AI for investment and data operations, built by someone who has kept them running.
We have run market-data and data-platform systems inside investment firms, and built quantitative strategies on the other side of the desk. We know what reliable means when the market opens, and we build AI to that standard.
Where the hours go in capital markets
Data operations
Quality, control and complianceInstrument onboarding, data quality monitoring, vendor reconciliation, exception triage.
Research & analysis
Decision supportDocument ingestion, first-draft analysis, monitoring of filings and news for named exposures.
Middle & back office
Internal operationsTrade support queries, confirmations, reconciliation breaks, client reporting.
Compliance & surveillance
Quality, control and complianceCommunications and trade surveillance review; regulatory response drafting.
Client servicing
Document-heavy operationsInvestor queries, onboarding documents, reporting requests.
Things we plan for from the diagnostic, not the go-live.
- Latency, correctness and auditability are non-negotiable; an AI system is held to the same standard as any production pipeline.
- Data is expensive and licensed; systems must respect entitlements and cost.
- Firms are small and technical. We work alongside your engineers, not around them.
Our first engagements are in progress. We publish results only with the client's name and permission.
Not in capital markets? Most of these workflows have a twin in your industry. See the problems we take on
Bring us the workflow that costs you the most.
Tell us what it is, who does it today, and roughly how many hours it takes. We'll come back within a week with a view on whether AI changes it, and how we'd prove it.