
o11
The AI Platform for Capital Market Firms
About
o11 brings bulge bracket level speed and output quality to capital markets firms of any size. Seamlessly integrated into every Microsoft 365 tool, it transforms your documents and models into a dynamic knowledge layer that drives research, modeling, and client ready deliverables with consistent precision.
Founders
AI Research Report
Problem & Solution
Problem & Solution Report
Problem
- Capital‑markets teams (investment banks, advisory firms, PE/VC) must produce high‑quality pitch decks, financial models, and deal materials under tight deadlines.
- Workflows are fragmented across Excel, PowerPoint, data‑room platforms, and research databases, leading to constant context‑switching, version‑control issues, and manual formatting effort.
- Deliverables must meet “bulge‑bracket” quality, yet many firms lack the headcount or tooling to sustain that pace.
Solution
- o11 delivers an AI platform embedded directly into Microsoft 365 (Excel and PowerPoint add‑ins) with single‑sign‑on access to data rooms.
- The platform automates the generation of pitch decks, Confidential Information Memorandums (CIMs), and financial models in minutes, while a human‑in‑the‑loop layer ensures compliance and oversight.
- Its proprietary data‑room AI can ingest large deal rooms quickly, surface relevant documents, and assist analysts with Q&A and research tasks.
Value Proposition
- Speed: Reduces the creation cycle from weeks to days, enabling faster deal execution.
- Consistency: Enforces brand and methodology standards across all outputs.
- Scalability: Allows smaller firms to produce bulge‑bracket‑level materials without proportional hiring.
- Security & Compliance: Leverages Microsoft 365 enterprise controls and SSO, meeting stringent financial‑industry requirements.
Approach
- The solution is built as a suite of add‑ins that work within familiar Office tools, minimizing change‑management friction.
- AI models handle document synthesis, data extraction, and template‑driven model building, while analysts retain final approval authority.
- Integration with data‑room APIs provides seamless access to deal data, enabling end‑to‑end workflow automation.
If the problem or solution information were unavailable, the report would indicate that the problem/solution report is unavailable.
Market & Competitors
Market & Competitors Report
Market Overview
- o11 sits at the convergence of Virtual Data Rooms, Microsoft 365 productivity automation, and AI‑driven workflow software for capital‑markets teams.
- The VDR market is projected at US$2.83 B in 2025 (CAGR 22.2% to 2030), reflecting growing M&A activity and the need for secure, collaborative deal rooms.
- AI adoption in capital‑markets software is a multi‑billion‑dollar segment, with increasing demand for NLP, document automation, and knowledge‑layer tools.
- Target audience: investment banks, advisory firms, private‑equity and venture‑capital groups that rely heavily on Excel, PowerPoint, and data‑room workflows.
Key Competitors
- Virtual Data Room Providers: SS&C Intralinks, Datasite, DealRoom, iDeals, FirmRoom. They offer secure data‑room platforms but generally lack deep Microsoft 365 AI integration.
- Office 365 Add‑in / Automation Tools: Macabacus (80k+ finance professionals, 3k+ enterprises), UpSlide (20k IB users, 98 % retention), think‑cell (trusted by >35,000 companies). These focus on formatting and charting, whereas o11 adds AI‑driven content generation and data‑room analysis.
- Deal & Relationship Management: Intapp DealCloud provides CRM and pipeline management with AI summaries, overlapping with o11’s knowledge‑layer ambitions but positioned more as a CRM than a document‑creation engine.
- Research & Data Platforms: FactSet, S&P Capital IQ, PitchBook, AlphaSense supply market data; they are data sources rather than workflow automation tools, yet they compete for analyst attention.
Competitive Positioning
- Differentiation: o11 uniquely combines AI‑powered generation with native Microsoft 365 add‑ins and real‑time data‑room AI, offering an end‑to‑end solution that reduces tool sprawl.
- Advantages: Minimal workflow disruption, human‑in‑the‑loop control for compliance, and deep integration with the tools analysts already use.
- Risks: Dependence on the Microsoft ecosystem, entrenched incumbents in each sub‑segment, and the need to demonstrate consistent bulge‑bracket quality across diverse firm methodologies.
If market or competitor data were unavailable, the report would state that the market and competitors report is unavailable.
Total Addressable Market
Quantitative TAM Report
Scope
- o11 targets AI‑enabled workflow automation for capital‑markets teams, intersecting the Virtual Data Room (VDR) market and the AI‑in‑Capital‑Markets software market.
Market Benchmarks
- Virtual Data Rooms: Grand View Research projects the VDR market at US$2.83 B in 2025, expanding to US$7.73 B by 2030 (CAGR 22.2%).
- AI in Capital Markets: Consa Insights estimates a US$6.5 B market in 2024, growing at 8.2% CAGR to US$13.5 B by 2033.
- Broader AI Software: ABI Research values the global AI software market at US$174.1 B in 2025, providing a ceiling for enterprise AI spend.
- Investment Banking Revenue: Statista reports US$395.8 B in 2025, indicating the overall fee pool from which software budgets are derived.
Methodology & Blended TAM
- Assume o11 can capture 20‑30 % of the AI‑in‑Capital‑Markets segment that pertains to workflow, modeling, and document generation (≈ US$1.3‑2.0 B).
- Add the full VDR market size (US$2.83 B) as directly addressable.
- Resulting 2025 TAM: US$4.1‑4.8 B.
- Applying VDR CAGR (22.2%) and AI spend growth (8‑10 %) projects a 2028‑2030 TAM of roughly US$8‑10 B.
Scale Indicators
- Intralinks reports 10,000+ M&A deals and 6.6 M+ users.
- Macabacus cites 80k+ finance professionals and 3k+ enterprises; UpSlide notes 20k investment‑banking users with 98 % retention.
- These adoption figures reinforce a multi‑billion‑dollar addressable buyer base for o11.
If any data were missing, the report would state that the quantitative and TAM report is unavailable.
Founder Analysis
Founders and Background
Aryah Oztanir – Co‑Founder & CEO
- Education: Morehead‑Cain Scholar, attended UNC Kenan‑Flagler Business School.
- Prior experience: Founded era0.com, citysprout.org, and klubspace.com. Led software engineering and AI initiatives at UNC and the Baltimore Department of Public Works.
- Current role: Leads o11, focusing on product vision and go‑to‑market strategy. Backed by Y Combinator and LeapYear.
Ajay Misra – Co‑Founder & CTO
- Education: Technical background with extensive AI research experience.
- Prior experience: Worked at Mayo Clinic’s AI Lab, Cal AI, built a sneaker bot and AI CAPTCHA solver, founded a blockchain‑based fraud‑detection company, and created AI voice annotation models for hospitals. Previously led AI at a calorie‑tracking startup.
- Current role: Heads engineering and AI development at o11, bringing deep expertise in machine‑learning and healthcare AI.
Additional Team Members
- Sandith Ganhewage and Sina Dehghani are listed on the o11 team page as founding team members, contributing to product development and operations.
Company Formation & Funding
- Founded in 2025 in San Francisco (Y Combinator Winter 2026 batch).
- Backed by Y Combinator and LeapYear, with a disclosed $500 K accelerator/seed round (PitchBook).
- Public signals of support also appear in o11 blog announcements.
If any of the above details are unavailable, the report would note that the information is unavailable.
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