Langroid
Harness LLMs using a principled multi-agent programming paradigm to build complex, robust, and explainable AI applications.
Founding Story
Started in early 2023 by Prasad Chalasani and Somesh Jha to address the limitations of existing LLM tools by making 'Agents' first-class citizens in a principled, task-oriented programming framework.
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Leadership
Founders
Prasad Chalasani
IIT BTech/CS, CMU PhD/ML. Former independent ML consultant, former ML lead at Medallia. Expert in multi-agent systems and LLMs.
Somesh Jha
IIT BTech/CS, CMU PhD/CS. Professor of Computer Science at University of Wisconsin-Madison. Expert in security and formal methods.
Executive Team
Prasad Chalasani
Co-Founder
Expert in multi-agent systems and ML, former Medallia lead.
Somesh Jha
Co-Founder
Professor at UW-Madison, security and formal methods expert.
Business Model
Revenue Model
Open-source framework with enterprise consulting and specialized system development (e.g., MALADE for pharmaceutical sector).
Pricing Tiers
Full access to the framework on GitHub.
Custom implementations and support for enterprise LLM apps.
Target Markets
- Enterprise Software
- Healthcare/Pharmaceuticals
- Academic Research
- AI Infrastructure
- Complex multi-step RAG workflows
- Explainable AI for healthcare (pharmacovigilance)
- Collaborative multi-agent debate and education
- Tool-calling and structured data interaction
- Enterprise-grade LLM applications with high observability
- Tepper School of Business
- Pharmaceutical researchers
History & Milestones
Announcement of an AI-powered multi-agent debate and education platform.
Fixing CVE-2025-46828 vulnerability, showing maturation of the framework security.
Introduction of Knowledge Graph RAG support powered by Neo4j.
Langroid repository crosses 2,000 stars on GitHub.
Release of MALADE (Multiple Agents powered by LLMs for ADE Extraction), a pharmacovigilance system.
