SPECIALIST MODELS

Intelligence for
your kind of work.

Train a model around the decisions, data formats and quality standards that matter to your company. Start with one workflow worth improving.

THE SHAPE OF YOUR ADVANTAGETrained around your domain.
02 / SPECIALIST MODELSBuilt for the work that matters.

Make your expertise
repeatable.

Start with a valuable workflow.
Train for the decisions inside it.

Discuss your workflow
RISK SPECIALISTILLUSTRATIVE DEMO
THE TASK

Review this transaction against our risk policy. Explain the signals and recommend a next step.

finetuned output✓

Recommendation: escalate for review.

New device, unusual transfer pattern, and a mismatch with verified account history.

Risk policy §4.2Account historyHuman review required
WHAT WE WOULD MEASURE
Detection F1False-positive rateRecall by cohortp95 latency

Train on expert-reviewed decisions and verified outcomes. Evaluate precision, recall and escalation quality.

Explore your use case
THE TRAINING APPROACHChoose the method that fits the evidence.

Your workflow shapes
the training.

We select the model and approach against your task, data rights, deployment needs and evaluation results.

01 / FINE-TUNING

Teach your standard
of a good answer.

Train on approved examples of your formats, reasoning patterns, tool choices and decisions. Your experts define the behavior to learn.

02 / WORKFLOW DISTILLATION

Put specialist capability
in a smaller model.

Use verified expert trajectories and approved teacher-model outputs to build a compact task specialist. Validate what it learns on held-out work.

03 / REWARD OPTIMIZATION

Optimize for a result
you can score.

Where a reliable reward is available, use preference or reinforcement learning to improve task behavior. Human review and separate evaluations remain part of the process.

DOMAIN-READY PREPARATIONTurn source records into training material.

Bring the knowledge.
We’ll structure the learning.

Data mappings, fixed schemas and expert review make the pipeline repeatable. Synthetic fixtures support preparation and testing; real-world evaluation remains essential.

Example scoping matrix — inputs and measures are selected for each engagement.
WorkflowPotential approved inputsUseful pilot measures
Risk & financeVerified outcomes, reviewed decisions, transaction telemetry, synthetic KYC-style fixturesDetection F1, false positives, recall by cohort, p95 latency
Legal & documentsPermitted documents, reviewed extractions, evidence rules, target schemasCitation precision, extraction correctness, schema validity, cost per accepted cell
Trading & executionMarket-depth and execution logs, market snapshots, approved order telemetrySlippage prediction error, calibration, p95 latency, drift by market condition
Operations & supportSOPs, approved tool traces, resolved tickets, expert correctionsWorkflow completion, policy adherence, escalation quality, cost per resolution
ONE WORKFLOW IS A GOOD START.

Find your
specialist model.

Tell us the task, the data and the result you need.

Build your model