Governed AI for Healthcare and Regulated Mid-Market
We help healthcare, life sciences, and other regulated organizations move from AI pilots to governed, production-grade AI. Our approach blends AI readiness assessments, governance frameworks, MLOps foundations, and agentic automation—delivering real business impact with built-in compliance.
Who We Are
Kriv AI is a specialized AI implementation and governance firm, founded to solve the "AI paradox": lots of experimentation, but very little production impact.
Headquartered operationally in East Brunswick, NJ, with a strategic focus on the Northeast healthcare & life sciences corridor—Boston and the surrounding ecosystem—we work with organizations that are serious about AI but need a trusted partner to make it real.
We focus on regulated mid-market organizations—big enough to have serious data and compliance needs, but lean enough to value a focused expert partner who understands their constraints.
At a Glance
& Regulated Mid-Market
deployments & automation
Our Vision
Kriv AI's vision is to become the most trusted partner for enterprises harnessing artificial intelligence in highly regulated environments.
We aim to turn AI from a risky experiment into a reliable, governed engine of measurable value—secure, compliant, and scalable.
Our Mission
Our mission is to empower healthcare, life sciences, and other regulated organizations to move from AI pilots to production.
We do this by combining:
- AI readiness & governance assessments
- "AI-ready" data and MLOps foundations
- LLM fine-tuning and custom models
- Agentic automation and Governance-as-a-Service
Every engagement is designed to de-risk innovation while unlocking real operational and financial impact.
Our Leadership
Led by experts in AI governance, healthcare operations, and enterprise software.
Abhinav Kriv
Founder & CEO
Former enterprise architect with deep expertise in regulated AI deployments and scalable automation.
Governance Lead
Head of Compliance
Specialist in HIPAA, GDPR, and FDA Software as a Medical Device (SaMD) regulations.
Technical Director
Head of Engineering
Expert in MLOps, secure data infrastructure, and large-scale model serving.
What We Do
Our services help regulated organizations build AI that works—governed, auditable, and ready for production.
AI Readiness & Governance Assessment
- •Diagnose where you are on the AI maturity curve
- •Identify data, compliance, and infrastructure gaps
- •Deliver a clear roadmap from pilot to production
Agentic AI & Automation
- •Design and implement AI agents that orchestrate workflows
- •Tools: Zapier, n8n, Power Automate, Copilot Studio, custom APIs
- •Focus on governed automation, not brittle scripts
LLM Fine-Tuning & Custom Models
- •Adapt large language models to your clinical, operational, or research data
- •Emphasis on HIPAA-aligned architectures and PHI/PII handling
- •From prompt engineering to fine-tuning and evaluation
MLOps & Governance-as-a-Service
- •Build CI/CD/CT pipelines for models and agents
- •Monitoring, auditability, and incident response
- •Option for ongoing governance and lifecycle support
Coming soon: AI Governance & Compliance-as-a-Service—a dedicated offering for ongoing governance support as Kriv AI expands its platform capabilities.
Who We Serve
We partner with regulated organizations that are ready to move beyond AI experiments.
Industries We Serve
Healthcare & Life Sciences
Providers, health systems, and clinical organizations
Pharma R&D
Research teams and drug development organizations
Healthcare Operations
Revenue cycle, claims, and back-office operations
Insurance & Other Regulated Sectors
Stakeholders We Work With
CTO / CIO
Struggling to scale AI reliably across the organization
Chief Data / Analytics Officers
Facing data silos and quality issues
Compliance & Risk Leaders
Concerned about HIPAA, GDPR, bias, and auditability
Operations Leaders
Looking to reduce manual work through safe automation
What We Believe
Our principles guide every engagement and shape how we approach governed AI.
Governed by Design
Governance, compliance, and ethics are built into the architecture and workflows—not bolted on at the end.
Value Over Hype
We don't chase buzzwords. We focus on deployments that actually make operations faster, safer, and more reliable.
Humans in the Loop
Agentic AI should augment clinicians, scientists, and operators—not replace their judgment.
Ecosystem-First
We work with your existing stack: Azure, AWS, Databricks, Snowflake, Zapier, Monday.com, n8n, Power Automate, and more.
From Pilot to Platform
Early services are designed to evolve into repeatable patterns and, over time, platform capabilities like Governance-as-a-Service.
How We Work
Our five-step model guides every engagement:
We take a collaborative approach with stakeholders, clear milestones, transparent communication, and measurable outcomes at every step.