Key Takeaways
- Coreworks AI has secured $5M (≈₹46 crore) in seed funding led by Together Fund — the Bengaluru-San Francisco startup will use the capital to build out its AI SuperAnalyst and launch full product access within 8–12 weeks.
- The platform targets the analyst bottleneck: converting raw ERP, CRM, and spreadsheet data into finished, board-ready deliverables in minutes — a distinct leap beyond existing AI copilots that stop at first drafts.
- Founders Pavan Sondur and Prashant Kumar previously scaled UNBXD to a $100M exit — their direct experience working with 300+ enterprises gives Coreworks a rare edge in understanding where enterprise reporting actually breaks down.
Every Monday morning, finance teams at mid-sized Indian IT firms do the same thing: spend three to five hours manually pulling numbers out of SAP, cross-referencing CRM pipelines in Salesforce, and then stitching everything into a PowerPoint deck before the leadership stand-up. The data exists. The insight exists. What doesn’t exist — until now — is a system that closes the gap between raw data and a deliverable a CFO can present to the board without double-checking every cell.
That gap is exactly what Coreworks AI is building toward. The Bengaluru- and San Francisco-based startup has raised $5 million — approximately ₹46 crore — in a seed funding round led by Together Fund. The company is currently in beta, planning a full launch of its platform within the next 8 to 12 weeks.
The round puts Coreworks AI squarely in the middle of one of 2026’s hottest enterprise AI categories: agentic systems that don’t just assist analysts but automate the work analysts do. Agentic AI is expected to be a key driver for enterprise adoption, which is projected to account for more than half of the $126 billion AI opportunity by 2030, according to Inc42’s Bharat AI Startups Report 2026.
What Coreworks AI Actually Does
Most AI tools sold to enterprise teams today share a common limitation: they produce drafts. A summary, a chart suggestion, a half-filled template. Someone still has to verify every number, reformat the output, and sanity-check it before it goes anywhere near a decision-maker. That’s not automation. That’s autocomplete.
Coreworks AI built its platform specifically to address this challenge — not by generating drafts, but by delivering finished, verifiable outcomes that organisations can act upon with confidence.
At the center of the product is the AI SuperAnalyst. It connects to ERP systems, CRM platforms, financial models, and spreadsheets, semantically understands the data, and generates complete deliverables — spreadsheet models, written analysis, and slide presentations — directly from source data. Critically, every number in the output links back to its original data point, which means that when an executive challenges a figure mid-meeting, the team can trace it instantly.
While most systems require teams to manually update outputs when the underlying data changes, Coreworks regenerates automatically. The platform is also built with SOC 2 readiness from day one, including end-to-end encryption — a non-negotiable for the enterprise clients it’s targeting.
The use cases Coreworks has already scoped include quarterly board decks, cross-functional QBR presentations, FP&A reporting, and budget-versus-actuals summaries. These are the deliverables that consume the most analyst hours inside strategy, finance, and revenue teams — and they’re also the ones where errors carry the highest stakes.
The Founders: A $100M Exit Informs the Problem
Coreworks AI was founded in 2025 by Prashant Kumar and Pavan Sondur, who previously launched UNBXD. In 2022, Netcore Cloud acquired a majority stake in UNBXD for $100 million. UNBXD is a category leader in search for e-commerce platforms and powers almost 5% of US e-commerce search traffic.
That background matters for more than pedigree. Sondur said the team recognised the need for the solution while building UNBXD and working with more than 300 enterprises. Watching those enterprise customers spend hours reconciling data and rebuilding the same slide decks every quarter wasn’t a peripheral observation — it was a recurring pattern across industries, company sizes, and geographies.
CTO Prashant Kumar put the product philosophy precisely: “AI copilots are good at producing a first draft. But businesses don’t present drafts to their boards. They present finished deliverables they can stand behind. Coreworks is designed to close that gap, going from prompt to trusted outcome and doing it in minutes.”
The “finished deliverable” framing is what separates Coreworks from the AI co-pilot wave. The system deploys multiple specialised agents that each handle a distinct task — data retrieval, contextualisation, formatting, verification — rather than a single general model producing a best-effort response.
Why Together Fund Backed This Bet
Together Fund focuses on early-stage AI startups, typically writing initial checks of $1M–$10M at Seed and Series A, and is selective by design, making just 8–10 investments annually — part of a broader surge in AI startup funding in India that has accelerated sharply through 2026. The fund has over $200 million in assets under management and operates across Bengaluru and Silicon Valley, with a specific thesis around AI-native companies built for global markets.
For managing partner Manav Garg, the Coreworks thesis was straightforward. Garg noted: “The Coreworks team is extraordinary, with their previous success at scaling enterprise software. With this solution, they are developing a system that creates a complete, accurate, secure and trusted report that hits at all the pain points sales, executives and finance teams know all too well.”
The signal here is institutional: Together Fund is run by operators — Garg co-founded EaseBuzz and Girish Mathrubootham founded Freshworks — and they have a sharp eye for founder-market fit. Backing a team that spent 10 years inside enterprise data workflows to build a product that automates those exact workflows reflects a calculated bet, not a speculative one.
What This Means for India’s Enterprise AI Market
India’s enterprise SaaS sector has produced strong horizontal tools — CRMs, HRMs, marketing automation — but as the State of AI in India 2026 makes clear, the market has been slower to produce AI-native workflow automation at the analyst layer. Coreworks represents a specific and underserved niche: business intelligence outputs, not just BI dashboards.
Coreworks uses a combination of public LLMs including GPT, Claude, and Gemini within a multi-agent system, with different AI agents handling specialised tasks. This architecture matters because it means the company isn’t locked into any single model provider — a strategic advantage as LLM pricing and performance continue to evolve rapidly.
The platform is dual-headquartered in Bengaluru and San Francisco — the standard positioning for Indian B2B SaaS companies targeting US enterprise clients while drawing on India’s deep engineering talent pool. The early waitlist is now open at coreworks.ai, and the company expects to reach full launch by mid-2026.
For India’s IT services firms — Infosys, Wipro, HCL, and dozens of mid-market counterparts — platforms like Coreworks AI represent both a competitive threat and a potential internal tool. Analyst and reporting functions that currently absorb significant billable hours could be meaningfully compressed. The question isn’t whether this category will grow. It’s which platform earns the trust of the CFO.
FAQs
What is the Coreworks AI business analyst platform? Coreworks AI is an enterprise automation platform that converts raw data from ERPs, CRMs, and spreadsheets into finished board-ready reports and presentations using a multi-agent AI system. Unlike basic AI tools, every output metric is traceable to its original data source. The platform is currently in beta, with full launch expected in mid-2026.
Who founded Coreworks AI and what is their background? Coreworks AI was founded in 2025 by Pavan Sondur (CEO) and Prashant Kumar (CTO), the team behind UNBXD — an e-commerce search platform that was acquired by Netcore Cloud for approximately $100 million in 2022. The founders worked directly with over 300 enterprise clients, giving them a ground-level view of where data-to-report workflows break down.
How much has Coreworks AI raised and who invested? Coreworks AI raised $5 million (approximately ₹46 crore) in a seed funding round led by Together Fund, an operator-led VC firm with over $200 million in assets under management and a portfolio of 30+ AI-native companies across India and the US.
How does Coreworks AI differ from tools like Copilot or ChatGPT for business? General AI tools produce first drafts that require substantial human correction before they are enterprise-ready. Coreworks deploys multiple specialised agents that handle data retrieval, contextualisation, and formatting to produce finished, verified deliverables. Outputs auto-regenerate when source data changes, and every number links directly back to its origin system.
When will Coreworks AI be available for enterprise customers? Coreworks AI has opened an early access waitlist at coreworks.ai. A full product launch is expected within 8–12 weeks of the March 2026 funding announcement, targeting finance leaders, strategy teams, and revenue operations functions.