tvam
TVAM set out to simplify health guidance, policy support, and exam-prep workflows through advisor-style AI tools. The real challenge was making chat, retrieval, voice, and secure knowledge flows feel like one dependable product experience instead of a stack of separate AI features.
Services
Outcomes
Built AI-powered Health and Policy Advisors plus a USMLE preparation tool.
Integrated chat-based AI, secure conversation storage, TTS/STT support, vector search, and file uploads.
Used RAG patterns and cloud deployment workflows across Google Cloud, Azure, and secure storage services.
Made complex health and policy workflows easier to navigate through clearer advisor-style product flows.

Case breakdown
01
Context
TVAM was building AI tools across health guidance, policy support, and exam prep. As the scope expanded, those experiences had to feel like one usable product rather than a set of disconnected utilities.
02
Challenge
The work had to combine chat-based AI, voice interaction, document retrieval, secure conversation history, and file handling without making high-stakes workflows harder to trust or navigate.
03
What we changed
Yuvabe designed and deployed Health and Policy Advisors plus a USMLE support workflow, tying them together with RAG-backed retrieval, vector search, TTS/STT, secure storage, and cloud-ready infrastructure.
04
Outcome
The result was a more coherent advisor-style AI product suite that automated complex support flows, improved engagement, and gave users clearer help across health, policy, and exam-prep tasks.
Multi-domain advisor experience

Wealth advisor flow
A structured investment experience that brings financial guidance — portfolio tracking, goal-setting, and investment prompts — into the same product space as health and insurance. One app, multiple advisory domains, no context-switching.

Conversational health guidance
A chat-first health advisor with voice input support, designed to make clinical and wellness guidance feel like a natural conversation rather than a form or a search. Users get structured responses without navigating complex medical language.
AI infrastructure and onboarding

AI assistant entry point
The conversational scaffold that greets users and surfaces the right starting point, whether they need health guidance, financial support, or policy help. Built on a RAG stack with secure storage, so responses stay contextually accurate across domains.

Product onboarding and value narrative
The onboarding flow that introduces tvam's full scope : health, wealth, and well-being as a connected offering rather than separate products. Designed to help users understand what the platform can do before they need to navigate it themselves.
Built multiple advisor workflows
Delivered Health Advisor, Policy Advisor, and USMLE support experiences instead of a narrow single-use prototype.
Connected retrieval, voice, and secure history
Combined RAG, vector search, TTS/STT, file handling, and secure conversation storage into a usable AI product system.
Deployed for real-world scale
Shipped cloud-ready workflows across Docker, Google Cloud, Azure, and secure storage patterns built for growth.
Client perspective
"Partnering with Yuvabe Studios for over a year, we've seen exceptional results. Their deep understanding of our vision and customer segments, combined with prompt responsiveness, has strengthened our brand."
Aruna Sampige, tvam Technologies Pvt. Ltd.