The AI operating system for private capital - turning a firm's own memos, emails and past deals into instantly searchable intelligence.
Private capital is one of the most data-intensive corners of finance. It is also, oddly, one of the least searchable. Capsa AI is trying to close that gap.
Every private equity firm sits on a mountain of its own history: due-diligence memos, investment-committee notes, thousands of emails, CRM entries and files scattered across drives. Most of it is written down. Almost none of it is easy to find. When a new deal lands on the desk, the insight that would sharpen the decision is often buried in a five-year-old document nobody can locate.
Capsa AI, founded in London in 2023 by Danyal Ozduzenciler and Callum Downie, builds what it calls an AI operating system for private capital. The platform indexes a firm's internal sources - memos, conversations, decisions - alongside third-party data such as FactSet, then layers agentic AI on top so that decades of institutional knowledge become searchable, in some cases for the first time.
The pitch is not "a chatbot for finance." It is infrastructure that sits across the whole fund lifecycle: sourcing, due diligence, portfolio monitoring and back-office operations. The promise investors report back is simple - moving faster, with more conviction, and spotting patterns across their own knowledge base that they could not see before.
Crucially, every answer carries full source traceability: an insight links back to the original document it came from. In a regulated industry where a wrong number can cost real money, that auditability is as much a feature as the speed.
By Capsa's own framing, private capital manages more than $15 trillion in assets - yet a large share of the work still happens in spreadsheets and inboxes. The company estimates the industry loses roughly $35 billion a year to the sheer inefficiency of people searching for information they already own.
That is the wedge. Not replacing judgment, but removing the manual, low-skill grind - the hunting through folders, the re-reading of old memos - that stands between a dealmaker and a decision.
Indexes internal deal data - memos, emails, CRM notes, file storage - and third-party feeds like FactSet into one unified, searchable analytics layer for the whole firm.
Agentic AI across sourcing, due diligence and portfolio monitoring, surfacing patterns from past deals with every insight traceable back to its source document.
Firm-specific workflows with single-tenant, VPC or on-prem hosting. SOC 2 Type II certified, GDPR and DORA-ready - and it never trains on client data.
In plain terms: an analyst can ask what the firm concluded about a sector three deals ago and get an answer with receipts; a partner can watch a portfolio company's signals without a manual report; an operations team can lean on the same index instead of re-keying data. The through-line is workflow depth - Capsa's defensibility comes from being woven into how a firm actually works, not from owning a model.
Capsa follows the vertical-AI playbook that Harvey and Legora ran in legal - deep in one industry's workflow. Its alternatives sit in a few camps:
The business model is straightforward B2B enterprise SaaS: recurring subscriptions, secure deployment options, and - unusually for the category - a 100% renewal rate with net retention above 122%.
Before Capsa, CEO Danyal Ozduzenciler took part in more than 50 due-diligence processes at AEA Investors, Citi and Deutsche Bank. That is the origin story: he built the tool he wished he'd had when he was the one hunting through folders at midnight.
Co-founder Callum Downie rounds out a small, execution-focused team of around 17, split across London and a New York presence. The expertise is a deliberate blend - people who have lived inside private-equity workflows paired with engineers who can index millions of internal sources without breaking a firm's security posture.
Co-Founder & CEO · ex-AEA Investors, Citi, Deutsche Bank · 50+ diligence processes.
Co-Founder · co-built Capsa AI in London in 2023.
| Round | Amount | Date | Lead / Notable investors |
|---|---|---|---|
| Seed | £1.7M (~$2.2M) | Aug 2024 | Outward VC (lead), Cornerstone VC, Antler |
| Series A | $18M | Jun 2026 | TX Ventures & Pivot Investment Partners (co-lead), Bek Ventures, Antler, Outward VC, Cornerstone VC, Paul Forster (Indeed co-founder) |
Every existing institutional investor reinvested in the Series A - a quiet signal that the early backers liked what they saw. Total funding stands at about $20M.
Danyal Ozduzenciler and Callum Downie start the company in London to build AI for private capital.
Eight months after founding, Capsa raises seed funding led by Outward VC.
Reaches production deployments at major private capital firms, with SOC 2 Type II and secure single-tenant hosting.
TX Ventures and Pivot Investment Partners co-lead the round; total funding reaches about $20M.
It provides an AI operating system for private capital firms, indexing their internal and third-party data and applying agentic AI to speed up sourcing, due diligence, portfolio monitoring and back-office work.
It was founded in 2023 by Danyal Ozduzenciler (Co-Founder & CEO) and Callum Downie (Co-Founder), and is based in London with a New York presence.
About $20M total, including an $18M Series A in June 2026 co-led by TX Ventures and Pivot Investment Partners, plus an earlier £1.7M seed round.
Private equity and private credit firms - including customers collectively managing more than $60 billion across the UK, Europe and the US.
Yes - it is SOC 2 Type II certified, GDPR and DORA-ready, offers single-tenant/VPC/on-prem deployment, and does not train on client data.