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Production engineering for every layer of your stack, moving at AI speed.

We build AI-native software, and we build everything faster with AI.
Hand us the product and we own it end to end. Or put our engineers inside your team and we deliver alongside yours.

Scope your project

2500+

Product sprints shipped

10M+

Daily users served on software we built

10+ Y

Shipping across the full lifecycle

400+

Engineers, designers, and product experts

Own your delivery, or strengthen your team with us. We do both.

Build partner
Hand us the product. We own discovery through deployment and the iteration after.
Embedded experts
Our engineers join your team, your stack, your process. You keep the roadmap. We add the depth.
Start in one. Move to the other as the work changes.

Start in one. Move to the other as the work changes.

Embedded experts

Our engineers join your team, your stack, your process. You keep the roadmap. We add the depth.

Build partner

Hand us the product. We own discovery through deployment and the iteration after.

Own your delivery, or strengthen your team with us. We do both.

What we ship

Every kind of engineer. Every part of the stack. One partner.

A decade of software running in production at scale. Fintech, media, healthcare, government, regulated industries.


The full bench: frontend to infrastructure, design to DevOps, mobile to data, application to AI agent.


The team that ships real AI systems, so building something intelligent isn't a separate vendor hunt.

We don't staff a gap and leave. We get things done and stand behind them.

Software Engineering

The full craft, from first commit to production.

  • Web, mobile, API, backend, frontend, whatever the system needs
  • Architecture through deployment through long-term maintenance
  • Legacy modernization that carries institutional knowledge into the new system
  • AI features and agent integrations engineered as governed components

Platform Engineering

The foundation your developers ship on.

  • Internal developer platforms that reduce delivery friction across every team
  • Infrastructure, CI/CD, and observability engineered for real production throughput
  • Context engineering: the architecture layer that makes agentic workflows produce reliable output

Agentic Engineering

Multi-agent systems that own real work.

  • Custom agent design, orchestration, and production deployment
  • Context engineering, the architecture agents run on
  • Human oversight, audit trails, performance monitoring

Product Engineering

From idea to shipped product.

  • Discovery and prototyping run by engineers who know what production requires
  • MVP scoped to prove the business case
  • One team owns strategy through deployment — no handoff, no lost context
Scope your project

What we ship

We build AI into your product.
And AI into how we work.

Two things most engineering shops can't do. We do both.

AI-native software

Agents, GenAI features, intelligence built into the product itself. We ship AI systems, not just apps with an API call bolted on.

Agentic delivery

Our engineers run Cursor, Claude Code, and codegen pipelines as standard practice. The judgment stays senior. The delivery timeline compresses.

The difference is who's steering. A decade of judgment decides what gets built and how. AI makes it faster. You get the speed without the mess.

Curious where AI fits in your stack?

Start with Strategy →

Name the layer. We have senior people shipping it in production right now.

Intelligence

LangGraph · LangChain · CrewAI · AutoGen · LlamaIndex · MCP · RAG · Graph & hybrid retrieval · Pinecone · Weaviate · Qdrant · Fine-tuning · Evals & guardrails · MLOps · PyTorch · TensorFlow · GPT · Claude · Gemini · Llama · Open model

Cursor · Claude Code · GitHub Copilot · Windsurf · v0 · Replit · Lovable · Agentic workflows · Codegen pipeline

Python · Node · Go · Java · .NET · Rust · C++ · Ruby · FastAPI · Spring · GraphQL · gRPC · REST · Event-driven · Microservices · Serverless · Laravel

Postgres · pgvector · MySQL · MongoDB · Redis · Snowflake · Databricks · BigQuery · Kafka · Airflow · dbt · Spark · Streaming & batch · Lakehouse

AWS · Azure · GCP · Kubernetes · Docker · Terraform · Pulumi · Helm · Istio · GitHub Actions · GitLab CI · Jenkins · Argo CD · FinOps · AIOps

AI testing · The Tester · Playwright · Cypress · Appium · Selenium · Self-healing automation · Visual regression · API & contract testing · Load & performance · Device farms · k6

AppSec · SAST & DAST · Penetration testing · Data sovereignty · Compliance · SOC 2 · Zero trust · OpenTelemetry · Datadog · Grafana · Prometheus

Intelligence Agentic Delivery Application & APIs Data Cloud & Platform Quality Security & Observability Extra Frame 8

The stack keeps changing.
Being first to master it is the constant.

Scope your project

Tell us what needs to ship. We'll scope it in two weeks.

Architecture, team composition, and timeline mapped against your actual goals. Before you commit to anything further.

Let’s Talk

Need the product shaped first?

Product & Design

What we're thinking about right now.

Is Your AI Investment Delivering? 

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$940M in AML Penalties Last Year. Run This AI Compliance Audit Before It’s You.

54% of compliance teams say fewer than 5% of their alerts lead to any action. Six checks that tell you whether your AI compliance program is working or just running.

AI Spend Management: How to Cut Your Token Bill Without a Cap

AI bills are landing well over budget, and the first instinct is a spending cap. Most of that bill is not the work your team does, it is the token spend wrapped around it. Where the money actually goes, why a flat cap cuts the wrong end, and what to put in place before you set a number.