With the T3 AI Directory, explore the trust level of AI tools, from established leaders to innovative newcomer
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Responsible AI is the practice of designing, developing, and deploying AI systems in a way that ensures fairness, transparency, safety, accountability, sustainability, respect for human rights, and positive social impact.
From leaders to niche tools — compare trust levels instantly.
Legal Tech AI
Automates document review, investigations, and compliance workflows using AI.
Cybersecurity AI
Provides autonomous endpoint and cloud protection using AI threat detection.
Language Model Builder
Develops Claude AI models for reasoning, conversation, and safe enterprise use.
Open-Source Models
Creates efficient, open-weight LLMs optimized for enterprise and developer use.
Generative Image AI
Generates photorealistic and artistic images from text prompts using diffusion models.
Language AI Tools
Builds LLMs and applications for reading, writing, and comprehension tasks.
Language Model Builder
Develops Claude AI models for reasoning, conversation, and safe enterprise use.
Legal Tech AI
Automates document review, investigations, and compliance workflows using AI.
Cybersecurity AI
Provides autonomous endpoint and cloud protection using AI threat detection.
Open-Source Models
Creates efficient, open-weight LLMs optimized for enterprise and developer use.
Generative Image AI
Generates photorealistic and artistic images from text prompts using diffusion models.
Language AI Tools
Builds LLMs and applications for reading, writing, and comprehension tasks.
Leave it to us, we will verify.
Optimize your impact this holiday season with an AI-driven, multichannel marketing strategy. Get all the tips and tricks in our free ebook.
A cross-sector, sector-agnostic resource that helps organisations find and compare AI tools which meet standards of responsible AI. It is designed for anyone who wants to leverage AI responsibly — not just trust & safety teams — including banks, insurers, healthcare providers, governments, educators, and technology firms.
Responsible AI means AI tools that align with global principles of transparency, fairness, accountability, safety, human oversight, and regulatory compliance. We draw from the EU AI Act, OECD AI Principles, and UK AI White Paper.
Each tool is screened and categorised as:
They give users a clear view of whether a tool has made a commitment, been verified, or is setting the standard across industries.
The directory is updated annually to reflect new tools, regulatory changes, and vendor progress.
No. Regulators (e.g., FCA, PRA, ESMA) do not endorse specific tools. However, our classifications are mapped against key regulatory frameworks to support compliance and governance.
Vendors can apply for verification by submitting evidence that their tool meets responsible AI criteria. This includes documentation, transparency commitments, and independent testing where applicable.
Verification costs vary depending on the level of assessment required (Pledge, Verified, or Leader). Pricing details are available on request, and fees cover independent review, evidence assessment, and directory inclusion.
A cross-sector, sector-agnostic resource that helps organisations find and compare AI tools which meet standards of responsible AI