Bespoke AI, without the
science-project risk.
Custom LLM, agentic, and ML solutions engineered on your data, inside your systems — with governance and evaluation built in from day one.
What we build
Six capability areas — combined into solutions that match your highest-value use cases.
Enterprise copilots & RAG
LLM assistants grounded in your policies, contracts, and knowledge bases — with citations, not hallucinations.
- Policy & contract Q&A
- Internal knowledge search
- Role-aware access controls
Agentic workflows
Multi-step agents that execute work — triage, draft, validate, escalate — with human checkpoints where they matter.
- Process automation agents
- Human-in-the-loop patterns
- Audit trails by design
ML forecasting & classification
Classical ML where it beats the hype: demand planning, churn, risk scoring, and anomaly detection.
- Demand & revenue forecasts
- Risk & churn scoring
- Anomaly detection
Document intelligence
Extraction and understanding for the documents that run your business — invoices, contracts, claims, reports.
- Invoice & PO matching
- Contract clause extraction
- Claims triage
Data & model foundations
The unglamorous layer that decides whether AI works: pipelines, feature stores, evaluation harnesses.
- Data pipeline readiness
- Feature engineering
- Eval & regression harnesses
Governance & security
PII handling, explainability, model monitoring, and access governance — designed before the first prompt.
- PII & residency controls
- Explainability & audit
- Drift & quality monitoring
Review. Build. Embed.
The AI track mirrors the landscape track: short honest review, focused build, then embed — no endless POCs.
Readiness review
2–3 wksA short, honest review of your data, systems, and use-case backlog. We tell you which ideas are worth building — and which aren't.
- Data & systems audit
- Use-case value/feasibility scoring
- Ranked AI backlog
Build
6–8 wksPilot sprints with a working system at the end — not a demo. We build on your data, in your tenancy.
- Weekly demos
- Your data stays in your cloud
- Eval-driven development
Embed
OngoingHardening, monitoring, user training, and a handover — or we run it for you under managed services.
- Monitoring & drift alerts
- User enablement
- Run model: yours or ours
Readiness review
2–3 wksA short, honest review of your data, systems, and use-case backlog. We tell you which ideas are worth building — and which aren't.
- Data & systems audit
- Use-case value/feasibility scoring
- Ranked AI backlog
Build
6–8 wksPilot sprints with a working system at the end — not a demo. We build on your data, in your tenancy.
- Weekly demos
- Your data stays in your cloud
- Eval-driven development
Embed
OngoingHardening, monitoring, user training, and a handover — or we run it for you under managed services.
- Monitoring & drift alerts
- User enablement
- Run model: yours or ours
One conversation.
Zero obligation.
Tell us what you're running today and what's hurting. We'll tell you honestly whether a landscape assessment is worth your time — or what to do instead.