It is an end-to-end Generative AI (GenAI) platform designed for air-gapped, on-premises, or cloud VPC deployments, enabling organizations to own every part of the AI stack, including their data and prompts.
It is an end-to-end Generative AI (GenAI) platform designed for air-gapped, on-premises, or cloud VPC deployments, enabling organizations to own every part of the AI stack, including their data and prompts. The platform supports connecting any large language model (LLM) or embedding model, is fully scalable with Kubernetes, and includes features such as guardrails, summarization, cost controls, and customization options. It allows users to customize and deploy open-source AI models, create digital assistants, and develop business-specific GPTs. The platform also supports open-weight small language models (SLMs) for on-device and offline applications, as well as small vision-language models for OCR and Document AI tasks.
The platform includes an evaluation framework with automated testing, human calibration, bias detection, explainability, and failure analysis to enhance compliance and risk control. It offers no-code fine-tuning for custom enterprise-grade LLMs and enables training scalable SLMs for cost-effective NLP use cases. Users can develop, deploy, and share safe and trusted AI applications across various industries, including enterprise and public sectors. The platform democratizes AI with automated machine learning, open-source distributed machine learning, and no-code deep learning capabilities. It also provides AI-powered data labeling, model hosting, monitoring, and deployment, along with industry-specific AI applications.
H2O.ai supports deployment in on-premise, air-gapped, self-hosted VPC, or fully managed cloud environments. It is recognized as a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud AI Developer Services and is listed in the Gartner Magic Quadrant for Data Science and Machine Learning. The platform is used by leading global brands for use cases such as fraud detection, complaint summarization, recommendation engines, KYC, loan application risk assessment, and pricing optimization. It also offers multi-modal Document AI, intelligent document comparison, and complaint summarization tools. H2O.ai ensures cost control, flexibility, and compliance with SOC2 Type 2 and HIPAA/HITECH standards, making it a trusted solution for organizations seeking to integrate AI into their operations.
It is a platform that uses Autonomous AI agents to simplify and automate API integrations, enabling developers to connect software systems seamlessly, securely, and efficiently.
It is an open-source platform called Agience that enables individuals and organizations to build, deploy, and manage intelligent AI agents using secure, distributed architecture.
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It is a unified platform designed for building, running, and scaling autonomous agents, now operating under the name sagentic.ai, previously known as bazed.ai.
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It is a directory or file path typically found in Unix-like operating systems, such as Linux, that is associated with system or application-level processes, often related to agents or daemons.
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It is an AI research agent tool designed to automate due diligence research and competitor mapping for venture capital investors, private equity investors, investment bank analysts, and other investors.
