Evertrace
"Founder detection engine" that surfaces founders and nascent teams from real-time digital signals before they announce, raise, or appear in traditional databases.
evertrace.ai ↗Pre-seed and stealth-stage founder detection and outreach.
SSO
Harmonic · Specter · Tracxn · Dealroom
Evertrace (formerly "Signal" / "Signal Analytics") is a VC sourcing platform — a "founder detection engine" that identifies founders and nascent startup teams from real-time digital signals before they announce or raise and before they appear in traditional startup databases. (This profile concerns only the Copenhagen-based AI sourcing company at evertrace.ai, not unrelated insurance, genetics, or ancestry namesakes.)
Continuous monitoring of unconventional, primary data sources to surface company-formation intent at the earliest stage. Signal categories include company-formation signals (trade/company registries, domain registrations), technical-activity signals (GitHub, patent filings, academic papers, government grant databases), app stores, co-founder searches, and social signals (e.g., X). AI founder scoring ranks signals by how closely a founder's background matches previously successful venture-backed founders, weighted by signal combination, geography, and sector. Automated sourcing workflow from first signal to first meeting: detection, scoring/filtering, background enrichment, and AI-drafted (human-approved) outreach. Delivery of high-confidence signals into investor workflows via CRM, Slack, or AI agents.
In-house ML models with weights explicitly defined by the Evertrace team (a deliberate choice to reduce reliance on opaque external-model bias) for founder scoring. Aggregates and triangulates founders across multiple public sources, timestamping records for freshness/verification. Native MCP server for querying signals, enriching profiles, and triggering outreach via AI agents; full REST API. Detection capabilities expanded via acquisitions: Whisper AI (company-registry data, strong DACH coverage, Sept 2025), Seedpoint (detection models/data infra), and Morphais (Berlin-based quantitative early-stage sourcing, Oct 2025).
Not publicly listed; sales-led. Treat any figures as estimates until confirmed with the vendor.
CRM, Slack, and AI-agent delivery of signals; native MCP server; REST API.
Emphasizes GDPR alignment and public-data-only collection. No public SOC 2 or ISO certification disclosed — appropriate diligence is warranted for firms with formal vendor-security requirements.
Founded 2024 as "Signal" by Jacob Graubæk Houlberg and Simon Bøttkjær; rebranded to Evertrace in September 2025. HQ Copenhagen (Langebrogade 6). Small team — 15 employees as of May 2026 (Tracxn) — but acquisitive (Whisper AI, Seedpoint, Morphais). Funding is modest and early: ~$600K (≈€550K) round announced April 2025 with angel/strategic investors including Christian Jantzen, Sonu Banga (Intellishore), and Eske Gunge (Actimo); total disclosed funding ~$0.6M–$1.36M depending on source. Per Evertrace, as of 2026 more than 200 VC funds use the product to detect pre-seed and stealth-stage founders worldwide, including Creandum, Atomico, Cherry Ventures, Antler, and Heartcore Capital. Treat funding specifics as approximate and time-sensitive.
Strongest fit for pre-seed and seed investors whose edge is reaching founders before competitors and before companies are visible. Less suited to growth-stage diligence, which benefits more from structured financial/market databases.
Early-stage vendor with limited public disclosure; some operational details could not be independently verified and may change quickly. No public SOC 2/ISO certification. Signal-based sourcing inherently surfaces noise — founder scoring quality and outreach guardrails are the main differentiators to test. Heavy DACH/EU data depth via Whisper AI; coverage outside Europe should be probed.