Gradient Labs vs Kore.ai (2026)
The decision is whether you want one agent that finishes a narrow class of work or a platform on which you build an estate. Gradient Labs sells the first: Otto reasons through a query and takes the action, freezing a card, filing a dispute, running a due diligence check, under more than twenty compliance guardrails per turn and deliberately exposed to only the one or two tools each procedure needs, which is constraint used as a safety mechanism. Kore.ai sells the second, a banking application on an enterprise agent platform reaching more than forty channels through more than three hundred integrations. Each has done something to earn trust that the other has not, and neither has done the thing this lane never does. Gradient Labs prices on outcomes, so unresolved or reopened cases cost the vendor revenue, which puts its own money against its performance. Kore.ai has submitted to a government operated security assessment with a defined baseline and a sponsoring agency, which is why it holds A on security certifications and deployment residency. Both still grade C on liability and recourse, and Kore.ai's marketplace leaves a further question open about who answers when a partner supplied agent is wrong.
- You want the query resolved, not deflected. Otto reasons through a query and takes the action, freezing a card, filing a dispute or running a customer due diligence check, rather than routing to a help centre, and it works across voice, text and email frontline support as well as back office investigations.
- Constraint is the safety mechanism you trust. More than twenty compliance guardrails are applied on every turn, procedures are written by the institution in plain English, and the agent is deliberately exposed to only the one or two tools a given procedure needs, which limits what a wrong reasoning step can reach.
- You want the vendor's revenue tied to being right. Gradient Labs prices on outcomes, so unresolved or reopened cases cost it money, which is why it holds B on commercial transparency where Kore.ai grades C. Read it as alignment rather than as a liability commitment.
- You are buying a platform to build on, not a single agent. Kore.ai ships AI for Banking as a pre built application on its agent platform, with banking specific intents, workflows and compliance controls covering retail, commercial and wealth management across account support, card servicing, fraud resolution and loan servicing.
- Channel and system reach is the requirement. More than forty voice and digital channels including interactive voice response, messaging and live agent handover, and more than three hundred integrations into core banking, payment platforms, customer relationship management, risk engines and data warehouses, earn Kore.ai A on core systems and integration depth and A on institution and segment coverage.
- Your security and residency review is the gate. A Federal Risk and Authorization Management Program moderate authorisation is a government operated assessment with a defined baseline and a sponsoring agency, paired with payment card industry certification, and Kore.ai holds A on security certifications and A on deployment residency where Gradient Labs grades B and C.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Gradient Labs and Kore.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
| Gradient Labs | Kore.ai | |
|---|---|---|
| Primary category | Customer & Banking Agents | Customer & Banking Agents |
| Founded | 2023 | Not published |
| Headquarters | London, England, United Kingdom | Not published |
| Website | gradient-labs.ai | www.kore.ai |
Side by Side
| Axis | G Gradient Labs |
K Kore.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
Gradient Labs
Gradient Labs builds Otto, an autonomous customer operations agent for regulated financial services, which does not deflect to a help centre but reasons through a query and takes the action, freezing a card, filing a dispute or running a customer due diligence check, with more than twenty compliance guardrails applied on every turn. It follows procedures the institution writes in plain English, deliberately exposes only the one or two tools a given procedure needs, and works across voice, text and email frontline support as well as back office investigations, sitting over existing helpdesks. The AI FinTech Index grades it A on AI centrality, operational and outcome evidence and core systems and integration depth, with B on commercial transparency, institution coverage, AI safety, autonomy and oversight, regulatory status, model risk management, security certifications and model supply chain disclosure, documenting five of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. It prices on outcomes, so unresolved or reopened cases cost it revenue. GLBA posture, governance and bias disclosure, deployment residency and liability and recourse are graded C.
Source: AI FinTech Index, 2026
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 customers through more than forty voice and digital channels and connects agents to core banking, payment platforms, customer relationship management, risk engines and data warehouses 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
Common questions
Is Gradient Labs better than Kore.ai?
They are different purchases. Gradient Labs sells one agent that completes a defined class of customer operations work end to end, tightly constrained by guardrails and by only exposing the tools each procedure needs. Kore.ai sells an enterprise agent platform with a pre built banking application on top, reaching more than forty channels through more than three hundred integrations. The AI FinTech Index grades Kore.ai at six of the nine regulatory axes and Gradient Labs at five. If you want a narrow set of tasks genuinely finished, Gradient Labs. If you are standardising an agent estate across retail, commercial and wealth, Kore.ai.
If the agent gets it wrong, who is responsible?
Neither, and this index has already recorded that as the position across this lane rather than a failing of either. What is worth knowing is which comes closest. Gradient Labs prices on outcomes, so it earns on resolutions and unresolved or reopened cases cost it revenue, which puts the vendor's money against its own performance without ever becoming a liability term. Kore.ai publishes no error rate, remediation commitment or correction path, and its marketplace adds an unanswered allocation question between a partner agent's author, the platform and the bank whose name is on the conversation. Ask both who pays when the agent is wrong, and expect the contract rather than the website to answer. 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 will clear a government or bank security review?
Kore.ai, and it is the widest gap on this page. It holds a Federal Risk and Authorization Management Program moderate authorisation, which is a government operated assessment against a defined baseline with a sponsoring agency, plus payment card industry certification, earning A on security certifications, and it holds A on deployment residency with on premises among the options. Gradient Labs grades B on security certifications and C on deployment residency. If your constraint is a public sector or heavily supervised procurement, that difference will decide the evaluation before anything about agent quality is discussed. 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 Gradient Labs and Kore.ai?
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. Kore.ai documents six of the nine regulatory axes at A or B and Gradient Labs five, against an index average of 2.93 across 489 vendors. Gradient Labs holds A on AI centrality, operational evidence and core systems integration, with B on commercial transparency, institution coverage, AI safety, autonomy, regulatory status, model risk, security certifications and supply chain, and C on GLBA posture, governance and bias, deployment residency and liability. 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.
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.
This index has already recorded that none of the best documented vendors in this lane publishes liability and recourse for agent errors, and both vendors here sit inside that finding at C. What distinguishes them is how close each gets without arriving. Gradient Labs comes nearest of anyone here by pricing on outcomes, so unresolved or reopened cases cost it revenue, which is a real incentive and still not a commitment to bear the consequences of being wrong.
No accuracy guarantee, no remediation term, and no described route for someone whose card was frozen in error or whose dispute the agent declined, which matters more than in advisory products because the agent takes the action rather than recommending it.
Kore.ai adds a question its architecture creates: when a pre built or partner supplied agent from the marketplace gives a bank's customer wrong information, nothing states where responsibility sits between the component's author, the platform distributing it and the institution whose name appears on the conversation. Both grade C on AI governance and bias disclosure.
Kore.ai's exposure is concrete because of where the agents operate, since loan servicing, fraud resolution and card blocking are consumer facing decisions and a fraud resolution agent treating some customers' disputes differently from others produces exactly the uneven outcome this axis exists to detect. Gradient Labs runs across voice, text and email in two continents with nothing published breaking resolution or escalation rates down by language, accent or customer segment.
The supply chain positions differ in a way that favours the smaller vendor: Gradient Labs discloses through a failover design that multiple external model providers sit in the path, which is more than most manage, while Kore.ai names no provider, family or version for the agents it supplies itself.