AI and software, built like products.
We automate work with AI, launch agents, ship new software and keep it running, with the same team and standards behind our own products.
01 · Work that runs itself
AI Automation
Invoices, emails, leads, support tickets, reports, data entry. We map your workflows, pick the steps worth automating, and build pipelines that read documents, make decisions and update your tools, with logging, approvals and fallbacks so nothing fails silently.
- Invoice PDF lands in email
- AI reads & checks it
- Entered in Tally / ERP
- You approve the odd ones
What you get
- 01Workflow audit with ROI estimate
- 02Document & email processing (OCR, extraction, classification)
- 03CRM, ERP, WhatsApp and Slack integrations
- 04Human-in-the-loop approvals and audit logs
- 05Monitoring, alerts and monthly tuning
- n8n
- Make
- Zapier
- Python
- Node.js
- Supabase
- WhatsApp API
02 · Assistants that actually know your business
AI Agents & LLM Apps
We build AI products and internal assistants that are grounded in your data: customer-support agents, sales assistants, knowledge search over company documents, voice agents for calls, and agentic workflows that call your APIs. Every build ships with evaluations, guardrails and cost controls.
- Customer asks on WhatsApp
- Agent searches your docs
- Answers, books or updates
- Hands off to a human
What you get
- 01Customer-support and sales agents (web, WhatsApp, voice)
- 02RAG / knowledge search over your documents
- 03Tool-using agents connected to your APIs (MCP)
- 04Evals, guardrails and cost monitoring
- 05AI features inside your existing product
- Claude
- OpenAI
- Gemini
- Open-source LLMs
- AI SDK
- pgvector
- MCP
03 · From idea to shipped product
Product Engineering
We take products from a sketch to the App Store or production: product design, MVPs, SaaS platforms with billing and auth, mobile apps and native Mac apps. You get the same stack and standards we use for mactooloud, Pluto Door, Sticklly and ProHomeo.
- Sketch & scope
- Clickable prototype
- MVP with real users
- App Store & production
What you get
- 01Product design, UX and design systems
- 02MVPs and SaaS platforms (auth, billing, dashboards)
- 03iOS & Android apps (React Native / Expo, native)
- 04Native desktop apps: macOS (SwiftUI), Windows and Linux
- 05Marketing sites with technical SEO
- Next.js
- React
- TypeScript
- SwiftUI
- React Native
- Expo
- Tailwind
04 · The foundations, handled
IT Services & Cloud
We design and run the infrastructure behind your software: cloud setup and migration, CI/CD, databases, performance tuning, security reviews and ongoing maintenance retainers. Clear SLAs, documented systems, no lock-in.
- Code pushed
- Tests & security checks
- Deployed to the cloud
- Watched, with alerts
What you get
- 01Cloud architecture and migration
- 02CI/CD, monitoring and incident response
- 03Database design and performance tuning
- 04Security reviews and hardening
- 05Maintenance & support retainers
- Vercel
- AWS
- Google Cloud
- Supabase
- Postgres
- Docker
- GitHub Actions
Engagements
Three ways to start.
- 012–6 weeks · fixed scope
Pilot
One workflow or feature, built on your real data, with a clear yes-or-no at the end.
Best for · Trying AI for the first time
- 02Milestones · 2–4 weeks each
Build
A product or platform built in milestones, with weekly demos and a shared repo from day one.
Best for · New products and big features
- 03Monthly
Keep lit
Monitoring, fixes, tuning and small improvements, with a team that already knows the system.
Best for · Anything already live
Process
How we work.
01 · Week 0
Discover
A free 30-minute call. We learn the problem, the data and what success looks like.
02 · Weeks 1–3
Prove
A fixed-scope pilot on one real workflow or feature, measured, not guessed.
03 · Milestones
Build
Weekly demos, a shared repo, clear milestones. You see progress, not status reports.
04 · Ongoing
Keep lit
Monitoring, tuning and support so it keeps getting better after launch.
Q · Questions
Good questions.
AI workflow automation (documents, email, CRM, WhatsApp), custom AI agents and chatbots, retrieval-augmented generation (RAG) over company knowledge, voice agents, and adding LLM features to existing products. We work with Claude, OpenAI, Gemini and open-source models.
Most single-workflow automations go live in 2–6 weeks, including a pilot on real data. Larger agent or product builds are planned in 2–4 week milestones.
We design for privacy from the start: least-privilege access, no training on your data, enterprise LLM endpoints with zero data retention where available, and self-hosted or open models when data must stay in your infrastructure.
We pick per job: Claude, OpenAI and Gemini models for reasoning and language, open-source models for private or low-cost workloads, and tools like n8n, Make, the AI SDK, MCP, Supabase and pgvector to connect them to your systems.
Yes. We work remotely with startups and businesses in India and around the world, with overlapping hours for US, UK, European and Middle-East time zones.
We start with a short discovery call, then a fixed-scope proposal. Most AI automations go live in 2–6 weeks; product builds are planned in milestones. After launch we offer maintenance retainers so the system keeps improving.
Got a byte of an idea? Let's make it light.
Tell us what you want to build or automate. We reply within one working day with honest next steps.