Vishrut Srivastava

𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗟𝗟𝗠𝘀 𝗔𝗿𝗲 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹. 𝗕𝘂𝘁 𝗔𝗿𝗲 𝗧𝗵𝗲𝘆 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹? Last week, I wrote about why RBI-regulated lenders in India can’t use public LLMs for prompts involving PII or financial data. ✅ The solution? 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗟𝗟𝗠𝘀 — hosted on your own infra. But that triggered a great DM (thank you 🙌), asking the real question:   “Private LLMs sound right for compliance. But aren’t they prohibitively expensive to scale, update, and fine-tune?” 💯 And yes — 𝘁𝗵𝗶𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗮𝗰𝘁𝘂𝗮𝗹 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸. 𝗟𝗲𝘁’𝘀 𝗯𝗿𝗲𝗮𝗸 𝗶𝘁 𝗱𝗼𝘄𝗻: 1️⃣ 𝗖𝗼𝘀𝘁 = 𝗖𝗹𝗼𝘂𝗱 𝗕𝗶𝗹𝗹 𝗔𝗹𝗼𝗻𝗲 It’s compute + storage + bandwidth + team + orchestration + fallback. 2️⃣ 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 = 𝗝𝘂𝘀𝘁 𝗠𝗼𝗿𝗲 𝗚𝗣𝗨𝘀 You need:  •   Load balancers  •   Caching strategies  •   Prompt routing  •   Fine-grained user/session control 3️⃣ 𝗧𝘂𝗻𝗶𝗻𝗴 = 𝗢𝗻𝗲-𝗧𝗶𝗺𝗲 𝗝𝗼𝗯 Fine-tuning LLMs for lending use cases (like GST analysis or bank statement parsing) needs:  •   Domain-specific datasets  •   Guardrail systems  •   Evaluation pipelines 🔧 𝗦𝗼 𝗪𝗵𝗮𝘁’𝘀 𝘁𝗵𝗲 𝗪𝗮𝘆 𝗙𝗼𝗿𝘄𝗮𝗿𝗱? 💡 𝗖𝗼𝗺𝗽𝗼𝘀𝗮𝗯𝗹𝗲 𝗔𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 Use modular building blocks — not monoliths. E.g., pair open-source LLMs with LangChain-style prompt routers and internal rule engines. 💡 𝗗𝗶𝘀𝘁𝗶𝗹𝗹 + 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲 You don’t need a 65B parameter model for everything. Finetune smaller models (7B or even 3B) for very specific tasks. 💡 𝗜𝗻𝘃𝗲𝘀𝘁 𝗢𝗻𝗰𝗲, 𝗥𝗲𝘂𝘀𝗲 𝗘𝘃𝗲𝗿𝘆𝘄𝗵𝗲𝗿𝗲 Train one RBI-compliant retrieval pipeline — reuse across use cases (underwriting, fraud checks, etc.) 📌 𝗠𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: AI compliance doesn’t need to kill velocity. It just demands 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗻𝗼𝘁 𝗯𝗹𝗶𝗻𝗱 𝘀𝗰𝗮𝗹𝗶𝗻𝗴. 💬 𝗪𝗵𝗮𝘁’𝘀 𝗯𝗲𝗲𝗻 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝗹𝗼𝗰𝗸𝗲𝗿 𝗶𝗻 𝗮𝗱𝗼𝗽𝘁𝗶𝗻𝗴 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗟𝗟𝗠𝘀? 𝗜𝗻𝗳𝗿𝗮? 𝗣𝗲𝗼𝗽𝗹𝗲? 𝗥𝗢𝗜 𝗰𝗹𝗮𝗿𝗶𝘁𝘆? 👇 Comment or DM — I’d love to exchange notes. #TechTuesday #PrivateLLM #AIInfrastructure #ComplianceFirst #LangChain #FintechAI #AIinLending #OpenSourceLLM #CostofAI #IndiaAI #RBICompliance #EdgeAI 

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𝗥𝗲𝘁𝗮𝗶𝗹 𝗔𝗹𝗴𝗼 𝗧𝗿𝗮𝗱𝗶𝗻𝗴 𝟮.𝟬: 𝗜𝘀 𝗙𝗜𝗫 𝗔𝗣𝗜 𝘁𝗵𝗲 𝗞𝗲𝘆 𝘁𝗼 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗮𝘁𝗶𝗼𝗻? For the last two decades, institutional trading has thrived on algorithmic execution, leveraging the FIX protocol for seamless, standardized access. Now, with SEBI’s new framework taking effect in August 2025, retail algo trading in India is getting formalized—but why aren’t brokers adopting FIX for API uniformity? A standardized FIX-based API can transform the landscape by benefiting all participants: For Brokers -Reduced operational complexity by maintaining a API standard -Easier compliance with SEBI’s monitoring and authentication requirements -Faster onboarding of algo providers and traders with a plug-and-play approach For Clients/Algo Providers -Seamless migration across brokers without rewriting code -Improved execution speed and reliability -A more level playing field with institutions in terms of technology access While it makes sense to use REST APIs between clients and algo providers/brokers, FIX connectivity between algo providers and brokers is the logical step forward to start with. This ensures the robustness, speed, and standardization needed for scalable execution. Additionally, sophisticated retail clients who require persistent connectivity can opt for FIX-based connectivity for a more reliable and low-latency trading experience. With stricter compliance—mandating broker approvals, exchange empanelment, and security protocols—the algo trading ecosystem is set to evolve. We’ll see: -Brokers refining their API offerings while balancing compliance and user experience. -Fintechs & Algo Providers formalizing their role with exchange empanelment. -Stock Exchanges tightening surveillance while enabling seamless execution. -Retail Traders navigating stricter yet safer algo trading environments. As algo trading matures, will brokers move towards FIX to unlock these efficiencies? FIX Trading Community FIX Trading Community #AlgoTrading #RetailTrading #SEBIRegulations #APIs #Fintech #InstitutionalTrading #FIXProtocol

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RBI's Digital Lending Directions 2025, released on May 8, 2025, set a new benchmark for transparency and borrower protection in India's digital lending ecosystem. Here are the key changes and their impact as I see: 1️⃣ Regulated Entity (RE)–Lending Service Provider (LSP) Arrangements with Multiple Lenders (Para 6 | Effective Nov 1, 2025) 𝗖𝗵𝗮𝗻𝗴𝗲: LSPs must display a digital view of all loan offers from multiple REs, including unmatched lenders’ names, with details like APR, loan amount, and KFS links. 𝗜𝗺𝗽𝗮𝗰𝘁: Enhances borrower choice and transparency but increases product development/operations and compliance costs on LSPs in the near term. 2️⃣ Reporting Digital Lending Applications (DLA) to RBI (Para 17 | Effective Jun 15, 2025) 𝗖𝗵𝗮𝗻𝗴𝗲: REs must report all DLAs (own or LSP-operated) on RBI’s CIMS portal, certified by the Chief Compliance Officer, with updates for new/ceased DLAs. 𝗜𝗺𝗽𝗮𝗰𝘁: Creates a public DLA directory, boosting transparency but adding reporting obligations. Missteps in certification could lead to regulatory scrutiny, urging REs to strengthen compliance frameworks. 3️⃣ Enhanced Due Diligence for LSPs (Para 5) 𝗖𝗵𝗮𝗻𝗴𝗲: REs must conduct thorough due diligence on LSPs’ technical capabilities, data privacy, and regulatory compliance before agreements. 𝗜𝗺𝗽𝗮𝗰𝘁: This strengthens risk management, and only serious LSPs will likely prevail, thereby making this a customer-centric and responsible market. 4️⃣ Data Storage in India (Para 13) 𝗖𝗵𝗮𝗻𝗴𝗲: All data must be stored in India; overseas processing data must return within 24 hours. 𝗜𝗺𝗽𝗮𝗰𝘁: Ensures data sovereignty but increases infrastructure costs for REs/LSPs with global operations. 5️⃣ DLG Cap and Structure (Paras 23, 21) 𝗖𝗵𝗮𝗻𝗴𝗲: DLG continues to be capped at 5% of disbursed portfolio; contracts must specify cover extent, form, and invocation timeline. 𝗜𝗺𝗽𝗮𝗰𝘁: Limits REs’ risk exposure and will deter smaller LSPs from offering DLG, which may be seen as dissuading smaller fintech companies, especially those where capital and portfolio risk management capabilities are not mature. 6️⃣ Disclosure of Recovery Agents (Para 8) 𝗖𝗵𝗮𝗻𝗴𝗲: REs must notify borrowers of recovery agent details via email/SMS before contact. 𝗜𝗺𝗽𝗮𝗰𝘁: Enhances borrower safety but requires RE–LSP to streamline communication systems for compliance. These changes signal RBI’s push for a safer, more transparent digital lending landscape that balances innovation with consumer protection. REs and LSPs must act swiftly to align by November 2025 and June 2025 deadlines. #DigitalLending #RBI #Fintech #Banking #NBFC

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#SCF in India: Which Future is Most Likely? A) If TReDS builds an end-to-end SCF stack • Fintechs lose their edge unless they bring domain-led specialization (sector-focused, deep tech integrations, risk models). • But TReDS has regulatory baggage → slower to innovate. • Likelihood: Medium (regulatory bias but limited execution velocity). B) If Banks/NBFCs buy tech from SaaS vendors instead of partnering with fintechs • Banks already control >75% of SCF book (₹1.5–2 lakh Cr as per RBI/industry). • Fintechs risk being reduced to tech resellers, unless they own anchor/vendor relationships. • Likelihood: High (conservative banks prefer risk-free tech buys). C) If Banks/NBFCs refuse liquidity lines to fintechs • Already visible: lenders are risk-averse, prefer direct anchor tie-ups. • Fintechs without co-lending or risk-sharing frameworks are left in the cold. • Likelihood: Very High (liquidity is the biggest choke). D) If TReDS fails to expand beyond bill discounting • Still possible: TReDS penetration <1% of MSME invoices. • Leaves fintechs white space in dynamic discounting, dealer/vendor finance, structured SCF. • Likelihood: Medium-High (execution slowness gives fintechs breathing space). E) If regulator asks for SCF origination license • Would filter out weaker players → fintechs need balance sheet tie-ups, governance muscle. • Could create “oligopoly of licensed SCF originators”. • Likelihood: Medium (depends on frauds/misuse emerging). Reality • Fintechs don’t own liquidity. That’s the crux. They only own tech + distribution + niche products. • Banks/NBFCs + TReDS will always have a first-mover advantage on regulatory comfort + anchor access. • The fintech play? Build deep anchor SaaS rails, data-led underwriting, and plug into multiple lenders. Most likely outcome? Banks/NBFCs keep the lion’s share, TReDS crawls ahead, and fintechs survive only by being specialists, not generalists. In SCF, tech is easy. Liquidity and trust are the real moats. CC : VCs #SCF #Supplychainfinance #fintech

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「關於穩定幣的ChatGPT 時刻是否隨著法規的明確化而發生？」 最近，花旗發表報告指出穩定幣總供應量可能於2030年達到3.7兆美元 ；同時，渣打銀行估計，截至2028年底，市場規模可從目前2300億美元增至2兆美元 。當然除了銀行比較審慎樂觀的看待穩定幣的規模會持續成長，全球央行的央行-BIS則表示目前已經有超過40%的央行已評估穩定幣成長帶來的���融風險，尤其是對於支付應用的爆發可能會對金融穩定構成挑戰 。 2025年大概過了超過1/3，態勢上今年被視為穩定幣走向主流的關鍵之年 應該無庸置疑，除了歐盟MiCA自2024年6月開始對穩定幣提供監管，並將於12月30日全面生效，為機構提供可預測的合規框架 ；美國Genius Act亦預計於2025年中獲批，將進一步合法化市場並催生龐大美元儲備需求 。日本也明確訂出穩定幣相關的法規並且還有境外穩定幣代理模式。 當這些監管更加明確，對比較激進的銀行而言，穩定幣不僅可能成為高效的支付工具，更可能藉由既有法幣基礎的金融業務架構打造與虛擬資產領域的橋樑，建立與其他金融機構的差異化競爭優勢，當然，除了金融業加入虛擬資產產業，也有許多虛擬資產產業更緊鑼密鼓加入傳統金融產業並透過併購等申請相關牌照。 真是躬逢其盛啊！ “Is the “ChatGPT Moment” for Stablecoins Unfolding as Regulatory Clarity Emerges?” Citi recently released a report suggesting that the total supply of stablecoins could reach USD 3.7 trillion by 2030. At the same time, Standard Chartered forecasts the market could expand from USD 230 billion today to USD 2 trillion by the end of 2028. While banks are cautiously optimistic about steady growth in stablecoin adoption, the Bank for International Settlements (BIS)—often referred to as the central bank for central banks—has noted that over 40% of central banks globally have assessed the financial risks of stablecoin expansion, particularly highlighting the potential systemic challenges posed by their use in payments. With more than a third of 2025 already behind us, there is little doubt that this year is shaping up to be a critical turning point for stablecoins entering the financial mainstream. In the EU, MiCA has been regulating stablecoins since June 2024 and will be fully enforced by December 30, offering institutions a predictable compliance framework. In the U.S., the Genius Act is expected to pass by mid-2025, further legitimizing the market and fueling demand for USD reserves. Japan has also established clear legal frameworks for stablecoins, including an agency model for foreign-issued tokens. As regulatory frameworks become more defined, forward-leaning banks may find in stablecoins not only an efficient payment rail but also a strategic bridge between fiat-based financial operations and the virtual asset ecosystem. This opens up opportunities to build differentiated competitive advantages—whether through custody, liquidity, or settlement services. Meanwhile, we are also seeing increased movement in the opposite direction: crypto-native firms accelerating their entry into traditional finance through acquisitions and licensing. Incredible to be part of this moment! https://lnkd.in/eSyUjnMp https://lnkd.in/es55umSx

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Interesting blog Dr Ritesh Jain .. ISO 20022 integrates context — purpose codes, remittance data, and identity fields that carry compliance and trust natively within the transaction. Once combined with tokenised deposits or digital-native bank money, ISO 20022 allows programmable, real-time settlement with regulatory certainty. It’s a future where the data layer and the value layer converge. #tokenization #digitalassets #tokenizedmoney #iso20022 #payments #stablecoins Global Tokenization Forum Token Layer https://lnkd.in/d4_HQFmq

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What caught my attention was not only the simplification for GPT users on model selection but the clearly dated disclaimer that this holds true ‘As of 25th April’. The velocity of developments in the domain of models is staggering and doesn’t seem to be slowing down. Organizations are grappling with, which one/few to start with AND when/how to change (cos that will happen… and the impact could be significant). Nevertheless, we have the AI… now we need the IA: Imagination = of meaningful use cases Adoption = via effective change management Nimish Panchmatia , Sameer Gupta , Rajeev Hassamal , Harsh Narula , Michelle Lin , Stephanie Chu , Adrian Tan , Shuvro Sen , Sonika Saurav , Dominique J.S Nelson , Peter Gostev #dbsinnovates #dbsinnovation #genai #modelchoices #ai #ia #changemanagement

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Retail algo trading in India has grown faster than the rules and systems around it. That’s changing now — and for the better. The 2025 circulars from SEBI and NSE mark an important step toward building a safer, more transparent ecosystem for all. I see them as structure - the kind that allows innovation to scale responsibly. Retail traders still have access to API-based automation and Algo providers now have a framework to operate within. Brokers take on the role of active custodians of technology infrastructure and compliance. We’re entering a phase of mature automation, where speed meets accountability. At 5paisa, we welcome this clarity. It's not just good for the market, it's good for the people who trust us to help them participate in it.

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India’s CKYC rails just got a key upgrade. With CERSAI India introducing OTP-based consent for CKYC data access, we’re moving from passive data sharing to active user verification—a small change with major implications. It’s rebuilding trust in identity infrastructure one step at a time. But here’s the catch: Good consent layers only work if the infra is ready to support them. And for many REs and fintechs, integrating CKYC APIs with OTP workflows isn’t just plug-and-play. That’s why we built and launched India’s first self-hosted CKYC solution earlier this year at Decentro —to help regulated players go live with CERSAI’s new mandate without months of dev time or external dependencies. This shift goes live on May 9. By May 31, the old flow will close down. For those relying heavily on and using CKYC, the question now isn’t just “Are you compliant?” but also “Are you ready to adapt fast?” #Fintech #Infrastructure #KYC #CKYC #CERSAI #Digital #Identity #Consent #Compliance #APIs #Decentro Reach out to us at hello@decentro.tech for a chat anytime.

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India is gearing up to welcome Stablecoins in 2026 but with a smart, cautious twist. The government plans to roll out clear rules in the upcoming Economic Survey 2025-2026, setting the stage to “experiment” with these digital currencies backed by the rupee. The goal is simple: embrace innovation while keeping our money safe and our economy strong. What does that mean for us? Think faster, cheaper money transfers. Especially for millions of Indians sending and receiving remittances, stablecoins could cut costs and speed up payments. Instead of waiting days for bank transfers or paying high fees, folks might soon send money instantly, right through their phone wallets linked with UPI and Aadhaar. But don’t expect a free-for-all. The Reserve Bank of India (RBI) is keeping a close eye preferring a careful pace and backing its own Central Bank Digital Currency (CBDC). They want to make sure the system stays secure, with strict identity checks, caps on how much individuals can use, and guaranteed backing of these stablecoins. This way, any risks like fraud or money laundering get minimized. Who stands to gain the most? Cross-border remittances and business payments are top of the list. Picture a relative in the US sending money home using a rupee-backed Stablecoin like ARC it’ll be almost instant, cheaper, and fully regulated. Even local businesses could benefit by getting paid quickly and seamlessly, boosting overall liquidity and keeping value inside India. All in all, India’s plan for stablecoins blends innovation with responsibility. It promises to make sending and receiving money easier and safer helping both everyday people and businesses thrive in the digital economy. What’s your take? Could Stablecoins change how you handle payments?

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The Chainalysis 2025 Crypto Adoption Index is out. 🇮🇳 India ranks #1 globally across retail, DeFi, centralized services, and institutional activity. 🏦 Institutional adoption is no longer a theory — it’s here. Spot BTC ETFs and regulatory clarity in the US, EU, and APAC are driving it. 💵 Stablecoins are the new rails. USDT and USDC dominate, but EURC and PYUSD are growing fast. What stood out: → This isn’t just about volume. It’s about real usage — Pakistan, Vietnam, Nigeria are showing how deep adoption runs. → Stablecoins are the new “USD” in markets where people don’t trust their local currency. → The stablecoin sandwich model (on-ramp → stablecoin → off-ramp) is quietly replacing SWIFT. At Transak, we’re building for this. From retail remittances to enterprise stablecoin APIs, we’re enabling the next wave. 🇮🇳 India is leading. And we’re just getting started.

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The Scale-Based Regulation didn’t just classify NBFCs, it also exposed how they think differently about control. We studied how Base, Middle, and Upper Layer NBFCs manage compliance workflows across six key dimensions • Compliance Ownership • Task Tracking • Escalation Logic • Policy–Control Mapping • Role Continuity • Audit Readiness Upper Layer firms show visible maturity. They have mapped policies, layered escalation, and digitized tracking. But even at the top, one pattern persists • Role transitions still break continuity. • Compliance workflows still assume stability. • Risk creeps in silently when people leave. The chart in Slide 2 illustrates how maturity evolves - and where it falls short. #NBFCGovernance #ScaleBasedRegulation #ComplianceContinuity #OperationalRisk #InternalControls #WorkflowControl #BFSI #CaseStudy

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#Ashapura_Minechem Rerating Roadmap - The Scale Up Blueprint - Infra built. Volumes scaling. Cashflows compounding. - The next leg of Ashapura’s journey is about execution, monetization & rerating. 1️⃣ The Foundation Built ▪️Over $135 Mn invested in Guinea infra. ports, roads, mines ▪️3 owned ports with 16 Mtpa throughput ▪️Heavy capex phase completed, no major outlay ahead ➡️ Sets the stage for a volume-led cycle 2️⃣ The Scale-Up Begins ▪️Q1 FY26 exports – >2 Mn MT (record quarter) ▪️FY27–28 target – 15 Mn MT annually ▪️Port capacity expansion – 16 → 27 Mtpa by Q1 FY27 ➡️ Operating leverage to lift margins & profitability 3️⃣ Iron Ore – The Next Leg ▪️300 Mn+ tons reserves in Guinea ▪️Ex-mine local sales to beneficiation partners from FY26 H2 ➡️ Adds a new EBIT stream without large capex 4️⃣ India Value-Added Engine ▪️Leadership in bentonite, bleaching clay, kaolin, proppants ▪️R&D-led expansion into animal feed, coatings, foundry minerals ▪️Near-full utilization with China+1 demand tailwinds ➡️ Provides margin stability & steady cashflows 5️⃣ Cashflow & Balance Sheet Strength ▪️Capex done → free cashflow inflection ▪️India ops nearly debt-free ▪️Group debt to decline through internal accruals ➡️ Financial flexibility + FCF conversion = valuation catalyst 6️⃣ Governance Upgrade ▪️New commitment to quarterly bauxite volume disclosure ▪️Division-wise reporting improves transparency ➡️ Governance premium adds credibility & rerating potential 7️⃣ FY26–28 Rerating Triggers ✅ Volume ramp > 3 Mn MT/quarter ✅ Port capacity milestone – 27 Mtpa by FY27 ✅ Iron-ore EBIT contribution ✅ India R&D product launches ✅ Sustained EBITDA ~14 % + margins ➡️ Earnings visibility + FCF + governance = re-rating cycle 🧭 Investor Compass View - Ashapura’s rerating hinges on execution + discipline + disclosure. ▪️Infra built, capex done – no heavy spend ahead ▪️Volumes scaling up toward 15 Mn MT target ▪️Margins stabilising as logistics efficiency kicks in ▪️Iron ore monetisation adds fresh EBIT driver ▪️India value-add engine anchors profitability ▪️Governance + transparency driving investor trust - Scale + Margins + Cashflow + Credibility = Valuation Unlock No Buy/Sell Recommendation #StocksInFocus #StocksToWatch #Ashpaura #Ashapuraminechem

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Inflexor Ventures doubles down on deep tech with $150M Fund III In a strong signal of where India’s innovation economy is headed, early-stage VC firm Inflexor Ventures is targeting a $150 million Fund III — with its first close expected by Q2 FY26. This fund is laser-focused on emerging, less crowded sectors like: - Healthcare Devices - EV Battery Tech - Foundational LLMs (yes, India’s own AI stack!) The fund will invest in 25–27 startups, with cheque sizes of $2.5–3 million at the pre-Series A to Series A stage, for a typical ~15% equity stake. Inflexor’s current portfolio already includes deep tech and frontier tech standouts like Atomberg Technologies , Bellatrix Aerospace, CredFlow, and Bioprime™. With Fund III, the firm’s total portfolio will cross 50 startups. But perhaps the bigger story? Inflexor also announced the closure of its ₹350 crore Opportunities Fund, acquiring its earlier portfolio (Parampara Capital) in a move led by HDFC AMC — providing rare early liquidity to initial LPs. “India’s next decade belongs to homegrown deeptech. We’re here to support bold founders solving tough problems, not just chasing trends,” says Jatin Desai, Co-founder, Inflexor Ventures. With $120M+ AUM, Inflexor has quietly built one of India’s strongest theses across spacetech, AI, cybersecurity, agritech, and new-age hardware — and Fund III signals a step-change in ambition. Startups solving real-world problems — this fund is for you. Read more: https://lnkd.in/dfyhWp49 #InflexorVentures #FundIII #IndianStartups #DeeptechIndia #EVBatteryTech #LLMIndia #Healthtech #StartupFunding #IndianVC #EmergingTech #VentureCapital #IndianStartupTimes #AIIndia #Spacetech #CybersecurityStartups

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