Underwriting automation, robust workflows, and governed data—designed to operate reliably in production and integrate into existing systems.
Enterprise teams don't need another AI feature. They need an integrated system that captures financial data accurately, routes it through real workflows, and makes it usable everywhere it needs to go.
Purpose-built extraction tuned for underwriting use cases, balanced for accuracy, speed, and reviewer ergonomics. Reviewers can see exactly what was captured and why, with clear traceability back to source documents.
Create and maintain workflows that adapt as your needs change: new fields, new schemas, new regions, new policies. Versioning keeps changes controlled, auditable, and easy to roll out across teams.
Structured outputs designed for downstream use: across analysts, internal tools, AI agents, and existing enterprise platforms. Your data remains portable, accessible, and easy to integrate.
Reliability, governance, and adoption matter as much as model performance. We've refined our platform to deliver AI capabilities that work for underwriting:
Enterprise decisions require confidence across teams.
We understand the messy reality of financial analysis: complex categorisation, multi-entity structures, spreading, and portfolio monitoring. Our system is built for the edge cases that matter when risk is real.
Clear UX, strong reviewer ergonomics, and the primitives product teams need: citations, auditability, feedback loops, and embeddability.
We build durable, ergonomic SDKs and modern APIs. Designed to run reliably inside enterprise environments, including strict security and on-prem constraints and ready to modernise legacy and core systems.
Our platform is built on deep technical capability in making AI work in production at scale: evaluation frameworks, data science, research, and rigorous iteration. We continuously test what's achievable today and operationalize it safely for enterprise use.
In plain terms: evaluation + controls that prevent hallucinations from reaching reviewers.
Custom extraction and analytics layers specifically designed for financial underwriting topologies.
Built-in evaluation loops that self-heal, validate and correct before they reach the reviewer.
We provide the security, governance, and control primitives expected by Tier 1 financial institutions.
Role-based access and review controls
Full audit trail: what was extracted, who approved, and when
Cloud, private cloud, or on-prem options
Enterprise SLAs and 24/7 priority support
Full SSO and SCIM provisioning support
SOC 2 Type II underway; controls tracked via Vanta Trust Center
UK/EU data residency options with configurable retention
GDPR-ready: data export, deletion, access controls, and processing records
Designed to fit into your existing stack, not replace it.
RESTful APIs with webhook events for real-time updates. Push extracted data into your LOS, CRM, or data warehouse.
Drop our review UI directly into your lending portal. White-label ready with your branding.
Deploy into your VPC or on-prem for Tier 1 requirements. Full control over data residency.
We'll show you how embedded AI can capture and govern financial data inside your existing process, without sacrificing reliability or control.