Capabilities
Everything from the first prototype to the customers it earns
Most vendors sell one slice. Reaching production needs the AI engineering and the infrastructure underneath it; earning a return needs the product and demand work after it. Same team, no wall in between, one accountable owner.
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
Product & Growth
Take a product from prototype to production, then make it perform commercially. Product engineering and demand generation, measured on revenue rather than impressions.
Product Engineering
Prototype in weeks, production that survives the first thousand users
- A working prototype before the specification is finished
- Production build with the operational surface designed in
- The same team runs it afterwards, or hands it over properly
Growth & Demand
Fewer, better leads — and the plumbing to prove it
- Measured on qualified pipeline, not impressions
- Attribution built on your data, not a platform's self-report
- We will tell you when the problem is the offer, not the marketing
How engagements are shaped
Any of the fourteen 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