CometAPI aggregates access to hundreds of AI models through one developer API for chat, image, and video workloads. Pricing is usage-based with published per-token, per-image, and per-second rates discounted versus many official provider list prices.
Comet is an AI developer platform built around Opik for end-to-end observability, agent testing, optimization, and monitoring. The homepage emphasizes faster paths to reliable agents, while pricing advertises Free Cloud and Pro Cloud tiers plus enterprise options for larger teams.
ComfyDeploy helps teams run ComfyUI in the cloud, share workflow environments, and expose simplified UIs or production APIs from the same graphs. It advertises auto-scaling GPUs, workflow versioning, and collaborative sharing without heavy DevOps setup.
ComfyOnline hosts ComfyUI workflows in the cloud with pay-as-you-go GPU runtime, optional membership queues, and one-click API generation. It integrates video, image, audio, and LLM nodes including Kling, Runway, Flux, Claude, and GPT without local GPU setup.
CompassRank is the OpenCompass leaderboard presenting scores and rankings for large language and multimodal models across capability dimensions. It aims to give neutral, multi-metric evaluations so practitioners compare foundation models on published benchmarks.
Compresr is an LLM context-compression API that takes long context plus a query, keeps answer-bearing tokens, and returns a shorter context to cut token cost and latency while preserving accuracy on public benchmarks. Teams can use Python or TypeScript SDKs, HTTP APIs, playground demos, or on-prem deployment.
Computable publishes the open-source Computable GPU Index (CGI), a USD reference price per GPU-hour from a fixed panel of on-demand rental providers. The methodology, data, and code are public so traders, renters, and agents can reproduce every print and consume live values via web charts or MCP.
Confluence Labs is an AI research lab focused on learning efficiency—how quickly models can learn from limited data and fewer experiments. The team works on scientific discovery problems such as drug and materials search where each experiment is costly.
Congruent builds automotive radar designed for end-to-end autonomy, letting teams train with raw radar data—real or synthetic—via a digital twin connected to the vehicle and world model. The platform supports scene augmentation, edge-case testing, and closed-loop evaluation.
Conifer is a local-first AI runtime and routing gateway that sends requests to frontier cloud models, self-hosted weights, or your own hardware through one API key. The site promises no markup on cloud token rates, free local inference, and dynamic query-based routing across editors and terminals including Cursor and VS Code.
ContextWire provides a multi-engine research and context API for AI applications, unifying Google, Bing, Wikipedia, CrossRef, and 100+ search profiles with LLM answer extraction. The homepage cites 94.3% SimpleQA accuracy, MCP server access, and a free tier with 1,000 monthly queries.
CoreWeave is a cloud platform purpose-built for AI workloads, offering GPU and CPU compute, networking, storage, Kubernetes, inference, agent development tools, and mission control services for training and serving models at scale.
Cortex AI builds large real-world egocentric and robot datasets from workplaces and industry partners to accelerate embodied AI and physical intelligence, supporting frontier labs with capture, fine-tuning data, and human-in-the-loop rollouts.
Cosine, hosted at cosine.sh, is a sovereign AI lab training specialized coding agents and models for secure environments. It offers Lumen Scout, Outpost, and Sovereign models plus CLI and cloud surfaces with transparent credit-based plans for developers and regulated teams.
Creative Arena by Contra Labs publishes bespoke model battles and research evaluating creative AI on real design tasks. The Human Creativity Benchmark scores image, video, and landing-page workflows with expert raters, leaderboard rankings, and downloadable open datasets.
Credyt is real-time monetization infrastructure for AI products, letting teams observe inference spend, enforce limits, and bill customers across usage, credits, subscriptions, and hybrid models. It provides wallets, billing portals, profitability analytics, webhooks, OpenAPI specs, SDKs, and an MCP server for developer tools.
Crusoe is an AI infrastructure company that markets Crusoe Cloud and related data-center services for training and serving large models. The site emphasizes energy-aware compute, managed GPU clusters, and enterprise support for teams deploying AI workloads at scale rather than a consumer chat assistant.
CTGT is an applied interpretability lab offering a policy engine that constrains frontier model outputs to complex organizational rules at inference time, alongside research into mission-critical model behavior for regulated domains.
Cuebench builds reinforcement-learning environments for scientific discovery and inference engineering where frontier models still fail most tasks. The site showcases specialized reasoning benchmarks—such as reconstructing double-pendulum motion from limited measurements—and invites teams to book demos for custom RL environment work.
DagsHub is a collaboration platform for machine learning datasets, experiments, and models. It combines Git-style data versioning, experiment tracking, annotations, and notebooks with team workspaces and storage quotas on paid tiers.
dari.dev is a drop-in, OpenAI-compatible routing layer for AI agents. It routes each request across models by cost, latency, quality, and policy, using evals and production feedback to steer traffic.
Dataiku is an enterprise platform for AI success that unites analytics, machine learning, and AI agents with orchestration and governance. Teams use it to build and deploy models and agent workflows with collaboration controls so AI investments translate into measurable business outcomes.
Dataloop is an AI-ready data stack for teams shipping production models. It combines end-to-end data management, automation pipelines, and a quality-first data labeling platform so organizations can curate training data and operationalize computer vision and generative AI workflows.
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Checked Oct 4, 2026
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