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A highly secure, offline-first AI platform connecting villagers, ASHA/NGOs, and hospital admins. It delivers a suite of feature-rich health tools tailored especially for villagers in rural areas.
AI-Driven Healthcare Ecosystem
A deterministic AI guardian delivering radical healthcare accessibility for blind and deaf communities through real-time voice, vision-to-speech, and clinically grounded zero-hallucination support.
I help programmers build their own custom AI Agent easily through a GitHub repository with step-by-step tutorials.
A multi-agent AI platform with 5 specialized agents that guide students through goal-setting, university selection, scholarships, and career roadmaps.
Learn every chapter by solving a mystery - not by reading a textbook.
AI-Powered Developer Workflow Platform
Wellness, but make it a tiny creature that judges your vibe and roleplays your enemies. Meet Mochi.
Turn overwhelming thoughts into clear insights.
A Layer 7 gate to secure patient data and protect hospitals from HIPAA fines.
Autonomous smart contract audit: from exploits to verified fix.
Make sense of every cent, so every cent is well spent!
Before anyone trusts AI agents with real money, simulate a market and stress-test it with sudden shocks to see how they actually react.
Papel AI: detect research claims as you write, then verify them with multi-agent AI—including adversarial evidence search and a full audit trail.
Your health, our clinical passion.
Cognitive Lens is an AI co-pilot that scans complex texts, maps out hidden prerequisites, and dynamically adapts the reading environment to reduce cognitive overload.
A persistent memory layer for AI data agents, built on DataHub — every resolved schema incident becomes institutional memory the next agent inherits.
Data quality tools watch your data. Nobody watches whether the documentation is still true. This open-source DataHub agent does, judging context, not schema diffs.
An agentic reliability control room using DataHub lineage, quality, and ownership context to stop healthcare data and ML pipeline issues before they impact clinical operations.
An internal benchmark that tests whether AI agents are actually ready for your company.
Self-healing data pipelines: AI agents that diagnose, fix, and document incidents using DataHub's MCP Server.
DataHub knows what your data is. Lore knows why.
AI agent that predicts which downstream consumers will silently produce wrong data after a schema change, then writes governance warnings back into DataHub autonomously.