AI systems can help a business make better calls and also handle complicated operations on their own, but they bring along hazards that normal, conventional software testing can easily overlook. You can end up with slanted outcomes, thin security guardrails, and AI outputs that are kind of unreliable, and those issues can then trigger operational trouble or even regulatory exposure.
An AI audit basically lets an enterprise look into how the model behaves and what technical setup sits underneath it. The next set of companies, they offer services that span app audits, security testing, algorithm evaluations, and also AI governance consulting.
Best 12 AI audit companies for enterprises
- Cleveroad
- Holistic AI
- BABL AI
- Credo AI
- Trail of Bits
- HiddenLayer
- NCC Group
- Deloitte
- PwC
- KPMG
- EY
- Grant Thornton
How we selected the companies
We did an evaluation of 12 providers, based on what we could see through their official websites and profiles listed on directories like Clutch, G2, Gartner Peer Insights, and The Manifest. For businesses publishing comparison articles and industry research, a strong Content Strategy is equally important. Content should be structured around genuine user questions, supported by trustworthy sources, and updated as technologies, regulations, and market conditions change. As AI-powered search becomes more prominent, clearly organized research, original analysis, and transparent selection criteria can help articles remain useful and visible across both traditional search engines and AI-generated search results. We also looked at publicly accessible info from groups such as Forrester, NIST, ISO, and the OECD, basically cross checking where possible.
The selection centered around technical auditing abilities, experience working with enterprise systems, support for major AI governance frameworks, and evidence you can verify like certifications or some kind of industry recognition. No outside specialists were interviewed for this particular ranking, and we did not bring in external views on purpose.
When the pricing details, or similar review evidence wasn’t available, we labeled those items as not publicly disclosed.
1. Cleveroad
Founded in: 2011
Headquarters: Tallinn, Estonia
Hourly rate: $50 to $99
Industry expertise: Healthcare, FinTech, logistics, education
Reviews: 79 reviews on Clutch, average rating 4.9/5
Cleveroad provides ai audit services for enterprises that are getting ready to modernize, scale, or just improve an AI-powered application, a bit more smoothly. Their specialists review how the model behaves, whether the dataset is really up to standard, how the application architecture is set up, and also what security controls are in place.
And yes, the audit can touch the APIs too, plus the backend, cloud infrastructure, and all the data pipelines that sit around the model. Cleveroad also holds ISO 9001 and ISO 27001 certifications, so it’s kind of a clear signal of their dedication to quality management and information security.
Beyond enterprise AI systems, organizations should also evaluate the security and reliability of everyday digital tools used by their marketing and content teams. For example, an Instagram Video Downloader can help users save publicly available Instagram videos for offline reference, content analysis, or campaign research. Before using any online downloader, businesses should review its data-handling practices, avoid tools that request unnecessary account credentials, and ensure downloaded content is used with the creator’s permission and in accordance with applicable copyright rules.
2. Holistic AI
Founded in: 2019
Headquarters: London, United Kingdom
Hourly rate: Not publicly disclosed
Industry expertise: Financial services, insurance, technology, public sector
Reviews: No verified company-level Clutch reviews located
Holistic AI kind of leans into algorithm audits and the broader enterprise AI governance angle. What they do includes assessments around bias, privacy, explainability, model effectiveness, plus robustness maybe not always in that order.
Enterprises can also run their platform to keep an AI inventory updated, and to gather compliance evidence, in a pretty steady way. The company helps with getting ready for the EU AI Act and ISO/IEC 42001, and their tools have shown up in the OECD Catalogue of Tools and Metrics for Trustworthy AI.
3. BABL AI
Founded in: 2018
Headquarters: Iowa City, United States
Hourly rate: Not publicly disclosed
Industry expertise: Technology, employment, financial services, public sector
Reviews: No verified company-level Clutch reviews located
BABL AI runs independent algorithm audits and responsible AI reviews, kind of like they don’t really “wait” for anything. Its auditors look into how the model performs, but also fairness, accountability, and transparency, all of that together.
In addition, the company assists enterprises with checking their preparedness for the EU AI Act and setting up governance routines for high risk systems. BABL AI also backs professional education via an AI and Algorithm Auditor certification program, so people can learn the process, rather than just hear about it.
4. Credo AI
Founded in: 2020
Headquarters: Palo Alto, United States
Hourly rate: Not publicly disclosed
Industry expertise: Financial services, healthcare, technology, government
Reviews: Product feedback available through enterprise case studies
Credo AI kind of mixes governance software with sort of advisory services. The platform seems to help companies inventory their AI systems, sort use cases, judge vendors, and also collect evidence for the audits, you know.
Then the policy packs link the EU AI Act together with NIST AI RMF and ISO/IEC 42001, but in a way that turns requirements into practical controls. Also, Forrester tagged Credo AI as a Leader in their 2025 evaluation for AI governance solutions.
5. Trail of Bits
Founded in: 2012
Headquarters: New York, United States
Hourly rate: Not publicly disclosed
Industry expertise: Technology, defense, financial services, blockchain
Reviews: No verified company-level Clutch reviews located
Trail of Bits looks at AI auditing pretty much like security engineering, sorta. Their specialists test the models that are already in the world, and they also poke at the machine learning pipelines underneath it all.
In the process, the assessments can turn up prompt injection weak spots, model extraction dangers, training data exposure, or a bunch of insecure infrastructure bits. They’ve also gotten plaudits for their cybersecurity research, plus they put out open-source security tools that people actually use.
6. HiddenLayer
Founded in: 2019
Headquarters: Austin, United States
Hourly rate: Not publicly disclosed
Industry expertise: Financial services, defense, healthcare, technology
Reviews: No verified company-level Clutch reviews located
HiddenLayer delivers AI security assessments, model scanning, and red-team testing, sort of in a end to end way. Their platform can sniff out harmful model files, spot adversarial attacks, and expose issues across the AI supply chain.
With continuous monitoring, security teams can keep an eye on new threats after deployment, not just in the early stage. HiddenLayer also got recognition via the RSA Conference Innovation Sandbox, which is pretty notable, even if it sounds a bit abstract at first.
7. NCC Group
Founded in: 1999
Headquarters: Manchester, United Kingdom
Hourly rate: Not publicly disclosed
Industry expertise: Financial services, government, healthcare, critical infrastructure
Reviews: No comparable company-level Clutch review count
NCC Group looks at AI systems, in a pretty hands on kind of way, via penetration testing , threat modeling , and a few governance reviews that help tie it all together. Their specialists check out large language model applications, along with the cloud environments that basically hold everything up.
What they find can be matched back to the NIST AI RMF, ISO/IEC 42001, plus OWASP advice specifically meant for LLM applications. And because they come from a solid cybersecurity background, the company is a good fit for technically focused enterprise audits, not just the surface level ones.
8. Deloitte
Founded in: 1845
Headquarters: London, United Kingdom
Hourly rate: Not publicly disclosed
Industry expertise: Financial services, healthcare, government, manufacturing
Reviews: Enterprise advisory reviews are not consolidated on Clutch
Deloitte is offering AI assurance kind of through its tech and risk advisory practices, yes, and it can feel a bit like a mesh of both. Basically its teams review how governance is set up, they look into model controls, check regulatory readiness, and review the data management processes.
And beyond that, the firm can help enterprises build AI inventories, then decide who owns what, especially for those high risk systems. Also, Deloitte’s international footprint fits multinational organizations that already run mature corporate risk programs, so the transition is usually smoother than starting from scratch, or so it seems.
9. PwC
Founded in: 1998
Headquarters: London, United Kingdom
Hourly rate: Not publicly disclosed
Industry expertise: Financial services, consumer markets, healthcare, public sector
Reviews: Enterprise advisory reviews are not consolidated on Clutch
PwC does responsible AI assessments and model risk reviews, basically. Their specialists look at security, fairness, explainability, and also human oversight, right. They do it in a way where technical signals are tied back to wider business risks so leadership teams can grasp how one specific AI system really influences day to day corporate processes. And because PwC has this international network it can help with consistent governance across a few jurisdictions, even when the rules differ a bit, not always neatly.
10. KPMG
Founded in: 1987
Headquarters: Amstelveen, Netherlands
Hourly rate: Not publicly disclosed
Industry expertise: Banking, insurance, energy, public sector
Reviews: Enterprise advisory reviews are not consolidated on Clutch
KPMG looks at how AI governance is handled, like model performance, the way data is used, and the regulatory exposure that might come along with it. They have a Trusted AI framework which is built around ideas like fairness, resilience, integrity, and accountability, not just one thing.
In practice, the firm also assists enterprises to set up model inventories and to weave AI oversight into the risk functions that they already have in place. That overall method feels especially relevant for regulated organizations, where compliance and controls are never really optional.
11. EY
Founded in: 1989
Headquarters: London, United Kingdom
Hourly rate: Not publicly disclosed
Industry expertise: Financial services, healthcare, automotive, energy
Reviews: Enterprise advisory reviews are not consolidated on Clutch
EY provides AI assessments through its assurance and technology risk practices, kind of like, an extra lens on what’s going on under the hood. Their services may include model governance, data lineage, algorithm performance, and post deployment monitoring, depending on what the enterprise needs at the time.
EY also evaluates third party AI products when a company cannot directly inspect the underlying training data, and that limitation matters more than people think. Industry specialists at EY then map the technical findings to sector requirements, so the results don’t just sit there on paper.
12. Grant Thornton
Founded in: 1924
Headquarters: Chicago, United States
Hourly rate: Not publicly disclosed
Industry expertise: Financial services, healthcare, manufacturing, technology
Reviews: Enterprise advisory reviews are not consolidated on Clutch
Grant Thornton helps enterprises take a look at AI governance maturity, and also sort out who is truly responsible for those high risk systems. Their specialists are able to spot places where the documentation is incomplete, where monitoring processes are kind of thin, or where the ownership is not really clear at all. And beyond that, the firm supports leadership teams in weaving AI supervision into wider compliance programs.
How to choose an AI audit company
Define why you’re doing the audit first, before you go on and compare providers. A technical audit should look into the model, the application infrastructure, and the security controls, not just one piece at a time. A regulatory assessment should, in addition, touch the documentation side and the human oversight angle.
Cleveroad tends to be a pretty practical pick when an enterprise needs to inspect an AI enabled application and then roll out technical improvements right after. Specialist firms like Holistic AI and BABL AI tend to focus on algorithmic assurance, more or less in that narrow lane. Bigger advisory companies are usually a better fit for organizations that want to merge AI governance with broader corporate compliance programs.
