AI due diligence platform
for private equity deal teams

Frontier models are powerful, but they're general-purpose. Point one at a data room and you get a competent summary, not a diligence finding. Fulcra AI is built on frontier models (we're model-agnostic and constantly testing across them), but the value is the infrastructure on top: the ODD methodology senior operators actually use, the prompting and retrieval pipelines tuned for diligence-grade output, the structured findings capture, and the workflow that mirrors how top firms run a deal. The model is the engine. The diligence platform is the car.

Most AI diligence tooling organizes the documents in your data room and pulls out contract clauses. We took a different approach: we replicated the operational diligence methodology that top advisory firms charge six figures to deliver, layered AI on top to make it faster and more thorough, and made it accessible to every PE firm, not just the ones who can afford a Big 4 ODD engagement.

Complete operational due diligence. When you onboard, we configure your workstreams, standard document request list, and diligence process inside the platform, tuned to how your firm runs deals. The system comes with 10+ prebuilt workstreams across ODD: talent and workforce, financials, customer concentration, legal, IT, cybersecurity, insurance, vendors, facilities, and more.

We're model-agnostic. We continuously test prompts and pipelines across the major frontier models (Anthropic, OpenAI, Google, and others) and route each task to whichever model produces the best result for that diligence step. As frontier capability improves, Fulcra improves automatically. You're never locked into one provider's quality ceiling.

In a single-tenant environment hosted in US regions. We've built Fulcra with enterprise-grade security protocols and are actively in the process of SOC 2 certification. Documents are encrypted at rest and in transit. We operate under zero-data-retention agreements with every LLM provider in our stack: your data room contents are never used to train shared models and aren't retained by the model providers after inference.

Lower- and middle-market private equity firms running diligence in-house, or outsourcing to advisory firms and wanting faster, more accurate results at lower cost. Firms that want to surface risk flags early, move decisively on the deals that clear, and make sure nothing slips through diligence on the ones that don't.

Yes. We onboard your existing template once during setup, and Fulcra AI drafts in your format for every subsequent deal: sectioning, voice, and structure preserved.