Build once · Scale forever
AI · Software · Automation

Build the systems your business runs on. Own every line.

Two senior AI engineers who ship production systems — agents, software, and automation that pay for themselves. Built once, on infrastructure you own, so scaling never means a bigger invoice.

Available for new builds Currently building graph8's AI platform Ship in weeks, not quarters
f/1.4  ·  full stack  ·  in focus
Proven in production  ·  the stack we build on
LangGraphn8nMCPFastAPINext.jsVapi · RetellRAG · Vector DBsPostgresDockerAWS · GCPReact NativeStripe
What we build

Four things, done at senior level.

No offshore ticket-shufflers, no template farms. Two engineers who build AI-native platforms in production every day — pointed at your problem.

AI Agents & Assistants

Agents that do the work, not just chat

  • Voice agents for support & sales (STT/TTS, Vapi, Retell)
  • RAG chat agents on web, WhatsApp & Slack
  • Internal copilots trained on your docs & data
  • Agentic workflows that take real actions (LangGraph)
AI-Native Infrastructure

Make your product agent-ready

  • MCP servers — let Claude, ChatGPT & Cursor drive your app
  • Public APIs & SDKs (JS/TS, Python) developers actually use
  • RAG pipelines, vector search & knowledge bases
  • Model integration, fine-tuning & self-hosted LLMs
Custom Software & Web

Products shipped to production

  • Full-stack web apps (Next.js + FastAPI / Python)
  • SaaS MVPs — from idea to live in weeks
  • Internal tools, dashboards & admin panels
  • Mobile (React Native) & payments (Stripe, PCI-DSS)
Automation & Ops

Automation you own, end to end

  • Business process automation across all your tools
  • CRM / GTM data sync, enrichment & lead pipelines
  • Scheduled jobs, webhooks & human-in-the-loop approvals
  • Cut Zapier / Make costs with self-hosted n8n you own
How we work — build once, scale forever

Three steps. Then it's yours.

01 / Map

We find what's bleeding time and money

A focused audit of your stack and workflows. You leave with a system design and a fixed quote — before you commit to a build.

02 / Build

Senior engineers ship in weeks

Production-grade code on infrastructure you control. Tested, documented, and demoed as we go — no black boxes, no surprises.

03 / Own

You get the keys — code, servers, docs

No lock-in, no per-seat tax, no rented automations. Run it yourself, or keep us on retainer. Either way, it's yours.

Who you're hiring

You work directly with the people who build it.

No account managers, no hand-offs to juniors. Two engineers who build AI systems in production every day.

HA
Huzaifa Aamir Nawab
AI Apps Lead · Agents & Backends

Builds the agents and the backends they run on. Ships voice & chat agents, RAG systems, and the scalable FastAPI infrastructure behind them — and has led the teams that deliver them.

  • NowAI Apps Lead @ graph8 — LangGraph voice & chat agents, real-time pipelines
  • BeforeAI/ML Engineer @ Prompt Advisers · Lead Engineer over a 20+ person team
  • SchoolBS Computer Science, GIK Institute
LangGraphRAGFastAPIVoice / STT·TTSNext.jsAWS · GCP
HN
Hamza Najib
AI Engineer · Platforms & Infra

Turns products into platforms that agents can drive. Built the programmatic layer — MCP server, public API, SDKs — that made a UI-only SaaS controllable end-to-end by Claude, ChatGPT and Cursor.

  • NowAI Engineer @ graph8 — shipped 250 agent tools, 280+ API endpoints, a visual workflow builder
  • BeforeSolution Developer @ Autify — payments, 3DS & PCI-DSS · Software Engineer @ Tintash
  • SchoolMSc Computer Science, University of Nottingham
MCP / FastMCPSDK & API designPython asyncPaymentsPostgresReact
AI agent tools shipped to production at graph8
Public API endpoints designed & hardened
Faster load times delivered on past product work
Typical automation-cost cut with self-hosted n8n
Let's build
Build once.
Scale forever.

Tell us what you're paying too much for, doing by hand, or wish existed. We'll come back with a plan — and a fixed price — inside a week.

Or email us directly — hello@allstacklabs.com