telamin.

AI-ASSISTED AUTHORING. EVIDENCE-LED CONFIDENCE.

Trust the evidence,
not the author.

AI can build it.
Your business has to trust it.

Telamin connects human-guided design, deterministic Java execution and traceable evidence. Build from existing components, run compiled software without an authoring LLM per event, and trace recorded behaviour back to your intent.

Request a walkthroughHow it works

For repeatable business processes where risk, scale and evidence matter.

People use AI to assist design, review the software, compile with Fluxtion, operate with Mongoose and investigate with the Analyser.
From authoring to evidence. One application model connects compiled execution, runtime observations and investigation. People guide intent and approve changes.

WHY NOW

AI is writing the software.
Someone still has to answer for it.

As AI helps teams move from a prototype to a business-critical process, the question changes: can we approve it, run it economically and explain its decisions?

AUTHORING

Build faster.
Review less new code.

Every piece of freshly authored integration brings more behaviour to test and maintain. Faster authoring makes reuse more valuable.

With Telamin

Reuse supported vendor and in-house components. Let Fluxtion generate their coordination, then review and test the resulting application.

Give AI less wiring to write
RUNTIME ECONOMICS

Scale the workflow,
not the model bill.

For repeatable rules, asking a model to choose each next step adds recurring inference cost and variability to the runtime.

With Telamin

Use AI to build the application. Run compiled software with explicit coordination, without an authoring-model call on every event.

Understand the running costs
ACCOUNTABILITY

Explain the decision.
Show the facts.

When a process affects money, access or operational controls, your team needs more than a plausible explanation of what happened.

With Telamin

Connect recorded inputs and decisions to application structure. Investigate in the Analyser, check a proposed fix and share the evidence.

See how investigations work

WHERE TELAMIN FITS

For processes you must repeat,
control and explain.

Repeatable processes.
Real consequences.

Rules-based approvals, eligibility checks, risk limits and operational controls. When errors carry financial or operational risk, predictable execution and an audit trail give your team something concrete to check and explain.

Control and evidence

Complex workflows
that keep evolving.

Many connected steps, dependencies and changing requirements. Reuse components, generate their coordination and investigate changes against recorded behaviour—reducing bespoke wiring and the maintenance work it creates.

Reuse and maintainability

Scale and speed
without an LLM per event.

High-volume processing and low-latency systems such as trading, pricing and real-time risk. Use AI to author the application, then execute compiled software without paying for an authoring-model call on every event.

Runtime economics

ISVs and system
integrators.

Deliver client applications with reusable integration and AI-friendly authoring tools. Carry components and delivery knowledge between projects, with inspectable software and evidence to support handover and ongoing support.

Build with us or train your team

WHY THE ARCHITECTURE MATTERS

Four products.
One idea: traceable evidence.

The hard part is preserving the relationship between the application structure, its execution and the facts used to explain it. Combining a code assistant and a log viewer does not create that relationship by itself.

Fluxtion’s patented approach generates coordination from the component relationships. Mongoose runs the application. The Analyser uses its structure to investigate recorded behaviour. Our developing Assurance layer extends that connected confidence story.

Why was this order rejected?£120 order. £100 limit. Follow the recorded decision.↗Reuse existing capabilitiesLess integration code for an LLM to invent↗Investigate, check and shareRecorded facts, AI-assisted investigation and evidence bundles↗Understand the assurance scopeWhat today’s evidence establishes; what is developing↗

WORKING TECHNOLOGY. EVIDENCE YOU CAN OPEN.

PRODUCTION

In production at a
digital-asset market maker.

Pricing, hedging, orders, risk and credit control in digital-asset markets.

Production background
PUBLISHED BENCHMARK

Within 1.32 ns
of hand-written.

Generated dispatch: 8.44 ns/event. Equivalent hand-written dispatch: 7.12 ns/event in the same ten-node fixture.

Measurement and method

Corretto JDK 21 · macOS · stream-driven clock · median of five 200M-event runs · 3 September 2026.

AI AUTHORING

Cheaper to author.

Reuse components and give the model less to write. See a component-assembly experiment, its measured results and what they mean.

Read the authoring case study

EXPLORE THE NEXT STEP

See the whole system on your workflow.

Choose one business task you need to trust. We’ll walk through the application, the recorded facts and the evidence a useful pilot should produce.

Request a walkthrough