Adversarial diligence engine
for mid-market investors.

For the £250M–£5B AUM firm.

Your associates still read every data room. Hebbia is $25K+/yr and only covers acquire. ChatGPT Enterprise has no architecture, no audit trail, no defensible reasoning. The major sponsor-AI JV programmes aim at the portfolio companies you buy, not at the team deciding which ones.

Beyond single-deal acquisition DD, the same reasoning library runs across your portfolio. The Portfolio Diagnostic is a one-shot sweep across every active position. Per-portco DD-readiness score. Red flags ranked by how the next round's lead investor will see them. The output tells you where to push follow-on capital, where to triage, and which portcos need a Sprint before they go back to market.

Use cases: Due Diligence · Portfolio Monitoring · Credit

Fund-sized decisions on a one-person workflow.

Search funds and ETA buyers carry institutional risk on a solo-operator footprint. No screening infrastructure, no audit-ready output, no leverage when a competing bid comes in three days. The productised screening bundle was built for you first.

No tool exists for mid-market VDD prep automation.

Mid-market exits get done with mid-market consultants, slowly. McKinsey is £500K+ and six months. Your alternative is a Sell-Side Readiness sprint that surfaces every adversarial finding a buyer's diligence will surface, before the IM goes out.

Sell-Side Readiness. Run the adversarial DD a buyer would run, on your client, before they run it. Build the disclosure pack with that finding already addressed.

Structured analysis a credit committee can interrogate, and a regulator can audit.

Generic AI tools produce confident summaries that cannot be traced to source. Institutional risk dressed up as productivity. The same reasoning library that runs adversarial DD runs credit underwriting, calibrated to your committee format, with cell-level audit trail.

Use case: Credit Underwriting

Same partner network as the JVs.
Opposite ICPs.

Major sponsor-AI joint ventures embed applied AI inside Top-50 sponsor portfolio companies. Hebbia is $25K+/yr enterprise SaaS at the asset-manager top end. We sit in the mid-market gap underneath both.

	Anthropic / OpenAI JVs	Hebbia	ChatGPT Enterprise	CevantAI
Buyer	Fortune 500 PortCos	Top-50 asset managers	DIY	Mid-market investors
Pricing	$1.5–10B JV	$25K+/yr	Per-seat	Productised, per-engagement
Reasoning modes	Single	Single	Single	Three priors, tagged
Audit trail	Partial	Partial	No	Every output
Model selection	Single vendor	Single vendor	Single vendor	Vendor-neutral (Caliber)