Compare · SecureLend vs Hebbia
SecureLend vs Hebbia
Hebbia and SecureLend solve different jobs. Hebbia is an AI research platform: ask hard questions across large document sets and get sourced answers fast. SecureLend is the AI underwriter: it turns those same documents into a decision-of-record — a cited memo, a financial spread, a risk score, and an audit trail your committee and examiner can inspect. Hebbia gives you answers; SecureLend delivers the underwritten decision.
Where Hebbia is strong
Hebbia is genuinely strong at retrieval and research over huge, messy document sets — surfacing answers across thousands of pages is exactly what it's built for. We think that's a different job from underwriting — here's the difference.
SecureLend vs Hebbia, side by side
| SecureLend | Hebbia | |
|---|---|---|
| Primary output | A decision-ready artifact: underwriting/credit/IC memo, financial spread, risk score, audit trail | Answers and analysis retrieved across document sets |
| Specialization | Underwriting-specialized: domain math (DSCR/LTV/DTI, burn/runway/ARR, loss ratios) | General finance knowledge-work and research |
| Decision of record | Yes — a cited, editable memo + approve/decline reasoning your examiner can inspect | Not the job — produces answers, not a governed decision artifact |
| Governance | Human-in-the-loop sign-off, SOC 2 Type II, versioned policies, evidence packs | Research workspace; governance sits with the analyst using it |
| Best fit | Taking a deal from intake to an underwritten decision | Deep research and Q&A across large document corpora |
Choose Hebbia when…
Choose Hebbia when the job is research: you need to interrogate large document sets and get sourced answers, and a human will decide what to do with them.
Choose SecureLend when…
Choose SecureLend when the job is a decision: you need the analyst work done and a governed, cited memo of record — not just answers, but an underwritten decision with an audit trail.
Frequently asked questions
Is SecureLend a Hebbia alternative?
They overlap on reading documents but do different jobs. Hebbia is an AI research platform that returns sourced answers across large document sets. SecureLend is an AI underwriter that produces a decision-of-record — a cited memo, a financial spread, a risk score, and an audit trail. If you need underwritten decisions rather than research answers, SecureLend is the fit.
Does SecureLend do document research like Hebbia?
SecureLend reads and extracts from documents as part of underwriting, but its output is a decision artifact, not a research answer. It spreads the financials, applies your rubric, and drafts a cited memo with human sign-off.
What does SecureLend produce that a research tool doesn't?
A governed decision of record: a cited, editable underwriting/credit/IC memo, a financial spread, a risk score, and an audit trail your committee and examiner can inspect.
SecureLend is the AI underwriter: it reads the file, spreads the financials, applies your rubric, and drafts a cited, decision-ready memo with an audit trail — the work an analyst would produce, with a human in control.