SERVICES · FULL-STACK AI

Entire AI products, one team.

Backend, frontend, infra, design. For founders and CTOs who need a product, not a notebook. Shipped 14 AI-native products to date.

14PRODUCTS SHIPPED
6 wksAVG TIME-TO-MVP
4MEDIAN TEAM SIZE
9LIVE AS ACQUIRED PRODUCTS

One team, model to pixel.

Most agencies hand off between backend, frontend, and ML teams. We don't. A Mindlytic product team has one AI engineer, one full-stack engineer, one designer, and a delivery lead — all senior — and they own the product end-to-end. No Slack channels between teams that need to ship together.

We've built AI-native SaaS in legal, construction, healthcare, and finance. We ship to your infra or ours. We hand off a codebase, a runbook, and a hiring plan when you're ready to take it in-house.

A stack we've battle-tested.

01

Frontend

React, Next.js, TypeScript, TanStack, shadcn/ui — type-safe to the DB.

02

Backend

FastAPI, Fastify, Go. REST, tRPC, GraphQL — pick by team fit.

03

Data

Postgres + Drizzle / Prisma. Redis for cache + queue. S3 for blobs.

04

Infra

AWS, GCP, Fly.io, Vercel. Terraform for anything persistent.

05

Design

System-first. Tokens, components, docs — handed off in Figma + code.

06

DevEx

CI, preview deploys, feature flags, trunk-based development.

07

Observability

Sentry, Datadog, LangSmith — correlated traces across stack.

08

Security

SOC 2 controls from day one; auth, audit log, secret rotation.

09

Growth

Analytics, experimentation, product-led onboarding wired in.

Reference stack.

A sane, boring, modern stack. We deviate only when a project genuinely needs it.

  • →Frontend: Next.js 15 App Router + TanStack Query + Tailwind + shadcn.
  • →API: FastAPI or Fastify with typed schemas end-to-end.
  • →AI runtime: our agent library, LangGraph or bespoke per case.
  • →Data: Postgres (Supabase/Neon) + pgvector + Redis.
  • →Infra: Fly.io or AWS ECS with Terraform, GitHub Actions CI.

Where we've deployed it.

ORBIT LEGAL
9 mo
Zero to acquisition from a 4-person Mindlytic squad.
CADENCE AI
3 wks
MVP shipped, demo day, seed round closed.
KEYSTONE BUILD
$2.1M
ARR on a product we built in 14 weeks.

How we'd scope this for you.

WEEK 0
Scope
2-week discovery sprint: audit, prototype, written scope.
WEEK 1–6
Build MVP
Working product in your domain, in your infra.
WEEK 7+
Iterate
Weekly shipping, user research, feature flags.
HANDOFF
Transfer
Codebase, docs, hiring plan — we leave when you're ready.

Ready to ship full-stack ai products?

We'll scope your first use case in a 30-minute call and come back with a written proposal within 72 hours.

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