capabilities
How we work with you.
Most engagements start with one pillar and grow into the others as the first agent proves itself.
[ engineering ]
AI Engineering
We build the production systems around your models — retrieval, evaluation, observability, deployment. The unglamorous work that makes AI reliable at scale.
- eval harness passing
- canary at 5% traffic
- drift monitor wired
[ agents ]
Agentic Systems
Autonomous agents that plan, call tools, and complete multi-step work — with the approvals and audit trails production actually requires.
- 4 steps planned
- human approval gate cleared
- 4/4 steps executing
[ strategy ]
AI Strategy & Enablement
Roadmapping, build-vs-buy calls, and hands-on upskilling so your team can run and extend AI systems without us in the room.
- 12 workflows scored
- 3 quick wins prioritized
- team enablement underway
[ finops ]
AI FinOps
We give AI spend the same discipline as production code — tracing usage, enforcing budgets and guardrails, then tuning prompts and models so cost drops without quality slipping.
- spend instrumented
- guardrails and budgets deployed
- cost down, quality held
[ governance ]
AI Governance, Evaluation & Guardrails
We put the same rigor around what your agents are allowed to do as around what they output — evaluation harnesses, runtime guardrails, and audit trails your risk team will actually sign off on.
- eval suite passing
- guardrails enforced
- audit trail live
[ security ]
AI Security
We put AI to work on both sides of security — agents that triage alerts and hunt threats alongside your SOC, and red teams that attack your models and agents with prompt injection, tool abuse, and data exfiltration before anyone else does.
- red-team campaign run
- injection paths closed
- SOC triage agent live