Live products.
Measurable outcomes.
Eighteen of the consumer, healthcare, fitness, music, and enterprise apps we've shipped since 2008. Hydrow ($200M raised), Sermo (1.3M doctors), Eye Bot (90-second exams), Yamaha, Yankee Candle, and more — real users, real revenue, real engineering.
Three apps. $1B+ in funding raised.
The headline cases — pulled from our work with founders who later raised, scaled, or both. Same studio, same senior team, same Boston address.
Six verticals. One bench of builders.
We don't pick industries because they're trendy — we pick them because we've shipped enough product into each one to know where the gotchas live.
Connected Fitness
Real-time metrics, live experiences, hardware-software integration. Where the app and the device have to feel like one thing.
Hydrow · Lunge · Change Up · GMBHealthcare
Patient networks, AI diagnostics, devices, and enterprise health ops. Compliance-aware engineering, regulated by default.
Eyebot · Sermo · Parlance · Hungry HeadMusic & Media
Real-time audio, sheet music libraries, and eCommerce at scale. The world's largest iPad sheet music platform runs on our stack.
Yamaha · Sheet Music Direct · MPowerIoT & Hardware
Connected devices, sensors, BLE, machine-to-machine systems. The plumbing between physical product and a mobile app that doesn't drop the connection.
Yankee Candle · Hydrow · EyebotSafety & Mobility
Real-time driving behavior analytics that make the road safer. When seconds matter and uptime is a feature, not a SLA line.
TrueMotionSocial & Lifestyle
Social discovery, kids and education, location-based games. Consumer products that hold attention without the dark patterns.
Hands Down · KidConnect · LRI · MPowerBuilt on what works. Not what's trending.
The production stack we ship in — chosen for reliability, partner-team familiarity, and what the next engineer can step into without a six-month ramp.
iOS · Swift & SwiftUI
Native iOS in Swift with SwiftUI for the perf and polish App Store apps actually need.
Android · Kotlin & Compose
Native Android in Kotlin with Jetpack Compose for declarative, type-safe UI.
React Native
Cross-platform when shipping iOS and Android together makes economic sense — without dropping native feel.
Flutter
Dart-powered cross-platform for design-heavy products where every pixel matters across screens.
React & Next.js
Our default web app stack — server-rendered, route-based, type-safe, and fast on day one.
TypeScript
End-to-end type safety — Node, React, GraphQL. No untyped surfaces, fewer runtime surprises.
Node.js + GraphQL
API and BFF layers that do the heavy lifting so the client doesn't have to.
Postgres + pgvector
The relational backbone plus hybrid retrieval for AI products that need real data, not just embeddings.
Anthropic Claude
Our default generation model — strong reasoning, long context, low hallucination rate.
OpenAI
Fallback model for routing, structured outputs, vision, and high-quality embeddings.
RAG pipelines
Hybrid retrieval, re-ranking, and eval harnesses — the layers around the model that make answers grounded.
Cohere Rerank
Re-ranker we layer on top of hybrid retrieval — kills the long tail of low-relevance hits before the LLM sees them.
Computer vision
Object detection, OCR, AI vision diagnostics. Eyebot runs on this stack for sub-90-second eye exams.
Generative AI
Personalization, summarization, content generation — with prompt safety rails and human-in-the-loop where it counts.
AWS
ECS, Lambda, RDS, S3, CloudFront — the backbone for most production apps we ship.
Azure
Enterprise-friendly cloud, deep AI Foundry integration, the right fit for regulated workloads.
Google Cloud
BigQuery, GKE, and Vertex AI for ML-heavy and analytics-heavy workloads.
Docker + Kubernetes
Containerized everything, K8s orchestration. Predictable ops, easy rollbacks, repeatable environments.
Terraform
Infrastructure as code — reviewable in PRs, reproducible across envs, no console-clicking in production.
BLE
Bluetooth Low Energy for connected devices, wearables, kiosks — pairing and re-pairing flows that don't infuriate the user.
MQTT
Lightweight pub-sub messaging for telemetry-heavy fleets. The right choice when the device sends a lot, often.
Embedded firmware
Custom firmware integration, OTA pipelines, secure boot. Working hand-in-hand with our partners' hardware teams.
Sensor fusion
Combining accelerometer, gyro, GPS, and biometric streams into signals product teams can actually use.
GitHub Actions
CI/CD pipelines, automated tests, lint, type-check, and deploy on every PR. The boring stuff that catches everything.
Sentry
Error tracking, performance monitoring, release health. The first place we look when something goes wrong.
Datadog
Production observability — APM, logs, infra metrics, alerting that wakes the right person.
Fastlane + store ops
Automated mobile builds, signing, store deploys. App Store Connect and Play Console wired into the same pipeline.
Ten AI builds. Real production systems.
Forecasting engines, clinical decision support, computer vision, process automation — each one shipped to production. Click any tile to read the full case.
150+ shipped. Here are eighteen we can talk about.
Eighteen years of product work means a deep bench — most of it under NDA. These are the ones our clients let us show. Filter by vertical, or just scroll.
What we’re writing about.
Field notes from the studio — what we’re learning about AI products, agent UX, and the messy reality of shipping software in 2026.
