Specter

A real-time private-market intelligence platform built specifically for VC, PE, and growth-equity investors. Founded 2020 by Dominik Vacikar (ex-Hummingbird Ventures) and Marco Squarci (CEO), operating as Specter Labs OÜ in Tallinn, Estonia with a London presence. Aggregates and continuously updates data on private companies, founders, talent movements, funding transactions, and investor activity, then layers proprietary AI signals on top to identify emerging opportunities before they surface in traditional deal flow.

Search across 50M+ companies, 500M+ people, 300K+ investors, and 1M+ transactions. Core modules: Company database (250+ data points per company including headcount trends, web traffic, social growth, revenue signals); People database (founders, operators, decision-makers with verified career history and contact info); Talent Signals (new stealth founders, high-signal job changes, unicorn alumni going independent — refreshed weekly); Investor Signals (real-time tracker of which investors are engaging which companies); Transaction feed (funding rounds, M&A, IPOs); Revenue Signals (live revenue and profitability extracted from news, social, podcasts, and filings); Saved Searches with automated alerts. Team network layer syncs LinkedIn, Gmail, Outlook, and calendar across the firm, maps warm-intro paths, and alerts on contact career moves.

AI is core, not a bolt-on. Proprietary signal scoring identifies companies likely to raise or re-rate in valuation. Revenue signals are AI- and human-verified from 60,000+ sources; investor-interest signals are AI-analyzed from social and pre-news activity. REST API exposes all datasets through a single unified endpoint with 250+ company data points, 60+ people data points, reverse email lookup, entity resolution from unstructured text, competitor mapping, and programmatic saved-search management. Official MCP server (live June 2026) plugs Specter's full dataset into Claude, ChatGPT, Gemini, and Cursor via a Settings > MCP flow that takes under five minutes to configure; 14 investment-workflow-specific tools covering company snapshots, pitch deck analysis, outbound drafting, saved-search automation, and competitive mapping — designed around actual VC workflows rather than generic API exposure.

Not publicly disclosed; quote-based following a demo. Reported total funding of $12.5M suggests a growth-stage SaaS pricing model, likely in the $10K–$50K+ annual range per firm depending on team size and API access tier. Contact via tryspecter.com/contact for a demo and trial.

Native: LinkedIn (network sync), Gmail, Outlook, calendar (contact enrichment and network mapping), Chrome extension (browse-in-context company and people data). API: full REST API with API-key auth for CRM enrichment, internal tooling, and custom sourcing workflows. MCP: official server integrating with Claude, ChatGPT, Gemini, Cursor. No native CRM push integrations (Salesforce, HubSpot, Affinity) listed publicly — CRM enrichment is API-driven. Specter Monitor is a weekly investor newsletter surfacing platform signals to subscribers.

Not publicly disclosed in detail. No public trust page, SOC 2 attestation, or ISO 27001 certification found. Legal entity registered in Estonia (EU jurisdiction) implies GDPR applicability. Data flowing through Specter is primarily public-market data (company profiles, funding events, talent moves, investor activity) — not firm-confidential data — which limits the compliance risk surface. API-key authentication only; enterprise SSO/SAML not confirmed. Firms with strict security procurement requirements should request a security questionnaire directly.

Founded 2020 by Dominik Vacikar (Co-Founder, ex-Associate at Hummingbird Ventures) and Marco Squarci (Co-Founder and CEO). Legal entity Specter Labs OÜ, registered in Tallinn, Estonia; operational presence in London, UK. Team size approximately 11–50 employees. Total funding reported at $12.5M across multiple rounds (seed through early growth); specific investors and round dates not publicly disclosed. Self-reported user base of 10,000+ VC and PE investors across 300+ investment firms. Notable customers include 212 Ventures, Picus Capital, and Essence VC (per published case studies).

Strong fit for the investment-firm use case — every feature maps to a stage in the VC/GE sourcing and qualification workflow. Sector-agnostic coverage of 50M companies with real-time signal layers lets analysts run continuous market maps and identify pre-announcement companies in niche verticals, including advanced-technology sectors (quantum, defense, space, semiconductors, energy, autonomy). The talent signal layer (stealth founders, unicorn alumni, senior hires) is particularly high-value for spotting companies before they fundraise. The MCP server is a direct fit for AI-native firm strategy — analysts can query Specter's full dataset from within Claude or Cursor without switching tabs. The investor signal layer enables competitive awareness: tracking which other growth-equity firms are engaging specific companies before a round closes. Founder Vacikar's VC background (Hummingbird Ventures) means the product is designed by practitioners, not generalist data engineers.

Security and compliance documentation is not publicly available — firms with formal vendor review processes will need to run a full security questionnaire. Pricing is opaque; no self-serve tier. Native CRM push integrations are absent; CRM enrichment requires API work or manual export. Coverage depth on highly specialized deep-tech verticals (e.g., quantum hardware, defense-specific contractors) may lag broader consumer/SaaS startup coverage. Company size (11–50 employees) means product velocity and support SLAs may be constrained compared to Crunchbase or PitchBook. Funding history and investor names are not disclosed, making long-term viability and strategic alignment harder to assess. SSO/SAML support for enterprise access control not confirmed.