AI Engineering for Regulated Finance
FinanceGPT Labs helps banks, insurers, fintechs, lenders, payment companies, asset managers and enterprise finance teams turn AI pilots into secure, auditable automation systems.
Not generic AI consulting. Regulated AI systems that can go to production.
Financial institutions do not need more AI demos. They need secure workflows, governance, privacy, evaluation, human review, audit trails and production engineering that survives regulated environments.
Buy a single finance task when you need it. No subscription required.
Build a working AI automation prototype around one high-value workflow.
Deploy AI safely across local, VPC, browser-side or hybrid data boundaries.
Monitor, evaluate and improve AI systems after deployment.
Engineer the AI systems financial institutions actually need.
FinanceGPT Labs focuses on the highest-value AI problems in regulated finance: governance, fraud, compliance, customer operations, document intelligence, private AI and legacy workflow automation.
Request a Labs sprintAI governance and model risk
Use-case inventory, risk classification, controls, approval flows, evaluation and audit evidence.
Fraud, AML and financial crime
Alert triage, anomaly review, investigator copilots and evidence-backed escalation workflows.
Compliance automation
Regulatory change monitoring, policy review, evidence collection and compliance reporting.
Document AI systems
KYC packs, claims files, credit memos, statements, contracts, policies and audit evidence.
Productionization
Integrations, monitoring, human-in-the-loop controls, fallbacks, QA and operational support.
Productized AI engineering for immediate revenue and faster enterprise adoption.
Start with a fixed-scope sprint, convert successful prototypes into production builds, then retain Labs for ongoing AI operations.
From $7,500
Map safe, valuable AI use cases and produce a deployment roadmap.
- Use-case inventory
- Governance gaps
- 90-day roadmap
From $15,000
Build a working AI prototype for one financial-services workflow.
- Secure data flow
- Evaluation report
- Leadership demo
From $50,000
Deploy private, governed AI into sensitive finance environments.
- Local / VPC / hybrid
- Access controls
- Audit trails
From $75,000
Turn a validated prototype into a monitored production AI system.
- Integrations
- Monitoring
- Handover
AI systems that respect financial-services data boundaries.
FinanceGPT Labs designs browser-local, VPC, private cloud and hybrid AI deployments so sensitive financial, customer, transaction, claims, KYC and portfolio data stays inside controlled environments.
Connect the systems where finance work already happens.
Uploading files is only the start. FinanceGPT is designed to become the data hub for accounting, banking, ERP, payment, spreadsheet, warehouse, and secure file-transfer workflows.
Connector onboarding
Authorize, test connection, choose data scope, run first sync, and map accounts into FinanceGPT.
Data readiness
See which tasks are ready, what data is missing, and which mappings need review.
Lock-in through workflow
Connected data becomes recurring reporting, forecasting, reconciliation, controls, and audit history.
Built for finance professionals, not finance tourists.
Fractional CFOs
Automate monthly client packs, cash forecasts, and advisory commentary.
Accounting firms
Scale advisory reporting across client workspaces and pooled credits.
SME finance teams
Close faster, forecast earlier, and catch exceptions before month-end.
Investment teams
Use sovereign AI for research and paid automation for structured deal outputs.
The familiar FinanceGPT tool experience remains — now free and sovereign.
Keep the legacy use-guide experience for finance and investment analysis, but move it into the free local generative AI layer. Paid revenue comes from task execution, automation, wallet credits, data integrations, teams, and pilots.
View use guideFinanceGPT is being prepared for Microsoft Marketplace transactability.
Direct customers can use Stripe for subscriptions, wallet credits and pay-once finance work. Microsoft Marketplace customers will activate FinanceGPT through Microsoft SaaS fulfillment, with Microsoft-managed billing and FinanceGPT-managed onboarding, task runs, reports and automation.
Direct subscriptions
Stripe-backed plans, wallet top-ups and one-time task checkout for customers buying directly from FinanceGPT.
Microsoft Marketplace
Marketplace activation, SaaS subscription mapping, Microsoft webhook readiness and plan-to-entitlement mapping for Azure procurement.
Easy cancellation
Customers can manage or cancel recurring direct subscriptions through FinanceGPT billing, reducing billing confusion and Stripe dispute risk.
Tell us the AI system you need to build.
FinanceGPT Labs will recommend the right sprint: readiness, governance, prototype, private AI deployment, production build or AI operations retainer.
Best-fit buyers
Banks, insurers, fintechs, payment companies, lenders, asset managers, RegTechs and enterprise finance transformation teams.
Funding and Partnership Ecosystem
FinanceGPT Labs (formerly IPOXCap AI) is supported by and has a strong finance, tech and data science ecosystem.
Assess one AI opportunity. Prototype it. Productionize what works.
FinanceGPT Labs gives financial institutions a practical path from AI ambition to governed, secure, production-grade automation.
FinanceGPT's financial analysis software and AI financial tools suite and agents accelerate financial data analytics, investment portfolio optimization, financial workflow automation and adoption of generative AI for finance. FinanceGPT Labs has been working on and deploying Large Quantitative Models (LQMs) as a distinct category, particularly within the generative Al space for quantitative finance, built as a hybrid with Hot Desk Imputation, KNN Imputation, VAEGAN and GPT/FinBert since August 2022. A whitepaper that introduced and created the Large Quantitative Models category of generative AI authored by Phiwa Nkambule was publicly released on 9 December 2023. FinanceGPT is now focused on Zero Inference AI, focused on being privacy first and being accessible with or without internet access.