Forty-one services.
Eight practices.
A full-service engineering studio organized into eight categories. Each practice is owned by a senior partner and priced as a fixed engagement.
Engineering
Production web and product engineering — from a blank repo to a system that runs itself.
Full-Stack Web Development
Production web applications — frontend, backend, database, deployment — built by senior engineers who have done it before.
SaaS Product Engineering
Multi-tenant SaaS engineered for revenue — billing, plans, seats, usage, admin and the unglamorous infrastructure that makes a product sellable.
MVP & Rapid Prototyping
From idea to a real product in weeks. Senior team, fixed scope, ready to put in front of users — and to scale when it works.
Mobile App Development
iOS, Android and cross-platform apps engineered for real-world conditions — offline, slow networks, App Store and Play Store reality.
E-commerce Engineering
Headless commerce, checkout, payments and post-purchase engineering. Speed and conversion as engineering problems, not marketing initiatives.
API & Backend Engineering
Public APIs, internal services, SDKs and developer experience engineered for adoption — versioned, documented, observable.
Real-time & Streaming Systems
WebSockets, presence, collaboration, event streams and live data — engineered for the messy reality of always-on connections.
Design Systems & Frontend Engineering
Design systems, component libraries and frontend architecture engineered for the team that has to live with them.
Python Backend Engineering
Production Python services — FastAPI, Django, async, typed, observable — for APIs, ML serving, data tooling and the unglamorous backend work that runs the business.
Go Backend & Systems Engineering
Go services for performance-sensitive workloads — APIs, gateways, control planes, network and infrastructure tooling — engineered the way Go rewards.
Web Architecture & System Design
Architecture for web platforms — services, data flow, integration, scale and the decisions that compound over years. Written down, defensible, your team's.
Caching & Edge Performance
Cache architecture across browser, CDN, edge, application and database. Speed, cost and correctness — engineered together.
AI & Machine Learning
LLM features and ML systems that move metrics, not demos. Scoped, evaluated, observable, affordable to run.
AI Integration & Automation
LLM features that work in production — scoped, evaluated, observable, cheap enough to actually run. AI where it measurably moves a metric.
RAG & Knowledge Systems
Retrieval-augmented generation engineered for production — ingestion, embeddings, retrieval, evaluation. Answers grounded in your data, not the model's training.
AI Agents & Copilots
Agentic workflows that complete real tasks — tool use, planning, memory, guardrails. With observability and human-in-the-loop where stakes demand.
ML Engineering & MLOps
Classical and modern ML in production — training pipelines, model serving, feature stores, drift monitoring. ML systems engineered, not bolted on.
AI Strategy & Roadmapping
Where AI fits in your product, what to build, what to skip, what to measure. A roadmap your engineering team can execute and your board can defend.
Data & Analytics
Pipelines, warehouses and analytics infrastructure that turn raw events into decisions.
Data Engineering & Pipelines
Ingestion, transformation and orchestration pipelines that turn raw events into trustworthy data. Reliable, observable, owned by the team that uses it.
Analytics Engineering & BI
Modelled, tested, versioned analytics with self-serve BI that your team actually trusts. Metrics defined once, in code, reviewed.
Data Warehousing & Lakehouse
Warehouse and lakehouse design for the scale you're at and the scale you're going to. Performance, cost and access engineered together.
Real-time Analytics
Sub-second analytics on fresh data — for product surfaces, operational dashboards and customer-facing experiences. Built on the right stack, not heroics.
Cloud & Infrastructure
Cloud architecture, DevOps and reliability engineering that fits in one person's head.
Cloud Architecture
AWS, GCP and Azure architectures designed for the workload — not the vendor's marketing diagram. Right-sized, cost-aware, your team's to operate.
DevOps & CI/CD
Deploy pipelines, infrastructure-as-code and developer experience engineered so your team ships safely on Friday afternoon.
Kubernetes & Platform Engineering
Kubernetes done seriously — or, where it's the wrong answer, the simpler thing that works. Internal developer platforms that make engineers faster.
Site Reliability Engineering
SRE practices: SLOs, on-call, incident response, observability and the engineering work that turns reliability into a measurable discipline.
Cloud Cost Optimization · FinOps
Cloud bill reduction that doesn't require a rewrite — sized resources, right reservations, eliminated waste. Frequently 30 — 60% savings.
Security & Compliance
Audits, hardening and compliance readiness — engineered into the product, not bolted on for the audit.
Security Audits & Pentesting
Application, infrastructure and cloud security audits with executable findings — fixes, not just a PDF. Plus pentest engagements when required.
SOC 2 / ISO 27001 Readiness
Compliance engineered, not theatrically performed. Controls embedded in your engineering practices so the audit is the easy part.
Privacy Engineering · GDPR · CCPA
Data privacy treated as engineering — DSAR automation, consent management, data mapping, retention. Built into the product, not the lawyer's office.
DevSecOps & Supply-Chain Security
Security shifted left without slowing the team down. SAST, DAST, dependency, secret and supply-chain controls integrated into your CI.
Growth Engineering
Technical SEO, performance and conversion infrastructure. Search visibility and speed as engineering disciplines.
Technical SEO
Crawl, index, render and rank — engineered. Core Web Vitals, schema, internal linking, programmatic SEO and the technical foundation traffic compounds on.
SEO Growth Programs
Beyond technical SEO: content engines, programmatic pages, link strategy and measurement. A growth practice that compounds over years.
Performance Engineering
Core Web Vitals, latency and frontend performance as engineering metrics — measured, gated in CI, improved deliberately.
Conversion Rate Optimization
Experimentation infrastructure, instrumented funnels and engineering-led CRO. We build the system, not the gut-feel A/B test.
Attribution & Marketing Analytics
Marketing analytics, attribution and reporting infrastructure that survives cookie consent and ad-blockers. Numbers your CMO and CFO trust.
Consulting & Advisory
Fractional leadership, due diligence and strategic decisions when the next move is consequential.
Fractional CTO & Technical Advisory
Senior technical leadership on retainer — for founders without a CTO, boards needing oversight, and CEOs whose CTO needs a sparring partner.
Technical Due Diligence
Pre-investment, M&A and partnership diligence — code, infrastructure, team, security and roadmap evaluated by people who've operated all of them.
Code & Codebase Health Audits
Comprehensive codebase audits: architecture, code quality, tests, performance, security, operational maturity. Written report with prioritized remediation.
Tech Stack Strategy
What to build with, what to buy, what to migrate from. Stack selection grounded in your team, budget and trajectory.
Digital Transformation
Modernization programs that ship — not five-year decks. Phased transformation grounded in engineering reality and measured outcomes.
Build-vs-Buy Analysis
When to build it, when to buy it, when to wait. Rigorous analysis grounded in real costs — engineering, opportunity, lock-in, exit.
Engineering Team Augmentation
Senior engineers embedded in your team for a defined period — capacity, expertise or both. Working in your repos and rituals.
Engineering Hiring & Mentorship
Hire better engineers, faster. Scorecards, interview design, candidate evaluation and mentorship of your hiring leaders.
Architecture Review Service
Independent senior review of your architecture choices. A second opinion on the decision that matters — written, defensible, on demand.
Engineering Leadership Coaching
Coaching for engineering managers, directors and VPs — from people who've held those roles in shipping companies. Practical, weekly, confidential.
AI & Innovation Workshops
Working workshops — not vendor pitches. Your team learns what's actually possible with AI and modern engineering, with concrete outputs.
Vendor Selection & RFP Support
Independent vendor selection for material technology purchases. Honest scoring, defensible recommendation, no kickbacks.
Modernization
Legacy systems re-platformed without a 24-month rewrite. Migrations, refactors and de-risked turnarounds.
Legacy System Modernization
Legacy codebases re-platformed without a 24-month rewrite. Strangler-fig migration, parallel running, no feature freeze.
Cloud Migration
On-prem to cloud, cloud to cloud, or out of the cloud — migrations done in phases with parallel running and no surprise bills.
Monolith → Microservices (Done Right)
Service decomposition done carefully — or, where appropriate, not at all. The honest answer for many teams is a modular monolith.