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Tarkeshwar Thakur shared thisSpotlight on Drivetrain customers 😇Tarkeshwar Thakur shared thisMost of my conversations with customers happen over Zoom. This time we flew out, set up cameras, and sat across the table from them. We heard how they found Drivetrain AI, what was broken before, and what changed after. Hearing it in person, in their own words, hit very differently. Grateful to everyone who gave us their time. The videos are coming soon. 💯 Alok Goel Tarkeshwar Thakur Saurav Bhagat Kirk K. David Sukhraj Praveen Rajaretnam Elise Pelechaty, CPA Martin J.
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Tarkeshwar Thakur reposted thisTarkeshwar Thakur reposted thisLive from New York. Alok just kicked off our CFO automation workshop with The F Suite. Every member brought a real task, and the goal is to leave with a complete automation they can take back to their team. We had a blast putting this together. Thanks to Anna Behymer and The F Suite for making this happen. Kirk K. Alok Goel Ananya Khare
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Tarkeshwar Thakur shared thisHot topic with finance teamsTarkeshwar Thakur shared this💫 AI spend has become an operating expense that needs ownership, forecasting, and context. A provider bill shows the total. But planning requires more context: which teams and projects are driving usage, which models are affecting cost, how token consumption is changing, and whether the investment is producing value. ✨ We’re introducing Drivetrain AI Spend Intelligence and Forecasting. It brings together: 📊 AI spend and usage analytics** see total spend, active projects, and API keys; drill into cost by provider, model, project, owner, or individual API key; track token volume and blended cost per 1,000 tokens over time. Budgeting and forecasting** — compare actual spend with budget, see a 12-month forecast, and model how usage growth, headcount growth, model mix, and spend limits change future spend. 📈 Productivity and outcome reporting** — connect AI investment to engineering activity such as Claude Code sessions, commits, and pull requests; track efficiency through cost per session or commit; and assess the business value created. The goal is to give finance the visibility to understand it, the tools to plan for it, and the business context to evaluate it. You can watch a full demo of the AI Spend Intelligence Module here: https://lnkd.in/dBWyxxjQ
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Tarkeshwar Thakur shared thisRunway + Drivetrain! The momentum is real 🏎️Tarkeshwar Thakur shared thisRunway AI is growing at an incredible pace. That kind of momentum is built across the company, with every team playing a part in what comes next. Behind that is a finance team supporting the growth across planning, forecasting, and the calls that come with scaling this fast. What used to take their team days now runs on its own with Drivetrain, freeing them up for analysis instead of pulling numbers together. Thanks to Chandni Mary M. Liu and the team at Runway for the trust. Alok Goel Saurav Bhagat Tarkeshwar Thakur Kirk K. Paaras Sharma David Sukhraj Praveen Rajaretnam Aakanksha Gupta Vanika Achreja
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Tarkeshwar Thakur reposted thisTarkeshwar Thakur reposted thisOn September 15, we're hosting a group of CFOs in LA with Lensing.ai (formerly Everest Systems) and Zenskar at BOA Steakhouse, West Hollywood. Great food aside, what I'm looking forward to is the conversation. Every CFO I talk to right now is working through some version of the same questions: how do we create lasting leverage with AI, and what will the next version of the finance function look like? If you're a finance leader in LA and want in on that conversation, there's a seat for you: luma.com/5nrmwrcs Nivas Ravichandran Ananya Khare Sandeep Chopra Alexis Dougherty Apurv Bansal Priyam Sodhiya
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Tarkeshwar Thakur shared thisBest of Summer!Tarkeshwar Thakur shared this44 badges. 6 categories. Summer 2026. 💯 G2 names Drivetrain AI a Leader and a Momentum Leader, along with Best Support, Best Meets Requirements, and Users Most Likely to Recommend. This is what happens when a product actually solves the problem it was built for, and a team that cares this much about getting FP&A right for our customers. Proud of this one. 🔥 Alok Goel Tarkeshwar Thakur Saurav Bhagat Godard Abel Paaras Sharma David Sukhraj Kirk K. Shreyans Dugar Eric Gilpin Sharath Jagadish Praveen Rajaretnam Ananya Khare David Sukhraj Kirk K. Elise Pelechaty, CPA Aakanksha Gupta
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Tarkeshwar Thakur reposted thisAs AI adoption increases, token cost is going to be a hundred times bigger mess than the SaaS spend explosion was five years ago. It's all consumption-based, and right now, most finance teams have no way to see inside it. It feels like someone handed someone a credit card, and they're out there mining bitcoins. That’s why today we launched native connectors for bringing all token cost and usage data from Anthropic and OpenAI into Drivetrain. Instead of treating AI as a black-box expense, finance teams can see exactly where spend is coming from, who is driving it, and how it compares against budgets and forecasts. If you're a CFO or finance leader struggling to track, forecast, or govern AI spend, I'd love to chat about how we can help. Feel free to reach out.Tarkeshwar Thakur reposted thisAI spending is growing rapidly — and for most companies, token costs are becoming a meaningful new category of spend. Finance leaders are increasingly being asked questions they often don't have the data to answer: Who is consuming these tokens? What are they being used for? Which teams are driving costs? And what business value is being created? Today, we're launching native connectors with Anthropic and OpenAI in Drivetrain to help answer those questions. Finance teams can bring AI usage and cost data directly into their planning environment, including token costs, API keys, usage, activity, users, workspaces, and more. The result is greater visibility into AI spend, stronger accountability across teams, and better governance as AI becomes an increasingly important business investment. To learn more about how Drivetrain can help finance teams track, forecast, and govern AI costs, read the full blog below. #FPandA #Finance #AI #Budgeting #Forecasting #OpenAI #Anthropic
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Tarkeshwar Thakur reposted thisTarkeshwar Thakur reposted thisWe're excited to welcome Ayspire to the Drivetrain partner ecosystem! 🤝 Ayspire is an enterprise solutions firm with deep roots in EPM, ERP, and finance transformation. Together, we're helping finance teams: → Create scalable financial and operational planning models → Support global, multi-entity planning and forecasting → Improve cross-functional collaboration and decision-making Roshin Rasheed, Omkar Kocharekar, Deepa PV 💫, Mohammed Dildhar, Alok Goel, Praveen Rajaretnam, Ankit Goyal, Tarkeshwar Thakur, David Sukhraj Read more → https://lnkd.in/gZ4B_h3KDrivetrain Partners with Ayspire for AI-Native Finance PlanningDrivetrain Partners with Ayspire for AI-Native Finance Planning
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Tarkeshwar Thakur shared thisExcited about the launch of Drivetrain MCP — bringing AI closer to how finance teams work every day!Tarkeshwar Thakur shared thisSuper proud to be announcing the launch of the Drivetrain MCP - the first MCP server for finance! Developers have Cursor. Sales has Clay. Finance, the most data-rich function, has lacked its AI layer, until now. Drivetrain MCP is the open standard that connects any AI model to any workflow, transforming finance into the intelligence center of business. By combining the power of LLMs with your actual financial data this opens up a whole new world of possibilities for finance. Imagine asking Claude to build your board pack and it fetches data from Drivetrain, analyzes last quarter's performance, writes a narrative, and pushes it to a Notion doc for CEO review. Or Asking LLM why your gross margin was down last quarter and it doing an in-depth root cause analysis of all your metrics, researching online for benchmarks and proven play books, and proposing an improvement plan - all in one conversation. This isn't just infrastructure; it's the start of finance's AI era.
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Tarkeshwar Thakur liked thisTarkeshwar Thakur liked thisMonk hosted a private breakfast for finance leaders with Rillet, Drivetrain, and Taxwire this week at Ned's Club Downstairs in New York. Thank you to everyone who showed up early! Looking forward to the next one.
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Tarkeshwar Thakur liked thisTarkeshwar Thakur liked thisTuesday morning at Ned's Club Downstairs in New York. 🙌 Drivetrain AI hosted a private breakfast for finance leaders with our friends at Rillet, Taxwire and Monk. Good coffee, a full breakfast, and a room full of CFOs and finance heads trading notes on what's working and what isn't. Thank you to everyone who showed up early for this one. Alok Goel Tarkeshwar Thakur Benjamin Pincus stephen hedlund Andrew Rea Max Beauroyre Laura Bassaganya Aymerich Ananya Khare Kirk K. Atul Raguveer Nadiv Rahman Kendall Warson George Kurdin
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Tarkeshwar Thakur liked thisTarkeshwar Thakur liked thisMost of my conversations with customers happen over Zoom. This time we flew out, set up cameras, and sat across the table from them. We heard how they found Drivetrain AI, what was broken before, and what changed after. Hearing it in person, in their own words, hit very differently. Grateful to everyone who gave us their time. The videos are coming soon. 💯 Alok Goel Tarkeshwar Thakur Saurav Bhagat Kirk K. David Sukhraj Praveen Rajaretnam Elise Pelechaty, CPA Martin J.
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Tarkeshwar Thakur liked thisTarkeshwar Thakur liked thisLive from New York. Alok just kicked off our CFO automation workshop with The F Suite. Every member brought a real task, and the goal is to leave with a complete automation they can take back to their team. We had a blast putting this together. Thanks to Anna Behymer and The F Suite for making this happen. Kirk K. Alok Goel Ananya Khare
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Tarkeshwar Thakur liked thisTarkeshwar Thakur liked this💫 AI spend has become an operating expense that needs ownership, forecasting, and context. A provider bill shows the total. But planning requires more context: which teams and projects are driving usage, which models are affecting cost, how token consumption is changing, and whether the investment is producing value. ✨ We’re introducing Drivetrain AI Spend Intelligence and Forecasting. It brings together: 📊 AI spend and usage analytics** see total spend, active projects, and API keys; drill into cost by provider, model, project, owner, or individual API key; track token volume and blended cost per 1,000 tokens over time. Budgeting and forecasting** — compare actual spend with budget, see a 12-month forecast, and model how usage growth, headcount growth, model mix, and spend limits change future spend. 📈 Productivity and outcome reporting** — connect AI investment to engineering activity such as Claude Code sessions, commits, and pull requests; track efficiency through cost per session or commit; and assess the business value created. The goal is to give finance the visibility to understand it, the tools to plan for it, and the business context to evaluate it. You can watch a full demo of the AI Spend Intelligence Module here: https://lnkd.in/dBWyxxjQ
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Tarkeshwar Thakur liked thisTarkeshwar Thakur liked thisSF, this one's for you. On September 24, Drivetrain and NetSuite are hosting an in-person workshop in San Francisco: getting hands-on with Claude, and working out exactly where AI fits into real finance workflows. Expect live demos of Claude workflows you can implement and a conversation with Subhash Tibrewal, CFO of Observe.AI, on what he's learned working with an AI finance stack today. Hands-on and practical, for CFOs, VPs and Heads of Finance deciding where to focus amid the AI noise. Thursday, September 24 · 4:00–6:30 PM · San Francisco RSVP NOW → luma.com/da5k5t5v Sara Frentz Gabriel Cunha Azim Ellam Ananya Khare Nivas Ravichandran
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Julien SIMON
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On February 18, during India's AI Impact Summit, a company called Sarvam shipped a 105-billion-parameter model trained from scratch in India on government-subsidized GPUs, designed for 22 Indian languages. It outperforms DeepSeek-R1 on certain benchmarks at one-sixth the size. The same summit produced $200 billion in investment pledges from Amazon, Microsoft, Google, and Reliance. The headlines were about the money. The real story was Sarvam. This post examines in detail why it took this long, what changed, and whether Sarvam is the first crack in an old equilibrium or a lonely exception. "Indians Rule Big Tech. Why Can’t India Build?": Link in comments.
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Nitin Garg
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Madhusudan Gopanna
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I asked Gemini to do a deep analysis into the economic benefit of the Verifiable Voting solution as compared to the 2024 Indian General Election. Result: Cost savings of at least ₹10,000 crore ($1.2 Billion) over 10 years. Read about it here: https://lnkd.in/evqVp34z #IndiaElections #VerifiableVoting #ElectionIntegrity #CivicTech #VoterTrust
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GAYALA KOUSHICK
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Excited to share my latest project, CartSaver AI, built for the Razorpay AI Buildathon 2026 (Track 3: AI Revenue Recovery)!! Every day, thousands of checkouts fail due to bank timeouts, card declines, or failed OTPs, leaving massive amounts of revenue on the table. While most recovery tools rely on generic, one-shot messaging, CartSaver AI is an autonomous multi-step agent that closes the loop end-to-end: score, prioritize, diagnose, escalate, stop, and log. *Key Architectural Highlights: ML Recovery & LTV Scoring: Predicts recovery likelihood via scikit-learn models and combines it with customer LTV scores so efforts target high-value customers first. *Google Gemini Diagnosis: Uses Gemini to analyze why a payment failed and dynamically draft context-specific recovery messages. *Deterministic Safety Boundary: A core philosophy of this build—AI Proposes, Deterministic Policy Decides, Bounded Simulator Executes. The LLM never decides when to stop contacting a customer; compliance-critical limits like maximum attempts and score thresholds are strictly hardcoded in plain Python. *Transparent Audit Trail: Every decision, reasoning path, and outcome is written to a full audit ledger viewable via an interactive operations dashboard. Across a 300-cart batch: ₹16.3L at risk → ₹5.36L recovered (27.33% recovery rate) — calibrated to real-world benchmarks, not an inflated demo number. Tech Stack: Python, FastAPI, Streamlit, scikit-learn, Google Gemini API, SQLite, and pytest. Explore the live project and code: 🚀 Live Streamlit Dashboard: https://lnkd.in/gCSZQSC6 🔌 Live Backend API: https://lnkd.in/gN7vYp2g 📂 GitHub Repository: https://lnkd.in/gU8PeerH Built with rigorous safety controls and a focus on measurable impact. I would love to hear your thoughts and feedback! #RazorpayAIBuildathon #AI #MachineLearning #FastAPI #Streamlit #GoogleGemini #RevenueRecovery #Python
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Aditya Arora
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