Six practices. One team on the ground for every engagement.

We're organized around the shape of problems, not the shape of a sales deck. Every practice below runs as a multi-disciplinary squad with a named engineering lead, a delivery manager, and direct-line access to the domain partners behind the work.

Platform engineering that pays for itself in the first quarter.

We design and operate cloud platforms the way product teams design and operate products: with a clear user, a golden path, and a feedback loop between the infrastructure and the software it carries. Landing zones come with paved roads. FinOps is wired in at day one. Observability is a first-class citizen.

Typical engagements range from six-week foundation sprints through multi-year co-operating relationships. We hand the keys back when the platform stands on its own.

/ stack
  • AWS · Azure · GCP · OCI
  • Kubernetes · Nomad · ECS
  • Terraform · Crossplane · Pulumi
/ deliverables
  • Paved-road reference architecture
  • Golden-path developer portal
  • Run-book + on-call enablement
/ engagement
6-week foundation → multi-quarter co-op → handover
/ team shape
Staff engineer · 2 platform eng · SRE · FinOps lead

Applied intelligence — past the demo, into production.

The gap between a working prototype and a system a regulated enterprise can deploy is measured in months of evaluation, guardrails, and observability. We close that gap. Our MLOps practice builds the harness around the model: eval sets, drift monitoring, red-team pipelines, and the operational muscle to iterate.

From retrieval-augmented systems to multi-agent workflows to on-prem fine-tuning, the target is the same: measurable business value with a number next to it.

/ stack
  • PyTorch · JAX · Ray
  • LangChain · LlamaIndex · DSPy
  • vLLM · Triton · NVIDIA NIM
/ deliverables
  • Eval harness with versioned test sets
  • RAG / agent reference implementation
  • Model governance + red-team protocol
/ engagement
10-week discovery → pilot → production rollout
/ team shape
ML staff · Eval engineer · App eng · Product lead

Lakehouses, streams, and contracts your data teams actually want to use.

We treat data as a product. That means schemas with owners, SLAs with teeth, and a contract between producers and consumers that survives the next reorg. Whether the workload is batch analytics, real-time decisioning, or the retrieval layer underneath a gen-AI system, the foundations are the same.

/ stack
  • Databricks · Snowflake · BigQuery
  • Kafka · Flink · Iceberg · Hudi
  • dbt · Airflow · Dagster
/ deliverables
  • Federated lakehouse reference
  • Data contracts + catalog
  • Streaming inference pipeline
/ engagement
8-week foundation → quarterly sprints
/ team shape
Data staff · 2 platform · Analytics eng · Governance

Dedicated squads. Real code review. Friday deploys.

Our product engineering squads are embedded long-term. They own their code paths, run their own on-call, and ship to production with the same cadence your best internal teams do. This is the largest of our practices and the one that most often carries a client from founding stage through IPO-scale.

/ stack
  • TypeScript · Go · Rust · Kotlin
  • React · Next · Svelte · Remix
  • Postgres · Temporal · Redis
/ deliverables
  • Working software, shipped weekly
  • Embedded team, named engineers
  • Design system + component library
/ engagement
Quarterly squad commitment · renewable
/ team shape
TL · 3-6 engineers · PM · Designer · QA

Research, systems, and surfaces that scale across brands and regions.

Our design practice is tightly coupled to engineering. Systems are delivered as code, not as Figma handoffs. Research feeds directly into the backlog. Every screen ships with the component, the test, and the documentation in the same pull request.

/ stack
  • Figma · Tokens Studio · Storybook
  • Maze · Dovetail · UserTesting
  • Radix · Ariakit · Stitches
/ deliverables
  • Multi-brand design system
  • Research repository + insight ops
  • Accessibility audit (WCAG 2.2 AA)
/ engagement
Discovery sprint · systems build · co-op
/ team shape
Principal designer · Researcher · Systems eng

Zero-trust runtime, not a PDF of policies.

Security, for us, is an engineering discipline. We build zero-trust runtimes, SBOM-driven supply chain, and threat models that get reviewed with every release. Our compliance work targets real attestations — SOC 2 Type II, ISO 27001, HIPAA, PCI-DSS, FedRAMP Moderate — with evidence automation built in.

/ stack
  • SPIFFE / SPIRE · OPA · Kyverno
  • Vault · Teleport · Boundary
  • Sigstore · SLSA L3 · CycloneDX
/ deliverables
  • Zero-trust reference architecture
  • Supply-chain hardening + SBOM
  • Audit evidence automation
/ engagement
Threat model sprint → continuous assurance
/ team shape
Security architect · AppSec · GRC · Detection eng

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