Kore.ai vs Omilia (2026)
The decision is whether you are certifying an estate or certifying a transaction, because both vendors have done the rarer thing in this lane and submitted to a formal assessment, and they submitted different things. Kore.ai holds a Federal Risk and Authorization Management Program moderate authorisation, a government operated review of its own control environment against a defined baseline with a sponsoring agency, which is what sits behind its A on security certifications and deployment residency. Omilia certified a function rather than a platform, taking payment capture to the highest card industry tier with real time redaction so card data is never stored in clear text. One is an assessment of the vendor, the other of a specific thing the vendor does. Where that leaves a buyer is the useful part. Omilia is the better documented at seven of nine and holds the only A on model risk management on this page, and it names no biometric data regime anywhere while enrolling callers into voice biometrics in markets that regulate voiceprints separately. Certifying how card numbers are handled answers nothing about what a caller is told before their voice becomes a credential.
- The estate is the purchase, not the phone line. Kore.ai spans retail, commercial and wealth management across account support, card servicing, fraud resolution and loan servicing, through more than forty channels and more than three hundred integrations into core banking, payment platforms, risk engines and data warehouses, holding A on institution and segment coverage and A on core systems.
- You want the vendor's own environment assessed by a government programme. A Federal Risk and Authorization Management Program moderate authorisation carries a defined baseline and a sponsoring agency, which is an admission process rather than a badge, and it underpins A on security certifications and A on deployment residency where Omilia grades B on both.
- You want to bring your own models. The platform is positioned as model agnostic with developers able to integrate advanced models of their own choosing, and deployment options including on premises give the institution a route to control that question itself.
- The phone is where your losses and your friction are. Omilia runs a stack built over two decades with more than 300 models trained on banking and finance intents, and holds A on model risk management and transparency, the strongest grade on that axis on this page, alongside A on operational and outcome evidence with named users including two of the largest United States card issuers and a major Canadian bank.
- Payments over the phone must be certified rather than merely secure. Payment capture is certified to the highest card industry compliance tier through both speech and keypad, with real time redaction so card data is never stored in clear text, which is an audited certification of the specific function rather than a general assurance.
- Caller authentication is the problem you are buying. Passive and active voice biometrics combine with real time detection of deepfakes, synthetic callers, spoofed numbers and replay attacks, at a depth a general agent platform does not attempt.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Kore.ai and Omilia 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
| Kore.ai | Omilia | |
|---|---|---|
| Primary category | Customer & Banking Agents | Customer & Banking Agents |
| Founded | Not published | 2002 |
| Headquarters | Not published | Larnaca, Cyprus |
| Website | www.kore.ai | omilia.com |
Side by Side
| Axis | K Kore.ai |
O Omilia |
|---|---|---|
| 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
Kore.ai
Kore.ai builds an enterprise agent platform on which organisations design, deploy, govern and optimise AI agents, and ships AI for Banking as a pre built application on top for banks and credit unions, carrying banking specific intents, workflows and compliance controls across retail, commercial and wealth management covering account support, card servicing, fraud resolution and loan servicing. It reaches more than forty voice and digital channels and connects through more than three hundred integrations. The AI FinTech Index grades it A on AI centrality, institution and segment coverage, core systems and integration depth, deployment model and data residency and security certifications and trust centre, with B on operational evidence, GLBA posture, AI safety, autonomy and oversight, regulatory status and model risk management, documenting six of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. It holds a Federal Risk and Authorization Management Program moderate authorisation and payment card industry certification. Commercial transparency, governance and bias disclosure, model supply chain disclosure and liability and recourse are graded C.
Source: AI FinTech Index, 2026
Omilia
Omilia runs a fully proprietary conversational AI stack for enterprise contact centres, built over two decades and comprising its own speech recognition, voice biometrics, dialogue management and speech synthesis. Its financial services line ships more than 300 models trained on banking and finance intents, handles payment capture to the highest card industry compliance tier through both speech and keypad with real time redaction so card data is never stored in clear text, and combines passive and active voice biometrics with real time detection of deepfakes, synthetic callers, spoofed numbers and replay attacks. The AI FinTech Index grades it A on AI centrality, operational and outcome evidence, model risk management and transparency and model supply chain disclosure, with B on institution coverage, GLBA posture, autonomy and oversight, regulatory status, integration depth, deployment residency and security certifications, documenting seven of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. Named users include two of the largest United States card issuers and a major Canadian bank. Commercial transparency, AI safety, governance and bias disclosure and liability and recourse are graded C.
Source: AI FinTech Index, 2026
Common questions
Is Kore.ai better than Omilia?
They solve different sized problems. Kore.ai is a platform for an agent estate, spanning retail, commercial and wealth across more than forty channels with more than three hundred integrations, backed by a government security authorisation. Omilia is a specialist in the voice channel, running its own speech, biometrics, dialogue and synthesis stack with certified payment capture and deepfake resistant caller authentication. The AI FinTech Index grades Omilia at seven of the nine regulatory axes and Kore.ai at six. If you are standardising agents across the bank, Kore.ai. If the phone line is the specific problem, Omilia.
Has anyone independent assessed either of these?
Both have, and they bought different things, which is the most useful distinction on this page. Kore.ai holds a Federal Risk and Authorization Management Program moderate authorisation, a government operated assessment of its own control environment against a defined baseline with a sponsoring agency, plus payment card industry certification. Omilia holds payment card certification at the highest tier for the specific function of capturing a payment over the phone, with real time redaction so card data is never stored in clear text. One examined the platform, the other certified a transaction. Neither has been tested by a financial supervisor, which is why both grade B on regulatory status. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Which one names the regulator it works under?
Neither names one, and for Omilia that is the more consequential silence. It enrols callers into passive and active voice biometrics, and voice biometrics are separately regulated in several of the markets it serves, yet no financial supervisor, conduct rule or biometric data regime appears in its material. A certification covering how card numbers are handled does not answer what lawful basis supports holding a voiceprint, what callers are told, or whether they can decline enrolment. Kore.ai names no financial supervisor either, and its exposure runs through consumer facing decisions in loan servicing, fraud resolution and card blocking rather than through biometric data. Put the biometric consent question to Omilia before anything else. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
How does the AI FinTech Index grade Kore.ai and Omilia?
Both are graded on the same fifteen capability axes, with every grade traceable to the public artifact it was read from and the date it was verified, and the index publishes no composite score. Omilia documents seven of the nine regulatory axes at A or B and Kore.ai six, against an index average of 2.93 across 489 vendors. Kore.ai holds A on AI centrality, institution coverage, core systems integration, deployment residency and security certifications, with B on operational evidence, GLBA posture, AI safety, autonomy, regulatory status and model risk, and C on commercial transparency, governance and bias, supply chain and liability. Omilia holds A on AI centrality, operational evidence, model risk management and model supply chain disclosure, with B on institution coverage, GLBA posture, autonomy, regulatory status, integration depth, deployment residency and security certifications, and C on commercial transparency, AI safety, governance and bias and liability.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Customer & Banking Agents page.
Both vendors have submitted to formal certification, which is rarer in this lane than it should be, and both stopped at the edge of what they certified. Kore.ai's Federal Risk and Authorization Management Program moderate authorisation and payment card certification assess the platform's own control environment and its handling of card data, and no financial supervisor has tested the banking agents themselves, which is what holds its regulatory status at B. Omilia's certification is narrower and deeper, covering payment capture at the highest card industry tier with real time redaction, and the gap beside it is specific: no financial supervisor, conduct rule or biometric data regime is named anywhere, which matters because voice biometrics are separately regulated in several of the markets Omilia serves and the product enrols callers into biometric authentication.
A certification of how card numbers are handled says nothing about the lawful basis for holding a voiceprint. Both grade C on AI governance and bias disclosure and C on liability and recourse, consistent with what this index has already recorded across this lane, and the exposures sit in different places.
Kore.ai's agents operate at loan servicing, fraud resolution and card blocking, where a fraud resolution agent treating some customers' disputes differently from others produces exactly the uneven outcome the axis exists to detect, and its marketplace leaves unstated where responsibility sits when a partner supplied agent tells a bank's customer something wrong.
Omilia's published word error rate is an average that says nothing about who sits at its tail, and a caller whose voice authenticates poorly faces additional friction proving they are themselves. Kore.ai additionally grades C on model supply chain disclosure.