About Valistry
AI will not scale sustainably until its value becomes accountable.
Enterprises are moving from isolated AI tools to portfolios of models, agents and applications. The spend is spreading faster than anyone's ability to account for it.
Why Valistry
We have watched this film once already.
Eleven years at AWS, through cloud’s own adoption curve: enterprises bought first and learned to run the economics second. Cost was the first question after adoption and the loudest one for a decade.
The same curve is running again for AI, faster, and at people with less time to answer. The rollout is approved, the bill arrives, and somebody clamps down the week after.
Cloud cost tools were built around infrastructure. The bill is only the beginning of the answer.
Hypothesis
AI adoption keeps growing, and so does the need to prove its value.Every agent an enterprise adds is spend somewhere it cannot yet place. Clarity on where the money goes and what it returns is what lets adoption keep going.Vision
Every AI investment realizing its full value.Enterprises knowing what each dollar bought, who it belongs to and what it produced, so nothing is spent on faith.Mission
Enable enterprises to adopt AI with confidence in every dollar.One reconciled ledger from the provider bill to the business outcome, with the owners, boundaries and evidence that keep blind spots and surprises out.What we hear in the room
The same three conversations, in every rollout.
Not research. What the founder hears selling AI into enterprises, and the reason this company exists.
Excitement, then a clamp-down
The rollout is approved, the bill arrives, and usage is cut back the week after. Nobody wanted that trade, and nobody had the number that would have avoided it.
Spend nobody owns
Usage no team claims, or pointed at work the business never asked for. Less abuse than the absence of an owner.
A start that never happens
Several tools, APIs and projects, some of them nobody approved, and no grip on the total. Waiting starts to look like the safe decision.
Every one of them is a visibility problem before it is a cost problem.
Operating principles
Four rules, before any feature.
They are the reason a number on a Valistry screen can be signed.
01
Value before cost
The cheapest model is not automatically the best business decision.
02
Evidence before claims
A saving becomes real only after the implemented change is measured.
03
Unknowns stay visible
Credibility is worth more than false precision.
04
Control enables speed
Clear ownership and boundaries let teams adopt AI with confidence.
Founder and CEO
22+ years across AI, cloud infrastructure, startups and venture capital.
Gaurav Arora
- Co-founder and CTO of VedicSync.ai, a Vedic Intelligence startup.
- Led the global Partnerships and Startup business at DevRev, a leading GenAI startup valued above $1 billion at Series A.
- Scaled the Startup Business from inception to more than $1 billion of annual revenue for AWS, with a team of over 400 across Asia Pacific and Japan.
- Venture capitalist at Prime Ventures, EMEA.
- Eight years of engineering at AMD, as a founding member of its India operations, and at Texas Instruments.
- IIT Delhi graduate and Cambridge MBA.
We are building the discipline behind accountable AI value.
We read usage metadata only, never prompts. If you are responsible for the economics of enterprise AI, we would like to learn how you manage it today.