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01Services

four practices,
one team.

We pick our work carefully and we organize it around four practices that travel together. Most engagements draw from two or three at once — you'll never need to hire a separate vendor to make them talk to each other.

01/ practice

Custom Web Applications

Full-stack product builds — dashboards, marketplaces, internal tools and SaaS platforms shipped to production.

We design and engineer custom web products end-to-end. From a blank Figma file to a live, monitored deployment serving real customers — typically inside a single quarter.

Our stack is opinionated where it should be and pragmatic everywhere else. We bias toward TypeScript, edge-rendered React, durable Postgres, and a small surface area you can actually maintain after we leave.

// capabilities
Product discovery & technical architecture
Design systems and component libraries
Multi-tenant SaaS infrastructure
Payments, billing, and entitlement plumbing
Real-time collaboration and presence
Migration off legacy stacks (Rails, PHP, .NET)
// stack we reach for
TypeScriptNext.jsReactPostgresPrismatRPCTailwind
02/ practice

Mobile — iOS & Android

Native and cross-platform apps that don't feel like wrapped websites. Built for the App Store, not for screenshots.

We build mobile apps with the same engineering rigor we apply to web — typed code, real testing, observability from day one. Whether the right answer is Swift / Kotlin or a sharp React Native build, we'll tell you honestly which one fits the work.

We handle the unsexy parts too: provisioning, code signing, store review cycles, OTA updates, and the offline-first edge cases that decide whether an app feels native or merely shipped.

// capabilities
Native iOS (Swift / SwiftUI) and Android (Kotlin / Compose)
React Native and Expo for cross-platform velocity
Offline-first sync engines and conflict resolution
Native modules and bridging when needed
App Store and Play Store release management
In-app subscriptions, push, deep linking
// stack we reach for
SwiftKotlinReact NativeExpoRealmFirebase
03/ practice

AI & Agent Systems

LLM features that hold up in production: retrieval pipelines, agent orchestration, evals, and the boring parts that make them reliable.

Most AI products fall apart between the demo and the second user. We build the parts that don't make it into the screenshots — retrieval that actually retrieves, evals that catch regressions, observability that surfaces hallucinations before customers do.

We integrate models from Anthropic, OpenAI, and the open-weight ecosystem. We pick the right one per task, cache aggressively, and design for the day pricing or context windows change underneath you.

// capabilities
RAG pipelines with vector + lexical hybrid retrieval
Multi-step agents with tool use and memory
Eval harnesses and golden-set regression testing
Prompt versioning, A/B testing, and rollback
Streaming UIs and structured output enforcement
Fine-tuning, distillation, and self-hosted inference
// stack we reach for
AnthropicOpenAILangGraphpgvectorInngestPython
04/ practice

Cloud & DevOps

Infrastructure that scales when it has to, costs what it should, and pages someone before customers notice.

We architect and operate the systems behind the product — Terraformed, observed, and tuned. Whether you're moving off a single EC2 box or breaking a monolith into services, we treat infrastructure as a product with its own users (your engineers).

We lean on managed services aggressively and write custom Kubernetes only when the math demands it. The goal is fewer 2 AM pages, faster deploys, and a bill you can defend in front of the CFO.

// capabilities
Cloud architecture on AWS, GCP, and Cloudflare
Terraform / OpenTofu and reproducible environments
CI/CD pipelines and zero-downtime deploys
Observability: tracing, metrics, structured logs
Cost optimization audits and FinOps
On-call setup, runbooks, incident response
// stack we reach for
AWSGCPCloudflareTerraformKubernetesDatadog
06Next step

Tell us what you're building.

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