01 / AI
AI product development — beyond the demo.
ML systems, agents, and intelligent platforms designed to live in production: evaluations, observability, fallbacks, cost discipline. Not prompts pretending to be products.
Nevynt is a senior team of engineers and designers — people who have built and run production systems before — helping ambitious companies turn ideas into software that holds up: AI platforms, scalable architectures, and the relentless craft that ties it all together.
An illustrative walkthrough of how a Nevynt build comes online — discovery to deploy in one continuous loop.
ML systems, agents, and intelligent platforms designed to live in production: evaluations, observability, fallbacks, cost discipline. Not prompts pretending to be products.
From whiteboard sketch to v1 to scale — design, frontend, backend, data, ops. One accountable team.
High‑throughput, low‑latency, distributed‑by‑default. Built to outgrow you.
AWS‑first, serverless and microservices, infra as code that's actually maintainable.
Embedded with your leadership team to scope what's possible and what to build first.
When the product needs to be 10× faster, 100× more reliable, or 1/10th the cost — we go in, instrument, profile, refactor, and ship measurable wins.
We start with a week of intense discovery — interviews, technical spikes, and a written architecture brief. No slide decks of generic options.
Tight loops, weekly demos, production from day one. We treat the MVP like a product, not a prototype — which is why it survives.
When usage hits, we stay. Performance work, reliability engineering, cost discipline, and the gradual hand‑off to your in‑house team.
Evaluation harnesses, fine‑tuning pipelines, distillation, structured generation, agentic graphs.
Multi‑tenant primitives, async job graphs, idempotent ingestion, audit‑grade event logs.
SLOs, error budgets, chaos testing, blue/green & progressive delivery, incident playbooks.
Per‑request unit economics, model routing, prompt caching, infra rightsizing, FinOps.
You have an AI feature that demos well but isn’t dependable enough to put in front of users. We add the evaluations, guardrails, observability and cost discipline that turn a promising demo into something you can actually ship.
From an idea or a rough prototype to a production‑ready v1 — design, frontend, backend and infrastructure handled by one accountable team shipping every week, instead of a chain of hand‑offs.
When an existing product buckles under load or cost, we instrument it, find the real bottlenecks, and refactor toward latency, reliability and unit economics you can defend.
Embedded with your team to scope what’s worth building, de‑risk the hard parts, and leave your engineers owning more capability than when we started.
Tell us what you're building. We respond within 24 hours, and we either say "yes, here's how" or refer you to someone who fits better.