What we do
- Knowledge agents — retrieval-augmented Q&A over your documents, policies and manuals, with answers traceable to source
- Automation agents — form entry, document review, report generation and cross-system data movement
- Data analysis agents — query business data in natural language, auto-generate charts and interpretation
- Decision support agents — combine rule engines with model reasoning, output actionable recommendations with rationale
- Multi-agent systems — specialised agents collaborating on complex end-to-end tasks
Key engineering considerations
We focus on three things: control — explicitly define the agent's permission boundary, with human confirmation for high-risk actions; traceability — log every answer and action for audit; interchangeability — decouple the model layer from the business layer so you can switch between local and cloud models.
| Capability | Description |
|---|---|
| On-premise deployment | Model and data stay inside your network |
| Permission control | Role-based limits on what data and actions an agent can access |
| Audit logging | Full records of queries, retrieved sources, tool calls and results |
| Evaluation | Benchmark sets tracking accuracy and refusal rates over time |