Put AI to work on financial
services’ hardest problems.
AI can help financial institutions make better decisions, reduce manual work, and improve customer experiences. Openlayer helps teams test it, monitor it, and keep it under control in production.
See it in action
81%
of surveyed financial services firms are adopting AI
Source: 2026 Global AI in Financial Services Report (Cambridge)
70%
of surveyed financial services firms identify hallucinations and unreliable outputs as a leading AI risk
Source: 2026 Global AI in Financial Services Report (Cambridge)
52%
of surveyed firms report only a partial understanding of the AI technologies they use
Source: 2026 Global AI in Financial Services Report (Cambridge)
Financial institutions need to move faster without adding risk.
AI can accelerate decisions, focus teams on the activity that matters most, and help institutions serve more customers without adding more manual work.
Critical decisions still depend on manual review.
Credit, onboarding, and risk teams spend too much time gathering documents, reconciling data, and reviewing routine cases before they can act.
Fraud and AML teams are overwhelmed by noisy alerts.
Financial-crime systems generate large volumes of false positives while new fraud patterns emerge quickly. Investigators need better prioritization, context, and speed.
Customer service cannot scale with complexity.
Customers expect fast, accurate answers across products and channels, but many questions still require manual research or specialist review.
AI can now take on the work slowing financial services down.
It can interpret complex documents, search policies, identify patterns, and support multi-step work across credit, fraud, operations, and service. Financial institutions can shorten turnaround times, focus specialists on higher-value cases, and respond to customers faster.
Moving these systems into high-impact workflows requires more than a successful pilot. Teams need to know how every version performs before release and after it reaches production.
Move financial AI into
production with control
Openlayer connects pre-release testing, production monitoring, safeguards, and evidence. AI teams can improve systems faster, while model risk and compliance teams can see what changed, how it performed, and which controls were applied.
Faster credit and underwriting.
Test decision quality, explanations, and performance across customer groups. Monitor changes to models, data, and decision thresholds over time.
Focused fraud and AML investigations.
Measure false positives and false negatives, trace agent decisions, and use production outcomes to improve detection.
Customer service that scales.
Evaluate accuracy, required disclosures, policy adherence, and sensitive-data handling across complete conversations.
Faster document processing.
Test extraction and classification accuracy, and confirm outputs match applications, statements, and transaction records.
More reliable advisor and employee copilots.
Check responses against approved policies and sources. Trace what information was used and control sensitive outputs.
Consistent third-party oversight.
Test provider updates against consistent standards and retain a performance history for every model version.
Trusted by regulated leaders: Sun Life and Gallagher (insurance); Rogers, KPN, and Comcast (telecom and media).
Backed by Y Combinator and Race Capital. SOC 2 Type II.
Founded by ex-Apple/Siri ML engineers.
Air-gapped and private-VPC deployment for sensitive financial data.
Named in the 2026 Gartner Market Guide for AI Evaluation and Observability Platforms.
