AI Agents & Automation

Hamarashops.com is an AI solution provider based in Hyderabad, India, specializing in Agentic AI-driven transformation. The company caters to diverse sectors including Healthcare, BFSI, Logistics, and Manufacturing, providing tailored AI solutions. Key offerings include advanced computer vision solutions for various applications and comprehensive executive AI training programs designed to empower leaders with AI knowledge. Additionally, Hamarashops.com has a unique offering of exporting hand-knotted carpets, showcasing a diverse business portfolio.

Arrakis offers a secure, fully customizable, and self-hosted sandboxing solution specifically designed for AI agent code execution and computer use. It addresses the critical need to safely run and test AI agents, especially those that generate potentially malicious or buggy code. A key feature is its out-of-the-box support for backtracking via snapshot-and-restore, allowing agents to revert to intermediate states, which is invaluable for complex multi-step workflows and Monte Carlo Tree Search based agents. Each sandbox runs securely within a MicroVM using cloud-hypervisor, isolating untrusted code from the host system. Arrakis provides a REST API, Python SDK (py-arrakis), and an MCP server for programmatic control, along with automatic port forwarding for easy access to sandbox GUIs, including Chrome for computer use.

G10X specializes in providing end-to-end digital and AI solutions for enterprises, focusing on enhancing customer experiences, strengthening operational performance, and delivering long-term business value. Their expertise spans the full digital lifecycle, from business analysis, design, and architecture to AI-driven innovation, development, and testing. G10X emphasizes a customer-obsessed approach, blending scale with agility to create secure, human-centered solutions. They work across various industries including Retail, Financial Services, Hospitality, and Transportation, helping businesses modernize, scale, and stay resilient in a rapidly changing digital landscape. The company aims to turn complexity into advantage and technology into impact for its partners.

node-llama-cpp provides Node.js bindings for llama.cpp, allowing developers to run AI models directly on their local machines. It supports various hardware accelerations including Metal, CUDA, and Vulkan, adapting automatically without manual configuration. A key feature is the ability to enforce a JSON schema on the model's output, ensuring parseable and structured generation. The tool comes with pre-built binaries for macOS, Linux, and Windows, with a fallback to building from source using CMake if binaries are unavailable. It offers a complete suite for LLM integration, including embedding and reranking support, function calling, and a CLI for direct model interaction. The project emphasizes a great developer experience with full TypeScript support and comprehensive documentation.

AGIE.ai is presented as a premium domain for sale through the Atom platform, which specializes in curating and selling brandable domains. The domain itself is described as a sleek, 4-letter, 2-syllable name, ideal for startups looking to evoke agility and intelligence in the digital landscape. The Atom platform facilitates secure transactions, offers flexible payment options including installments, and guarantees domain transfers. It also provides services like AI naming contests, AI audience testing, and domain appraisal, making it a comprehensive resource for businesses seeking to establish their online presence with a strong domain name.

pytorch-memonger is an open-source Python library designed for sublinear memory optimization in deep learning models built with PyTorch. It re-implements the technique described in "Training Deep Nets with Sublinear Memory Cost," significantly reducing the memory required for backward passes from O(N) to O(sqrt(N)). This optimization is particularly beneficial for training large sequential models or using larger batch sizes that would otherwise exceed available GPU memory. By replacing `nn.Sequential` with `memonger.SublinearSequential`, developers can easily integrate this memory-saving technique. The tool also addresses challenges with non-deterministic layers like BatchNorm and Dropout by re-scaling momentum and memorizing random number generator states, respectively, ensuring reliable performance.

safe-rlhf is an open-source framework designed for research into Constrained Value Alignment using Safe Reinforcement Learning from Human Feedback (RLHF). It offers a comprehensive and reproducible code pipeline, making it an invaluable resource for alignment research. The framework supports various training methods, including Supervised Fine-Tuning (SFT), standard Reinforcement Learning from Human Feedback (RLHF), and Safe RLHF. This allows researchers to explore different approaches to aligning AI models with human values while ensuring safety constraints are met. Its modular design facilitates experimentation and integration into existing research workflows, providing a robust platform for developing and evaluating safe AI systems.

shimmy is a Python-free Rust inference server designed for local AI model deployment, offering full OpenAI API compatibility. It supports GGUF and SafeTensors models, enabling users to point existing AI tools to shimmy for local, private, and free inference. Key features include hot model swapping, automatic model discovery from Hugging Face cache, Ollama, and local directories, and zero configuration. It also boasts advanced Mixture of Experts (MOE) support for running large models (70B+) on consumer hardware through intelligent CPU/GPU hybrid processing. shimmy is distributed as a single binary, including all GPU backends for various platforms, simplifying installation and ensuring automatic GPU detection.

UniFace is a lightweight, production-ready, and open-source face analysis library built on ONNX Runtime, offering a comprehensive suite of features for processing facial data. It includes advanced capabilities such as RetinaFace, SCRFD, YOLOv5-Face, and YOLOv8-Face for face detection with 5-point landmarks, and various models like AdaFace, ArcFace, and MobileFace for face recognition embeddings. The library also provides multi-object face tracking with BYTETracker, 106-point facial landmark localization, and semantic face parsing with BiSeNet. Additional features include trimap-free portrait matting, real-time gaze and head pose estimation, and attribute analysis for age, gender, race, and emotion. For privacy, it offers anti-spoofing and face anonymization with multiple blur methods. UniFace supports hardware acceleration on ARM64 (Apple Silicon), CUDA (NVIDIA), and CPU, making it versatile for different deployment environments.

torch-points3d is a comprehensive PyTorch framework designed for deep learning on point clouds, offering a robust environment for researchers and developers. It facilitates the implementation and experimentation of deep learning models for various 3D data analysis tasks. The framework is built upon PyTorch Geometric and Facebook Hydra, ensuring reproducibility and ease of model construction. It supports a high-level API to democratize deep learning on point clouds and includes implementations of state-of-the-art models like PointNet, PointNet++, RandLA-Net, and KPConv. Users can leverage it for tasks such as classification, segmentation, object detection, panoptic segmentation, and registration, with support for datasets like ScanNet, S3DIS, and ModelNet.

Vehicle-detection is an open-source project focused on implementing vehicle detection using machine learning and computer vision. It leverages several key techniques, including Linear Support Vector Machines (SVM) for classification, Histogram of Oriented Gradients (HOG) for feature extraction, color space conversion for image processing, and a sliding window approach to scan images for vehicles. This project was originally developed as part of Udacity's Self-Driving Car Engineer Nanodegree, indicating its practical application in autonomous vehicle technology research and development. It serves as a valuable resource for students and developers interested in computer vision and self-driving car applications.

Windows-Machine-Learning is a comprehensive repository offering samples and tools for developing machine learning applications on the Windows platform. It provides a high-performance machine learning inference API, powered by ONNX Runtime and DirectML, suitable for low-latency applications like games and real-time systems. The repository includes various model samples for image classification and style transfer, as well as advanced scenario samples demonstrating custom tensorization, custom operators, and adapter selection. Developers can find tools for model conversion to ONNX format, optimization with WinML Dashboard and graph optimizations, and validation using WinMLRunner. It also features a Visual Studio extension (mlgen) for integrating WinML APIs into UWP apps, simplifying model loading and evaluation.

VLMaps (Visual Language Maps) is an open-source implementation designed for robot navigation. It creates spatial map representations by fusing pretrained visual-language model features into a 3D reconstruction of the physical world. This innovative approach enables natural language indexing within the map, allowing robots to localize landmarks and spatial references without requiring additional data collection or model finetuning. The tool supports both object goal navigation and spatial goal navigation tasks, with configurable parameters for map creation, indexing, and evaluation. Users can generate datasets from simulated environments like Habitat simulator with Matterport3D or integrate their own customized datasets, making it a flexible solution for robotics research and development.

Ubicept is a pioneering computer vision company that transforms cutting-edge research in single-photon imaging and perception into practical solutions. Their Ubicept Toolkit provides real-time processing and flexible integrations to enhance the performance of any vision system. This technology is designed to improve machine perception across various industries, including mobility, manufacturing, surveillance, and robotics. By focusing on advanced image sensors and innovative algorithms, Ubicept aims to deliver superior perception capabilities, even in challenging conditions like low light, as demonstrated by their work on HDR and photon fusion for cleaner data.

Artizen, Inc. is a consulting firm specializing in digital transformation and AI implementation, providing expert guidance in AI, data analytics, and cloud solutions. Their services are designed to help enterprises navigate complex technological changes, optimize operations, and unlock new growth opportunities through strategic innovation and automation. Artizen focuses on delivering tailored strategies that integrate advanced AI capabilities and digital solutions to drive efficiency and competitive advantage for their clients.

CitCom.ai TEF offers AI startups and SMEs subsidised access to advanced Testing and Experimentation Facilities (TEFs) for AI models and robots, focusing on smart and sustainable cities. It brings together 32 partners across 11 EU member states, including research organizations, cities, universities, and companies. Through real, virtual, and physical test environments, CitCom.ai helps innovators validate performance, ensure compliance with EU regulations like the AI Act and Data Act, and accelerate market entry. Users can test AI solutions in real city and community environments, access facilities, infrastructure, and AI services like data quality checks, product optimization, and legal compliance support. It also connects users with top AI experts and a trusted EU network.

DecisionIQ AI Consulting offers fractional CTO and AI product and technology consulting services, specializing in guiding industrial organizations through AI implementation. Founded in 2015, the company provides a structured approach across three stages: Assessment & Strategy, Advisory, and Custom Applications. Services range from comprehensive AI readiness evaluations and tailored roadmaps to hands-on implementation support, data optimization, AI vendor selection, and custom application development. DecisionIQ focuses on delivering measurable ROI, with a track record of over 25 successful pilots and deployments, and demonstrated annual savings of over $30M for clients in manufacturing and field service.

Twine AI offers comprehensive services for building and improving AI models through trusted audio, image, and video datasets. They provide global data collection, annotation, and labeling for speech, vision, and beyond, leveraging a network of over 1 million global experts. The platform supports custom dataset creation, expert annotation, and human evaluation, ensuring high-quality training data for various AI applications. Twine AI also offers model evaluation services with human experts in the loop, off-the-shelf datasets through their marketplace, and AI/ML consulting. Their services are designed to help adapt any model to specific use cases, with a strong focus on ethical data collection, bias reduction, informed consent, and data provenance.

Neuraleap Technology Group, operating as Neuraleap Hire, is a specialized recruitment and executive search firm dedicated to the finance industry. They assist fund houses, asset managers, private equity funds, and family offices in hiring top-tier professionals. The company emphasizes a fast, precise, and confidential four-step search framework, including mandate discovery, market mapping, precision shortlisting, and secure hiring. Neuraleap Hire boasts an average time to hire of 12.6 days and an 84% one-year retention rate, serving clients with over $9 billion in assets. Their expertise covers various finance roles, from investment teams and CIOs to quant traders and wealth management relationship managers.

NTT RESEARCH is dedicated to fundamental research across various scientific domains, including physics, cryptography, and medical informatics. The organization's core mission is to upgrade reality by conducting basic research and developing advanced technologies that seamlessly integrate into daily life, fostering positive change for humanity. Key research areas include the Physics Informatics Lab, Cryptography and Information Security (CIS) Lab, and Medical and Health Informatics (MEI) Lab, with a focus on initiatives like the Bio Digital Twin. NTT RESEARCH aims to drive innovation that improves health outcomes through precision medicine and advances in secure data solutions.

Orcawise offers a comprehensive solution for organizations to operationalize the EU AI Act through its RAIMS® (Responsible AI Management System) Workforce Capability. This system is designed to translate regulatory requirements into actionable governance and operational controls, ensuring traceability, audit readiness, and executive oversight across the entire AI lifecycle. Orcawise provides a suite of tools, credentials, and access to a talent pipeline of over 100 certified consultants specializing in law, data, and engineering. These consultants are available on-demand with implementation artifacts, enabling organizations to build robust AI governance capabilities and comply with evolving regulations.

AvGarde Systems is a pioneering deeptech startup focused on radio frequency technology and radar sensing. Their AI-enabled platform is designed for enhanced situational awareness and aerial object detection, specifically addressing challenges in airspace management. The technology is geared towards applications like critical infrastructure protection and drone fleet operations. The company highlights its innovation, having been a winner in the DRDO - Dare To Dream 4.0 - INNOVATION CONTEST. Their solutions aim to reimagine wireless connectivity and provide advanced sensing capabilities for various industries requiring precise aerial monitoring.

OrbiSky is a company focused on providing autonomous space assurance, ensuring deterministic integrity for autonomous space operations within the context of the Zero Debris economy. The company is actively engaging with the UK Space Agency (UKSA) and the European Space Agency (ESA). OrbiSky addresses the growing complexity of space operations, where manual tracking of spacecraft and their interactions is no longer feasible. As spacecraft become more connected and software-defined, the risk surface expands, necessitating faster, evidence-backed decisions. OrbiSky builds the verification layer essential for trustworthy autonomy in real-world space operations. They are currently delivering UKSA-commissioned work under the Sustainability & ISAM and Unlocking Space programmes, specifically for verification and operational assurance in autonomous in-orbit manufacturing.

Seven23AI, operating under the name Graphic Folks, offers a wide array of free graphic design resources, including mockups for books, bags, billboards, bottles, and business cards. The platform also provides various design templates for menus, gift cards, and certificates. Beyond design assets, Graphic Folks features a blog with articles on topics like affiliate marketing, LinkedIn lead generation, social media audience identification, and content engagement strategies, aiming to help users earn money and enhance their online presence. It serves as a resource for both design needs and business growth insights.