Inscribe
AI document fraud detection software for financial services
By Inscribe · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Banks, credit unions, lenders and fintechs screening income, identity and financial documents for fraud
- Fraud, risk and operations teams whose manual document review no longer scales
- Underwriting, account opening (KYC/KYB) and bank account verification workflows
- Organizations hit by deepfake, template-farmed or AI-generated document fraud
- Teams that need plain-language, audit-ready findings for exams and compliance reviews
Ideal size: 50-1,000 people · Regulated financial institution with a document-heavy review process
Not for
- Non-financial businesses whose onboarding does not hinge on document verification
- Buyers who need public, self-serve pricing or a free tier
- Companies unwilling to share a document sample for a pilot evaluation
- Very small teams reviewing only a handful of documents a month
- Organizations looking for a full case-management or KYC orchestration suite
Value metrics scorecard
Time-to-Value
Under 2 weeks; 4-week pilot offered
~14 days to first production value
Total Cost of Ownership
On request
Custom quote based on document volume and features; two standard plans (Base, Premium) plus enterprise quotes
Implementation Friction
1/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
No published seat tiers; priced on document volume
Add-on costs
- None
Company & support
Who is behind Inscribe, and how your team gets help once it is live.
Company
- Founded
- 2017 · 9 yrs in business
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
The site links a public Documentation portal and Trust Center; no support email, phone line or support hours are published. Dedicated support for enterprise security reviews is mentioned.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Inscribe sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.
Companies on the chart 6 / 10
- Inscribe
- Red Oak
- Astrix Security
- Middesk
- Napier AI
- Cypago
Add or change companies
Up to 10 companies including Inscribe. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Inscribe ships in AI, and what it asks of your ecosystem.
AI features shipped
Sources describe an agentic detection platform: AI agents run layered checks on every document and across an application, and an Assistant explains findings and answers follow-up questions. No vendor statement was found on model key ownership, per-action AI audit logging, or customer data training.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Anthropic
- AI pricing
- Included in the plan
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Inscribe is an AI document fraud detection platform for banks, credit unions, lenders and fintechs. It layers forensic, network, semantic and perceptual signals with agentic reasoning to catch forged, altered and AI-generated bank statements, pay stubs and tax forms. Customers report around 90% fewer manual document reviews and sub-90-second document checks. Pricing is a volume-based custom quote across Base and Premium plans, with a complimentary pilot.
Frequently asked questions
How is Inscribe priced?
Pricing is a custom quote based on document volume and the plan you choose. Two standard plans are published: Base (fraud detection, document analysis, risk assessment and scoring, decisioning, API, web app and SSO) and Premium (advanced analysis, credit insights, custom insights, document collection, advanced decisioning). Book a demo for a quote specific to your volume.
How long does implementation take?
Inscribe states most teams are live within days, not months, connecting via API, web app, its Collect document collection portal, or a partner integration. It says there are no long procurement timelines or professional services requirements.
Is there a pilot or free trial before we commit?
Yes. Inscribe offers a four-week pilot using your own document sample, covering pilot planning, document analysis, live user testing and a business case and ROI review. The site also mentions a complimentary document fraud audit.
What document types and fraud can it detect?
Bank statements, pay stubs, W-2s and tax forms, invoices, utility bills, business filings and more. It targets altered or fabricated documents, deepfakes, AI-generated documents, template-farmed fakes and documents reused across applications, using forensic, network, semantic and perceptual checks plus cross-document reasoning.
What results do customers report?
The vendor cites BCU preventing $80M in losses, Logix FCU $3M in eight months, Kinecta $850K with 99% less review time, and Camino Financial saving $60K per prevented fraud case. Inscribe says most teams see measurable ROI within their first month.
Does it replace our fraud team?
No. Inscribe positions itself as making investigators faster by handling repetitive document checks, so people focus on complex cases. Findings arrive with a risk level and plain-language evidence.