An always-on search that continuously scans for companies matching your criteria. Describe what you're looking for and it starts matching immediately — new finds appear automatically as the database grows.

How often is new data added?

Every 6 hours. IntelPilot continuously discovers and enriches companies from across the web. Your radars re-evaluate after every scan, so new matches appear automatically.

Can I get email notifications for new matches?

Yes. Each radar has configurable email alerts: on every update, daily digest, weekly digest, or off. New matches arrive straight in your inbox.

What's included in the free plan?

Up to 2 radars (1 active, 15-day lifespan), full company browsing, detailed profiles, revenue and funding data, and the cluster visualization.

What does Pro unlock?

Unlimited permanent radars, company-aware matching with personalized reasoning, email notifications, and priority access to new features. $9.99/month, cancel anytime.

Where does the data come from?

IntelPilot searches across the web, then runs each company through AI classification, enrichment, and deep research to surface verified revenue, funding, team size, tech stack, and more.

PriorLabs

AI InfrastructureVerified95% conf

Foundation model for tabular data classification and regression tasks

priorlabs.ai ↗

📍 Freiburg im Breisgau, Germany

Verified Data

💰

Est. Revenue<$1M ARR

“Based on early-stage startup status (founded 2024), €9M seed funding, and 32 employees. Typical early-stage B2B SaaS companies with this profile generate <$1M ARR before significant scale.”

🚀

Funding€9M seed from Balderton Capital and XTX Ventures, plus €1B acquisition by SAP

🔗eu-startups.com↗

📊

Monthly Traffic10K - 50K visits/month

“Estimated 10K - 50K visits (SimilarWeb/Competitor comparison)”

👥

Users7K+ GitHub stars, 3.2M+ PyPI downloads

🔗github.com↗

🧑‍💻

Team Size32 employees

“grew team from 3 to 16+ in 7 months (now ~32)”

📈

GrowthScaled model capacity from 10K to 10M rows in 2025

“Scaled model capacity from 10K to 10M rows in 2025; grew team from 3 to 16+ in 7 months (now ~32)”

🏷️

StageAcquired by SAP (May 2026)

📅

Founded2024

Company Profile

ModelB2B SaaS Open-Core

VerticalFinance, Healthcare, Industrials, Energy, Tech, Academic Research

ClientsHitachi, NHS, BostonGene, OxCan, Taktile, Exito, European Commission, Hopper, AARSC

BuyersData Scientists, Machine Learning Engineers, and Enterprise Analytics teams in regulated and data-intensive industries

PricingTabPFN OSS (Free non-commercial), TabPFN Enterprise (Available on request), Inference API (Usage-based)

Contact

✉️ [email protected] LinkedIn

@prior_labs

Strategic Analysis

Strategy

Open-core business model with free TabPFN for non-commercial use to drive adoption, monetizing through enterprise platform for fine-tuning and large data processing. Targeting regulated industries like finance and healthcare where tabular data is critical. Land-and-expand within data science teams at large enterprises.

Tactics

Open-sourced TabPFN model to build developer community and drive organic adoption. Heavy focus on academic research partnerships and publications to establish credibility. Direct enterprise sales for custom implementations and large-scale deployments. GitHub and PyPI as primary distribution channels.

Competitive Positioning

Differentiates by focusing specifically on tabular data foundation models versus general-purpose ML platforms. Competes with traditional AutoML solutions like H2O.ai and DataRobot by offering pre-trained models that require minimal data preparation. Positioned as the specialized choice for tabular data versus broader AI platforms.

Marketing Approach

Developer-first growth through open-source TabPFN model and GitHub presence. Academic research publications and conference presentations to build credibility. Direct enterprise outreach to data science teams in target verticals. Community building through Discord and technical content marketing.