What we do

Six things,done deeply.

We're a small studio. We pick the work we're best at and go deep, instead of selling everything to everyone. These are the six engagements we take on — and how we run them.

Capacity

We take on three projects per quarter. Pricing is fixed-scope or retainer, never per-hour.

01 · Services

The six.

Each is a real engagement we've run end-to-end. The typical-result line is what we've actually delivered, not a marketing target.

  • 01

    AI Workforce Architecture

    Multi-agent systems that research, draft, review, deploy, and iterate without human babysitting. We design the topology — which agent owns what, where humans stay in the loop, how it stays observable when it scales.

    Typical result40-person team output, 3-person cost

  • 02

    Workflow Automation

    The thing your team does 200 times a day, done zero times — because a machine does it now. End-to-end pipelines with error handling, retries, and dead-letter queues that your previous devs left out.

    Typical result2,400 hours/year recovered per workflow

  • 03

    Full-Stack Product Development

    From PostgreSQL schema to a deployed product in weeks, not months. Production-grade SaaS, internal tools, and platforms built on battle-tested stacks. Ship-ready code, not a throwaway prototype.

    Typical resultMVP to production in 2–4 weeks

  • 04

    ERP & Business Systems

    ERP built for how your business actually works. Inventory, invoicing, job tracking, multi-role access — not a bloated SAP clone. Lean, fast, GST-native, and shaped around your floor, not the other way around.

    Typical result80% reduction in manual data entry

  • 05

    Security & Reverse Engineering

    We break things so nobody else can. Binary analysis with Ghidra, dynamic instrumentation with Frida, penetration testing, and defensive architecture. Used inside our own products, offered to clients who need it.

    Typical resultZero critical vulnerabilities post-audit

  • 06

    AI-Powered Growth Engine

    Content that writes itself. Campaigns that tune themselves. YouTube automation, Instagram automation, bulk outreach — we wire AI into your marketing stack rather than bolting another dashboard onto it.

    Typical result3.2× revenue, 60% less ad spend

02 · How we work

Four steps,
no theatre.

The shape stays the same whether the engagement is a two-week sprint or a six-month build.

  1. 01

    Diagnose

    We audit the stack, workflows, and bottlenecks. Most companies bleed time and money in places they can't see. We find them, write them down, and price them.

  2. 02

    Architect

    We design the system — not just the code, but the topology. Which agent handles what, where humans stay in the loop, how the thing survives 100× volume without rewriting.

  3. 03

    Build

    Production-grade from day one. No throwaway prototypes. Tested, documented, monitored, and designed to survive contact with real data and real users.

  4. 04

    Deploy & disappear

    We hand over a system that runs itself — with docs, monitoring, and an operator runbook. Then we step back, until you need the next unfair advantage.

03 · Arsenal

The stack
we reach for.

Picked, not collected. We'd rather know four tools deeply than forty shallowly.

AI & LLM

  • Claude
  • GPT-4
  • Gemini
  • LLaMA
  • LangChain
  • CrewAI
  • MCP Protocol
  • RAG
  • Fine-tuning
  • Embeddings

Automation

  • n8n
  • Make
  • Custom agents
  • MCP servers
  • Frida
  • Playwright
  • Puppeteer
  • Cron pipelines

Languages & frameworks

  • TypeScript
  • React
  • Next.js
  • Angular
  • Node.js
  • Python
  • Rust
  • Go
  • FastAPI

Infrastructure

  • PostgreSQL
  • Redis
  • Docker
  • nginx
  • Ubuntu
  • Cloudflare
  • Supabase
  • VPS

04 · Common questions

The bit before
the email.

The questions we get most often, answered honestly. If yours isn't here, write to us — we reply within two working days.

  • Fixed-scope or monthly retainer, never per-hour. A two-week sprint and a six-month build both get a written scope, a written number, and a payment schedule tied to milestones. If the scope changes mid-flight, we re-quote in writing before we touch the code.

  • Two weeks for a focused sprint (an automation pipeline, a workflow rebuild, a security audit). Four to eight weeks for an MVP shipped to production. Three to six months for a full ERP or multi-tenant platform. We send a weekly status note every Friday so nothing surprises you.

  • Code, deployment, monitoring setup, a written operator runbook, and one round of post-launch fixes for anything we shipped broken. Domain costs, third-party SaaS subscriptions (Sentry, Cloudflare, etc.), and ongoing hosting are passed through at cost.

  • Design exploration past two rounds, copy-writing, content creation, ongoing operations after the handoff window, and integrations with software we haven't quoted for. If you need those, we'll either fold them into the scope upfront or point you at someone better.

  • Yes. The studio is based in India and most of our shipped work is for Indian SMBs, but the stack and the process travel. We've built systems for clients in the US and EU. Time zones are async-first; expect a 24-hour reply window outside Indian working hours.

  • Yes, before any scoped conversation. We'll send ours (a one-page mutual) or counter-sign yours within a day. We don't share client names without permission and we don't reuse client code or schemas across engagements.

  • Either. We've slotted in next to in-house engineers as a deep-stack pair, and we've taken full ownership of greenfield builds. What we don't do is run sprint ceremonies for a team we aren't part of — that's not where our value lands.

  • Cancellation clause is in every scope: either side can end the engagement at a milestone boundary with the remaining balance pro-rated. You keep the code, the schemas, the runbook, and the deployment access. We don't hold infrastructure hostage.