InscribeSummer 2018Active☆Watch⊞Compare

Inscribe is one of 1063 Fintech companies tracked from San Francisco, CA, USA, on record since 2018. By capital raised it ranks mid-pack (ahead of 66% of sector peers), and mid-pack by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

AI Document Fraud Detection for Banks, Credit Unions & Lenders

Inscribe is AI-powered document fraud detection software for banks, credit unions, and lenders. It detects forged, fabricated, and AI-generated financial documents (including deepfake bank statements, manipulated pay stubs, and synthetic tax forms) in seconds, giving risk teams the clarity they need to stop fraud without slowing approvals. Inscribe created the document fraud detection category and has been purpose-built for financial institutions since 2017. Our agentic AI is trained on millions of real-world applications and strengthened by in-house data scientists and fraud experts. According to Inscribe's 2026 State of Document Fraud Report, 1 in 16 documents show signs of fraud — with AI-generated document fraud growing 5x from April to December 2025. Customers include BCU ($5.6M in prevented fraud losses), Logix Federal Credit Union ($3M in losses prevented in 8 months), and Ramp (30-minute reduction in application processing). Inscribe is SOC 2 Type II and ISO 27001 certified, and is backed by Threshold Ventures, Uncork Capital, Y Combinator, Crosslink Capital, and Foundry.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 1063 companies in Fintech. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 66% of sector peers (real $). Modeled value above 66% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Inscribe is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Inscribe sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Inscribe, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.