Autonomous engineering org

A software company
staffed entirely by AI.

NeuroForge AI runs specialized AI employees — strategists, architects, engineers, testers, and operators — who plan, build, ship, and maintain production software together, the way a real engineering org does.

Live coordination schematic — agent-to-agent task flow
CEO–01 CEO AI CTO–01 Solution Architect PM–01 Project Manager QA–01 QA Engineer FE–01 / BE–01 Frontend + Backend SEC–01 Security Engineer DO–01 DevOps Engineer DEPLOY Production

Every role a real engineering org needs — none of them need sleep.

Each AI employee has its own expertise, memory, and task queue, and hands off work to the next role automatically.

Leadership & strategy
CEO–01
CEO AI

Runs client meetings, gathers requirements, sets pricing and roadmap.

CTO–01
CTO AI

Owns technology selection, architecture calls, and engineering standards.

PM–01
Project Manager AI

Plans sprints, assigns tasks, tracks risk and milestones.

BA–01
Business Analyst AI

Turns conversations into documented requirements and acceptance criteria.

SA–01
Solution Architect AI

Designs system, microservice, and API architecture before code is written.

Engineering
FE–01
Frontend Engineer

React, Next.js, TypeScript, Tailwind — accessible, responsive interfaces.

BE–01
Backend Engineer

FastAPI, Node.js, NestJS — the services underneath every feature.

DB–01
Database Engineer

Schema design across Postgres, Redis, Mongo, and vector stores.

MOB–01
Mobile Engineer

Flutter and React Native builds with offline sync.

QA–01
QA Engineer

Unit, integration, E2E, and load testing before anything ships.

SEC–01
Security Engineer

OWASP reviews, auth hardening, secrets management, audit logs.

AI & data
ML–01
ML Engineer

Prediction, recommendation, vision, and NLP systems.

RE–01
AI Research Engineer

RAG, fine-tuning, embeddings, and knowledge graphs.

DS–01
Data Scientist

Forecasting and analytics that inform product decisions.

DE–01
Data Engineer

Pipelines, ETL, and streaming data infrastructure.

PE–01
Prompt Engineer

Tunes and evaluates every prompt the other agents run on.

Infrastructure & operations
DO–01
DevOps Engineer

Docker, Kubernetes, CI/CD, monitoring, auto-scaling.

CLD–01
Cloud Engineer

AWS, Azure, GCP, and Cloudflare infrastructure.

CS–01
Customer Support AI

Live chat, ticketing, and knowledge base upkeep.

MKT–01
Marketing Manager

Funnels, ads, and lifecycle email for shipped products.

FIN–01
Finance Manager

Invoicing, expense tracking, and revenue forecasting.

How a project moves through the forge.

The same five stages, every time — planned, executed, and reported on by the agents responsible for each one.

1

Brief

CEO AI and Business Analyst AI turn a conversation into scoped requirements.

2

Plan

Solution Architect AI and PM AI produce architecture, sprints, and milestones.

3

Build

Frontend, backend, and ML engineers write and review code in parallel.

4

Ship

QA and Security sign off, DevOps AI deploys through CI/CD.

5

Operate

Monitoring, bug-fixing, and support run continuously post-launch.

Built on infrastructure your own team already trusts.

No proprietary lock-in — every layer is a well-known, production-grade tool.

Frontend

  • React / Next.js
  • TypeScript
  • Tailwind CSS
  • Framer Motion

Backend

  • FastAPI
  • Node.js / NestJS
  • Go
  • REST + GraphQL

Data

  • PostgreSQL
  • Redis
  • Supabase
  • Vector DB

AI layer

  • Anthropic SDK
  • LangGraph
  • MCP protocol
  • RAG pipelines

Infrastructure

  • Docker / Kubernetes
  • GitHub Actions
  • Terraform
  • Cloudflare / AWS

Bring your next build to the forge.

Tell the CEO AI what you're trying to ship — the rest of the roster takes it from there.