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Security platform for AI models and the ML lifecycle

Policy-as-code AI governance and compliance for regulated industries.
Fairly AI is a very early-stage, independent startup (around $2M disclosed) focused on AI governance and compliance for regulated industries. Its policy-as-code and model-risk framing is genuinely aligned with what banks, insurers and healthcare buyers need, and it has notable accelerator/VC backers (Techstars, Benhamou Global Ventures). The honest caveat is scale: this is a small company competing with both better-funded AI-governance platforms and entrenched GRC vendors. Pricing is not public. Best evaluated as an emerging specialist, with careful due diligence on depth and support.
Fairly AI is an AI governance and compliance (regtech) platform for regulated industries such as banking, insurance, healthcare and aerospace. It offers policy-as-code, model risk management and an analytical engine that scans AI systems for bias and compliance issues, producing the documentation and approvals regulators expect. It is an independent, very early-stage startup with around $2M in disclosed funding, best viewed as an emerging specialist.
Fairly AI focuses on the governance and compliance side of AI risk rather than runtime threat detection. Its platform provides centralized AI governance and regulatory technology to help organizations in regulated industries demonstrate accountability and compliance. It offers an analytical engine that scans AI systems for issues such as bias and checks them against compliance requirements, supporting the controls, documentation and approvals that regulated buyers need. The company positions itself around policy-as-code and model risk management: helping teams codify their AI policies, run checks against models and systems, and produce the evidence auditors and regulators expect. This makes it a fit for banking, insurance, healthcare and aerospace organizations that must govern AI under existing model-risk-management regimes and emerging AI regulation. Fairly AI is an independent, very early-stage company. Its disclosed funding is modest -- around $2M -- with backers including Benhamou Global Ventures, Village Capital, Techstars, Backstage Capital and Flybridge. Buyers should calibrate accordingly: the regulatory framing is credible and the focus is real, but this is a small startup competing against both larger AI-governance platforms and established GRC vendors. Validate depth, integrations and support against your specific regulatory obligations.
Fairly AI is an AI governance and compliance (regtech) platform for regulated industries. It offers policy-as-code, model risk management and an engine that scans AI systems for bias and compliance issues, producing documentation and approvals regulators expect. It is an independent, very early-stage startup with around $2M raised, best viewed as an emerging specialist competing with larger governance and GRC vendors.
Fairly AI is an AI governance and compliance company targeting regulated industries such as banking, insurance, healthcare and aerospace. Its platform centralizes governance to help organizations demonstrate accountability and compliance for their AI systems.
It is an independent, very early-stage company. Disclosed funding is modest at around $2M, with investors including Benhamou Global Ventures, Village Capital, Techstars, Backstage Capital and Flybridge.
Fairly AI provides policy-as-code and model risk management, letting teams codify their AI policies and run automated checks against models and systems. Its analytical engine scans for issues such as bias and evaluates systems against compliance requirements.
The platform emphasizes the documentation, controls and approval workflows that regulated organizations need to satisfy internal model-risk functions and external regulators, positioning it within the AI-governance and regtech landscape.
Regulated organizations -- particularly banking, insurance, healthcare and aerospace -- that must govern AI under model-risk-management regimes and emerging AI regulation.
Model-risk analysts, data scientists and governance teams running checks and producing documentation.
Chief risk officers, heads of model risk and compliance leaders.
Regulatory affairs teams, internal audit and responsible-AI program owners.
A regulated financial, insurance or healthcare organization that must govern AI models under formal model-risk and regulatory requirements and wants policy-as-code tooling to streamline approvals and evidence.
Approximately $2M in disclosed funding. Investors include Benhamou Global Ventures, Village Capital, Techstars, Backstage Capital and Flybridge. No later-stage round publicly disclosed as of August 2026.
It provides AI governance and compliance tooling for regulated industries, including policy-as-code, model risk management and scanning for bias and compliance issues.
Regulated sectors such as banking, insurance, healthcare and aerospace that must govern AI under model-risk and regulatory regimes.
It focuses on governance and compliance rather than runtime threat detection, though those overlap in enterprise AI-risk programs.
Fairly AI is a very early-stage, independent startup with around $2M in disclosed funding.
Fairly AI does not publish pricing; contact the vendor for a quote.
Side-by-side pages for pricing, features, and best-fit use cases.
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