React for AI Interfaces That Actually Ship
How we build the dashboards, chat interfaces, and data visualizations for your AI systems
React Without the Drama
We've been building React since 2013. Now most of what we build with it is the interface layer for AI systems -- dashboards that track model performance, chat UIs that stream LLM responses, visualization tools that make embeddings and attention patterns legible to humans. The underlying models are only as useful as the interfaces people interact with.
AI interfaces push React harder than typical web apps. Streaming data, frequent state updates, complex conditional rendering based on model confidence, tool use, and error states. We know which React patterns hold up under that pressure and which ones fall apart.
The goal is AI interfaces that feel fast, stay responsive under load, and don't require us to maintain them forever. Your team should be able to ship features without calling us first.
React Services for AI Products
AI Dashboard Development
Model performance metrics, training runs, inference monitoring -- your AI systems generate data that needs a clear interface. We build dashboards that surface what matters and hide what doesn't.
Conversational UI
Chat interfaces for LLMs that handle streaming responses, tool use displays, multi-turn context, and graceful error states. The hard part isn't the chat bubble -- it's everything around it.
Real-Time Data Visualization
Streaming inference results, live embeddings, token-level attention maps. React's rendering model handles high-frequency data updates well when you structure it right. We structure it right.
Next.js for AI Applications
Server-side rendering for SEO-critical AI product pages, edge functions for low-latency inference proxies, and streaming server responses that pipe LLM output straight to the browser.
Performance Optimization
AI interfaces push React harder than most apps -- frequent state updates, large data payloads, streaming renders. We profile, find the bottlenecks, and fix them without sacrificing responsiveness.
Component Libraries for AI Products
Prompt editors, model selectors, confidence indicators, annotation tools. We build reusable component libraries for AI product teams so you stop rebuilding the same patterns across projects.
Tools We Actually Use
These are the libraries and tools we reach for regularly, not because they're new, but because they work well in production.
Frameworks & Meta-Frameworks
- Next.js 15
- Remix
- Gatsby
- Vite + React
- React Server Components
State Management
- Redux Toolkit
- Zustand
- Jotai
- Context API
- TanStack Query
Styling Solutions
- CSS Modules
- Tailwind CSS
- styled-components
- Emotion
- Sass/SCSS
Testing & Quality
- Jest
- React Testing Library
- Playwright
- Cypress
- Vitest
Build Tools & Bundlers
- Turbopack
- Vite
- Webpack 5
- esbuild
- SWC
TypeScript & Tooling
- TypeScript 5
- ESLint
- Prettier
- Husky
- Lint-staged
How We Build
Streaming-First Architecture
AI products stream data -- LLM tokens, inference results, training metrics. We build React architectures that handle continuous data flow without choking the UI or burning through memory.
Concurrent Features for AI UX
Suspense boundaries around model responses. Transitions that keep the UI responsive while inference runs. Selective hydration so the dashboard loads fast even with heavy visualization components.
TypeScript, No Exceptions
AI interfaces deal with complex data shapes -- model outputs, confidence scores, tool call schemas. TypeScript catches the mismatches before users hit them. We don't ship without it.
Accessible AI Interfaces
Screen readers need to handle streaming text. Keyboard navigation needs to work in complex dashboards. WCAG compliance is harder in dynamic AI interfaces, which is exactly why you build it in from the start.
Why Work With Us
We Build Both Sides
We build the AI systems and the React interfaces that expose them. That means fewer miscommunications between your ML team and your frontend team, because we are both.
Performance Under AI Load
AI interfaces stress React differently than typical apps. We measure time-to-first-token rendering, streaming throughput, and visualization frame rates. Not just Lighthouse scores.
Architecture for Evolving Models
Models change fast. Your interface layer needs to absorb new capabilities -- tool use, multimodal output, longer context -- without a rewrite. We plan for that.
Thirteen Years of React
We've built React apps since 2013. The AI framing is new; the engineering discipline is not. We know what survives production.
Trusted by Industry Leaders
Building an AI Interface?
Tell us about your AI system and who needs to interact with it. We’ll give you a straight assessment of the React architecture, timeline, and whether we’re the right fit.