Research & Education

PatentWatch is an AI-powered platform designed to streamline patent intelligence and monetization. It enables users to efficiently map patents to products at scale, conduct comprehensive patent searches, and perform in-depth prior art analysis. The tool generates detailed claim charts, providing AI analysis scores for each claim element against evidence, helping to identify potential infringements and assess patent strength. PatentWatch aims to accelerate IP work, saving significant hours per claim chart and leveraging a vast patent database to help users turn their intellectual property into revenue.

OmiCure is an AI-powered platform designed to assist patients and physicians in their fight against cancer by providing personalized knowledge. The OmiCure AI analyzes a tumor's genomics and transcriptomics, comparing them against an extensive knowledge base of therapies and nutriments. This process helps identify the most suitable treatment and diet options for individual cancer patients. The platform generates a detailed report for medical teams, factoring in thousands of cancer drug-gene and nutriment-gene interactions. Developed over 10 years with leading research laboratories, OmiCure aims to keep doctors at the forefront of innovation by delivering actionable, personalized information for solid tumors at all stages.

llm-graph-builder is an open-source tool designed to convert various forms of unstructured data, such as PDFs, DOCs, TXTs, YouTube videos, and web pages, into structured knowledge graphs. It utilizes Large Language Models (LLMs) and the LangChain framework to extract nodes, relationships, and properties, storing them in a Neo4j database. Users can upload files from local machines, GCS, S3 buckets, or web sources, select their preferred LLM model, and define custom or existing schemas for graph generation. Key features include graph visualization in Neo4j Bloom, conversational querying of data, and token usage tracking. It supports a wide range of LLMs including OpenAI, Gemini, Anthropic, and Ollama, and offers various embedding models for data vectorization.

llama.go is a pure Golang reimplementation of the popular llama.cpp framework, designed for machine learning enthusiasts and developers. It aims to provide a GGML-compatible environment for debugging and inferring large GPT models directly in Golang, offering an alternative to lower-level languages like C++. The project focuses on performance and elegance, enabling users to work with models like LLaMA-7B, 13B, 30B, and 65B. Key features include multi-threading, cross-platform compatibility (Mac, Linux, Windows), and optimizations for ARM NEON and x64 AVX2. It also supports modern GGUF V3 model format, INT8 quantization, and offers an embedded REST API for production use, allowing parallel inference with configurable pods and threads.

Liger-Kernel is an open-source collection of Triton kernels specifically engineered to optimize Large Language Model (LLM) training. Developed by LinkedIn, this tool boasts a 20% increase in multi-GPU training throughput and a 60% reduction in memory usage, enabling longer context lengths, larger batch sizes, and massive vocabularies. It offers optimized Post-Training kernels, including DPO, ORPO, CPO, and SimPO, which can deliver up to 80% memory savings for alignment and distillation tasks. Liger-Kernel is designed for ease of use, allowing users to patch Hugging Face models with a single line of code or compose custom models using its modules. It is compatible with multi-GPU setups like PyTorch FSDP, DeepSpeed, and DDP, and integrates with popular trainer frameworks such as Axolotl and Hugging Face Trainer. The kernels are exact, ensuring computational accuracy with rigorous unit tests and convergence testing.

Sravathi AI Technology Pvt Ltd pioneers AI-driven solutions for complex drug discovery and development challenges, founded in 2020. The platform leverages generative AI, predictive AI, and physics-based models to design novel compounds, identify and validate targets. It allows clients to rapidly narrow down to a few hundred prioritized compounds for chemical synthesis by considering physico-chemical, ADMET, and pharmaco-kinetic properties. This approach significantly reduces uncertainty, time, and costs in the drug discovery process, transforming chemistry with its cost-effective, rule-based, and data-driven AI platform.

stableVideo is a state-of-the-art generative AI video model that transforms images and text into captivating short videos. Utilizing Stable Video Diffusion, it expands the horizons of AI-driven content creation, serving a wide range of applications in media, entertainment, education, and marketing. The tool supports multiple aspect ratios (16:9, 9:16, 1:1) and offers fast processing with a user-friendly interface. Users can generate videos without watermarks and enjoy unlimited downloads. While currently optimized for short clips (around four seconds), stableVideo provides flexible subscription plans, including a free tier, making advanced video creation accessible to both beginners and professionals.

StockInsights AI is an advanced AI-powered platform designed to enhance financial research for smart investors, specifically covering US and India markets. It leverages generative AI to provide deep insights into public company filings and earnings transcripts, streamlining the research process. Key features include AI-generated earnings transcript summaries, AI-categorized 8-K filings, and the ability to query company documents. The platform aims to boost productivity by reducing time spent on data collection, enabling users to generate investment ideas, conduct due diligence, and track portfolio companies effortlessly. It offers insights from multiple datasets, LLM-powered features to simplify complex data, and proactive notifications tailored to specific criteria, ensuring investors stay ahead of the curve.

Ren, developed by Refound, is an AI-powered accountability infrastructure designed to enhance leadership capabilities within organizations. It proactively assists managers in developing their teams by integrating directly into daily workflows via Slack and Microsoft Teams. Built on a decade of proven methodology, Ren helps managers with critical thinking, questioning assumptions, and evaluating work objectively. It surfaces important conversations, preps 1:1s, helps draft feedback, and ensures follow-through on commitments, leading to wider spans of control and reduced L&D spend. Ren aims to make every team member own their growth, fostering stronger relationships and improved execution.

SageNest is an AI-powered platform designed for personalized French language learning. It connects school learners and DELF/TEF aspirants with expert tutors for 1:1 sessions, providing tailored guidance and action plans. Beyond live sessions, the platform offers 24/7 AI learning support to ensure continuous improvement. SageNest aims to cut through the clutter of too many resources by offering a clear path to language proficiency, adapting dynamically to the learner's progress. This approach helps users improve faster and achieve their French language goals effectively.

Wonda is an AI-powered training platform designed to create tailored, immersive conversation simulations for healthcare and professional training. It enables educators to adapt scenarios, personalize conversational practice, and assess learning content with instant AI-powered feedback. The platform supports seamless deployment across devices, including desktop, mobile, and VR, allowing learners unlimited practice on their own schedule. Wonda focuses on competency-based education, offering hyper-realistic AI conversations with customizable characters, environments, and evaluation frameworks. It provides individual and group performance analytics, allowing learners to track growth and instructors to identify gaps, with up to 6 custom assessment criteria per simulation.

MindGraph is an open-source, API-first proof-of-concept prototype for generating and querying an ever-expanding knowledge graph using AI. It is designed for natural language interactions, allowing users to input and output information in a human-readable format. The project serves as a flexible template for building and customizing CRM solutions, emphasizing ease of integration and extendibility through its modular architecture. Key features include entity management with CRUD operations on people, organizations, and their relationships, custom integration triggers via HTTP requests, and robust search capabilities. MindGraph is AI-ready, facilitating intelligent data processing and decision-making, and supports various database integrations including in-memory, NexusDB, NebulaGraph, and FalkorDB.

WeBoard is an enterprise-grade AI platform designed for creating intelligent agents and assistants, focusing on knowledge management for large companies. The platform emphasizes unmatched accuracy, reliability, and data security, making it suitable for businesses with stringent data privacy requirements. It aims to transform business operations by enabling the development of AI agents that leverage a company's knowledge base effectively. WeBoard's offerings are geared towards enhancing operational efficiency and decision-making through advanced AI capabilities, ensuring data privacy and market-leading accuracy in its intelligent solutions.

Melwy specializes in point-in-time (PiT) LLMs designed to eliminate look-ahead bias in financial models. This innovative approach allows for more realistic backtesting, advanced agentic trading research, and reliable deployment of models beyond their initial training window. The platform offers PiT-Inference models that demonstrate significantly reduced alpha decay compared to standard LLMs, with some models boasting over 500 billion parameters. Melwy is geared towards professionals in finance who require robust and generalizable AI solutions for trading and research, providing a critical advantage in a data-driven market.

DeepResearch, developed by Alibaba-NLP, is an open-source agentic large language model specifically engineered for long-horizon, deep information-seeking tasks. With 30.5 billion total parameters and 3.3 billion activated per token, it demonstrates state-of-the-art performance across various agentic search benchmarks. Key features include a fully automated synthetic data generation pipeline, large-scale continual pre-training on agentic data, and end-to-end reinforcement learning. It supports both ReAct and IterResearch-based 'Heavy' inference paradigms, allowing for rigorous evaluation of intrinsic abilities and maximum performance. The model is available for download and can be integrated via OpenRouter for inference without GPUs.

DeepLearning.scala is an open-source library designed for building complex neural networks using Scala. It supports differentiable programming, allowing users to construct neural networks from mathematical formulas and calculate derivatives for weights. A key differentiator is its ability to create dynamic neural networks, where the structure can change during runtime based on Scala functions and control flows. This enables programmers to build sophisticated networks with familiar coding paradigms. The library also emphasizes functional programming, leveraging Monads and Applicative type classes for composable layers and parallel computations. DeepLearning.scala 2.0 is organized around Dependent Object Type calculus (DOT), providing mixin-able plugins for extending functionality, including algorithms, models, and hyperparameters, all with static type checking.

DeepSeek-MoE is an innovative Mixture-of-Experts (MoE) language model featuring 16.4 billion parameters. It utilizes a unique architecture with fine-grained expert segmentation and shared experts isolation, allowing it to achieve performance comparable to DeepSeek 7B and LLaMA2 7B while requiring only about 40% of the computations. Trained from scratch on 2 trillion English and Chinese tokens, DeepSeek-MoE provides both base and chat model checkpoints for research and commercial use. It can be deployed on a single GPU with 40GB of memory without quantization, and offers quick start guides for installation and inference using Huggingface's Transformers. The project also provides scripts for fine-tuning the models on downstream tasks, supporting both DeepSpeed and QLoRA configurations.

StudyPal is an AI-powered Chrome extension designed to be your ultimate study companion. It seamlessly integrates into online quizzes, tests, and homework, providing expert AI help for challenging problems. This tool aims to make studying smarter and easier by offering on-demand assistance directly within your academic environment. Whether you're tackling complex questions, preparing for exams, or working through assignments, StudyPal offers a convenient way to get immediate support and enhance your understanding of various subjects.

Nectir AI is a leading AI infrastructure platform designed specifically for higher education institutions. It enables the creation of customizable, FERPA-compliant AI Assistants that integrate directly into Learning Management Systems (LMS). These AI Assistants provide 24/7 student support, personalized guidance, and help faculty streamline routine tasks. The platform is built to be secure, protecting student privacy and institutional data by using private endpoints and never training external models with uploaded content. Nectir AI supports various leading AI models and offers intuitive analytics for campus-wide AI usage monitoring. It aims to enhance learning outcomes, increase student success, and improve administrative efficiency across campuses.

Seedance 2 is a powerful AI video generator powered by ByteDance Seedance 2.0 AI Video technology, enabling users to create high-definition videos from text prompts or images in approximately 2 seconds. The platform provides a Seedance 2.0 prompts guide for refining video generation and ensures character consistency across creations, making it ideal for cohesive storytelling and brand identity. It supports various aspect ratios, video qualities up to 1080p Full HD, and offers video durations of 5 or 10 seconds. Seedance 2 operates on a credit basis, with free credits available for new users and subscription plans offering more extensive usage. The tool is accessible via desktop and mobile browsers, providing a fast and accurate solution for AI video production.

The History Timeline Generator is an online AI-powered tool designed to create customized timelines for historical events. It assists users in organizing and presenting the development of historical occurrences, making complex information accessible and understandable. The tool allows for the generation of timelines for various subjects, including historical figures, fictional narratives, country histories, and specific scientific or cultural developments. Users can search for public cached timelines instantly or generate new ones, with queries consumed only when AI is needed for new or regenerated content. This makes it an invaluable resource for students, educators, and history enthusiasts looking to visualize and explore historical data efficiently.

GREYC is a prominent research laboratory, a joint unit of CNRS, ENSICAEN, and UNICAEN, dedicated to advancements in digital science. Their extensive work encompasses critical areas such as informatics, image processing, and instrumentation. The laboratory boasts a significant team of over 180 members and has contributed to more than 2100 publications over 25 years. GREYC actively engages in various research axes, teams, seminars, and transversal groups, fostering a dynamic environment for scientific exploration and innovation. They also highlight industrial collaborations and offer opportunities for employment, including permanent positions, theses, and internships.

NBoost is a scalable, open-source platform designed to enhance the relevance of search results by deploying state-of-the-art transformer models. It acts as a neural proxy, sitting between a client and a search engine like Elasticsearch, to rerank results based on fine-tuned models. This allows for domain-specific neural search engines and can improve other ranked input tasks such as question answering. NBoost offers easy installation via Docker, PyPi, or Kubernetes, and provides benchmarks demonstrating significant search boost compared to traditional methods. It supports both PyTorch and TensorFlow dependencies, making it flexible for various deployment environments.

OSWorld is an open-source benchmark designed to evaluate multimodal AI agents performing open-ended tasks in real computer environments. It offers a robust framework for researchers and developers to test and compare the capabilities of their AI agents. The platform supports various virtualization technologies like VMware, VirtualBox, and Docker, with ongoing support for cloud platforms such as AWS. Key features include parallel execution of experiments, detailed result logging with screenshots and video recordings, and tools for manual task examination. OSWorld aims to standardize the benchmarking process for AI agents, providing clear metrics for success rates across different domains like Office, Daily, and Professional tasks.