Compliance, Surveillance & RegTech
R

Rulebase

Rulebase reviews every customer interaction a financial services firm has, across calls, chats and emails, replacing the three to five percent sample a human quality assurance team can manage with full coverage scored against the firm's own procedures. It flags compliance breaches, skipped authentication and service failures in real time rather than in a post call review days later, coaches agents individually from what it finds, routes issues into the tools teams already work in, and runs agents that carry disputes and stalled onboarding cases through to resolution.

Last VerifiedAugust 8, 2026
Compare Rulebase with other vendors
Founded
2024
Headquarters
New York, New York, United States
Website
rulebase.co
Categories
compliance-and-surveillance, customer-banking-agents
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 10 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

The entire proposition is a change of scale that only models make possible. Quality assurance teams at financial institutions manually review three to five percent of interactions, and Rulebase reviews all of them in real time against the firm's own procedures. Remove the models and the product collapses back to sampling, which is the status quo it exists to replace. Speech transcription, protocol adherence judgement and risk classification across calls, chats and emails are all inference work with no rules based substitute.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

The founding team states the design constraint explicitly, that agents must work across tools without losing the human in the loop oversight financial firms demand, and the mechanism matches it: findings are flagged and routed to the right teammate, and managers are alerted the moment a conversation goes off track so a supervisor can intervene while it still matters. Custom scorecards mean the assessment criteria belong to the firm. Less described is the newer agent line that carries disputes and stalled onboarding cases through to resolution, which involves outbound customer contact with no stated approval gate.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

Custom scorecards give the firm ownership of the criteria, so what is being assessed is inspectable even if how it is assessed is not. The headline claim needs care, because full coverage is a coverage statistic and not an accuracy one: reviewing every interaction with an unmeasured detector is not the same as catching every violation, and a firm that replaces sampling with automation and no published recall has traded a known small sample for an unknown detection rate. No accuracy, false negative rate, evaluation methodology or model documentation was located.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

For a company founded in 2024 the evidence is unusually concrete. A business banking platform is named as a customer under a multi year agreement announced publicly, with its head of compliance quoted on the record saying the platform catches what sampling never could, and a large unnamed financial institution is cited as a second deployment. Outcome claims are specific, citing up to 30 percent fewer escalations and quality assurance cycles compressed from hours to minutes. What is missing is measurement attributable to a named deployment, and the company is small enough that delivery capacity is a fair question for a regulated buyer.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Vendor Published

Zero training on customer data is the clearest cross client boundary statement encountered anywhere in this index. Five other vendors here describe models that improve across their customer base without ever defining what crosses between competitors; Rulebase forecloses the question in one line. Assessments are scored against each firm's own procedures rather than a generic standard, which keeps behaviour customer scoped. Not addressed: which model providers process the conversations, whether transcription is performed in house, and how detection quality is evaluated.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

The published position is more specific than most in this index. Data is encrypted at rest with 256 bit encryption and in transit, cardholder data is handled under the payment card security standard, operations run from Ireland with storage in European data centres under the European data protection regime, and the company states plainly that customer data is never used to train its models. That last commitment answers the question most peers leave open. Absent are a subprocessor list, a retention schedule, and any statement addressing United States financial privacy service provider obligations.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognised certification named in the vendor’s own material without the artefact, or with a scope or renewal question the buyer has to raise.
Vendor Published

Attestations are named specifically rather than implied, covering a service organisation control type two report, the payment card industry data security standard and European data protection compliance, presented on a dedicated security page alongside concrete technical detail on encryption at rest and in transit. Naming the standards is what separates this from the vendors asserting that they maintain certifications without saying which. What is absent is a trust centre, a report request path, and any stated audit period or scope.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

Rulebase supplies software and holds no licence, the expected posture, and it attests to one formally assessed standard directly relevant to its own operations, the payment card industry data security standard, alongside European data protection compliance.

Product scope engages named risks rather than compliance in the abstract, including customer authentication being skipped during service calls, which is a fraud control failure, and complaint categorisation, which touches complaint handling duties. No supervisory instrument is named as a design target in the way the strongest vendors in this lane now do.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

The people scored here are service agents, and the exposure is specific and severe in this deployment shape. The company markets to outsourced operations running up to a hundred thousand agents, where the workforce is overwhelmingly non native in the language being assessed, and the system judges protocol adherence, phrasing and tone from speech and text.

Recognition and classification accuracy vary materially by accent and register, so a scoring engine can systematically penalise agents for how they sound rather than what they did, and those scores drive coaching and performance records. No per accent or per language accuracy is published.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

Real time alerting is itself a form of correction, since a manager is notified while a conversation is still live and can intervene before the customer is harmed, and firm owned scorecards mean an agent can point at the criterion applied. Neither creates vendor accountability. No accuracy commitment, no remediation term where a missed violation later becomes an enforcement matter, and no described route for an agent to contest a score that has entered their performance record.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

Two disclosures do real work. The commitment that customer data is never used for training tells a buyer what does not flow outward, and the statement that storage sits in European data centres under Irish operations tells them where it rests, which together answer more of the chain than most vendors address at all. The remaining gap is the middle of it: no model or transcription providers are named, and no subprocessor list identifies whose infrastructure processes recorded customer conversations in flight.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Integrations are named rather than gestured at, covering the ticketing, issue tracking and messaging tools service teams already run alongside contact centre platforms, so findings land where the work happens instead of in a separate console. The company also publishes an unusual and falsifiable service commitment, undertaking to build any integration a customer needs within seven days, which is the kind of promise a buyer can hold it to. Public developer documentation, a status page and a partner directory were not located.

Deployment Model and Data Residency
BB on Deployment Model and Data ResidencyStated residency commitments or regional hosting options.
Vendor Published

Among the few vendors in this index to state residency at all rather than leave it to inference. Operations run from Ireland and customer data is stored in European data centres under the European data protection regime, which tells a buyer where recorded conversations physically sit, and that is the disclosure most peers omit entirely.

What is not offered is choice or detail: no United States or other regional option is described for firms whose own regulators expect domestic storage, and no transfer mechanism or subprocessor chain is published.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

No rates, tiers or billing unit were located on the vendor's own material. The unit matters here because competitors in adjacent customer operations tooling publish per agent monthly pricing, so a buyer has a comparison basis available elsewhere and none from this vendor, and the value argument rests on displacing quality assurance headcount whose cost the buyer already knows.

Institution and Segment Coverage
CC on Institution and Segment CoverageSegments claimed broadly, banks, fintechs, credit unions, without evidence any of them has its own maintained surface.
Vendor Published

The focus is deliberate and narrow: fintechs and banks, plus the outsourced service providers that run their contact operations, addressed through a single function rather than a programme. Coverage runs from small in house teams to very large outsourced operations, which is a real span of deployment size. What it does not cover is institution type, with no material for credit unions, insurers, wealth managers or capital markets, and no treatment of channels outside customer service.

Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

Alternatives to Rulebase

The closest documented capability profiles to Rulebase in the same categories, ordered by similarity across the same fifteen axes the index grades every vendor on. Closest documented profile, not a claim that either product does the same job. No vendor pays for placement.

Stronger documented coverage on Autonomy and Oversight Model

Documents Institution and Segment Coverage where Rulebase does not

Documents Institution and Segment Coverage where Rulebase does not

Documents Institution and Segment Coverage where Rulebase does not

Documents Institution and Segment Coverage and Model Risk Management and Transparency where Rulebase does not

Documents Institution and Segment Coverage and Model Risk Management and Transparency where Rulebase does not

Similarity is computed axis by axis from published grades, not from a composite score. The index does not aggregate grades into a total. See the fifteen axes and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 549 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
September 18, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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