Too much data? We turn it into profit.
By bringing it together, showing what is really happening in your business, and building AI that helps you grow without adding headcount.
Sized in Prep, tracked with you every month.
Not ready to book? Ask Priya
“What would you fix first for a company like ours?”

What actually changed for our clients
Every published result, against the 3× promise.
Return measured on the client's own numbers over the months shown. Tap a bar to read the case.
- StockJarvis · Trading12 months15×
- B2B SaaS12 months9.6×
- Data foundations · Mid-market8 months7.8×
- Retail · APAC9 months6.2×
- Manufacturing · Process plant11 months5.2×
- Fintech · Series C6 months4.8×
- Design Asylum · Studio10 months3.4×
- Public sector12 months3.1×
The 3× line is our promise: at least 3× within 12 months of delivery.
A clear direction first. Then a measured return on every use case.
Most partners start with discovery. We start with a working stack.
- ✓Lineage and policy checks
- ✓Graded AI evaluation sets
- ✓Confidence scores and a kill switch
- ✓KPI and decision templates
- ✓[More frameworks to list]
Govern makes the data trustworthy, Know turns it into decisions, Act puts AI to work on them. That order is the strategy.
Learn more about the strategy →A smart and lean team in Pune, India, working globally. You'll know everyone's name.
Do we need a data team already?+
No. We start with the tools, spreadsheets and systems you already use.
How is the 3× return measured?+
Per use case, against your own numbers, agreed in writing and reviewed with you monthly for 12 months.
Can we keep Excel and our existing tools?+
Yes. We connect and improve the current stack before replacing anything.
What does Prep cost?+
Prep is fixed-fee. Everything after it is scoped and priced up front, never billed by the hour.
How much of our team's time does it take?+
A few working sessions during Prep. The build runs on a pod of three on our side.
Which AI models do you build on?+
Anthropic's Claude, directly, as a Certified Services Partner in the Claude Partner Network.
Show 6 more questions ↓Show fewer ↑
Is our data used to train a model?+
No. Never ours, and never anyone else's.
Do you work in our industry?+
We have published work in financial services, retail, B2B SaaS, public sector, manufacturing and professional services.
Do we need to change everything at once?+
No. We start with one important area and expand after it works.
What happens if we stop after Prep?+
You keep the one-pager: what is broken, what it costs, and the plan.
Do you also train our team?+
Yes. Adoption is part of the work.
What happens after the six weeks?+
Quarterly reviews and on-call governance. We stay reachable, not embedded full-time.
Talk for a minute. We'll take it from there.
Say what's slowing you down, where the data lives, and what a win would look like.







