AI Agent Development for Brokers, Exchanges & Fintech
We design, build, and deploy production-grade AI agents for regulated trading environments. Automate explanations, triage operations, and streamline client communications.
Try the AI Playground
Intelligent Automation for Financial Operations
If you'd like a feel for the kinds of workflows we can automate and explain, try our AI Playground—a set of simple demos to spark ideas and discuss what would work in your stack.
Our AI agents integrate seamlessly with your existing trading infrastructure, providing intelligent automation while maintaining the strict controls and audit trails required in regulated environments.
Where Agents Help First
Explain rejections, halts, settlements, and margin calls with linked evidence — immediate, accurate responses with full context and supporting documentation.
Offload first-line triage and repetitive checks while keeping humans in the loop for approvals. Reduce operational overhead without compromising control.
Pull context from FIX/OMS/EMS, risk, back office, ISO 20022, and logs — no swivel-chairing. Seamless data integration across all systems.
Plain-language summaries with references to underlying events. Standardized communication that maintains accuracy across all interactions.
24/7 response with controlled escalation. Continuous availability ensures client needs are met regardless of time zone or market hours.
Demos You Can Click Through
Our playground includes interactive demonstrations of common financial workflows that AI agents can automate:
- Order Rejection Triage – "Why was Order #… rejected?" → Agent correlates FIX, price bands, and risk; drafts a client note.
- Margin Call Explainer – "Why did account … get a call?" → SPAN/VaR logic, thresholds crossed, suggested actions.
- Payment/ISO 20022 Status – "Did our pacs.009 settle?" → Checks recent camt events and gateway logs.
- Trading Halt Check – Venue/instrument state, circuit breakers, restart timing and client messaging.
- Crypto Withdrawal Queue – Wallet queue, chain conditions, risk flags; proposes fee bump under policy.
(These are illustrative—your production agent will use your data, rules, and permissions.)
How We Take You to Production
Our structured approach ensures successful deployment of AI agents in your regulated environment:
1
Discovery
Use-cases, systems, policies, success metrics.
2
Design
Agent roles, tool permissions, data contracts, guardrails.
3
Pilot
Connect to a limited dataset; measure value and safety.
4
Hardening
Security reviews, observability, failover, SLOs.
5
Roll-out
Targeted desks/teams; training and runbooks.
Built for Regulated, Low-Latency Environments
RBAC, allow-listed tools, PII redaction, human-in-the-loop approvals. Multi-layer security ensures agents operate strictly within defined boundaries.
Retrieval from systems of record with citations. Every response includes verifiable sources and audit trails for complete regulatory transparency.
Full audit trail of prompts, retrieved data, actions, and outcomes. Comprehensive monitoring and logging built for regulatory compliance.
VPC/on-prem options; model choice per use-case; data residency aligned to compliance requirements. Deploy where your data needs to stay.