Inferenz and Caregence Merge to Redefine AI Innovation in Healthcare
Inferenz and Caregence have merged to create a unified healthcare AI entity under the Inferenz brand. The goal is clear: connect enterprise-grade data foundations with an agentic AI platform to automate real work across the care continuum-faster and at scale.
The combined strength pairs Inferenz's domain-led data, cloud, governance, and enterprise AI expertise with Caregence's agentic AI platform that automates workflows from referrals through recovery. For health systems, providers, payers, MedTech, and life sciences, this means fewer disjointed tools and more measurable outcomes.
Why this matters to healthcare leaders
Most organizations have data spread across EHRs, payers, CRM, and departmental tools. This merger unifies that data and moves it into action with domain-specific AI agents. The result: shorter time-to-value, safer deployments, and outcomes that show up in both clinical and operational metrics.
What the unified platform includes
- Strong data and cloud architecture (Inferenz) connected to a healthcare-first agentic AI platform (Caregence).
- Pre-built AI agents, modular healthcare skills, and a low-code/no-code Flow Builder for faster rollout.
- Predictive analytics grounded in governed data models and enterprise-grade security.
- Seamless integrations with Snowflake, Databricks, AWS, Azure, and core healthcare systems (EHR/EMR, payer, HR, CRM, third-party apps). Learn more about Snowflake or EHR standards at the Office of the National Coordinator for Health IT.
Strategic highlights
- Unified leadership: Enterprise delivery strength from Inferenz meets Caregence's healthcare-focused agentic AI platform.
- End-to-end capability: From data strategy, architecture, and engineering to domain-specific AI solutions.
- Speed to market: Pre-built AI agents, a Flow Builder, predictive models, and integrated services enable faster deployment and measurable outcomes.
- Expanded footprint: US/India delivery with scale across North America, India, and emerging markets.
- Healthcare value at scale: Data foundations plus workflow-centric agentic AI to lower cost of care, improve patient experience, and expand automation.
Leadership voices
Sweta Parekh, Founder & CEO, Caregence: "This merger brings together two complementary strengths. At Caregence, we built a platform that addresses the end-to-end patient journey with intelligent agents. By joining Inferenz's data and enterprise-AI capabilities, we will accelerate our roadmap, expand our product suite and deliver meaningful impact across the healthcare ecosystem."
Gayatri Thakkar, Founder & CEO, Inferenz: "Inferenz has always believed that data and AI must be anchored in strong strategy, strong governance, and scalable architecture. By embedding those foundations into a healthcare-centric, agentic AI platform, we can deliver productized AI solutions with even greater speed and depth. Our clients will benefit from the combined strength of both companies."
Yash Thakkar, Co-Founder & Managing Director, Inferenz: "Our vision is to help organizations transform how they operate with agentic AI. With this merger, we deepen our focus on healthcare while retaining enterprise wide expertise across data, cloud and agentic AI services. It truly is the best of both worlds for our people, our clients and the broader market."
What clients and partners can expect
- Stronger strategy and thought leadership: Domain expertise and platform-led solutions connected to real healthcare challenges.
- Enhanced product portfolio: Healthcare-specific AI products backed by secure, scalable data and cloud infrastructure.
- Faster deployment: Use cases across digital front door, matching and scheduling, revenue cycle, clinical documentation, post-care monitoring, and value-based care.
- Unified data-to-AI integration: Snowflake, Databricks, AWS, and Azure connected to EHR/EMR, payer, HR, CRM, and partner systems.
- Single partner, end-to-end: Strategy, domain consulting, data/AI engineering, platform deployment, and adoption support tied to measurable outcomes.
Where this moves the needle first
- Referral management: Triage, routing, and leakage control with agent-driven workflows.
- Care team matching and scheduling: Smarter assignment across clinics, hospital ops, and home health.
- Clinical documentation: Drafting notes, coding support, and quality checks with auditability.
- Revenue cycle: Eligibility, prior auth guidance, denials management, and intelligent worklists.
- Post-discharge and value-based care: Monitoring, outreach, and risk signals tied to care gaps.
How healthcare leaders can get started
- Pick 2-3 high-friction workflows with clear KPIs (e.g., referral cycle time, no-show rate, documentation burden).
- Consolidate source-of-truth data models and define governance up front (access, lineage, PHI handling).
- Start with pre-built agents; extend using the Flow Builder for local workflows and policies.
- Plan change management early: clinical champions, billing ops leads, and compliance at the table.
- Measure weekly. Track adoption, exceptions, and outcomes; scale what proves impact.
If your team is building skills around AI, automation, or data foundations, explore practical training paths by role at Complete AI Training.
About Inferenz
Inferenz is a native Data and AI solution-led services company with presence in India and the US, helping enterprises drive ROI through cloud engineering, modern data platforms, machine learning, and domain-specific AI solutions across Healthcare, Insurance, and Hi-tech.
About Caregence
Caregence is an agentic AI platform built for healthcare, combining pre-built agents, modular skills, and a no-code Flow Builder to automate end-to-end workflows. It unifies data across clinical and operational systems, enabling real-time decisions, connected care, and enterprise-grade governance.
Date
December 7, 2025
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