Capabilities
Everything from the first automation to the platform that runs it
Most vendors sell one half. The projects that reach production need both — the AI engineering and the infrastructure underneath it — owned by the same people, with no wall in between.
AI & Automation
Design, build and run AI systems that do real work — agents, automations and the data platforms underneath them.
AI Automation & Agents
Agents that finish the work, not just draft it
- Process-first, not model-first
- Human review where mistakes are expensive
- Live in weeks, measured from day one
Custom AI Development
RAG, copilots and AI products built to hold up
- Retrieval that returns the right passage, measured
- Guardrails, audit trails and PII handling built in
- Ships as a maintainable codebase you own
AI Strategy & Readiness
A costed plan, ranked by return — not a slide deck
- Ranked backlog, not a maturity model
- Honest build-versus-buy recommendations
- Two weeks, fixed price
Data & AI Engineering
The pipelines and platforms AI actually depends on
- Batch and streaming pipelines with real tests
- Vector and relational stores designed together
- Lineage and quality gates, not hope
MLOps & LLMOps
Keep AI systems accurate, cheap and accountable in production
- Evals in CI, not vibes in a meeting
- Token and latency budgets per feature
- Full request tracing and audit trail
AI Governance
Ship AI your risk function will actually approve
- DPDP Act 2023 and GDPR by design
- Audit trails, not after-the-fact assertions
- Model risk documentation your auditors accept
Infrastructure & Ops
Build, maintain and migrate the infrastructure that AI runs on. TechOps, DevOps and fully-managed NoOps.
DevOps & Platform
Ship weekly without hiring a platform team
- Deploys measured in minutes, not evenings
- Every environment reproducible from code
- Rollback that has actually been tested
NoOps (Fully Managed)
Your developers push code. Everything after that is ours.
- 24x7 monitoring with 15-minute P1 response
- Patching, scaling and DR handled
- One monthly report, no surprises
TechOps
The day-to-day technology operations nobody owns
- One accountable owner for internal systems
- Access reviews that actually happen
- SaaS sprawl and spend under control
Cloud Migration
Move without a weekend everyone remembers for the wrong reasons
- Wave-based cutover with rollback at each step
- Cost modelled before you move, not after
- Zero or near-zero downtime for critical paths
Infrastructure Management
Build it right, then keep it that way
- Landing zones built with guardrails from day one
- Patching and upgrades on a schedule, not a crisis
- Backups tested quarterly with a written result
DevSecOps
Security in the pipeline, not in a quarterly report
- Scanning that blocks merges, not dashboards nobody opens
- Secrets out of code and out of history
- Audit evidence produced automatically
How engagements are shaped
Any of the twelve services can be delivered under any of these three models. Which one fits depends on how well-defined the problem is.
Fixed-scope project
A defined outcome, a fixed price and a date. Best for audits, pilots and single-workflow automations.
Best for: Clear problem, known scope
Managed retainer
A monthly subscription covering operations, on-call and continuous improvement of what we built.
Best for: Running systems in production
Dedicated pod
An embedded squad — AI engineer, platform engineer and a lead — working as part of your team.
Best for: Ongoing roadmap, multiple workstreams
Let's find out what is actually automatable
Bring a process that annoys you. In 30 minutes we will tell you whether AI helps, what it would cost, and where it would fail — even if the answer is don't bother.
Or email [email protected] · we reply within 1 business day