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Inscribe
AI-powered Risk Intelligence platform and agentic document fraud detection platform for financial services, serving banks, fintechs, lenders, and credit unions.
- Founded
- 2017
- Headquarters
- San Francisco, CA, USA
- Company size
- Not disclosed
- Products tracked
- 3
Products by Inscribe
Rankings
Appears in these rankings
Customer voice
Customer testimonials
Quotes published on Inscribe's official website.
Before Inscribe, it was tough to catch every altered document just by looking at it. Fraudsters are getting smarter, and we needed something that could see what we couldn’t.
Some of our largest dollar preventions have come directly from Inscribe detections. We’re talking $80 million in losses prevented.
Inscribe has become a key component in our fraud ecosystem. The cost-benefit is clear.
Customer outcomes
Case studies
Selected customer stories from Inscribe.
Camino Financial saves 30 minutes on every application and $60K for every fraud case prevented
Read case studyBluevine saved $150K in fraud losses and enhanced the customer experience
Read case studyAmount reduced fraud and Increased operational efficiency after transforming their document reviews
Read case studyPricing for Inscribe
Contact sales
Contact Inscribe for current plans, volume pricing, and enterprise terms.
Trust profile
Security and compliance
SOC 2 Type II
ISO/IEC 27001
Unique production database authentication enforced
Encryption key access restricted
Unique account authentication enforced
Data encryption utilized
Penetration testing performed
Asset disposal procedures utilized
Production inventory maintained
Portable media encrypted
Continuity and Disaster Recovery plans established
Continuity and disaster recovery plans tested
Cybersecurity insurance maintained
Customer data deleted upon leaving
Data classification policy established
Latest updates from Inscribe
New feature
Inscribe Launches Agentic AI Fraud Detection System on Amazon Bedrock
Inscribe has launched an agentic AI system for document fraud detection, built on Amazon Bedrock. The system utilizes multiple foundation models, including Anthropic Claude and Meta Llama, to automate document parsing, complex reasoning, and multi-step verification. The solution enables automated cross-document analysis, which has resulted in detection times of under 90 seconds. Inscribe reports that this capability maintains regulatory compliance while identifying sophisticated fraud attempts such as AI-generated forgeries and deepfakes across its client base of financial institutions.
CustomerBHG FinancialCustomerLogix Federal Credit UnionCustomerBCUPartnerAWSPartnerAnthropicPartnerMeta
