Your business has its own logic.
Your software should too.

We engineer policy, claims, collections and reporting platforms for insurance, lending and complex operations.

Custom software. Connected systems. Applied AI.

Complexity,
given structure.

Products, rules, integrations and exceptions. We turn the moving parts of your operation into systems with clear boundaries, dependable data and room to evolve.

Every connection has a purpose.

Intelligence,
inside the workflow.

Extract information. Check it against approved knowledge. Route the exception to a person. Applied AI becomes useful when it connects to the work around it.

A clear decision. A traceable path.

Now follow
the logic.

Follow a claim through three scenarios. See AI read the evidence, rules guide the decision and people resolve uncertainty.

Step inside the engineering

Explore the
engineering.

One claim. Different paths. AI reads the evidence. Rules and people guide the decision.

Animated demonstration · Synthetic data

Straight-through

AI extracts the evidence. A complete claim passes validation and policy rules before a decision is recorded.

Claim intakeReceive
AI analysisRead evidence
ValidationCheck evidence
Policy rulesEvaluate
Human reviewApply judgement
DecisionResolve
Audit trailRecord
AI-assisted claim workflow Scenario route
Illustrative claim workflow

Every decision leaves a trace.

Follow AI-prepared evidence through validation, policy rules and a recorded decision.

Event trace DEMO-1042

  1. 01claim.receivedIntake
  2. 02evidence.extractedAI analysis
  3. 03evidence.checkedValidation
  4. 04rules.evaluatedPolicy rules
  5. 05decision.recordedDecision
  6. 06audit.appendedAudit trail
Straight-through
AI extracts facts and source references from complete documents. Validation and policy rules check the evidence before the decision and audit record are created.
Missing information
AI prepares the available evidence. Validation identifies a missing document, requests it and records the request. The claim does not proceed to a decision.
Human review
AI flags uncertain evidence. A review rule sends the claim to a person to check the source documents. Their judgement is recorded with the decision.

Built with technology your team can maintain.

Our principal stack is .NET, Azure and SQL Server. Around it we add the web, mobile, data and integration technology that fits the system—and the team who will inherit it.

Useful work, inside dependable controls.

Document intelligence, approved knowledge, exception triage and decision support. Each one wired into your permissions, your audit trail and a person who can overrule it.

Explore applied AI

Architecture, migration and operation belong together.

Boundaries, data models, cutover and observability are designed with the platform. Leaving them until after launch adds risk and rework.

Explore our engineering approach

Senior engineers remain involved.

The people who establish the architecture remain involved through delivery, production and ongoing change. The same context informs later changes.

  1. 01 / ESTABLISH

    Establish what must improve

    Map the users, products, rules and exceptions—then the data and integrations underneath them.

  2. 02 / DESIGN

    Design the system and migration

    Define architecture, data, contracts, delivery sequence and principal risks.

  3. 03 / DELIVER

    Deliver working increments

    Validate against real users, representative data and operational workflows.

  4. 04 / OPERATE

    Operate and extend

    Release, migrate, support and evolve as products and priorities change.

Tell us which system is holding the business back.

From assessment, architecture and migration through build, cutover and long-term operation. Bring what you have—a formal brief can come later.

Talk to us