FINANCIAL
Governed AI at Market Speed
AI velocity that moves as fast as your markets and is trusted by compliance
Full visibility of agentic activity
Every agent runs under a managed identity, with its actions, resource usage, and token consumption monitored and attributable in real time. Nothing autonomous goes untracked.
Governed access. Zero production exposure.
Give developers governed access to compute, approved tools, and sensitive internal data to build, test, and iterate without IT tickets or touching production systems.
Approved AI for every desk
Deploy a governed internal marketplace where any team member can use approved AI apps and agents without building from scratch or waiting on IT.
Data sovereignty
Federated data management keeps sensitive financial data exactly where it needs to be. Your models, your agents, your infrastructure, your control, no data leaving your governed environment.
Compliant by design
Every model, dataset, deployment, and agent action logged automatically. Audit trails, data lineage, and RBAC run in the background, with full provenance ready for auditors and regulators on demand.
Maximize infrastructure ROI
Dynamic scheduling, GPU slicing, and smart quotas extract maximum utilization from every dollar of hardware. Token metering keeps agentic workload costs visible and under control before they scale.
Every AI dollar accounted for
The AI Engine puts every model behind one gateway, so each call and agent interaction is attributed to the team or project behind it, attributing consumption to the team or project that generated it. Administrators throttle access, enforce quotas, and shift model traffic to cheaper endpoints before costs become a budget problem. Finance gets per-project consumption data with the granularity needed for accurate chargebacks.
From cloud PoC to on-prem production
The same governed environment your teams use in the cloud runs on your own infrastructure, with self-serve compute, AI coding tools like Claude Code and Codex, and agentic workflows available in both. Environment-agnostic and silicon-agnostic, the Orchestration Engine spans bare metal, Kubernetes, and HPC without requiring a rebuild.
Purpose-built for the way financial AI actually works
Risk, fraud, and trading AI
Build and optimize AI for risk modeling, fraud detection, algorithmic trading, and customer intelligence on a platform built for the regulatory demands of financial services.
Governed agentic development
Vibe-code and deploy agents that automate financial workflows, process data, and make decisions with federated and managed identity governing every agent from the moment it goes live.
Token and cost governance
Every model call, agent interaction, and API request tracked and attributed to the team or project that generated it, giving you the granularity to budget accurately and report with confidence.
Reduce AI Compliance Risk
When developers build with ungoverned tools and personal API keys, compliance exposure follows. Klique replaces that sprawl with a governed platform where every developer, agent, and model call operates under managed identity and observable policy. Teams get the self-serve access they want. Compliance gets the audit trail it requires: built in, not bolted on.
Always be Audit-ready
The Klique Governance Engine logs every model iteration, dataset version, deployment decision, and agent action with full provenance, and token consumption is tracked and attributable across every team and project. When your next exam or regulator request lands, the record is already assembled, not scrambled together after the ask.
Klique is trusted by global banks, insurance carriers, asset managers, fintech, and government financial institutions worldwide.
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