Fairly AI Platform
Fairly AI Platform is an enterprise governance, risk management, and testing suite designed for organizations that need to oversee AI models across their lifecycle.
Publisher review
Fairly AI Platform is an enterprise governance, risk management, and testing suite designed for organizations that need to oversee AI models across their lifecycle. It targets compliance officers, risk managers, and AI/ML teams who must meet regulatory standards and internal policies. The platform integrates with major cloud providers (AWS, GCP, Microsoft), foundation models (Cohere, Google Gemini, Meta's LLAMA, IBM watsonx.ai), and standards bodies (ISO via the Standards Council of Canada) to provide a single pane of glass for model oversight. It is particularly suited for regulated industries such as finance, healthcare, and insurance, where auditability and bias detection are critical.
The platform works by connecting to existing ML infrastructure through plugins and APIs, offering automated testing for bias, drift, and security vulnerabilities. Specific integrations include: Amazon Web Services (AWS Partner), BABL AI for NYC Local Law 144 compliance on automated employment decisions, Cogito Tech for responsible data labeling, and MLFlow for generative AI tracking. It also partners with NVIDIA Inception for startup acceleration. The platform's 'Security for AI Asenion™' solution, when combined with IBM watsonx.ai, provides advanced threat detection. Fairly AI is an official partner with the Standards Council of Canada, enabling direct delivery of ISO standards through the platform. The tool is described as 'award-winning' across multiple integration pages, though specific awards are not named in the sources.
In the AI governance market, Fairly AI competes with Fiddler, WitnessAI, Chatterbox Labs, FairNow, Modulos, and Armilla AI. Unlike some competitors that focus narrowly on model monitoring (e.g., Fiddler) or bias detection (e.g., FairNow), Fairly AI emphasizes breadth across oversight, governance, risk management, and testing. Its deep integration with standards bodies (ISO) and cloud partnerships (AWS, Microsoft, GCP) give it an edge in regulated environments. However, the platform's exact pricing is not publicly disclosed, placing it in the 'contact for quote' tier alongside most enterprise governance tools. The lack of transparent pricing may deter smaller teams or startups.
Key trade-offs include the absence of public pricing, which makes budgeting difficult without a sales call. The platform's heavy reliance on partnerships means that any disruption in a partner's API or service could impact functionality. While it supports foundation models like Cohere and LLAMA, it does not appear to natively support open-source models outside of those listed. Finally, the platform's focus on breadth may mean it lacks the deep, specialized testing capabilities of point solutions like Chatterbox Labs for bias or Fiddler for drift. For organizations that need a single vendor for compliance across multiple models and clouds, Fairly AI is a strong candidate, but those seeking a lightweight, self-serve tool should look elsewhere.
How it works
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AWS integration
Fairly AI is an AWS Partner, enabling direct integration with Amazon Web Services for cloud-based model governance and testing.
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BABL AI plugin
Integrates with BABL AI to address NYC Local Law 144, which targets bias in automated employment decision tools.
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Cogito Tech partnership
Partners with Cogito Tech to advance responsible AI through ethical data labeling practices.
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Cohere model support
Supports integration with Cohere's enterprise large language models for governance and testing of generative AI.
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GCP integration
Integrates with Google Cloud Platform for computing, data analytics, machine learning, and storage services.
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ISO standards delivery
Official partner with the Standards Council of Canada to deliver ISO standards directly through the Fairly AI platform.
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IBM watsonx.ai collaboration
Combines IBM watsonx.ai with Fairly AI's Security for AI Asenion™ solution for advanced threat detection.
Strengths and trade-offs
Strengths
- Integrates with 12+ major platforms and standards bodies, including AWS, GCP, Microsoft, ISO, and NVIDIA Inception.
- Official partner with the Standards Council of Canada, enabling direct delivery of ISO standards through the platform.
- Award-winning platform (per multiple integration pages) with comprehensive oversight, governance, risk management, and testing capabilities.
- Supports a wide range of foundation models including Cohere, Google Gemini, Meta's LLAMA, and IBM watsonx.ai.
Trade-offs
- No public pricing is available; organizations must schedule a call to get a quote, which adds friction to evaluation.
- Heavy reliance on third-party partnerships means any API or service disruption at a partner could affect platform functionality.
- The platform's breadth across governance, risk, and testing may lack the depth of specialized tools like Fiddler for drift or Chatterbox Labs for bias.
- Native support for open-source models is limited to those explicitly listed (e.g., LLAMA), potentially excluding custom or niche models.
Pricing context
No specific pricing details are provided in the source materials; the platform requires scheduling a discovery call for pricing information.
Getting started with Fairly AI Platform
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Request a discovery call
Visit the Fairly AI website and fill out the contact form to schedule a discovery call. A sales representative will reach out to discuss your organization's governance needs and provide pricing details.
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Connect your cloud provider
During onboarding, connect your AWS, GCP, or Microsoft Azure account using the provided plugins or APIs. This allows Fairly AI to access your ML infrastructure for model oversight and testing.
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Integrate your AI models
Select your foundation models from the supported list, such as Cohere, Google Gemini, or Meta's LLAMA. Use the platform's integration tools to link these models for governance and risk management.
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Run automated bias tests
Configure automated testing for bias, drift, and security vulnerabilities on your connected models. The platform will generate reports to help meet regulatory standards like NYC Local Law 144.
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Schedule regular compliance checks
Set up recurring scans and audits within the platform to monitor model performance over time. Review the generated compliance reports to ensure adherence to internal policies and ISO standards.
Frequently Asked Questions
What is Fairly AI Platform?
Fairly AI Platform is an enterprise governance, risk management, and testing suite for overseeing AI models across their lifecycle. It targets compliance officers, risk managers, and AI/ML teams in regulated industries like finance, healthcare, and insurance.
What integrations does Fairly AI support?
Fairly AI integrates with major cloud providers like AWS, GCP, and Microsoft, foundation models such as Cohere and Google Gemini, and standards bodies like ISO via the Standards Council of Canada. It also partners with BABL AI for NYC Local Law 144 compliance.
How does Fairly AI handle bias detection?
Fairly AI offers automated testing for bias, drift, and security vulnerabilities through plugins and APIs. It integrates with BABL AI to address NYC Local Law 144 for bias in automated employment decisions, supporting compliance in regulated industries.
What is Fairly AI pricing?
Fairly AI does not publicly disclose pricing. Organizations must schedule a discovery call to get a quote. This places it in the 'contact for quote' tier common among enterprise governance tools, which may deter smaller teams or startups.
How does Fairly AI compare to Fiddler?
Fairly AI emphasizes breadth across oversight, governance, risk management, and testing, while Fiddler focuses narrowly on model monitoring. Fairly AI's deep integrations with ISO and cloud partners give it an edge in regulated environments, but it may lack Fiddler's specialized drift detection.
What are the weaknesses of Fairly AI?
Weaknesses include no public pricing, heavy reliance on third-party partnerships that could disrupt functionality, and breadth that may lack depth in specialized testing like bias or drift. Native open-source model support is limited to listed models like LLAMA.
Alternatives
How Fairly AI Platform compares
Direct head-to-head against 2 competitors. Picked by 7wData.
Fairly AI Platform
- Pricing
- No specific pricing details are provided in the source materials; the platform requires scheduling a discovery call for pricing information.
- Target
- Fairly AI Platform is an enterprise governance, risk management, and testing suite designed for organizations that need to oversee AI models across their lifecycle.
- Strength
- Integrates with 12+ major platforms and standards bodies, including AWS, GCP, Microsoft, ISO, and NVIDIA Inception.
- Watch for
- No public pricing is available; organizations must schedule a call to get a quote, which adds friction to evaluation.
Fiddler AI
- Pricing
- Custom/Contact sales
- Target
- MLOps and data science teams monitoring model performance
- Deployment
- SaaS and on-premises
- Strength
- Model observability and explainability for enterprise ML
- Watch for
- Pricing can escalate with model volume and deployment scale
WitnessAI
- Pricing
- Custom/Contact sales
- Target
- Security teams governing AI usage and data leakage
- Deployment
- SaaS
- Strength
- AI security and governance focused on data loss prevention
- Watch for
- Narrower scope than full AI observability platforms
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Sources
Reporting on this tool draws on these publicly available sources.