About Kriv AI
The person you meet does the work.
Kriv AI is a practitioner-led AI implementation and governance firm. No bench of juniors behind a partner's business card — assessments, builds, and training are delivered by the people who answer the phone, for organizations where mistakes aren't an option.
30 minutes. A practitioner answers — no sales reps.

The short history
2025
Founded in East Brunswick, NJ — a practitioner-led firm from day one
56
Live AWS Marketplace listings — every service productized, priced, public
4
Regulated verticals served: healthcare, life sciences, insurance, finance
Abhinav Dangri
Founder & CEO
NYU alumnus · East Brunswick, NJ
The founder
Hands-on by design.
Abhinav Dangri is an NYU alumnus and hands-on practitioner who personally delivers Kriv AI's engagements — from Claude Code enterprise training to governed AI builds — for regulated and enterprise clients. He leads Kriv AI's work across healthcare, life sciences, insurance, and finance.
A consultancy should be held to the same standard it sells: scoped, logged, and accountable for every claim.
Built with verified partners
Credentials that click through.
The full ledgerWhat we believe
Four principles, no fine print.
Governed by design
Compliance and ethics live in the architecture, not in an appendix. The audit trail starts before the first model call.
Value over hype
No buzzword chasing. We ship deployments that make operations measurably faster, safer, and easier to defend.
Humans in the loop
AI should augment clinicians, scientists, and operators — never replace their judgment or their accountability.
Evidence, always
Every claim we make clicks through to its source. We hold our own marketing to the standard we sell.

Start here
Thirty minutes with the person who'll do the work.
A discovery call here isn't a sales screen — it's a working session. Bring the problem on your desk; leave with an honest read on whether governed AI helps, and what it would take.
Not ready for a project? Start smaller.
A free 30-minute AI readiness check.
Bring one workflow you suspect AI could improve. You leave with a straight read on whether it is worth building, what governance it would need, and what it would roughly take — whether or not you ever hire us.
A practitioner answers — no sales reps.
Continue the chapter
The credential ledger — every line verifies
Anthropic, AWS Marketplace (56 listings), Databricks, Microsoft — each one a click-through.
How Kriv AI works: the five-step method
Assess to Operate — every step leaves an artifact your auditors can read.
Claude Code training — the flagship program
12 sessions, 26 documents, 5 starter kits; engineers independent in 3 weeks.
