AI built to run
in production.
Agents, copilots and knowledge systems, engineered with the evaluation, guardrails and monitoring that keep them working after launch.
Six things
we build.
Each one is a working system, not a demo: connected to your data, tested against real cases and handed over with the tooling to run it.
What we do
- Task planning
- Tool and API use
- Multi-step workflows
- Memory
- Guardrails
- Human approval steps
What you get
- Production agent
- Agent monitoring and evals
What we do
- In-app assistants
- Chat interfaces
- Context from your data
- Role-based access
- Microsoft 365, Slack and CRM plug-ins
What you get
- Team copilot
- Customer-facing assistant
What we do
- RAG pipelines
- Vector search
- Document ingestion
- Cited answers
- Access control
What you get
- Knowledge assistant
- Searchable knowledge base
What we do
- Document extraction
- Classification and routing
- Workflow orchestration
- Human-in-the-loop review
- ERP and CRM connectors
What you get
- Automated workflow
- Exception dashboard
What we do
- Forecasting
- Anomaly detection
- Recommendations
- Scoring models
- Dashboards
What you get
- Predictive models
- Decision dashboards
What we do
- Fine-tuning
- Custom ML models
- Evaluation
- MLOps
- Private and on-prem deployment
What you get
- Custom model in production
- Evaluation and monitoring pipeline
Have an AI idea
worth building?
Tell us what it should do. We’ll tell you what it takes to put it in production.
Start a conversation