We create software using technologies you can trust.

GPT-4o, GPT-4.1, o-series reasoning, and the Assistants API. Our default for production LLM features — chat, extraction, tool-use agents, and embeddings.

Claude 3.5, Claude 4, and Claude Code. Our pick for long-context reasoning, code generation, and safety-critical agent tasks.

Every engineer here pairs with Claude Code. It reads the repo, proposes diffs, runs tests, fixes its own bugs — and is the reason we ship 3× faster.

AI-native editor that understands the full codebase. Great for brown-field work and TDD sessions where the agent writes, runs, and fixes.

Gemini 2.0 for multimodal tasks — PDF parsing, video understanding, huge-context document QA. We reach for it when the input is messy or multimodal.

Open-weight models with strong reasoning and code performance at a fraction of frontier cost. Our pick when latency, price, or self-hosting matter most.

The open model hub. Pretrained transformers for NLP, vision, and generative AI — and the hosted inference endpoints to run them in production.

AI pair programmer in the IDE — code completions, function generation, and codebase navigation. We use it alongside Claude Code on every project.

The fast lane to Gemini. Visual prompting, fine-tuning, and API exports — we use it to prototype Gemini features before wiring them into product.

Natural-language to full-stack prototype. We reach for Stitch when validating an idea before committing engineering hours.

TypeScript toolkit for AI in product. Streaming chat, tool calls, structured outputs, multi-model — drop-in for any Next.js app we ship.

Visual automation for business workflows. When the ops team needs to own the logic, Make gets it shipped without a dev in the loop.

Fastest path from "we need a notification when X" to production. Perfect for lightweight triggers between CRMs, email, and Slack.

Custom functions, sheet-as-backend, email triage, and Drive automation. Underrated for internal tools built directly on top of Workspace.

Model Context Protocol. We build custom MCP servers that give Claude and other AI assistants secure, structured access to client systems.

Our production framework for React — App Router, Server Components, streaming, ISR. Deployed on Vercel in 90% of cases.

Native iOS + Android from one TypeScript codebase. Our pick for teams that already have a React web app and want mobile parity fast.

Async Python with automatic OpenAPI docs and Pydantic validation. Our default when the backend has ML, data pipelines, or RAG logic.

Visual backend with a proper query builder, auth, and extension marketplace. Default pairing for Bubble, Webflow, and FlutterFlow apps.

Postgres with row-level security, realtime, auth, storage, and pgvector. Our pick for most custom-coded AI-first products.

Pinecone, Weaviate, Chroma, pgvector. The retrieval layer for RAG, semantic search, and recommendations — we design pipelines and scale them.

Proper full-text search, aggregations, and log analytics. We reach for it when Postgres FTS stops being enough.

Spreadsheet with a backbone. Works as source-of-truth for internal ops, content pipelines, and small catalogs up to ~50k rows.

Visual full-stack web app builder. We use Bubble when the product is CRUD-heavy, the deadline is tight, and the team wants to own edits after launch.

Design-focused CMS for marketing sites that marketing teams actually want to edit. We pair it with Memberstack, Xano, or Finsweet for custom logic.

Visual builder for real Flutter apps — ships to iOS and Android from one source. We drop into the generated Dart when things get custom.

Wraps a web app into a native iOS/Android shell with push, deep links, and native transitions. Mobile presence without a second codebase.

TypeScript-first headless CMS with built-in auth, admin UI, and a Local API. Our pick when a marketing team needs CMS power on a Next.js app.

ES2024+ everywhere. React, Next, Node, Bun — whichever runtime fits the build.

Default for data pipelines, AI/ML work, scrapers, and anything that touches LangChain, LlamaIndex, or custom RAG.

Laravel, WordPress, and legacy-system integrations. When the ecosystem is PHP, we meet it there — cleanly.

CDN, Workers, R2, D1, and Durable Objects. Our pick when the architecture needs to be globally close to users.