Riften connects enterprise AI routing with evaluations and autonomous post-training built from verified production outcomes. Teams route requests across frontier and open models, measure which outputs succeed, and assemble training data for company-specific models.
RightNow AI is a YC-backed GPU research lab focused on model–hardware co-design and publishes inference research such as RunInfra. The company routes product users to RunInfra for hosted open-model APIs and monthly coding plans compatible with tools like Claude Code and Codex.
Rivestack provides managed PostgreSQL with pgvector on dedicated NVMe for AI workloads, combining relational rows and vector indexes in one database. The vendor publishes measured latency benchmarks and fixed monthly plans with a free sandbox tier.
Robi Labs (listed as RobiAI) builds reasoning engines, multimodal AI systems, and agent infrastructure for teams that need precise backend capability with restrained product surfaces. The public site positions the company as an engineering-focused AI lab rather than a single end-user app.
Robocurve is a public benefit corporation publishing independent benchmarks and open-source tools that measure real-world robot intelligence. It evaluates how capable AI models and physical embodiments perform on frontier robotics tasks and reports results to help society understand progress in physical AI.
Roboflow is a computer-vision platform for labeling data, training models, deploying inference, and monitoring visual AI in production. It bundles datasets, workflows, Roboflow Agent, and serverless or self-hosted inference for vision teams.
RunAnywhere is an inference lab offering hosted Wally frontier open models, local MetalRT and QHexRT accelerators, and open-source SDKs on one stack. Wally exposes an OpenAI-compatible hosted API while local tooling keeps execution explicit until users opt in to cloud runs.
RunComfy hosts ComfyUI in the cloud with pay-as-you-go GPU billing, saved workflows, and optional Pro membership for discounted GPU rates and included CPU hours. It also exposes serverless APIs generated from ComfyUI workflows for production image and video pipelines.
RunLocal is an agentic model compiler for edge compute platforms that helps teams ship better models on existing or cheaper onboard hardware. The site describes a RunLocal Skill workflow where coding agents prepare request packages, RunLocal optimizes on its infrastructure, and teams validate locally.
RunPod is a GPU cloud for AI developers offering on-demand Pods, serverless GPU endpoints, multi-node clusters, and a hub for open models. Pricing is per-second or per-hour based on GPU type across community and secure clouds for inference, fine-tuning, and agents.
Run This LLM is a free reference site for local AI hardware requirements covering more than 295 models across LLMs, image, video, and audio workloads. Users search by model or by existing hardware to see build specs, performance estimates, and benchmark notes for self-hosted inference.
RWKV-Runner is a desktop management and startup tool for RWKV language models, listed on the official RWKV site as a GUI with API support. The RWKV project describes attention-free RNN models with transformer-like performance and links to runners, apps, and open weights.
Sagify is an open-source Python toolkit for deploying and operating ML and LLM workloads on cloud platforms such as AWS SageMaker. Documentation covers Docker builds, REST inference gateways, batch jobs, embeddings, and CLI commands for training and deployment.
Samaira.AI is a hosted inference platform for agentic and multimodal AI workloads with elastic autoscaling, zero data retention, and observability. It advertises low-latency open-weight models, custom fine-tunes, batch jobs, and India-hosted deployment options for production teams.
SapientML is an open AutoML research project that learns from existing datasets and human-written ML pipelines to synthesize high-quality predictive pipelines for new tabular tasks. It emphasizes fast search over plausible pipelines, transparent generated code, and strong accuracy on benchmark tasks.
Saturn Cloud is a control plane for running Python notebooks, jobs, and deployments on GPU cloud infrastructure with hosted pay-as-you-go or enterprise installs in your own cloud account. Teams use it to scale data science and ML workloads on hardware such as H100, H200, and A10G instances.
Sciloop recruits elite domain experts to build frontier datasets and problem sets that break current models. Experts browse open projects on the platform, submit solutions with live LaTeX support, and earn per-problem payouts while enterprises buy curated evaluation data.
SciSharp STACK is an open-source .NET ecosystem that ports Python ML and AI libraries such as TensorFlow, Keras, PyTorch, and NumPy to .NET Standard. It targets cross-platform C# and F# developers who want familiar Python APIs, Jupyter workflows, and Docker images without leaving the .NET toolchain.
The Vercel AI SDK is an open-source TypeScript toolkit for building AI applications and agents. It standardizes streaming, tool calling, and multi-provider model access so developers can swap models and deploy chat, completion, and agent workflows without rewriting provider-specific code.
The Synthetic Data Vault (SDV) is an open-source Python library for training generative models on tabular data and producing synthetic single-table, sequential, or multi-table datasets on demand. It includes evaluation, visualization, constraints, and an enterprise tier for large relational deployments.
Sentence Transformers is a Python framework for computing dense embeddings, semantic similarity, and retrieval with transformer, cross-encoder, and sparse encoder models. Documentation covers installation, training, semantic search, and integrations with vector databases for production NLP pipelines.
SF Tensor is a training infrastructure and research partner that takes models from first experiments to frontier-scale runs across NVIDIA, AMD, TPU, and Trainium hardware. Offerings include Model Foundry savings-share pricing for labs and embedded post-training engagements that deliver production models in weeks.
SGLang is an open-source high-performance serving framework for large language and multimodal models with optimized schedulers, speculative decoding, and disaggregated prefill. Teams install via pip or Docker, launch OpenAI-compatible servers, and scale from single GPUs to distributed clusters.
Shiraz AI builds a robot foundation model that learns new manufacturing tasks from a single human demonstration. The company delivers hardware, the model, and on-site deployment so customer lines can adapt without traditional teach-pendant programming.
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Checked Oct 4, 2026
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