Inscribe

Name: Inscribe
Brand: Inscribe

Catch forged and deepfake documents that manual reviews and legacy systems miss with Agentic AI.

Est 2017|Valuation $115M|Raised $49.2M|19 Ref Customers

LinkedIn 6K|Web traffic 51K|FTEs 43|HQ San Francisco, California, US

MarketsFraud Detection

01Competitive Landscape

Narrative analysis

- Inscribe vs. Ocrolus: Ocrolus has established workflows in lender document automation and provides explicit scoring and signal visualization primitives. Ocrolus documentation includes guidance on setting expectations for false positives and manual review. Inscribe emphasizes broader document coverage and a multi-agent explainable approach; buyers should evaluate whether breadth and explanation quality deliver better operational outcomes than Ocrolus's lender-focused depth for the specific documents processed. - Inscribe vs. Alloy: Alloy is positioned as an identity and fraud orchestration layer with many data partners, while Inscribe is more specialized on document tamper detection. If the primary problem is manipulated bank statements or pay stubs, a document-focused vendor may be more direct; if the problem is end-to-end onboarding risk decisions across many signals, an orchestration vendor may be preferable. - Inscribe vs. Socure: Socure focuses on identity graph and cross-channel identity risk. If fraud primarily stems from document manipulation in income or asset documents, identity-centric vendors may be less directly relevant; if synthetic identity or cross-channel identity risk is the primary concern, identity-centric vendors may be more appropriate.

Adoption trends / market signal

The vendor has published statements about document volume and customer adoption. Press coverage confirms multiple funding rounds and reported staff reductions, indicating the company has experienced market pressures common among fintech infrastructure vendors.

	Inscribe (B2B – inscribe.ai)	Ocrolus	Alloy
Starting Price	Not publicly listed; third-party benchmark suggests a directional five-figure annual level (directional)	Not publicly listed; trial options exist for limited pages	Not publicly listed; enterprise contracts typically custom
Primary Fit	Document-centric fraud detection and explainable AI agent outputs for risk teams	Lenders needing high-volume financial document automation, fraud signals, and scoring	Institutions needing orchestration across identity, fraud, and compliance workflows
Key Strength	Layered detection approach combining forensic, semantic, perceptual, and network signals; API-first model	Lender-focused document processing, explicit scoring constructs, and document automation depth	Broad orchestration and integration ecosystem with multiple data partners
Key Weakness	Limited public third-party reviews identified in this research session; public enterprise feature and security documentation were not clearly available in primary sources reviewed; recent reported operational changes introduce perceived stability risk	May require manual review for flagged items and supports a specified set of document types	May be larger and more complex than document-focused needs require

01Competitive Landscape

Narrative analysis

Inscribe vs. Ocrolus: Ocrolus has established workflows in lender document automation and provides explicit scoring and signal visualization primitives. Ocrolus documentation includes guidance on setting expectations for false positives and manual review. Inscribe emphasizes broader document coverage and a multi-agent explainable approach; buyers should evaluate whether breadth and explanation quality deliver better operational outcomes than Ocrolus's lender-focused depth for the specific documents processed.
Inscribe vs. Alloy: Alloy is positioned as an identity and fraud orchestration layer with many data partners, while Inscribe is more specialized on document tamper detection. If the primary problem is manipulated bank statements or pay stubs, a document-focused vendor may be more direct; if the problem is end-to-end onboarding risk decisions across many signals, an orchestration vendor may be preferable.
Inscribe vs. Socure: Socure focuses on identity graph and cross-channel identity risk. If fraud primarily stems from document manipulation in income or asset documents, identity-centric vendors may be less directly relevant; if synthetic identity or cross-channel identity risk is the primary concern, identity-centric vendors may be more appropriate.

Adoption trends / market signal

The vendor has published statements about document volume and customer adoption. Press coverage confirms multiple funding rounds and reported staff reductions, indicating the company has experienced market pressures common among fintech infrastructure vendors.

	Inscribe (B2B – inscribe.ai)	Ocrolus	Alloy
Starting Price	Not publicly listed; third-party benchmark suggests a directional five-figure annual level (directional)	Not publicly listed; trial options exist for limited pages	Not publicly listed; enterprise contracts typically custom
Primary Fit	Document-centric fraud detection and explainable AI agent outputs for risk teams	Lenders needing high-volume financial document automation, fraud signals, and scoring	Institutions needing orchestration across identity, fraud, and compliance workflows
Key Strength	Layered detection approach combining forensic, semantic, perceptual, and network signals; API-first model	Lender-focused document processing, explicit scoring constructs, and document automation depth	Broad orchestration and integration ecosystem with multiple data partners
Key Weakness	Limited public third-party reviews identified in this research session; public enterprise feature and security documentation were not clearly available in primary sources reviewed; recent reported operational changes introduce perceived stability risk	May require manual review for flagged items and supports a specified set of document types	May be larger and more complex than document-focused needs require