Corlytics vs Norm Ai (2026)
One vendor built a human review chain and publishes it; the other argues on the record that human review is the bottleneck to remove. That is the real choice here and it sits deeper than any feature list. Corlytics describes an oversight chain with named roles, a compliance analyst assessing a source, a content specialist setting what gets ingested, the work returning to a compliance analyst and a quality assurance team checking completeness before anything reaches a client, plus a named override path where a language model summary can be replaced by one written manually. Norm Ai is the most autonomy forward vendor in this index and says so directly: its platform autonomously produces findings by executing modules against an artifact, and its founder's stated rationale for regulatory agents is that human compliance staff are inevitably too slow to review the outputs. That candour earns credit and costs it the oversight grade. The products differ accordingly. Corlytics manages regulatory change across more than 120 countries and 2,500 authorities and maps it onto internal policies and controls. Norm Ai encodes regulations and internal policies as executable decision trees that agents traverse against a submitted document, a marketing piece or a communication, and returns a determination, which is closer to a legal opinion than to a monitoring feed.
- Regulatory change is the workload. Coverage spans more than 120 countries and 2,500 authorities with original language text, translations and redlined version comparison, mapped onto internal policies and controls with attestation and traceability, so a firm can evidence to a supervisor how a change was assessed, implemented and communicated.
- Published human oversight is a control your second line requires. The review chain is described with named roles rather than asserted as human in the loop, and the most error prone output, the machine written summary, has a stated manual replacement path.
- Evidence has to be checkable before you buy. A global bank and a major professional services firm each sold this vendor a product they had built, and named clients include ING, BNY Mellon, Scotiabank, Swiss Re, SCOR and a national securities regulator as a customer.
- Data segregation and governance certification matter. Client data sits in tenanted databases and a certified artificial intelligence management system covers the model lifecycle under independent audit, where the alternative publishes no model provider at all.
- The unit of work is an artifact, not a rule change. A compliance or business user submits a document, a marketing piece or a communication and the relevant regulatory agent runs against it and returns findings, which is a different job from monitoring what regulators published this week.
- Traceability to the provision is the transparency you need. Because regulations are encoded through a proprietary representation language into decision trees that agents traverse, a finding traces back to the specific encoded provision that produced it rather than emerging from a score, which very few AI compliance products offer.
- You want someone carrying professional liability. An affiliated law firm sits alongside the software business, led by a former chair of a major firm's executive committee and staffed by former partners from a dozen leading practices, billing on outcomes rather than hours, so a determination delivered through that arm sits inside a liability regime with a regulator and an insurer behind it.
- Nothing sellable should survive removing the AI. This is an A on centrality because the act that creates the value, judging a document against an encoded provision, is entirely model work, where the alternative would still have a large saleable content operation without its models.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Corlytics and Norm Ai are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Corlytics | Norm Ai | |
|---|---|---|
| Primary category | Compliance, Surveillance & RegTech | Compliance, Surveillance & RegTech |
| Founded | Not published | Not published |
| Headquarters | Dublin, Ireland | New York, New York, United States |
| Website | www.corlytics.com | www.norm.ai |
Side by Side
| Axis | C Corlytics |
N Norm Ai |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
Corlytics
Corlytics sells regulatory risk intelligence and policy compliance software to financial institutions and to regulators themselves, classifying regulatory text across more than 120 countries and 2,500 authorities, extracting obligations, entities and dates, and mapping change onto internal policies and controls with attestation and traceability. The AI FinTech Index records an oversight chain described with named roles rather than asserted, including a stated manual replacement path for machine written summaries, and an A on outcome evidence earned when a global bank and a major professional services firm each sold the company a product they had built. The index records the gaps: no published pricing, no precision or recall for obligation extraction, and no model provider or hosting arrangement named for an engine described only as its own large language model.
Source: AI FinTech Index, 2026
Norm Ai
Norm Ai converts regulations and internal policies into executable form, encoding them through a proprietary representation language as decision trees that language model agents traverse against a firm's actual artifacts, returning findings on a submitted document, marketing piece or communication, and it operates an affiliated law firm delivering legal work on outcome based pricing. The AI FinTech Index records it at A on AI centrality, since removing the models leaves a machine readable rulebook nobody can apply at scale, and at B on liability because part of the group carries professional obligations and malpractice exposure no other indexed vendor holds. The index records it as the most autonomy forward vendor it covers, with the founder arguing human compliance staff are too slow to review outputs, and records no named client, no published accuracy figure, and no disclosure of which models traverse the decision trees or whether submitted artifacts leave the customer environment.
Source: AI FinTech Index, 2026
Common questions
Is Corlytics better than Norm Ai for compliance?
They solve adjacent problems. Corlytics manages regulatory change across more than 120 countries and 2,500 authorities and maps it to internal policies and controls, with a published human review chain and the only A on outcome evidence in this pairing. Norm Ai encodes regulations as executable decision trees and returns a determination on a submitted artifact, earning an A on AI centrality and a unique liability position through an affiliated law firm. If the workload is regulatory change, it is the first; if it is reviewing documents against rules, it is the second. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 5, 2026. No vendor pays for placement.
What is Norm Ai's position on human review?
Explicit and unusually candid. The platform is described as autonomously producing findings by executing modules against an artifact, and the founder's stated rationale for regulatory agents is to enable deployment of other agents in high stakes workflows where human compliance staff are, in his words, inevitably too slow to review the outputs. The AI FinTech Index credits the candour and grades the axis at C, because nothing public describes a mandatory review step, an escalation path, a confidence threshold forcing referral, or how a compliance officer contests a determination before it becomes the firm's record.
Why does Norm Ai hold an unusual position on liability?
Part of the group is a law firm whose partners carry professional obligations and malpractice exposure for the advice they give, and it bills on outcomes rather than hours, which makes it structurally accountable in a way no other vendor in this index is. The unresolved part is the boundary: nothing published states what the software itself warrants, how privilege attaches to work passing between the two entities, or where a software determination ends and legal advice begins. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 5, 2026. No vendor pays for placement.
Why does Norm Ai earn an A on AI centrality where Corlytics earns a B?
The removal test separates them. Strip the models from Norm Ai and what remains is a machine readable rulebook nobody can apply at scale, because the act that creates the value is a model reading a marketing piece or a communication and judging it against an encoded provision. Strip the models from Corlytics and a very large regulatory content operation remains, spanning 120 countries and 2,500 authorities with legal and compliance analysts who can write summaries manually, plus an acquired policy management platform that was standalone until 2023. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 5, 2026. No vendor pays for placement.
What should diligence establish at both?
At Norm Ai, ask which models traverse the decision trees and who supplies them, whether submitted artifacts leave your environment, who reviews the encodings since turning a provision into a decision tree is an act of legal interpretation, and how a firm challenges a finding it believes wrong. At Corlytics, ask for precision and recall on obligation extraction and classification, and for the model provider behind an engine described only as its own. At both, ask for pricing basis, hosting region and the security attestations their existing institutional clients will already have required. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified September 5, 2026. No vendor pays for placement.
How does the AI FinTech Index grade Corlytics and Norm Ai?
Both are graded on the same fifteen capability axes from public sources, each grade traceable to its artifact. The index records Corlytics with an A on outcome evidence and an A on institution coverage, and B grades on oversight, data stewardship and model risk transparency. It records Norm Ai with an A on AI centrality, a B on liability that no other vendor in the index holds for the same reason, and a C on oversight earned by an explicit argument against human review as a bottleneck. The index publishes no composite score and declares no winner.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Compliance, Surveillance & RegTech page.
The gaps run in opposite directions and both matter. Norm Ai holds the lower supply chain grade in this pairing and one of the lowest in the index: no public material identifies which language models traverse the encoded decision trees, who supplies them, or whether artifacts submitted for review leave the customer environment to reach them, and the material under review includes client communications, marketing and deal documents at institutions where confidentiality is contractual, with the affiliated law firm adding a second boundary nobody has mapped publicly.
Its operational evidence is close to absent despite a client base described as representing more than 30 trillion dollars in assets under management, because assets under management behind a customer list describes the calibre of the buyer rather than the performance of the software: no client is named, no accuracy figure is published and no case study reports a before and after.
Corlytics refers to its engine only as its own large language model, naming no provider, architecture or hosting arrangement, and publishes no precision, recall or extraction accuracy for obligation extraction, classification or summarisation, all testable against a known corpus. Both are C on commercial transparency, hosting and residency, and security attestations. Neither publishes how consistently its system reaches the same determination on the same input.