Shofo supplies proprietary multimodal training datasets spanning computer use, talking-head video, speech, gameplay, and expert physical work. Labs browse a self-serve platform or request samples for model training.
Shotwell provides dense annotations for robotics training data, segmenting long demonstration videos into discrete steps, validating SOP adherence, and flagging failures per subtask for faster dataset review.
SID trains retrieval and agentic search models that connect AI systems to real-world context. Its SID-1 model targets higher recall and faster search than embedding-only baselines for complex retrieval workloads.
Sonar serves Hugging Face models with high-throughput inference through an OpenAI-compatible HTTP API or a Python API. Documentation covers installation for multiple accelerators, API server deployment, batched local inference, and parallelism tuning for single-GPU through multi-node layouts.
Spaceflow deploys and runs a customer’s full AI stack, including open frontier models, a governance gateway, and AI employees embedded in existing business systems. The marketing site positions an integrated platform rather than point tools for model access and governed automation.
spaCy is a free open-source Python library for industrial-strength natural language processing. It provides pipelines for NER, POS tagging, dependency parsing, word vectors, and related NLP tasks with usage docs, pretrained models, and an API reference.
SpeechBrain is an open-source PyTorch toolkit for speech and text technologies, covering ASR, enhancement, separation, TTS, speaker recognition, and chatbot pipelines. It ships recipes, Hugging Face checkpoints, and documentation for researchers.
Speko is a router for voice AI that benchmarks speech and language models across languages and exposes a hosted STT, LLM, and TTS data plane. Pricing lists Speko infrastructure at $0.09 per minute all-in or provider rates plus 5% when routed externally, with $10 signup credit.
Spendline sits in the path of LLM API traffic to attribute each request to customers, workflows, and teams, enforce budgets, and surface margin analytics. It proxies calls across major model providers so finance and engineering see per-feature AI spend instead of a single monthly invoice.
Spice AI is an open-source data and AI runtime for federated SQL, hybrid search, analytics replicas, and LLM inference across laptop, on-prem, edge, and managed cloud deployments. Spice Cloud adds hosted compute tiers for developers and teams.
SQLite-Vector is a cross-platform SQLite extension for fast vector search in ordinary tables, storing embeddings as BLOBs with quantization, SIMD acceleration, and a low default memory profile. It targets embedded, mobile, and edge AI apps that need semantic search without a separate vector server.
Stability AI provides enterprise generative models for image, video, audio, and 3D media with self-hosted licenses, a developer platform API, and Brand Studio creative production partnerships for marketing, gaming, and entertainment teams.
StableBrowse builds multimodal physical-world datasets for robots and embodied agents, from egocentric capture through depth, IMU, tactile, hand pose, and action labeling. The company positions itself as data infrastructure for physical AI rather than a generic web dataset catalog.
Stable Diffusion API (ModelsLab) offers a REST image generation API and browser playground for SD 1.5, SDXL, Flux, ControlNet, LoRA, and thousands of community models with documented POST examples and tiered monthly call limits.
StableLM is Stability AI’s open language model suite hosted on GitHub with checkpoints such as StableLM-Alpha and StableLM-3B-4E1T for text and code generation. Models are released under open licenses for inspection, adaptation, and commercial use subject to each checkpoint’s license terms.
Stanza is Stanford NLP’s open-source Python toolkit for multilingual linguistic analysis. Its neural pipeline tokenizes text, tags morphology and dependencies, recognizes entities, and optionally connects to CoreNLP for constituency parsing and coreference.
Starcloud plans orbital data centers that use continuous space solar power and radiative cooling to scale AI compute without terrestrial permitting limits. The company publishes mission roadmaps and invites suppliers and customers to contact its team.
starVLA is an open embodied-AI framework for building vision-language-action models with modular, lego-like workflows, reproducible benchmarks, and deployment-ready interfaces. The project site links to the starVLA GitHub repository and documentation for robotics researchers.
Stoa is an institutional marketplace to buy and sell GPUs and AI hardware with verified counterparties, RFQ workflows, and market intelligence. AI assists drafting RFQs from quotes while settlement steps record condition, payment, and delivery milestones.
SuperAnnotate offers an AI data infrastructure platform with multimodal annotation editors, orchestration compute, analytics, and expert annotation teams. Starter and Pro tiers are sold via signup or demo requests without public USD list prices.
Sureform builds post-training datasets and reinforcement-learning environments grounded in real enterprise workflows to improve frontier agents. The Y Combinator–backed team focuses on multimodal human data collection starting with video for AGI-oriented model training.
SWE-bench is a family of open software-engineering benchmarks built from real GitHub issues, with public leaderboards comparing model and agent performance. The site tracks variants such as Verified, Lite, Multilingual, and Multimodal tasks and links related tools like mini-SWE-agent and SWE-agent.
Synapse Semiconductor is a frontier semiconductor lab building sensing and compute hardware for physical AI. The team focuses on chips that understand and filter visual input at the sensor rather than shipping full frames to remote GPU compute.
TabPFN from Prior Labs is a pre-trained tabular foundation model for fast classification, regression, forecasting, and related structured-data tasks without dataset-specific training loops. Teams can try TabPFN via API, private cloud, or on-prem deployments with open-source and commercial licensing options.
Free
API available
Checked Oct 4, 2026
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