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DataYantra

Healthcare technology

Intelligent Solutions for Modern Healthcare

We design, build and run AI systems and digital products for healthcare, from the first strategy conversation to software running in production.

  • Built for production, not proof-of-concept
  • AI and full-stack under one roof
  • Healthcare data handled with care

About us

Healthcare technology, engineered to run in the real world.

Healthcare runs on people, paperwork and phone calls. We build the intelligent systems that take the routine work off clinicians and operations teams: AI that understands clinical and business workflows, and software that patients and practitioners actually use.

Our team combines AI engineering, product development and cloud infrastructure, so one partner can take an idea from strategy to a live product and keep improving it after launch.

  • What we do

    AI systems, platforms and apps for healthcare and wellness businesses.

  • Our products

    IndianVaidyas AI, and Rx Connect for prescription support.

  • How we work

    Engineering-led, production-first, with weekly demos and clear milestones.

Services

What We Build

Six AI disciplines plus full-stack development — every system built to run in production, not proof-of-concept.

  • 01

    AI Consulting

    We map your business to an AI strategy that actually executes. AI roadmaps, enterprise adoption frameworks, workflow automation scoping, and ROI-focused transformation — not slide decks.

    • AI Strategy & Roadmaps
    • Workflow Automation
    • Enterprise AI Adoption
    • AI Transformation Consulting
  • 02

    Agentic AI Systems

    We architect autonomous agent networks using LangGraph state machines — tool-calling, multi-agent orchestration, self-correcting auditor patterns, and human-in-the-loop approval flows.

    • LangGraph Orchestration
    • Multi-Agent Systems
    • Self-Correcting Auditors
    • Human-in-the-Loop (HITL)
  • 03

    Custom AI Products

    Full-stack AI product engineering — AI SaaS platforms, copilots, conversational assistants, AI mobile apps, and intelligent dashboards built for production load and real-world users.

    • AI SaaS Platforms
    • AI Copilots & Assistants
    • Conversational AI
    • AI Mobile Apps
  • 04

    LLM Engineering

    We build the intelligence layer — RAG pipelines, long-term memory systems, structured output engineering, fine-tuning pipelines, prompt compression, MCP server integrations, and LLM evaluation frameworks.

    • RAG Systems
    • Memory Architecture
    • Fine-Tuning Pipelines
    • MCP Server Integration
  • 05

    AI Automation

    Autonomous business operations — lead generation engines, CRM automation, n8n workflow orchestration, hyper-personalized outreach systems, and AI-native process pipelines.

    • B2B Lead Generation
    • CRM Automation
    • n8n / Workflow Orchestration
    • AI Operations Systems
  • 06

    AI Infrastructure

    The engineering foundation your AI runs on — vector databases, scalable FastAPI backends, cloud deployment, self-hosted LLM models (Ollama), LangSmith observability, and production monitoring.

    • Vector Databases
    • FastAPI Backends
    • Self-Hosted LLMs (Ollama)
    • LLM Observability & Monitoring

Plus full-stack development

We don't just build AI — we build the products that AI runs inside. Web and mobile development with AI as the core, not an afterthought.

  • AI-First Web Development

    Modern web applications with AI embedded from the ground up — not bolted on. React, Next.js, and full-stack MERN solutions where AI powers the core user experience, not just a chat widget.

    • React / Next.js
    • MERN Stack
    • AI-Native UX
    • Full-Stack Architecture
  • AI-First App Development

    Cross-platform mobile applications where AI is the product — not an add-on. React Native apps with intelligent features, AI-powered workflows, and the performance benchmarks production users expect.

    • React Native
    • iOS & Android
    • AI-Powered Features
    • Production-Grade Architecture

Products

Our Products

Platforms we build and run ourselves.

  • Wellness AI Platform

    IndianVaidyas AI

    AI-driven healthcare and wellness platform — connecting patients to traditional medicine with modern AI workflows.

    • Dual-app ecosystem: IndianVaidyas AI for patients, IndianVaidyas AI Pro for practitioners
    • AI-assisted patient intake and automated follow-ups
    • Available on Google Play
    • React Native
    • FastAPI
    • AI Workflow Engine
    • PostgreSQL
  • B2B Prescription Platform

    DataYantra Rx Connect

    Click-to-call prescription support for e-commerce brands. We hold prescription-only orders, connect the customer to a registered doctor on a masked call, and tell the store whether to ship.

    • Masked doctor calls with recorded consent
    • Approve, partial or decline sent back to the brand
    • Brand dashboard and admin panel
    • Click-to-Call
    • Masked Calling
    • e-Prescription
    • Brand Dashboard

How we work

Our Engineering Process

A proven 5-phase approach to building AI systems — from scoping to scaling. No black boxes, no surprises.

  1. 01

    Week 1

    Discovery & Scoping

    We start by understanding your business context, AI ambitions, and constraints. We define success metrics, data availability, and risk tolerance before writing a single line of code.

  2. 02

    Week 2

    Architecture Design

    We design the agent graph, tool-calling patterns, memory architecture, data flows, and integration touchpoints. You get a complete technical blueprint before we touch the codebase.

  3. 03

    Weeks 3–8

    Engineering Sprint

    Iterative builds with weekly demos — human-in-the-loop feedback cycles, LangSmith tracing from day one, and modular agent nodes you can inspect at every stage.

  4. 04

    Weeks 8–10

    Deployment & Integration

    Production deployment on your cloud of choice — Docker containerization, CI/CD pipelines, API integrations, and full observability stack configured and live.

  5. 05

    Ongoing

    Optimization & Scale

    Post-launch iteration — latency tuning, cost optimization, accuracy improvements, LLM evaluation runs, and scaling the system as usage grows.

Part of [Group name]

Figures across our group's healthcare products.

  • 500+

    Healthcare providers

    Clinics and hospitals using our group's products

  • 200+

    Labs connected

    Diagnostic centres on our lab platform

  • 1M+

    Patients served

    Lives touched across our platforms

  • 99.9%

    Uptime

    Reliable infrastructure

Contact us

Have a healthcare problem worth solving?

Tell us what you are building or where you are stuck. We reply within one business day.

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