Financial intelligence and governed action for modern finance.
FinanceGPT brings financial data, quantitative models, AI, investment intelligence, workflows, human review and controlled Financial Actions into one enterprise platform for finance teams, investment professionals, developers and governance leaders.
The transaction activity animation shows money entering operating cash, moving through treasury and governed Financial Actions, reaching configured payment, payroll, tax and investment destinations, and returning as reconciliation evidence.
Autonomous economic transactions, made possible.
FinanceGPT connects financial intelligence, workflows, policy, approvals and Financial Actions to move economic activity from decision to transaction, settlement and reconciliation.
One FinanceGPT platform. Clear entry paths for the work you do.
FinanceGPT spans finance operations, investment management, application development and enterprise governance. Start with the responsibilities closest to you; shared data, intelligence, workflow, action and evidence capabilities remain connected underneath.
Run finance with connected intelligence and controlled automation.
CFOs, finance directors, FP&A, treasury, controllers and finance operations
Explore Finance for TeamsResearch markets, construct portfolios, manage risk and move approved decisions through governed execution.
CIOs, portfolio managers, analysts, quants, risk and investment operations
Explore Investment & MarketsBuild financial applications with FinanceGPT data, intelligence, workflows and governed Financial Actions.
Developers, fintech teams, solution architects and platform engineers
Explore the Developer PlatformGovern AI, models, workflows, approvals and financial authority across the organisation.
CIO, CTO, CRO, model risk, security, compliance, audit and platform teams
Explore Enterprise GovernanceConnect financial information to decisions, controlled action and evidence.
FinanceGPT keeps financial data, calculation, AI interpretation, workflow, human authority and transaction execution as distinct but connected layers. That separation is what makes automation useful without making authority ambiguous.
Financial Data
Connected financial information, market evidence and governed source context.
Intelligence & Models
Deterministic finance, quantitative models, Native Intelligence and permitted generative AI.
Workflows & Agents
Finance-specific workflows and agents operating within explicit permissions.
Human Review & Policy
Approvals, limits, restrictions, segregation of duties and policy checks.
Financial Actions
Structured proposals that remain separate from execution authority.
Execution & Reconciliation
Authorized provider or connector submission followed by outcome reconciliation.
Evidence
Source, computation, model, action and SHA-256 provenance where available.
Authority remains explicit: Financial Actions can reach execution only where the relevant connector, policy, approval and scoped transaction authority are separately configured.
Finance does not end with an answer.
FinanceGPT can turn intelligence into a governed Financial Action: structure the proposal, apply controls, route human approval, issue scoped authority, submit through the configured provider or integration and reconcile what happened.
Prepare with evidence
Translate treasury needs, collection intent, investment decisions or other finance work into a structured proposal with source and calculation context.
Apply controls and approval
Evaluate policy, limits, risk and required human approvals without treating AI recommendations as transaction authority.
Submit and reconcile
Where separately authorized, approved actions move through configured providers or integrations and return status, outcome and reconciliation evidence.
See FinanceGPT through complete financial workflows, not a feature catalogue.
Each journey begins with a different responsibility and converges on the same evidence, workflow, governance and action foundations.
Monday morning finance review
Move from financial position and exceptions into planning, workflow and governed action.
- Review cash & liquidity
- Understand forecast variance
- Prioritise exceptions
- Prepare finance work
- Review approvals
- Reconcile outcomes
Build an evidence-backed thematic portfolio
Take an investment concept through research, construction, risk, review and controlled execution.
- Define concept
- Build universe
- Research evidence
- Construct portfolio
- Assess risk
- Govern approved action
Build a governed treasury workflow
Compose financial data, AI, workflow and Financial Actions without giving an application unbounded financial authority.
- Create sandbox app
- Call FinanceGPT APIs
- Compose workflow
- Add human review
- Propose Financial Action
- Observe evidence
Approve a new AI workflow for production
Review provider, model, workflow and financial-authority impact before production use.
- Review change
- Inspect evidence
- Check permissions
- Assess financial impact
- Approve or decline
- Monitor production state
Understand financial position, plan forward and manage the work that needs attention.
Use financial statement analysis, cash and liquidity views, forecasts, budgets, variance analysis, accounting workflows, receivables, payables and Financial Actions without losing the evidence behind the decision.
From investment concept to evidence-backed portfolio decision.
Research companies and themes, build investable universes, construct portfolios, evaluate risk and derivatives, explore generative scenarios and move approved investment decisions into controlled execution and reconciliation.
Source, as-of time and freshness remain visible for observed financial and market information.
Portfolio construction, factors, risk and valuation remain linked to explicit methods and inputs.
LQM-generated synthetic options and generative market scenarios remain distinct from observed data. Execution eligible: NO.
Use the lowest-complexity governed intelligence appropriate to the task.
FinanceGPT separates deterministic finance, local NLP and semantic intelligence, quantitative models, language generation and financial authority rather than forcing every problem through one model.
Deterministic and local-first where sufficient.
Financial calculations, rules, parsers, bounded NLP and semantic retrieval can handle suitable tasks before generative inference is needed.
Explore FinanceGPT intelligenceLQMs for numerical finance.
Deterministic, statistical, econometric, forecasting, simulation, optimization and approved learned quantitative methods with explicit inputs and evidence.
Explore LQMsQLMs for governed financial reasoning.
Combine language inference with promoted LQMs, tools, context, evidence and workflow while keeping numerical methods explicit.
Explore QLMsModel choice remains governed.
FinanceGPT Managed AI and permitted customer-managed providers operate within workspace policy, model permissions, usage controls and evidence.
Review AI governanceAutomate recurring financial work without hiding control points.
Build workflows that connect financial data, deterministic calculations, FinanceGPT intelligence, integrations and human review. Applications and agents may prepare Financial Actions, but authority remains governed separately.
Adopt AI and automation without surrendering financial control.
Govern providers, models, workflows, credentials, approvals, limits and financial authority with evidence that helps security, risk, compliance and audit teams understand what happened and who was authorized.
Build financial applications on FinanceGPT.
Use APIs, SDKs, financial intelligence, quantitative models, workflows, agents, event tooling and governed Financial Actions without rebuilding the underlying financial infrastructure.
GET /api/v2/ai/models
Authorization: Bearer $FINANCEGPT_API_KEY
Scope: ai:models:read
Know what is observed, what is calculated, what is synthetic and what was authorized.
FinanceGPT uses consistent information, freshness, action and evidence semantics so users can inspect sources, methods, model context, approvals and SHA-256 evidence where available.
Transforming Complex Financial Data into Actionable Insights with AI.
Financial data becomes more useful when source, calculation and interpretation can be reviewed together. FinanceGPT turns complex financial information into analysis, charts, forecasts, research and decision support while preserving the evidence trail.
Go deeper into financial intelligence, quantitative finance and governance.
Explore original research, product comparisons and practical tools spanning Large Quantitative Models, generative AI, evidence, governance and financial analysis.
Start with the level of FinanceGPT that fits the work.
Explore FinanceGPT free, add professional financial intelligence and workflows, or move into team, business and institutional capabilities as governance, integrations and Financial Actions requirements expand.
FinanceGPT Labs, clearly explained.
What is FinanceGPT Labs?
FinanceGPT Labs is the complete FinanceGPT financial intelligence and action platform. It combines financial analysis, investment intelligence, deterministic quantitative models, governed AI, workflows, evidence and Financial Actions for professional and institutional finance.
Who is FinanceGPT for?
FinanceGPT serves finance teams, investment and markets professionals, developers and fintechs, enterprise governance teams, advisors, accounting firms and financial institutions.
What are FinanceGPT Financial Actions?
Financial Actions carry approved finance work through policy, controls, human approval, scoped authority, provider submission and reconciliation. AI can prepare and explain an action, but execution authority remains separate.
What is the difference between Observed, Derived and Synthetic information?
Observed information comes from a source or provider. Derived information is calculated from explicit inputs and methods. FinanceGPT Synthetic information is generated for research or scenario use and remains visibly distinct from observed market data.
Can FinanceGPT connect to financial systems?
Yes. FinanceGPT includes governed integrations, APIs and developer tooling for connected financial workflows. Available integrations and execution permissions remain subject to workspace and commercial configuration.
Can FinanceGPT trade or move money?
Yes, through Financial Actions where the relevant commercial capability, connector, policy, approval and scoped execution authority are separately configured. FinanceGPT never treats analysis, AI output or a paid plan as authority to transact.
How much is Professional access?
Professional is $59 per month or $590 per year. Paid subscriptions include FinanceGPT AI Credits, with current usage and plan details shown on Pricing.
Understand the financial position. Make the decision. Govern the action. Reconcile the outcome.
Start with the finance, investment, development or governance work you already need to complete, then bring in models, workflows and Financial Actions as the required evidence and authority are established.