Capabilities
Six things we build, each delivered with evaluation sets, monitoring and an operating model your team can run.
What we build
Six capabilities, delivered as working systems rather than slide decks. Each one ships with evaluation sets, monitoring and a clear operating model.
Agentic workflows
Multi-step agents that plan, call tools, read your systems and complete tasks end-to-end — with approval gates where the risk warrants it.
Document intelligence
Turn forms, contracts, claims packs, lab reports and invoices into reviewed, structured data with field-level confidence and audit trails.
Enterprise knowledge & RAG
Grounded answers over policies, manuals and case history — hybrid retrieval, re-ranking and citations so every answer can be traced to a source.
LLMOps & evaluation
Offline eval sets, online monitoring, prompt and model versioning, drift and cost dashboards — the plumbing that keeps AI reliable after launch.
Small & private models
Fine-tuned small language models and on-premise deployments for teams that cannot send data out, or need predictable unit economics at scale.
AI governance & readiness
Model inventories, risk tiering, decision logs and board-level reporting aligned to MAS AI risk guidelines, PDPA, the India DPDP Act and the EU AI Act.
How we think about the stack
Model-agnostic by design. We pick the model per task and keep the switching cost low, so you benefit from every release instead of being trapped by one.
- Models
- Frontier models through enterprise APIs, open-weight models on your cloud or on-prem, and fine-tuned small models where latency, cost or data residency decide.
- Orchestration
- Graph-based agent runtimes, tool calling over standard protocols, durable workflows for long-running tasks and retries.
- Retrieval
- Hybrid lexical and vector search, re-ranking, structured knowledge where the domain needs it, and citation-first answer generation.
- Evaluation
- Golden sets built with your domain experts, LLM-as-judge with human calibration, regression gates in CI before any prompt or model change ships.
- Observability
- Full traces per run, cost and latency per step, drift alerts, and dashboards your risk team can read without an engineer.
- Deployment
- Microsoft Azure, AWS, Google Cloud or your own data centre — with the same evaluation and audit discipline on each.
Where we focus
Sectors where the documents are heavy, the regulators are present and the cost of a wrong answer is real.
Banking & financial services
Onboarding reviews, credit memos, policy copilots, regulatory reporting assistants.
Insurance
Claims intake and assessment, underwriting document review, broker correspondence agents.
Healthcare & pharma
Clinical documentation, prior-authorisation, pharmacovigilance case intake, health-data pipelines.
Higher education
Student-services agents, admissions automation, research assistants, AI labs and curricula.
Manufacturing & logistics
Demand sensing, supplier correspondence, quality-report analysis, warehouse intelligence.
Government & public sector
Citizen-service agents, document-heavy approvals, consent and data-governance platforms.
Not sure which capability fits?
Bring one workflow. We'll map it to the right pattern in a 45-minute working session.