
AI integration
LLMs, RAG and agents wired into your existing product and systems, without an ML hire.
- + Fits your current stack, no rewrite
- + Evals and guardrails from day one
- + Handover with docs
$integrate --ai --into your-systems
We integrate AI into your existing systems and data, automate the busywork, and build the software around it.

What we do
The problem
and the outcome
You have a problem. You want an outcome. Everything we do starts from that gap.
You have
AI is on the roadmap, but your systems and team aren't set up for it.
You want
AI working inside the product and data you already have, in weeks.
You have
Leaders wait days for an analyst to pull a number.
You want
Plain-English questions answered in seconds, safely.
You have
Manual processes, or a product idea, waiting on engineering time.
You want
Reliable automation or a built product, delivered by engineers who own it end to end.
AI first, engineering always. We take a project from idea to production, whether AI is the whole thing or one part of it.

LLMs, RAG and agents wired into your existing product and systems, without an ML hire.

Manual, repetitive processes turned into reliable automations across your tools.

Put AI on top of your data: plain-English questions, dashboards and reports your team can trust.

Web apps, APIs, backends and business systems such as CRMs and ERPs, built end to end with or without AI in them.

A 1–2 page written report: three ranked opportunities and a first step.
Two of our own builds, shown honestly. They show how we work, not the limit of what we take on.

Internal accelerator · Automation
Clients describe needs in business terms, but workflows are filed by tool. We hold a searchable baseline of ready-to-adapt patterns, so we start from a close match instead of a blank canvas.
Indexed with full-text search and tagged by trigger type and complexity. We pick the closest pattern for your problem and extend it, or build from scratch if yours is new.

In development · Analytics
Leaders wait on analysts for numbers. Compass takes a plain-English question, writes one guarded SQL query, runs it through a read-only role, and answers with a chart and a short explanation.
Least privilege by design: the model sees only an allow-listed slice of your schema, and every query runs through a SELECT-only role on those tables, validated and logged.
Compass in motion
Ask in plain English. Compass writes one read-only query, validates it, runs it through a restricted database role, and returns a chart with a short explanation grounded in the actual rows.
Now building
We build in the open. Have a hard problem you'd like us to look at?
demo lab
Two of our builds, made interactive. Both run on synthetic or sample data and are labeled as such.
Loading demos…
Utmost care goes into every piece of work we deliver. This is how an engagement runs, from the first call to support after launch.
01
A free call or the audit. We learn the problem, the data and the constraints.
02
Fixed milestones, written down before any work starts.
03
Weekly demos, so you see real progress and can steer.
04
Handover, documentation and a walkthrough for your team.
05
An optional retainer for ongoing AI work after launch.
Risk reversal
Every project is scoped and quoted after we understand it.
Quoted
Scoped and quoted after a call or audit. Milestone-based payments.
Practical writing on adding AI to real systems, and on building the software around it.
All articles
Eight questions that separate people who ship AI features from people who demo them.
Hiring · 2 min read

A practical shape for introducing LLM features into a product that already works.
AI integration · 2 min read

Why asking a model to 'only write SELECT' is not a security control, and what to layer on top.
Data · 2 min read
Abishek and Vishalini take on the whole job together: integrating AI into your product and data, automating the workflows around it, and building the software behind it, from CRMs and ERPs to APIs, cloud deployment and DevOps. You work directly with the people who do the work.

Co-founder · Software engineer

Co-founder · Software engineer
Every engagement is quoted after a discovery call or the free audit. We price per milestone, agree it in writing before work starts, and avoid hourly surprises. A small paid pilot milestone is available to de-risk the start. Quotes are in USD.
We aim for weeks, not quarters. You get a milestone plan with dates after the discovery call, and a working demo every week.
We work IST and arrange overlap windows for US, EU, GCC and APAC. The booking page shows times in your own time zone.
You do. IP is handed over on final payment, as set out in the written agreement.
Yes, on request, before you share anything sensitive.
Our public demos run on synthetic data only. For client work, we design for the least access needed: read-only database roles, schema allow-lists, query validation, row limits and an audit log.
In USD, by milestone, as set out in the written agreement.
We use AI tools to move faster, and an engineer reviews and owns everything that ships.
You get documentation and a handover walkthrough. If you want ongoing work, a monthly retainer is scoped to your needs.
Work far from our core: AI, automation, data and software engineering. If something isn't a fit, we'll say so on the first call and point you elsewhere.
contact
Talk to us now, or send a short brief and get a written audit.
A relaxed call to understand your problem. You see times in your own time zone.
We work IST, with overlap windows for US, EU, GCC and APAC. Trouble loading? Open the booking page.
Within 2 business days: a 1–2 page report with three ranked opportunities, rough scope and a first step.
What happens next
We take 3 free audits a month, so slots are limited.