A DevOps partner that
won't page you at 3am.
Reproducible infra, real observability, drilled recovery — then agent-native AI workloads on top, under the same gates and audit trail.
Terraform from
day one
Real observability,
not vibes
RAG + agents under
the same gates
Your DevOps team —
then the AI on top.
Infrastructure as Code
We codify your environments in Terraform — reproducible from scratch, diffable in PRs, owned in Git.
CI/CD & GitOps
We build the promotion path across your envs and tenants — PR-driven, signed, rollback-safe.
Observability & SRE
We instrument your stack with Prometheus + Grafana + Loki — logs, metrics, traces, real SLOs.
AI Engineering
We design, build, and operate your agents, RAG, and context graphs — under the same gates as everything else.
What we deliver.
Infra as Code
Terraform modules, remote state, drift detection.
Containerization
Docker, multi-arch builds, distroless images.
GitOps
Env + tenant management, reconciled from Git.
CI/CD Pipelines
GitHub Actions, GitLab CI — fast and reliable.
Rollback & Recovery
Blue/green, canary, atomic deploys.
Observability
Prometheus + Grafana + Loki, SLO-driven.
Disaster Recovery
Runbooks, RPO/RTO targets, drilled quarterly.
Automated Testing
Cucumber BDD, integration, contract tests.
Battle-tested tooling.
We don't ship and disappear.
Scaling Strategies
Horizontal pod autoscaling, queue back-pressure, read replicas, CDN edge caching.
Performance Optimization
DB query plans, hot-path tracing, cold-start tuning, asset budgets — measured against SLOs.
Cost Optimization
Right-sizing, spot/preemptible workloads, idle-cleanup automation, FinOps dashboards.
Security & Compliance
SBOM + image scanning, secret management, OWASP gates, SOC 2 / HIPAA-ready controls.
Agent-native AI,
production-shaped.
AI Integration Patterns
LLM calls behind feature flags, fallback chains, cost-aware routing, response caching — production-shaped from day one.
AI Workflow Patterns
Plan-then-execute, tool-call graphs, human-in-the-loop gates, replayable runs with audit trails.
Agent Development
Custom agents with harnessed tool use, scoped permissions, deterministic eval suites, and observable execution.
Memory & Context Graph
Short-term scratchpads, long-term semantic memory, graph-based context retrieval — for agents and applications.
The stack, all the way down.
Agent Harness
Tool-use loops with scoped permissions, deterministic replay, and structured tracing.
Orchestration
Stateful, branching, human-gated agent graphs in production.
RAG Buildout
Ingestion → chunking → embeddings → retrieval → reranking — measured end to end.
Context Graphs
Graph-backed memory for agents and apps — entity-linked, traversable, persistent.
Custom Agents
Bespoke agents wired to your tools, your APIs, your RBAC — not off-the-shelf chatbots.
Eval & Observability
Offline eval sets, online drift monitoring, cost + latency dashboards.