Jivica AI on the Road: Event Highlights from 2024–2025
Jivica AI on the Road: Event Highlights from 2024–2025
Building healthcare AI is not just about the technology — it is about the conversations, partnerships, and trust that form when you show up, present your work, and listen to the people who will use it. Over the past year, Jivica AI has had the privilege of presenting at some of India's most respected innovation forums. Here is a look at three events that shaped our trajectory.
Google for Startups AI Academy — T-Hub, Hyderabad (December 2024)
In December 2024, Jivica was selected for the Google for Startups AI Academy India 2024 cohort, hosted at T-Hub in Hyderabad. The program brought together AI-focused startups from across India for intensive mentorship, technical workshops, and networking with Google's engineering and product teams.
For Jivica, this was a validation milestone. Being selected into Google's AI Academy signaled that our approach to healthcare AI — combining clinical NLP, multi-agent architectures, and HIPAA-grade data protection — met the technical bar that Google sets for its accelerator programs.
The program helped sharpen our go-to-market strategy and connected us with mentors who brought deep experience in scaling AI products from India to global markets. It also placed us alongside some of the most ambitious AI startups building across healthcare, fintech, and enterprise automation.
Agentic AI in Healthcare — T-Hub x RxBenefits, Hyderabad (April 2025)
In April 2025, our founder Anand Pavan Mandala presented Jivica AI at an Agentic AI in Healthcare event co-hosted by RxBenefits, Inc. and T-Hub on April 16th. The event focused on how autonomous AI agents are transforming healthcare operations — from pharmacy benefit management to revenue cycle automation.
Anand showcased how Jivica's AI-driven medical coding solution delivers speed, accuracy, and compliance at scale for Revenue Cycle Management workflows. The presentation covered ANICA's multi-agent architecture — 9 specialized AI agents and 24 MCP tools working together to code clinical documents in seconds rather than minutes.
The event brought together healthcare technology leaders including Shekhar Khera and Saurabh Agrawal from RxBenefits, as well as T-Hub's innovation ecosystem team. The conversations that followed reinforced a theme we hear consistently: healthcare organizations are past the "should we use AI?" stage and are now focused on "which AI can we trust with our clinical data?"
That trust question is exactly why we built DelPHI alongside ANICA — so organizations can de-identify PHI before it ever reaches a coding engine, maintaining HIPAA compliance without sacrificing data utility.
Aivi 2025 — ISB Hyderabad (November 2025)
The Aivi 2025 forum at the Indian School of Business (ISB), Hyderabad was one of the most significant stages Jivica presented on in 2025. ISB's AI venture forum brings together founders, investors, and enterprise leaders to evaluate AI companies that are solving real-world problems at scale.
Anand presented Jivica's two flagship products:
- ANICA — our AI medical coding engine that achieves 92.6% accuracy across ICD-10, HCC, and E/M categories, processing each chart in 5–15 seconds
- DelPHI — our AI-powered de-identification system that detects and removes all 18 HIPAA Safe Harbor identifiers from clinical documents
The 28-second pitch video from the event captured the core of our message: healthcare needs AI that is both powerful and responsible. Powerful enough to process 10,000+ charts per day with clinical-grade accuracy. Responsible enough to protect every piece of patient data that passes through the system.
The response was overwhelming — 88 reactions and 21 comments on the LinkedIn post alone, with connections from health plan executives, coding company leaders, and healthcare IT decision-makers who are actively evaluating AI coding solutions for 2026.
What These Events Taught Us
Three themes emerged consistently across every event:
1. The Market Has Moved Past Skepticism
Healthcare AI is no longer a "future trend" conversation. Every audience we presented to was evaluating specific solutions for specific workflows. The questions were about accuracy benchmarks, RADV audit readiness, V28 model support, and integration timelines — not whether AI should be used at all.
2. Trust and Transparency Are Non-Negotiable
The most common concern we heard was not about AI capability but about AI accountability. Can you explain how the AI arrived at a code? Can you produce an audit trail that satisfies CMS? Can you guarantee that PHI never leaves a controlled environment? These are the questions that separate deployable AI from demo-stage AI.
ANICA's architecture — with 24 MCP tools that expose every reasoning step and 9 named agents that you can inspect — was designed specifically to answer these questions.
3. India-to-Global Is a Real Path for Healthcare AI
The Google for Startups selection, the T-Hub ecosystem, and the ISB platform all reinforced that India has the talent, the infrastructure, and the market understanding to build healthcare AI products that serve global markets. Jivica's mission — building globally trusted healthcare AI from India to the world — is not just an aspiration. It is a business model that our event audiences validated.
What's Next
2026 is shaping up to be Jivica's most active year yet. With the V28 HCC model now in full implementation, RADV audits intensifying, and healthcare organizations under pressure to reduce coding costs while improving accuracy, the demand for AI-assisted coding has never been higher.
If you are evaluating AI medical coding or de-identification solutions, we would welcome the conversation. Schedule a demo to see ANICA and DelPHI in action, or explore our platform capabilities to understand the technical architecture behind our products.
