Grounded LLM assistants
Chat and search across your own documents, tickets and product data. Answers cite their source so your team can verify them, and the assistant says “I don’t know” instead of inventing.
We embed AI where it removes real work — not where it looks impressive in a demo. LLM assistants, document and workflow automation, and predictive analytics, built into the systems your team already uses.
Most AI projects fail for an unglamorous reason: they start from the technology instead of the workflow. We start the other way round. On the discovery call we map where your team actually loses hours — quotes retyped into an ERP, emails triaged by hand, reports assembled every Monday morning — and we tell you honestly which of those an AI system can take over, and which is better fixed with a simple automation or a cleaner process.
What ships is a working system, not a proof of concept: assistants grounded in your own documents and data, automations with human approval steps wherever the cost of a mistake is high, and monitoring so you can see what the system did and why. You own the code, the prompts, the model configuration and the accounts it all runs on.
Chat and search across your own documents, tickets and product data. Answers cite their source so your team can verify them, and the assistant says “I don’t know” instead of inventing.
Purchase orders, invoices, quotes and inbound email parsed into structured records and pushed into your ERP, CRM or sheets — with edge cases routed to a human.
Forecasting and scoring on the data you already collect — demand, churn risk, lead quality — delivered as dashboards and alerts rather than a notebook nobody opens.
A written assessment of your data, systems and workflows: what is worth automating now, what needs cleaner data first, and what would cost more than it saves.
Chosen per project — we pick the boring, production-proven option unless there is a reason not to.
Workflow audit and data mapping. You get a written roadmap with scope, phases and a fixed itemised quote — free, and yours to keep whoever you build with.
Build and integrate: models, prompts, retrieval and the connections into your existing systems. A working demo every week.
Approval flows, accuracy testing against your real data, rollout and team training. Full handover of code and credentials.
These bands say roughly where a conversation lands before you have it.
₹75k–₹1.5 L
~2 weeks
One painful workflow, automated or rebuilt, fixed price. You keep everything we build and judge us on something low-risk.
₹1.5 L–₹8 L
4–10 weeks
A complete system — a CRM, a website, an automation layer or an API — scoped, built and handed over with training.
₹8 L+
3–6 months, phased
ERP-scale work rolled out department by department, with a care plan that keeps it monitored and improving after launch.
Indicative ranges, not quotes — your fixed itemised quote is prepared free after the discovery call, and milestone payments mean you never pay a large lump sum upfront.
Not achievements we claim — terms we work under. Every one of these appears in your quote.
Full source, documentation, credentials and deployment access are yours at launch. Any team can take over.
Every message answered within one working day, by a founder — not a ticket queue.
Working software on a screen within the first week, then a demo every week after.
Milestone payments, no retainer traps, no ransom on your own data. Leaving must always be easy — that’s how we intend to keep you.
Sometimes no, and we will say so. Plenty of businesses get more value from a clean CRM, one well-placed automation or a faster website. The discovery call ends with our honest recommendation even when it is “not yet” — telling you the cheapest path to your goal is how we earn the larger project later.
No. We build on enterprise API tiers where your inputs are not used for training, and where you prefer it the whole system runs in your own cloud accounts so the data never leaves your control. An NDA is signed before you share anything sensitive.
We design for it. Anything with a real cost of error gets a human approval step, every action is logged with the reasoning behind it, and confidence thresholds route uncertain cases to a person instead of guessing. Accuracy is measured on your own data before rollout, not promised in advance.
A single automated workflow runs as a fixed-price pilot, typically ₹75k–₹1.5 L over about two weeks. A fuller build — an assistant grounded across several systems, or automation with approval flows — usually lands between ₹1.25 L and ₹3.5 L for a small team, scaling with team size. You get a fixed itemised quote after the free discovery call, split across milestones so you pay as working software is delivered.
Book a free discovery call. No sales pitch — just an honest technical conversation about your goals.
Book a Free Discovery Call (opens in new tab)Every call ends with a written summary of what we’d build and roughly what it would cost — yours to keep, whoever you build with.
Tell us about your project — a quick call is free, and so is the written plan that follows it. We reply within 24 hours.