Compare Google AI and Guide Labs side by side. Both are tools in the Foundation Models category.
| Category | Foundation Models | Foundation Models |
| Pricing | Usage-based | Open-source / Enterprise |
| Best For | Enterprises on Google Cloud and developers building multimodal AI applications | Organizations that need interpretable, auditable AI models for regulated or high-stakes applications |
| Website | ai.google | guidelabs.ai |
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Google AI develops the Gemini family of multimodal models, capable of processing text, images, audio, and video in a single model. Gemini models power Google's AI products including Bard, Search, and Workspace integrations. Available through Google Cloud's Vertex AI platform, Gemini offers competitive pricing, long context windows (up to 1M tokens), and tight integration with Google's cloud ecosystem. Google also maintains open-source models like Gemma and contributes foundational AI research through Google DeepMind.
Guide Labs is building the first inherently interpretable LLMs. Their open-source Steerling-8B model features a novel concept layer inserted into the transformer architecture that makes every generated token traceable back to its training data. Unlike post-hoc explainability tools, Guide Labs bakes interpretability directly into the model, achieving 90% of standard model capability with less training data. YC-backed with $9M seed.
Companies that train and release their own large language models and foundation models. These organizations invest in large-scale model training, publish research, and offer API access to their proprietary models.
Browse all Foundation Models tools →