Eilla AI

Eilla AI is a London-based generative AI platform built exclusively for VC, PE, and M&A deal teams. It deploys named AI Analysts (e.g., 'Sophia' for company research) that execute structured investment tasks — researching companies, mapping markets, identifying comps, and generating one-pagers — by pulling from integrated third-party data sources and uploaded internal files. Positioned as a junior analyst replacement for the most repetitive, data-heavy tasks in the deal workflow.

AI Analysts that execute discrete investment tasks: company deep-dives, competitor identification, SWOT analyses, public and private comps identification with valuation driver analysis, buyer list generation, and market mapping. Covers 8M+ companies. Users submit structured research requests; outputs are formatted reports ready for use in decks or models. Supports internal document upload so AI outputs incorporate proprietary firm data alongside external sources. Platform includes 100+ AI tools, a Chrome extension for in-browser writing, and collaborative team features.

Core product is AI-native: a network of generative AI models selects relevant sources, aggregates data, cross-references for consistency, and outputs structured, finance-formatted reports. Pulls directly from Capital IQ, Crunchbase, LinkedIn, and RocketReach without requiring users to hold separate licenses. Supports upload of internal files (pitch decks, notes, memos) to personalize and contextualize outputs. No public REST API available as of mid-2025 per multiple third-party software directories. No MCP server found — Eilla does not currently expose an MCP endpoint, limiting integration into external AI agent workflows.

7-day free trial, no credit card required. Limited plan reportedly $78/month (discounted from $98) per user: 40 research requests, full AI tool access, data provider integrations, internal file upload. Standard plan reportedly $238/month (discounted from $298) per user: unlimited research requests, all Limited features. Enterprise: custom pricing, unlimited users and seats, deep integrations, white-glove onboarding. Pricing sourced from third-party review sites as of early 2026; confirm directly with vendor.

Native data integrations with Capital IQ, Crunchbase, LinkedIn, and RocketReach — bundled into the platform without requiring users to hold separate data licenses. Chrome extension for in-browser content generation. No public REST API and no MCP server currently available, meaning Eilla cannot be embedded into external AI pipelines or orchestration layers. Integration breadth is narrow beyond the core data source bundle.

Platform includes data anonymization, audit logs, multi-factor authentication, and secure AI model infrastructure per PitchBook's product description. Automatically masks sensitive information in AI chat. London-based (UK/EU jurisdiction). SOC 2, ISO 27001, and GDPR certification status not publicly confirmed on a dedicated trust/security page — not publicly disclosed. Firms should request security documentation directly before onboarding deal-sensitive data.

Founded 2022, headquartered in London, UK (registered as Eilla AI Ltd). Co-founders: Nikola Lazarov (CEO) — Cambridge Master's in AI, former hedge fund quant; Petar Petrov (CCO) — prior growth lead at B2B SaaS company Vita Mojo; Nikolay Babulkov (CTO) — AI/ML engineer with NLP publications at ACL and CLEF conferences. Additional co-founders Filip Siderov (software architect) and Nikolay Papazov (CFO) joined later. Raised $1.5M Seed in November 2023 led by Eleven Ventures, with participation from Fuel Ventures and angel Mark Pearson; PitchBook records total funding at $2.06M including Bulgarian Angels Club and Bulgarian Expansion Bridge. Approximately 9 employees as of early 2026. Reported user base from 50+ M&A banks and VC/PE funds. Featured in Sifted, Business Insider, Fortune, and The Information.

Moderate. The platform is explicitly built for VC, PE, and M&A workflows, making it one of the most purpose-fit tools in this category for tasks like deal research, market mapping, comps, and buyer identification. For a firm, it is most useful for accelerating analyst-level research on prospective portfolio companies across a firm's deep-tech verticals. However, the absence of a public API and MCP server is a meaningful limitation for a firm building AI-native workflows — Eilla cannot currently be wired into external agents or orchestration pipelines. The seed-stage scale (9 employees, $2M raised) also raises questions about enterprise reliability, security certification maturity, and roadmap velocity relative to better-funded competitors. Best evaluated as a point solution for deal research acceleration rather than a foundational platform component.

No public API and no MCP server — cannot be integrated into AI agent workflows or external orchestration tools, a significant gap for an AI-native firm. Security certifications (SOC 2, ISO 27001) not publicly confirmed, which may create friction in enterprise procurement. Very early-stage company (~9 employees, ~$2M raised) with limited track record for enterprise-grade reliability and support. Research request caps on entry-tier plans constrain high-volume usage. Integration ecosystem is narrow beyond the bundled Capital IQ/Crunchbase/LinkedIn data layer. No CRM or deal pipeline functionality — output must be exported manually into other systems.