Moving Atoms builds simulation infrastructure for physical AI: SimReady assets, synthetic training data, and evaluation harnesses that connect robot tasks, skill creation, and deployment metrics. The site positions the stack as a three-layer data engine spanning world setup, policy training, and regression testing before evidence returns to RobotGym.
Muapi is a generative media API platform that routes image, video, and audio models such as FLUX, Kling, Seedance, and Nano Banana through one billing layer. Developers can compare per-generation pricing across hundreds of models instead of integrating each provider separately.
Mundo AI describes itself as the data layer for perceptual intelligence, building datasets, evaluations, and applied research for frontier labs and AI companies. The public site focuses on advancing perceptual intelligence across audio, video, and emerging modalities rather than a self-serve software product.
Apache MXNet is a flexible deep learning library with hybrid Gluon APIs, distributed training, and bindings for Python, Scala, Julia, Java, C++, R, and Perl. The project ships tooling for research prototypes and production training, though the Apache site notes the project has retired to the Attic.
Ndea is an AI research lab building frontier systems that combine intuitive pattern recognition with formal reasoning via guided program synthesis. The public site argues deep learning alone cannot reach AGI and positions program synthesis plus neural guidance as the path to scientific discovery machines.
NetworkOcean builds floating solar-powered ocean data centers designed to deliver new power and compute faster than traditional land-based options. The company reports running AI customer workloads off-grid from the ocean and outlines a roadmap from pilot arrays to gigawatt-scale floating solar deployment.
node-llama-cpp is a Node.js package for running large language models locally via llama.cpp bindings. It supports Metal, CUDA, and Vulkan, ships prebuilt binaries, and adds structured JSON output, function calling, embeddings, and CLI tools for chat and hardware inspection.
Nodus Compute is an infrastructure execution layer for AI workloads such as fine-tuning, long-running agent sandboxes, and reinforcement-learning experiments. Customers submit commands, track progress, and retrieve artifacts while Nodus supplies GPU and CPU compute with published hourly supply rates.
Nous Research is an open AI training and research organization known for Hermes models and the Hermes Agent harness. The site describes work on open intelligence, model architecture, data synthesis, fine-tuning, and agent research aimed at broad access rather than closed platforms.
NVIDIA NeMo is a framework and software suite for building, customizing, evaluating, and operating AI agents and generative models. It spans data curation, speech and language collections, guardrails, observability, and deployment tooling for enterprise agent lifecycles.
Olam Labs evaluates frontier AI models in multi-agent simulations where agents cooperate, deceive, and negotiate across games and enterprise-style tasks. The team publishes arena ratings and works with labs on behavioral safety and capability benchmarks.
Ollama provides local and cloud access to open models through a popular runtime and API, emphasizing privacy with prompts that are not stored or trained on. The homepage highlights billions of model downloads and an expanding cloud offering with subscription tiers and pay-as-you-go token pricing.
OLMo from Ai2 is a fully open language model family with published weights, code, and training flow. The Olmo 3 card set includes base, think, and instruct variants at 7B and 32B scales for chat, tool use, reasoning, and research reproduction.
OnDeck AI builds Perception-0, a vision model for complex video analysis without custom training or labeling. Enterprise customers search massive unstructured footage, understand events, generate reports, and adapt workflows with cloud or air-gapped deployment options.
OneTriangle builds a KV cache-aware inference engine that prefills on a smaller model and decodes on a larger one. By transferring key-value cache between models, it targets lower prefill cost and faster first responses on long inputs without sacrificing decode quality when pairs pass quality gates.
onomeo is a public-beta service that offers a unified OpenAI-compatible API and browser chat across dozens of models, including free-to-call models and credit-metered access to Claude, GPT, and other large models. Users get one API key for tools such as Cline, Open WebUI, and SillyTavern, with usage tracked in credits or free call quotas.
Ooak Data is an applied AI research lab that turns real enterprise workflows into anonymized digital twins and reinforcement-learning environments. It builds multimodal datasets, expert-level multi-step tasks, and evaluation pipelines so frontier agents are tested on authentic work—not synthetic proxies alone.
OpenAI develops and hosts frontier AI models and developer APIs for text, reasoning, audio, and agent workflows used in ChatGPT and third-party products. The company homepage focuses on research and deployment of general-purpose AI systems with documentation and pricing for API customers.
The OpenAI API gives developers programmatic access to OpenAI models for chat, agents, tools, audio, images, and production deployments. Official documentation covers quickstarts, model catalogs, hosted agents, realtime voice, and token-based pricing for flagship and legacy models.
OpenCompass is an open evaluation platform for large language and multimodal models aimed at model builders and users. The site hosts leaderboard rankings across capability dimensions, a benchmark community, and documentation for running comprehensive LLM evaluations.
OpenCV.ai is a computer vision services firm that builds custom AI and CV solutions for startups and enterprises, covering detection, tracking, video analytics, and on-prem or mobile deployments. The site organizes offerings by algorithms, industries, and consultation-led project engagement.
Open Instruct is Allen AI’s open-source codebase for instruction tuning and post-training language models on public datasets. It ships unified recipes for supervised fine-tuning, DPO, preference optimization, reinforcement learning with verifiable rewards, and related evaluation hooks used in Tülu and OLMo research releases.
OpenNMT is an open-source neural machine translation ecosystem maintained by SYSTRAN and Ubiqus. OpenNMT-py provides a PyTorch implementation for training and serving NMT and related sequence models, alongside companion projects for efficient inference and tokenization.
OpenRouter is a unified API and chat interface that routes prompts across hundreds of AI models and providers with activity logging and optional enterprise controls. The homepage invites developers to compare models and prices while choosing Free, Standard, Business, or Enterprise workspaces.
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Checked Oct 4, 2026
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