Six service lines. One operating philosophy.
We build and operate platforms, not advisory artifacts. Each line is led by senior engineers who've run the same systems in production, on-call, on weekends. Pick any anchor below and skip the marketing pages.
Cloud platforms
Reference architectures, landing zones, and the Terraform you can actually maintain after we leave.
We design and build cloud platforms on AWS, Azure, and GCP: multi-account landing zones, network topology, identity, the boring foundation everything else depends on. Most engagements start by tearing out an unmaintained Terraform monolith and replacing it with module boundaries that match the org chart.
You leave with code, not slides. Modules tagged, pipelines running, runbooks written, and a one-page architecture diagram a new hire can read on day one.
DevOps & SRE
Pipelines, runners, observability. SLOs that survive a Tuesday on-call rotation, not a slide deck.
Most "DevOps transformation" projects end with a Confluence page nobody reads. Ours end with a green pipeline, a paged SRE rotation, and a Grafana dashboard you'd hand to a CFO. We bring our own tooling (the open-source runners, status pages, and SOC monitor we maintain) and integrate them with what you already run.
If your deploys are scary, your alerts are noisy, or your on-call rotation is one person, this is the conversation to start with.
Software development
Production services in Go, TypeScript, Python. APIs, workers, internal platforms, shipped, not prototyped.
We write production software the way we write infrastructure: opinionated, observable, and boring on purpose. We work best where the business logic and the platform meet: payment flows that need idempotency, internal developer platforms, ETL that needs a backfill story, APIs that need to survive a partner integration.
We don't take greenfield-only work. Most of what we ship lands inside an existing codebase you can't rewrite.
Security & compliance
FedRAMP, FISMA, SOC 2. Threat models, control mappings, and tooling that engineers will actually run.
Security work is mostly engineering work, with a paper trail. We do both. Threat models that map to STRIDE; control mappings that map to NIST 800-53 or CIS; secret-scanning, SBOMs, image signing, wired into the same pipeline that ships the product. For regulated workloads we ship in air-gapped, ITAR, and IL5-adjacent environments.
We will not write you a SOC 2 readiness deck. We will write you the IAM policies, the OPA bundles, and the runbooks that make the audit boring.
AI & automation
LLM systems for engineering teams. RAG, evals, guardrails, cost ceilings, and audit trails.
Most LLM projects fail not because the model is bad, but because the surrounding system is. We treat LLM features as production services: schemas, evals, retries, caching, and a human-readable audit log. We've shipped retrieval, agentic workflows, and offline-eval pipelines into both startup and federal environments.
If you're staring at a 12-figure inference bill or a "demo to production" gap, we know that path well.
Data & analytics
Warehouses, lakehouses, pipelines. Postgres → Iceberg, dbt models, dashboards engineers trust.
We build data platforms the way we build everything else: with tests, version control, and a runbook. CDC out of Postgres, lakehouse on S3 with Iceberg, dbt for transforms, a metrics layer the BI team can't bypass, and observability you can read on Sunday morning when the dashboard is wrong.
Bonus: we like reverse-ETL. The data warehouse should write back to the systems people use, not just the slide a VP screenshots.
Tell us what's broken.
A 30-minute call with a senior engineer, not an account manager. We'll tell you whether we can help, and if we can't, we'll tell you who can.