Octrace.ai

Temporal intelligence infrastructure that predicts B2B buying urgency 6-18 months before traditional intent signals appear.
About

Octrace is a temporal intelligence infrastructure for B2B sales agents. While traditional sales intelligence platforms track intent signals reactively, Octrace predicts buying urgency 6-18 months before opportunities become visible to competitors.

They combine regulatory signal monitoring, historical pattern analysis, and custom AI models trained on each customer's CRM data to identify "micropivoting opportunities" – moments when companies face structural changes that create urgent buying windows.

Their hero case: When automotive suppliers faced extinction due to regulatory shifts, they identified that shipping and military sectors were experiencing similar compliance pressure 6 months earlier. They helped clients pivot their entire go-to-market strategy, capturing new markets while 50% of their competitors went bankrupt.

Octrace doesn't compete with databases like Apollo or ZoomInfo. They layer on top of them as the intelligence engine that tells AI SDR platforms and sales teams who to target and when. Their customers use them to transform spray-and-pray outbound into precision targeting based on temporal market patterns.

Built API-first for the AI agent era. Monitoring 50M+ companies with expansion to US markets.

About the Tech

They're building the first temporal knowledge graph for B2B sales.

Instead of "Company X visited your pricing page" (reactive), they predict "Company X will need your product in Q2 2026 because of regulatory patterns we're seeing today" (predictive).

The technical innovation is in three layers:

Signal combination engine: They don't just track hiring or funding – they correlate 40+ early indicators (regulatory filings, supply chain changes, cap table evolution, tech stack shifts) to identify patterns.

Custom model training: They analyze each customer's won deals to understand their unique buyer patterns, then monitor 50M companies for those same temporal signatures.

Regulatory data moat: Exclusive access to European business registries and compliance databases that update before public sources.

The result: Sales teams stop chasing cold leads and start engaging buyers at the exact moment they're entering a buying window, but before competitors know the opportunity exists.

"Octrace showed us a $20M opportunity in shipping 8 months before we would have found it ourselves. That single deal paid for 5 years of their platform." - Head of Sales, Austrian Automotive Supplier

About the Team

They combine rare domain expertise: predictive modeling (ML engineering background), European regulatory data access (finance/compliance background), and practical B2B sales experience.

Viktoria's unique path from founding a finance company at 17 to working at a €9B investment firm gave her unusual insight into how regulatory changes create market opportunities before they're obvious.

The team obsesses over prediction accuracy – they don't ship a signal unless they can backtest it with >60% accuracy on historical deals.

This technical rigor, combined with deep empathy for sales teams who are drowning in bad leads, makes them different from both ML engineers who don't understand GTM and sales ops people who don't understand models.

Article
Opens External Link
From Spray-and-Pray to Predictive Sales ft. Viktoria Izdebska (Founder, Octrace)
by
Hyperengage

More from EWOR

Our TeamOur Fellows