The UI has to keep up with the agent.
React front-ends built for AI-native products — streaming responses, live agent state, real-time data — not a brochure site with a chatbot bolted on.
Beyond Technologies is a React development company that builds one specific kind of product: the front-end layer for AI-native software — chat interfaces that stream token-by-token, agent consoles that show live tool calls, dashboards that update in real time as data changes underneath them. That's a different engineering problem from a marketing site or a CRUD admin panel, and it's the only kind of React work we take on. Every engineer on a React engagement also understands the AI system behind the interface, because interface and system can't be designed apart — Vaisela's AI seller assistant and Cove's operator portal both shipped on this stack.
Not a feature list. A real workflow.
Here's what this actually looks like once it's running against your product — not the pitch, the mechanism.
Streaming, token-by-token, without janky re-renders
A chat response arrives as a stream of tokens from the model API. We architect the render loop so text appears smoothly while the rest of the interface — sidebar, history, controls — stays fully interactive, not frozen mid-response.
Agent consoles that show the reasoning, not just the answer
When an agent calls a tool, checks a policy, or waits on an approval, the operator sees it happen — a live trace, not a spinner. This is the pattern behind Vaisela's seller-recommendation dashboard, where trusting the system mattered as much as the recommendation itself.
State that survives a multi-step agent workflow
An agent workflow can run for minutes across several tool calls and a human approval step. The UI has to hold state correctly through all of it — no lost context on a page refresh, no re-running a step that already completed.
Shipped, not promised.
Cove — Home Security Platform Consolidation
Operator portal, headless CMS, and marketing platform for a US home-security device ecosystem — three disconnected systems consolidated into one operator experience.
Gigbase — Multi-Tenant Agency Operating System
A multi-user agency management portal: projects, teams, clients, contracts, invoicing, real-time chat, meeting scheduling, and an admin-trained AI knowledge assistant — one subscription-based workspace.
Vaisela — AI Virtual Seller Assistant for Amazon
An AI-powered virtual assistant for Amazon sellers: a custom-trained LLaMA model analyzes Seller Central data and proactively recommends actions — privacy-by-design, piloted with 200 sellers, architected to scale to millions.
Concrete, not conceptual.
Every engagement under this stack produces the same kind of artifact — reviewed weekly, owned by you from day one.
See what React would look like on your AI system.
How React orchestrates.
Chosen per engagement, never the other way around — this is how the pieces actually connect around the system we're building.
Asked on every first call.
Both — Next.js is our default when a project needs server rendering, routing, or an API layer alongside the front-end (Gigbase's agency platform, Cove's operator portal); plain React with Vite when it's a client app sitting in front of an existing backend. We pick the framework the project needs, not a default stack.
Both. Taking over an existing codebase starts with an audit — component structure, state management, test coverage — before we touch anything, so we're not guessing at intent from unfamiliar code.
Yes, for the kind of React work this page describes: front-ends for AI-native products. Beyond Technologies works as a white label partner for agencies, so its React engineers work in the agency's repositories, standups and tools on the agency's email domain, with no Beyond Technologies attribution on anything that reaches the client. The agency's NDA, DPA, non-solicit and non-circumvention terms are signed before anyone opens the repository, all code and IP assign to the agency on delivery, and engineers typically start within one to two weeks of the intro call.
Two things change: data arrives incrementally — streaming tokens, live agent events — instead of a single API response, and the interface has to represent uncertainty: a low-confidence answer, a step waiting on human review. Most component libraries aren't built to show that by default; we build the pattern into the architecture instead of bolting it on later.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.