Capabilities
What we build.
Five clusters, one substrate. Everything here rests on retrieval, evaluation and systems that hold state correctly — which is why we can do all of it well rather than some of it loudly.
01 — AI Engineering
AI Engineering
Systems that think, retrieve and act — built to hold up in production.
AI Web Development
AI-powered web applications: streaming interfaces, in-app retrieval, cost control and evals in CI.
AI App Development
Mobile and cross-platform apps with AI at the core, not bolted on afterwards.
Custom Software Development
Line-of-business systems built to your process, owned outright by you.
AI Agent Development
Agents that take actions, with approval gates, run traces and idempotent retries.
RAG & LLM Integration
Retrieval that cites its sources, measured with a real evaluation harness.
AI PoC & MVP Development
A working AI product in weeks, scoped to prove one thing to investors or users.
Data Engineering for AI
The pipelines and quality layer every AI project stalls on.
AI Consulting & Readiness Assessment
A paid diagnostic that tells you what is worth building and what is not.
02 — AI Automation
AI Automation
Work that runs itself, with the observability to prove it did.
AI Voice Agent Development
Voice agents that handle calls in Hindi, Marathi, Tamil and English.
WhatsApp Business API & CRM Automation
The implementation layer above WhatsApp Business API, where the SaaS tools stop.
AI Workflow Automation (n8n)
n8n and custom workflows engineered so they do not fail silently at 3am.
AI Appointment & Reminder Systems
Booking, reminders and no-show recovery, running on WhatsApp and voice.
03 — Growth & Search
Growth & Search
Visibility in Google and in the answer engines that increasingly replace it.
SEO Services
Engineering-led SEO: crawl budget, rendering, structured data, Core Web Vitals.
AI Search Visibility (AEO & GEO)
Getting cited by ChatGPT, Perplexity and AI Overviews — measured, not promised.
Performance Marketing & PPC
Paid acquisition run against contribution margin, not vanity ROAS.
Digital Marketing Services
The full growth stack, coordinated rather than sold in disconnected retainers.
04 — AI Media
AI Media
Video and creative production pipelines, not one-off assets.
05 — Platforms & Verticals
Platforms & Verticals
Deep builds for learning, robotics and vision.
eLearning & LMS Development
Custom LMS and adaptive learning platforms that scale past the off-the-shelf ceiling.
Robotics Software Development
ROS, SLAM, sensor fusion and fleet management. Software, not hardware.
Computer Vision & Automation
Inspection, counting and tracking systems that work in real warehouse lighting.
Before you pick one
Most of these overlap. If you are not sure which applies, the shortest route is a scoping call — but there is reading first if you would rather form your own view.
Our notes from the build cover the parts that decide whether any of this works: why chunking beats model choice in most retrieval systems, what an evaluation harness actually has to contain, where voice pipelines break on Indian code-switching, and what DPDP and RBI ask of a system that calls an external model. Engagement models explains how the work is structured and paid for, the FAQ covers cost, timelines, IP ownership and data residency, and what AI development costs in India sets out what moves the number.
If you would rather start from your sector than from a service, three of them have their own pages, because the constraints differ more than the technology does: AI for banking and financial services, where the binding requirement is provenance and refusal; AI for logistics and supply chain, where it is per-field extraction accuracy on documents nobody designed to be read by a machine; and AI for media and advertising, where most of the win is in version control and approval routing rather than generation.
Not sure which of these you need?
Tell us what you are trying to build. We will tell you honestly whether we are the right team for it, and what it would realistically take.