CognitiveLab Wins Meta's Prestigious Llama Impact Grant!
This non-dilutive funding recognizes Nayana's potential and accelerates our mission to build inclusive, multilingual AI serving 22 global languages including 10 Indic languages.
Key Areas
Our Core Focus in AI Innovation
Data Curation & Processing
Developing novel techniques for large-scale data collection, cleaning, and pre-processing to build high-quality datasets for robust AI models.
Structured Data Extraction
Researching advanced methods to extract structured information from unstructured data sources like documents, images, and audio.
Multimodal Understanding
Exploring architectures that effectively fuse information from diverse modalities (text, vision, audio) for deeper contextual understanding.
Research
Ongoing Research Initiatives
Nayana
Multi-modal, Multi-lingual, Multi-task LLM designed to comprehend and generate content across various languages and modalities.
Indic LLM Leaderboard
Open infrastructure to evaluate and compare language models for Indic languages, promoting transparency and advancement in Indic NLP research.
Ambari
Bilingual Kannada-English large language model designed to bridge language barriers and enable AI applications for Kannada speakers.
Products
Expore Our Popular open source repositories and products
OmniParse
Convert Anything into Structured Actionable Data
Multi-format input support
AI-powered data extraction
Customizable output structures
Real-time processing
RAG SaaS
Deploy Agentic RAG Solutions at Scale to your Enterprise
Agentic AI is generatingAI Engineering Academy
Master Applied AI, One Step at a Time
Prompt Engineering
RAG
AI Agents
Deep Learning
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Research &
Explore our contributions to the field of AI research.
ViViD - Vision Language model for Unified Visual Understanding of Documents
Adithya S Kolavi
CVPR 2025 | Emergent Visual Abilities and Limits of Foundation Models (EVAL-FoMo 2025)
A vision-language model specifically optimized for document understanding tasks, capable of processing diverse document formats with high accuracy.
Nayana - A Unified Foundation Model for Multilingual, Multimodal, and Multitask Intelligence
Adithya S Kolavi, Samarth P, Vyoman Jain
LlamaCon 2025 | LLama Impact Grant 2024 winner
Winner of the 2024 Llama impact grant from Meta, this paper presents a foundation model architecture designed for multilingual and multimodal applications.
CAPTAIN: Continuous Automated Planning Through Autonomous Internet Navigation
Adithya S Kolavi
AAAI 2025 | Large Language Models for Planning (LM4Plan)
A novel framework for autonomous web navigation and task planning using large language models to perform complex multi-step operations.
Blogs &
Stay updated with our latest blogs and announcements showcasing our innovative projects and research advancements.
Introducing NetraEmbed - SoTA Multimodal Multilingual Document Retrieval
We're excited to announce NetraEmbed and ColNetraEmbed, achieving 152% improvement over existing systems in multilingual document retrieval. Supporting 22 languages with state-of-the-art performance.
Read More →CognitiveLab Wins Meta's Llama Impact Grant 2024 for Project Nayana
CognitiveLab is proud to be selected as a recipient of Meta's prestigious Llama Impact Grant 2024, accelerating our revolutionary Nayana project—a multilingual (22 languages, 10 Indic), multimodal AI ecosystem that democratizes AI across global languages.
Read More →Introducing AI Engineering Academy: Creating the Next Generation of AI Engineers
AI Engineering Academy offers comprehensive training programs and resources to help aspiring engineers master the technical skills and practical knowledge needed to build, deploy, and maintain AI systems at scale.
Read More →Introducing Omniparse: Universal Data Parsing
Omniparse is an advanced document parsing platform that uses AI to extract structured data from any document format, enabling businesses to automate document processing workflows with unprecedented accuracy and efficiency.
Read More →Startup Partners
Llama impact grant 2024
If you have any questions, suggestions, or would like to discuss potential collaborations, please don't hesitate to reach out. I'd love to hear from you!Questions, ideas, or collaborations? Reach out—I'm all ears!
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Opportunities
Join our team or support our research
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Application Process
Please fill out the form below to show interest in our open positions. We will review your application and get back to you within 2-3 weeks.
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If you like our research and would like to sponsor our projects and open source initiatives, please get in touch. Your sponsorship will greatly help us continue developing innovative solutions and advancing the field of AI.
- ✓Support cutting-edge AI research
- ✓Contribute to open source development
- ✓Help make AI accessible to everyone
