Category: Startup

  • NODWIN Gaming Appoints Ex-Nazara CEO Manish Agarwal to Board Ahead of IPO

    This article was generated by AI and cites original sources.

    Gaming and esports media platform NODWIN Gaming has appointed Manish Agarwal, the former CEO of Nazara Technologies, to its board as a non-executive director, according to Inc42 Media. The move comes as NODWIN prepares for an initial public offering (IPO) and plans to raise $100 million in a pre-IPO round, following its demerger from Nazara last year.

    Board Changes and IPO Preparation

    Inc42 Media reports that NODWIN is planning to IPO and has announced plans to raise $100 million ahead of the public listing in a “mixed round.” In recent weeks, NODWIN also appointed Sidharth Kedia, a former CEO of NODWIN, as chief strategy and investments officer. The company also appointed Arnd Benninghoff, an EVP-Gaming at Modern Times Group, to its board.

    Agarwal’s appointment is notable due to his direct history with NODWIN’s corporate development. According to Inc42 Media, he served as CEO of Nazara Technologies from 2015-2022 and was instrumental in Nazara’s IPO and its majority acquisition of NODWIN.

    Agarwal’s Experience in Public Markets

    During Agarwal’s tenure at Nazara, the company acquired a 55% stake in NODWIN through a combination of cash and stock, followed by a ₹64 crore cash infusion in 2024. Inc42 Media reports that Nazara’s stake in NODWIN fell below the majority mark after Nazara opted out of an internal fundraise last year to provide NODWIN with greater autonomy ahead of the IPO.

    Agarwal was instrumental in Nazara’s public listing in 2021, which made Nazara the only listed mobile gaming company in India at that time, according to Inc42 Media. He is expected to apply this experience to help guide NODWIN’s IPO process, specifically by working on governance and strategic oversight as NODWIN scales across markets.

    In a statement quoted by Inc42 Media, Agarwal said: “Having seen NODWIN’s journey from its early stages to becoming a leading force in youth culture and gaming, it’s been exciting to watch its evolution. As the company now prepares for its next phase, including its path towards public markets, I look forward to contributing to building a globally relevant and institutionally strong platform.”

    Strategic Shift and Financial Performance

    Inc42 Media reports that NODWIN is transitioning from esports to a youth media brand to differentiate itself from its former parent company Nazara. According to cofounder Akshat Rathee, quoted by Inc42 Media, the startup plans to raise $100 million in a pre-IPO round, with existing investors expected to partially offload stakes through secondary transactions.

    On financial performance, NODWIN reported revenue of over ₹530 crore in the first three quarters of FY26 while maintaining EBITDA-positive operations, according to Inc42 Media. For FY25, revenue stood at ₹524 crore. Inc42 Media also reports that NODWIN’s revenue has grown at a CAGR of over 50% since 2018, based on company statements. Rathee expects NODWIN to close FY26 with ₹700 crore in revenue.

    Leadership Appointments and Strategic Focus

    Sidharth Kedia, who served as NODWIN’s CEO between 2019-2023, has been appointed as chief strategy and investments officer and will lead strategy, fundraising, and business combinations, according to Inc42 Media.

    Arnd Benninghoff, who oversees strategic investments and portfolio growth at Modern Times Group, is expected to support NODWIN’s pre-IPO fundraising efforts.

    Agarwal also cofounded Humyn Labs, a physical AI startup, in January 2025 to build data infrastructure for robotic systems, according to Inc42 Media.

    Source: Inc42 Media

  • TCS Nashik investigation leadership and Zepto’s IPO path: what tech operators and fintech plumbing reveal about risk, cost, and scale

    This article was generated by AI and cites original sources.

    Two threads in today’s ETtech Morning Dispatch point to how technology-driven businesses are managing risk and preparing for scale: Tata Consultancy Services (TCS) is escalating a workplace-harassment case at its Nashik unit with internal leadership for the investigation, while Zepto is continuing to shape its IPO narrative around cash burn control, profitability targets, and operational utilization. A separate item also highlights how India’s financial-rail infrastructure—via Sahamati—plans to bring banks, brokers, and asset managers into a shared shareholder ecosystem.

    For tech readers, the common theme is operational discipline: how companies structure accountability, how they tune unit economics, and how they integrate with broader systems that underpin transaction flows. The details matter because they indicate what investors, regulators, and partners may expect from tech companies as they scale.

    TCS Nashik case: investigation structure as an operational control signal

    The newsletter reports that TCS COO Aarthi Subramanian will head the investigation into a sexual harassment case at TCS’s Nashik unit. The dispatch frames this as escalation and pairs it with a note that TCS pledges strict action in the Nashik harassment case, according to the newsletter’s “Also in the letter” section.

    From a technology-industry perspective, this is less about policy commentary and more about governance mechanics. Putting a COO-level executive in charge of an investigation suggests a preference for centralized oversight rather than leaving incident handling solely at the site level. While the source does not provide the internal process steps, timelines, or compliance framework, the leadership assignment itself functions as an operational control—one that can affect how quickly findings are escalated and how remediation is coordinated across teams.

    The newsletter does not provide additional case details beyond the leadership change and the pledge of strict action. That limitation matters: readers should treat the dispatch as an update on who is leading the investigation, not as a full account of evidence or outcomes.

    Zepto’s IPO road: profitability framing tied to utilization and cost controls

    The other major item is Zepto’s “road to IPO,” which the newsletter connects to a set of operational levers. The dispatch notes that Zepto has trimmed cash burn before IPO and is pitching profitability by FY29 to investors, amid “growing competition,” as described in the newsletter’s “Also Read” reference.

    Within the newsletter’s “Growth strategy” section, Zepto’s plan is described in concrete operational terms: it aims to increase order volumes without adding new dark stores, relying on improved utilisation and tighter cost controls. The dispatch also reports that daily orders are pegged at 2.4–2.5 million, helped by discounts and a value-first positioning.

    For readers focused on the technology behind quick-commerce operations, the key is that the IPO narrative is anchored to capacity efficiency. “Improved utilisation” and “tighter cost controls” are typically the kinds of metrics that can be influenced by warehouse throughput, staffing, routing, inventory management, and systems for demand forecasting and fulfillment—though the newsletter does not explicitly name any of these technologies. Even without those specifics, the stated strategy implies that Zepto is trying to demonstrate that its network can scale order volumes through better use of existing infrastructure.

    The dispatch also points to an “order volume without new dark stores” approach, which can be read as an attempt to reduce capital intensity. However, the source does not provide capex figures, unit economics, or margins. Observers may watch for whether Zepto’s investor communications translate these operational targets into measurable financial improvements—especially given the explicit profitability timeline of FY29.

    Competition and valuation overhang: what investors are likely to test

    The newsletter references a “competitive backdrop” and mentions “valuation overhang,” but it does not detail which competitors are driving the pressure in this particular excerpt. It does, however, cite the “Also Read” item that frames Zepto’s IPO positioning in the context of “growing competition.”

    In tech-industry terms, this combination—cash burn trimming plus a profitability date—often reflects a shift in what investors demand from growth-stage operators. If “valuation overhang” is part of the story, it suggests that market expectations may be sensitive to execution risk: whether increased order volumes and improved utilisation can actually translate into sustainable margins.

    Because the newsletter does not provide the valuation numbers or the specific basis for “overhang,” readers should avoid over-interpreting the term. Still, the presence of these phrases indicates that the IPO conversation is not only about growth metrics (like daily orders) but also about how quickly the business can improve its cost structure.

    Sahamati’s shareholder expansion: fintech infrastructure and the ownership layer

    One “Why it matters” item in the dispatch concerns Sahamati, described as a role in a broader financial ecosystem. The newsletter states that banks, asset management firms, stock brokers are set to become shareholders in Sahamati, citing sources.

    It also provides specific expected stake ranges: State Bank of India, HDFC Bank, ICICI Bank, Axis Bank, and Yes Bank are expected to pick up stakes of 7.5% to 8.5% each, “sources told us.” The newsletter further reports that Zerodha, Dhan and Angel One have reportedly taken about 8% each. It adds that Dezerv has acquired around 2%.

    While the Sahamati excerpt is not framed as a technology product feature, the structure it describes is still a tech-relevant infrastructure story. Ownership and governance can influence how quickly shared systems evolve, how standards are implemented, and how participating institutions coordinate. The newsletter also mentions that the government has notified establishment of Rs 10,000 crore Fund of Funds 2.0 and that it includes “deeptech-focused AIFs,” “micro VCs for early-growth startups,” and “tech-driven, innovative manufacturing startups,” among other categories. The dispatch labels these as part of what matters, suggesting a policy backdrop for technology investment.

    As with the other sections, the newsletter does not provide technical details about Sahamati’s systems, protocols, or product scope in this excerpt. But the shareholder composition indicates that multiple classes of financial institutions—banks, brokers, asset managers—are converging on a shared platform where participation may be tied to both governance and operational integration.

    Why these updates matter for tech operators

    Taken together, today’s items highlight three operational layers that technology companies and infrastructure providers can’t separate: accountability (TCS naming a COO to lead an investigation), scalability economics (Zepto increasing order volumes without new dark stores by improving utilisation and cost controls), and system participation (Sahamati’s expanding shareholder base including major banks and online brokers).

    None of the implications are guaranteed by the newsletter alone. But the pattern is clear: as tech businesses face scrutiny—from workplace governance to IPO readiness to shared fintech infrastructure—execution details increasingly determine credibility. Readers may watch how TCS’s investigation process and actions are handled, whether Zepto’s FY29 profitability pitch aligns with ongoing cash burn trends and utilisation improvements, and how Sahamati’s new shareholder mix affects its platform’s direction.

    Source: Tech-Economic Times

  • KhetiBuddy Consolidates Farm, Supply-Chain, and Sustainability Data Into Single Platform

    This article was generated by AI and cites original sources.

    Pune-based SaaS startup KhetiBuddy is positioning its platform as a way to consolidate fragmented farm data into business intelligence for agribusinesses. According to YourStory, the company’s software helps agribusiness customers track crops, supply chains, and sustainability from a single platform, reducing the need to manage information across multiple systems. (YourStory, 2026-04-14)

    A unified platform for farm data

    KhetiBuddy’s SaaS application is designed for agribusiness workflows. Rather than treating farm operations, logistics, and sustainability reporting as separate tools, the platform consolidates crop tracking, supply-chain activity mapping, and sustainability management within one interface. (YourStory, 2026-04-14)

    This consolidation approach addresses a practical challenge: farm and agricultural operations produce data in different formats and at different points in the operational lifecycle—crop information tied to fields, operational movement tied to supply chains, and sustainability-related signals tied to practices and reporting requirements. KhetiBuddy’s product concept centers on data consolidation: bringing inputs from these different domains into a unified view for business intelligence. (YourStory, 2026-04-14)

    Business intelligence in agribusiness SaaS

    YourStory describes KhetiBuddy’s goal as turning “fragmented farm data” into business intelligence. While the source does not provide technical specifics such as the company’s data model, analytics methods, or integration approach, the concept reflects a common SaaS pattern: collect and normalize operational data, then apply analytics or reporting layers so customers can make decisions based on consolidated information. (YourStory, 2026-04-14)

    A platform that tracks crops and supply chains alongside sustainability could support internal reporting and cross-functional coordination—operations teams reviewing crop status, logistics teams monitoring supply-chain progress, and sustainability stakeholders tracking practice-related information. The source does not enumerate specific features, dashboards, or outputs. Observers may watch for how KhetiBuddy operationalizes “business intelligence” across these three areas: whether it focuses on reporting, trend analysis, traceability, or exception monitoring. (YourStory, 2026-04-14)

    Tracking crops, supply chains, and sustainability

    The platform’s product description highlights three tracking domains: crops, supply chains, and sustainability. This combination suggests the platform is intended to connect farm-level activity to downstream business processes while incorporating sustainability considerations into operational workflows. (YourStory, 2026-04-14)

    Connecting these domains typically requires consistent identifiers and data relationships—such as linking crop records to batch or lot information that can follow through a supply chain. The source does not mention whether KhetiBuddy uses specific standards, third-party integrations, or traceability mechanisms. However, the positioning as a unified tracking system suggests the platform’s data layer is designed to support cross-domain queries—for example, viewing crop-related information alongside supply-chain progress and sustainability data. (YourStory, 2026-04-14)

    The product framing indicates a systems-integration approach: fragmentation is presented as the problem, and consolidation into one SaaS platform as the solution. For agribusiness customers, this could mean less manual reconciliation across tools and fewer separate workflows for different reporting or operational tasks. (YourStory, 2026-04-14)

    Implications for farm-data infrastructure

    Farm data infrastructure is increasingly central to agricultural business operations. YourStory emphasizes a particular pain point: fragmented farm data. KhetiBuddy’s positioning suggests the market opportunity lies not only in capturing data, but in making it usable as business intelligence—converting raw or scattered operational information into structured insights that support decisions across teams. (YourStory, 2026-04-14)

    This could reflect a broader shift toward software platforms that unify multiple operational functions—crop management, supply-chain visibility, and sustainability tracking—within a single vendor-provided system. The source does not name competitors or compare approaches. The described capability set—tracking across crops, supply chains, and sustainability—indicates what KhetiBuddy is optimizing for: cross-functional visibility backed by consolidated data. (YourStory, 2026-04-14)

    For agritech SaaS evaluation, key questions to monitor are how the platform handles data consolidation in practice: what sources it can ingest, how it standardizes and links records, and what outputs it produces as “business intelligence.” The YourStory summary does not provide implementation details, but the product’s scope suggests those areas will be central to delivering on its stated aim. (YourStory, 2026-04-14)

    Source: YourStory

  • Startup India FoF 2.0 Expands Capital Pipeline to Deeptech and Manufacturing

    This article was generated by AI and cites original sources.

    India’s Startup India Fund of Funds (FoF) program is expanding its focus beyond its initial mandate. The Department for Promotion of Industry and Internal Trade (DPIIT) has notified Startup India FoF 2.0 with a ₹10,000 Cr corpus, effective April 13. According to Inc42 Media, the scheme now covers deeptech, micro VCs for early-stage startups, and tech-driven manufacturing. Prime Minister Narendra Modi approved the second edition in February, with disbursals to alternative investment funds (AIFs) planned across the 16th and 17th finance commission cycles.

    Expanded Segments and Capital Allocation Framework

    Startup India FoF 2.0 maintains the core “funds-of-funds” structure while expanding the types of startups eligible for funding. Rather than investing directly in startups, the scheme channels public capital into SEBI-registered AIFs, which then deploy capital into startups.

    According to Inc42 Media, the expanded segments include:

    • AIFs supporting deeptech startups developing novel solutions that address complex problems with longer R&D cycles and higher costs.
    • Micro VCs supporting early-stage startups in the early phases of developing their solutions.
    • AIFs supporting tech-driven manufacturing startups.
    • AIFs supporting sector and stage-agnostic startups.

    These categories address different stages and risk profiles. The deeptech segment targets R&D timelines and cost structures that may be difficult to match with shorter-duration funding models. The inclusion of tech-driven manufacturing suggests an intent to support startups where product development and commercialization depend on industrial processes. The sector and stage-agnostic category broadens the range of technology areas eligible for evaluation by AIFs.

    Implementation Structure and Governance

    The scheme operates through a structured governance model. The Small Industries Development Bank of India (SIDBI) will act as the implementing agency, with DPIIT also selecting an additional implementation agency.

    According to Inc42 Media, the process includes:

    • Proposal and due diligence: Implementing agencies will seek proposals from AIFs and conduct due diligence.
    • VCIC review: A DPIIT-constituted Venture Capital Investment Committee (VCIC), including industry representation and subject matter experts, will evaluate investment proposals. The notification states that “VCIC will consider AIFs managed by experienced professionals with proven track records for funding under the Scheme.”
    • Tranche-based investments: After selection, AIFs will evaluate startups for investments in tranches.
    • Mentoring requirements: AIFs are required to mentor and nurture startups before reducing their stakes.
    • Complementary funding: AIFs may raise funds from other investors besides the FoF to meet their target corpus, suggesting the scheme is intended to complement rather than replace private capital.

    Timeline and Historical Context

    Startup India FoF 1.0 was launched in 2016 under the Startup India action plan with an initial corpus of ₹10,000 Cr. The primary goal was to catalyze private investment into Indian startups.

    In a written reply before the Rajya Sabha in February, Minister of State for Commerce Jitin Prasada reported that AIFs supported under the scheme have invested ₹25,548 Cr in 1,371 startups across 29 states and union territories. These supported startups have generated over 2 lakh jobs. The source does not provide a breakdown by sector, technology type, or stage.

    Implementation Considerations

    FoF 2.0’s expansion toward deeptech and tech-driven manufacturing indicates a policy focus on addressing technology development constraints, particularly longer R&D cycles and higher costs. However, Inc42 Media does not provide performance metrics for the new segments or results from the April 13 launch.

    Several implementation details could influence whether the technology focus translates into investment behavior:

    • AIF selection criteria: The VCIC’s focus on AIFs with proven track records could favor teams with prior experience in deeptech or manufacturing commercialization cycles.
    • Tranche-based structure: Investments in tranches could align with staged technology milestones, though the notification does not specify milestone types.
    • Mentoring and support: AIF mentoring requirements could support complex technology projects, though the source does not define what “mentor and nurture” includes in practice.
    • Leverage of private capital: The permission for AIFs to raise additional funds could expand available capital for technology startups, though the source does not quantify expected additional capital.

    Source

    Source: Inc42 Media

  • Humyn Labs plans $20M expansion of human data layer for physical AI and robotics

    This article was generated by AI and cites original sources.

    Humyn Labs, a physical AI startup, plans to deploy $20 million to scale what it describes as a human data layer aimed at improving how robotics and physical AI systems learn. The company is addressing a constraint it identifies in the industry: limited availability of high-quality, real-world human data and systems that can train beyond controlled environments. According to Tech-Economic Times, the funding will support expanded data collection operations across India, Southeast Asia, Latin America, and the Middle East.

    The data bottleneck in physical AI

    Humyn Labs frames its effort around a specific technical challenge: robotics and physical AI systems often require training signals that reflect how people behave outside lab or simulation conditions. The source notes that the industry constraint is not just the presence of data, but the availability of high-quality, real-world human data and the ability to train systems that can generalize beyond controlled environments.

    This distinction matters for physical AI because robotics use cases—where systems must interact with people, handle objects, and operate in dynamic settings—can be sensitive to variations in human behavior and context. When training is limited to tightly controlled conditions, the resulting models may struggle when they encounter the broader range of real-world interaction patterns.

    How Humyn Labs plans to use the funding

    Tech-Economic Times reports that Humyn Labs will use the new funds to expand its data collection operations. The stated geographic scope—India, Southeast Asia, Latin America, and the Middle East—indicates an intent to broaden the range of real-world human data sources the company can draw from.

    Scaling data collection involves more than adding volume. The source highlights the aim of obtaining high-quality human data and enabling training that works beyond controlled environments. The “human data layer” appears to be a system for converting real-world observations into training assets that physical AI developers can use.

    The role of a human data layer

    The source uses the term human data layer to describe what Humyn Labs is scaling. In industry terms, a data layer can function as infrastructure that sits between raw observations and model training, potentially standardizing how data is captured, processed, and made usable for learning systems. The company’s data layer is positioned to address two technical goals: (1) addressing limited availability of high-quality real-world human data, and (2) supporting training beyond controlled environments.

    This matters because physical AI systems frequently require training datasets that reflect the diversity of real-world conditions—different spaces, different routines, and different interaction styles. If a startup can improve the availability of such data in a structured way, it could reduce friction for robotics teams trying to train models that perform reliably outside controlled settings.

    Implications for the robotics ecosystem

    Humyn Labs’ plan is explicitly tied to robotics and physical AI, and the source frames its work as addressing a constraint for companies building systems that must operate with people in real environments. The funding’s geographic expansion—India, Southeast Asia, Latin America, and the Middle East—could broaden the range of human contexts represented in training data, which may help physical AI systems learn patterns that are not confined to a single region or dataset source.

    The emphasis on scaling data collection suggests the company is treating data acquisition and processing as a strategic capability. This could influence how physical AI teams approach dataset strategies: instead of treating data as a one-time asset, they may increasingly view it as ongoing infrastructure that must be expanded and refreshed as systems move from lab settings to real deployments.

    In summary, Humyn Labs is allocating $20 million to expand a human data layer designed to improve training for physical AI and robotics by targeting high-quality real-world human data and enabling training beyond controlled environments. The expansion will cover multiple regions, aligning with the stated goal of making training data more representative of real-world human behavior.

    Source: Tech-Economic Times

  • India Launches Fund of Funds 2.0 with Rs 10,000 Crore for Deep-Tech, Manufacturing, and Early-Stage Startups

    This article was generated by AI and cites original sources.

    The News

    India is launching Fund of Funds 2.0 with a Rs 10,000 crore corpus, according to Tech-Economic Times. The program is designed to expand startup support by directing capital across four segments, including dedicated funding for deep-tech and manufacturing startups as well as support for early-growth stage enterprises. The scheme aims to boost venture capital investments and continues prior startup investment initiatives.

    Focus on Deep-Tech and Manufacturing

    Fund of Funds 2.0 allocates dedicated resources for deep-tech and manufacturing startups. Deep-tech typically refers to startups that develop technical research and development and engineering-intensive products, while manufacturing-oriented companies rely on capital, supply chains, and process development to move from prototypes to scaled production. By carving out a dedicated segment for these categories, the fund’s structure indicates that the program targets companies where technical development and physical production are central to their operations.

    Tech-Economic Times reports that the initiative is divided into four segments. The source identifies deep-tech and manufacturing startups and early-growth stage enterprises as two of these segments, but does not specify the remaining two segments in detail.

    Capital Mechanics and Venture Investment

    The program is stated to boost venture capital investments. In industry terms, venture capital enables startups to fund engineering cycles, prototype iterations, and early go-to-market activities. A “fund of funds” mechanism typically channels capital through investment vehicles rather than funding individual startups directly. The source does not provide operational details such as how Fund of Funds 2.0 will select managers, specific investment stages beyond “early-growth,” or co-investment terms.

    The program is designed to expand the pool of venture capital available to startups, with particular attention to deep-tech and manufacturing companies and early-growth enterprises. This focus may be significant for technology ecosystems because deep-tech and manufacturing projects often require longer development timelines and higher upfront costs compared with software-based offerings.

    Early-Growth Stage Support

    Fund of Funds 2.0 will provide support to early-growth stage enterprises. The term “early-growth” refers to companies that have moved past initial validation and are working through scaling challenges. In technology development, this stage typically involves translating engineering progress into reliable delivery, operational maturity, and repeatable deployment. The source does not provide performance targets, allocation ratios, or timelines for this segment.

    Continuing Investment Momentum

    Tech-Economic Times describes Fund of Funds 2.0 as continuing the momentum of startup investments. This positioning suggests the policy is intended as a follow-on to prior investment support efforts, though the source does not name earlier programs or detail how Fund of Funds 2.0 differs from previous rounds. The fund is positioned as part of an ongoing effort to sustain investment activity in India’s startup ecosystem.

    Fund of Funds 2.0’s launch details include a Rs 10,000 crore corpus, a four-segment structure, and dedicated focus on deep-tech and manufacturing startups and early-growth stage enterprises. The program’s technology orientation is evident in its explicit segment focus. Implementation details and funding patterns will indicate how the stated emphasis on deep-tech and manufacturing translates into venture capital activity.

    Source: Tech-Economic Times

  • BharatPe COO Shashvat Nakrani Transitions to Strategic Advisory Role

    This article was generated by AI and cites original sources.

    BharatPe, an Indian fintech unicorn, is undergoing another leadership transition as cofounder and COO Shashvat Nakrani steps away from his executive role. In a LinkedIn post cited by Inc42, Nakrani said he will transition into a strategic advisor role from May while continuing to serve as a director on BharatPe’s board. The move reflects how fintech companies manage leadership changes while maintaining governance continuity.

    From COO to Strategic Advisor: Operational Changes

    According to Inc42 Media, Nakrani will no longer be in daily operations. Instead, he plans to “explore new ideas and ventures” and will take on a non-executive capacity focused on areas including fundraising, IPO plans, mergers and acquisitions, and long-term strategy. Nakrani will continue to serve as a director on BharatPe’s board.

    For technology organizations, the distinction between executive and non-executive roles affects how leadership responsibilities are distributed. Changes in leadership structure can influence priorities around platform reliability, compliance, merchant onboarding workflows, and partnership cadence. BharatPe appears to be retaining strategic continuity through board-level involvement while changing the management layer that oversees day-to-day decisions.

    Leadership History and Governance Context

    Nakrani’s exit from daily operations occurs as BharatPe works to strengthen its business and governance after a series of leadership changes in recent years. Nakrani cofounded BharatPe with Bhavik Koladiya in 2018. Ashneer Grover, described by Inc42 as ex-Grofers CFO, joined as the startup’s third cofounder within the same year. Both Koladiya and Grover departed from BharatPe in 2022.

    Repeated leadership changes can influence how quickly an organization stabilizes its internal controls. The focus on “business and governance” suggests an effort to align technical systems—such as risk management processes and compliance workflows—with leadership accountability.

    Market Opportunity: Small Merchants in India

    Nakrani pointed to the market opportunity BharatPe addresses, noting that millions of small merchants in India still lack access to simple financial tools—a problem BharatPe “set out to solve.” This statement anchors the company’s mission in a specific user segment: small merchants who need straightforward financial capabilities.

    Building for small merchants typically requires systems that handle low-friction onboarding, understandable transaction flows, and operational resilience at scale. Leadership transitions can affect how engineering and product teams balance feature expansion against reliability and governance needs.

    Inc42 also notes that Nakrani “remains the largest individual shareholder in BharatPe” and intends to stay invested in the startup’s long-term journey. Shareholder alignment can influence which initiatives receive sustained support through uncertain market conditions—particularly in fintech, where product improvements depend on regulatory compliance, risk controls, and partner integrations.

    Strategic Focus in the Non-Executive Role

    In his non-executive role, Nakrani’s responsibilities include fundraising, IPO plans, mergers and acquisitions, and long-term strategy. This focus typically intersects with technology planning: funding rounds and IPO readiness often require stronger reporting discipline, auditability, and internal controls that can be implemented through product instrumentation and documentation.

    M&A activity in fintech frequently involves integrating systems—such as merchant data models, transaction processing logic, and customer support workflows—into a unified operational environment. By explicitly naming M&A within Nakrani’s advisory scope, the source suggests the company may be treating these strategic moves as part of its near-to-mid-term planning.

    Nakrani stated that the startup will continue to be led by its “existing management team and board,” which he said are “well placed to guide its future.” This structure separates governance continuity (board involvement) and strategic continuity (long-term advisory scope) from day-to-day execution, which can help reduce disruption during leadership transitions.

    Source: Inc42 Media

  • StepFun’s Onshore Restructuring: Foundation-Model Startup Prepares for IPO

    This article was generated by AI and cites original sources.

    Shanghai-based AI startup StepFun, which develops general-purpose foundation models, has decided to move toward an onshore corporate structure as it is “heavily backed by state capital,” according to Tech-Economic Times. The company’s restructuring is being framed as a step that could support an eventual IPO pathway, and it comes after the startup’s founding in April 2023.

    The News

    For observers tracking the business side of AI, StepFun’s decision underscores that large-language model development is only one part of the story. Equally important are the corporate and capital arrangements that determine how a company can operate, report, and potentially list in the future. In StepFun’s case, Tech-Economic Times links the planned structural shift directly to the composition of its backing.

    StepFun and Its Foundation-Model Focus

    Tech-Economic Times describes StepFun as a Shanghai-based company that develops general-purpose foundation models. The report also characterizes the startup as one of China’s leading AI startups that have developed large-language foundation models.

    According to Tech-Economic Times, StepFun was founded in April 2023 by Jiang Daxin, described in the source as a former Microsoft Vice President. The company’s leadership background and the timing of its launch place it in the wave of post-2022 foundation-model activity, when many AI firms moved from narrower applications toward general-purpose model strategies.

    Why an Onshore Structure

    The central development in the Tech-Economic Times report is StepFun’s choice to move toward an onshore corporate structure. The source attributes this choice to the company’s ownership and funding profile: it is “heavily backed by state capital,” and an onshore structure is presented as more appropriate for that situation.

    In practical terms, corporate structuring decisions can affect how a company aligns with the regulatory and reporting environment of the jurisdiction where it intends to operate and, potentially, list. Tech-Economic Times connects the restructuring to IPO readiness, though it does not provide additional detail on the exact mechanics of the transition or the target listing venue.

    What This Means for AI Startups

    Tech-Economic Times frames StepFun’s restructuring as paving the way for an IPO. While the source does not specify a filing date, it establishes the intent: the company’s move toward an onshore structure is described as a preparatory step.

    This matters for the AI industry because foundation-model startups often face a dual challenge. On the technical side, they must maintain development momentum to keep up with fast-moving model architectures and tooling. On the business side, they must ensure that the company’s legal and capital structure can support future fundraising and public-market scrutiny.

    In StepFun’s case, Tech-Economic Times links the restructuring to the presence of state capital backing. This suggests that the company’s capital structure could influence which corporate setup is considered appropriate, and that this appropriateness is tied to the expectations of stakeholders involved in an IPO process.

    Looking Ahead

    Based on Tech-Economic Times’ account, the next observable steps for StepFun would likely revolve around how the onshore arrangement is implemented. However, the source material provided does not include details such as timelines, specific jurisdictions, or the precise corporate entities involved.

    For technology observers following the foundation-model market, the broader takeaway is that model development and corporate structuring can move in parallel. StepFun’s move indicates that investors, regulators, and market participants may treat corporate alignment—especially in the presence of state-backed capital—as a meaningful factor in IPO feasibility.

    Source: Tech-Economic Times

  • Cashfree Payments Appoints Ex-Visa Finance Head Sameer Gandhi as CFO

    This article was generated by AI and cites original sources.

    Cashfree Payments, a fintech company offering payment gateway, payouts, and banking API solutions, has appointed Sameer Gandhi—formerly a finance leader at Visa—as its new chief financial officer (CFO). The move, reported by Inc42 Media, comes as Cashfree seeks to improve financial performance after a widening loss in FY25 and following an RBI penalty for payment-aggregator compliance issues.

    The Appointment

    In an official statement cited by Inc42 Media, Cashfree said Gandhi will anchor its financial strategy, enhance efficiency in financial operations and revenue planning, and help accelerate growth with the aim to become profitable in coming quarters. Cashfree’s current CFO, Vikas Guru, is expected to support the transition, though his last working day is yet to be determined.

    Gandhi previously led the finance department at Visa since 2017. According to the source, his background spans more than 25 years and includes roles at Vodafone, Citigroup, and CRISIL. Cashfree describes him as a chartered accountant.

    Regulatory Licenses and Operations

    Cashfree positions itself as a payments platform holding all three RBI payments licenses: payment aggregator (PA), cross-border (PA-CB), and prepaid payment instrument (PPI). According to the source, Cashfree claims this licensing coverage provides an edge over other players and has supported growth, particularly in cross-border payments.

    The source indicates that Cashfree processes over $80 billion in annual transactions and serves more than 1 million businesses. The company was founded in 2015 by Akash Sinha and Reeju Datta and serves clients including Zomato, CRED, and Delhivery.

    Financial Performance and Challenges

    Cashfree’s financial results show pressure. In FY25, its net loss rose 14% to ₹154.1 crore from ₹135 crore in the previous fiscal year. Its top line remained flat at around ₹640 crore. At the operating level, EBITDA loss increased to ₹131 crore from ₹109.5 crore in FY24, with margins slipping to -20% from -17%. Cashfree has not yet disclosed its financial position for FY26.

    Regulatory Penalty

    The CFO appointment comes at a time when Cashfree faces regulatory scrutiny. The company was recently penalized by the RBI for flouting payment aggregator norms. According to the source, during an inspection period between April 2024 and June 2025, Cashfree made certain non-permissible debits from its escrow account.

    Escrow handling is a core operational component in payment aggregator models, as it governs how funds are held and released according to permitted rules. The compliance finding indicates that Cashfree’s transaction settlement processes and escrow-account controls are areas regulators scrutinize.

    Funding and Backing

    Cashfree has raised over $90 million from investors including KRAFTON, Y Combinator, Smilegate Investment, and Musha Ventures, according to the source. The company is described as KRAFTON-backed.

    Source: Inc42 Media

  • Shortgun Games acquires 30% stake in GiantDot to integrate game development with storytelling and AI-driven iteration

    This article was generated by AI and cites original sources.

    Shortgun Games, a game development studio founded in 2022, has acquired a 30% stake in creative studio GiantDot. According to Entrackr, the goal is to integrate game development with storytelling capabilities—bringing creative functions like visual identity, narrative, and audience positioning into the core development process rather than treating them as post-production layers. The deal also includes the use of AI-driven tools to improve iteration speed and explore multiple creative directions during game development.

    Integration of creative workflow

    The partnership is designed to start working together from the early stages of game development. This timing changes where creative decisions are made: instead of adding narrative and visual identity after gameplay is largely defined, the companies aim to align gameplay, narrative, and visual elements earlier in the process.

    Entrackr characterizes GiantDot’s capabilities as spanning production, post-production, motion graphics, and digital storytelling. By tying those functions to Shortgun Games’ development work from the outset, the partnership enables visual identity and story direction to influence gameplay design decisions sooner—potentially reducing the need for later rework when narrative or visual requirements change.

    This kind of integration typically involves changes to how teams manage assets and creative direction across disciplines. While the Entrackr report does not name specific tools, it specifies the targets of integration: visual identity, narrative, and audience positioning. In practice, these targets correspond to how teams organize concept art, motion graphics assets, story beats, and presentation elements that connect to gameplay. The described approach points to a more unified production system—one that treats storytelling and visuals as part of the same development loop as gameplay.

    AI-driven iteration and creative exploration

    Shortgun Games and GiantDot will use AI-driven tools to improve iteration speed and to explore multiple creative directions during development. This positions AI as a production accelerator and a mechanism for creative exploration rather than as a replacement for human creative work.

    Iteration speed is a practical metric for production teams: faster iteration can shorten the time between concept changes and internal reviews. AI-driven tools could support rapid variants of narrative presentations, visual identity explorations, or motion graphics treatments—though Entrackr does not specify what the tools do at the feature level. The emphasis on exploring multiple creative directions suggests an experimentation loop where teams can test alternatives and converge on choices that better align gameplay with story and visuals.

    The technology implication is that AI is being positioned inside the development lifecycle—from early-stage alignment through iterative refinement—rather than only being used after content is complete. This approach could reduce friction that occurs when story and visuals are finalized after gameplay decisions are locked. If iteration cycles happen earlier and more frequently, teams may be able to coordinate constraints across disciplines more effectively.

    Long-term IP development and audience engagement

    Entrackr reports that the move is expected to strengthen Shortgun Games’ focus on building long-term gaming IP and on improving audience engagement. Long-term IP depends on consistent world-building and presentation across multiple releases and content formats. When narrative, visual identity, and audience positioning are integrated into core development, the resulting IP may be more coherent from the start.

    Shortgun Games’ stated focus—building gaming IP with an emphasis on storytelling and design—aligns with the partnership’s objectives. Entrackr notes that GiantDot operates across digital storytelling and motion graphics, which are common components of how games communicate brand identity and narrative tone to players. Both companies will work together from early stages to enable alignment between gameplay, narrative, and visual elements.

    A 30% stake suggests a level of commitment beyond a one-off vendor relationship, potentially encouraging deeper integration of workflows and shared planning. Entrackr does not describe governance terms or technical ownership, so observers may watch whether this leads to shared pipelines, shared asset standards, or tighter coordination between creative and gameplay teams.

    Funding context and next steps

    In August of the previous year, Shortgun raised $1 million in a seed funding round from angel investors. This provides context for the company’s current stage: a seed round indicates the studio is investing in capability and partnerships as it builds toward product and IP growth.

    The most concrete items to monitor—based on Entrackr’s description—are the operational outcomes of the integrated pipeline and the practical effects of AI-driven iteration. If teams bring visual identity, narrative, and audience positioning into core development, then production milestones may shift earlier in the schedule, with story and visual direction influencing gameplay prototypes sooner. If AI tools are used to explore multiple creative directions, the development process may show more frequent internal concept comparisons and faster convergence on creative choices.

    Entrackr does not mention the title of any specific game, nor does it specify which AI tools or workflows will be used. The partnership illustrates a direction in game development: treating storytelling and visual identity as core inputs to gameplay development, with AI applied to speed up iteration and broaden creative exploration.

    Source: Entrackr : Latest Posts