From raw market data
to evidence you can act on.
Intlix joins market feeds, internal systems and research workflows so analysts and control teams reach judgment faster — with permissions, sources and review authority visible at every step.
How we create value
Industry context changes the engineering.
The operating friction
Research, client and surveillance teams pull from market feeds, internal systems, filings and alerts before analysis can even start. The bottleneck is assembling context, not access to another model.
We use that friction to define the context, integration and controls the engineering has to solve — rather than handing over a generic list of use cases.
How Intlix intervenes
Engineer backward from the outcome.
Start from the decision
Map the workflow, the people in it, the systems it touches, and the measure it is judged on.
Assemble the context
Connect the data, documents and systems that decision actually depends on.
Put intelligence in the path
Apply models, agents and automation where they improve the call — not wherever they fit.
Run it in the open
Keep human authority, evaluation, observability and running cost visible after go-live.
The operating journey
Six steps, one accountable chain.
Ingest
Market and enterprise sources
Structure
Entities, evidence and relationships
Analyze
Research and monitoring intelligence
Review
Analyst and control-owner authority
Act
Client, operations or filing workflow
Trace
Sources, policy and economics
What we build
Four engineering motions.
One operating outcome.
Modernize market and enterprise data
Pipelines, lakehouse architecture, entity resolution and access controls.
Research starts from current, trusted evidence.
Engineer research and monitoring intelligence
Summarization, retrieval, anomaly detection and analyst assistance.
Teams spend less time gathering and more time interpreting.
Integrate authorized workflows
Research, client operations, surveillance and compliance processes.
Assistance reaches the workflow without bypassing controls.
Operate with traceability
Evaluation, permissions, model lifecycle and observability.
Any output can be reconstructed when scrutiny is highest.
Let's talk about your capital markets workflows.
Bring us the decision that is slow, manual or hard to defend. We will map what it would take to engineer it properly.
Start the conversationSector questions
What capital markets teams
ask us first.
Can your systems meet our latency requirements?
It depends on the workload, and we will be specific rather than optimistic. Pre-trade risk and surveillance have very different budgets, and we measure against yours before committing to an architecture.
How do you handle market data licensing?
Entitlement is designed into the platform — what each user and system may access, and what may be redistributed or persisted, enforced technically rather than by policy document.
What about surveillance and best execution evidence?
Both depend on a complete, immutable record of what was known at decision time. We treat that record as the primary requirement rather than a reporting by-product.
Do you work with our existing OMS or EMS?
Yes. We integrate with what you run; replacing order management to enable an analytics or AI use case is almost never the proportionate path.
How do you test changes safely?
Against recorded market conditions, including the stressed days that expose assumptions. Anything that touches order flow gets a staged rollout with a tested way back.