Boost.ai vs Kasisto (2026)
Breadth with audited controls against depth with a domain model, and both are assistant native, which puts this pair a grade apart from the channel platforms in the same lane. Boost.ai has sold conversational agents and nothing underneath them since 2016, more than 600 live agents across 450 organisations in four regulated sectors handling 150 million conversations a year, with the deepest Nordic reference base in the category and the fullest certification disclosure in this index, two ISO standards held group wide with implementation ratios published down to the control. Kasisto has stayed inside one industry for its whole life, a proprietary language model fine tuned exclusively on banking conversations, policies and filings, whose distinguishing behaviour is calibrated abstention, answering that it does not know rather than guessing, with named customers running from global banks to single branch credit unions and a 2026 acquisition folding it into a banking software group's operating system. The safety architectures are the choice: guardrails wrapped around generation with the failure modes named at one, abstention built into the model at the other, and neither publishes the measurement that would prove its mechanism works. The disclosure inversions decide the rest, published certifications against published integrations, since Boost.ai names no supported platform and Kasisto names no attestation.
- Your buyer set spans regulated sectors. Banks, insurers, telecommunications operators and public bodies run more than 600 live agents, with the no code builder keeping configuration in house.
- Your review verifies rather than trusts. Group wide ISO 27001 and 27701 with published implementation ratios and a trust centre give a security team something to check.
- Your reference bar is national institutions. DNB automates a stated 20 percent of customer service on the platform and its executive is quoted on the human machine balance.
- Your domain is banking and only banking. The proprietary model is fine tuned exclusively on banking conversations, policies and filings, and stays inside the industry rather than generalising out.
- Your assistant should admit ignorance. Calibrated abstention answers that it does not know rather than guessing, which targets the confident error rather than the awkward silence.
- Your digital banking platform is the channel. Three named providers carry the technology pre integrated into the platforms community institutions already run, with an orchestration framework proven at a global bank since 2020.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Boost.ai and Kasisto 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
| Boost.ai | Kasisto | |
|---|---|---|
| Primary category | Customer & Banking Agents | Customer & Banking Agents |
| Founded | 2016 | Not published |
| Headquarters | Stavanger, Norway | New York, New York, United States |
| Website | boost.ai | kasisto.com |
Side by Side
| Axis | B Boost.ai |
K Kasisto |
|---|---|---|
| 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
Boost.ai
Boost.ai has sold conversational agents and nothing underneath them since 2016, more than 600 live agents across 450 organisations in banking, insurance, telecommunications and the public sector, handling 150 million conversations a year with the deepest Nordic reference base in its category. The AI FinTech Index records its certification disclosure as the fullest it holds, two ISO standards group wide with implementation ratios published down to the control, including where implementation is incomplete, which is candour the index treats as evidence of a real programme. The index records the inversions that decide diligence: the company discusses language model risks openly and never states whose models the platform runs or where processing occurs, which for national banks and public bodies is the first question, and it names no supported integration anywhere, a disclosure finding rather than a capability one given the installed base.
Source: AI FinTech Index, 2026
Kasisto
Kasisto has stayed inside one industry for its whole life, a proprietary language model fine tuned exclusively on banking conversations, policies and filings, whose distinguishing behaviour is calibrated abstention, answering that it does not know rather than guessing, with named customers running from global banks to single branch credit unions, three pre integrated digital banking platforms, and a 2026 acquisition folding it into a banking software group's operating system. The AI FinTech Index records the owned model as removing the external frontier dependency and records what stays unmeasured and unstated: no abstention rate shows whether the distinctive safeguard fires usefully, no accuracy or containment figure exists, the origin of the banking conversation corpus is undisclosed although its named customers compete with each other, no attestation is published, and the acquisition by a European headquartered group adds a jurisdiction question the material does not address.
Source: AI FinTech Index, 2026
Common questions
Where do Boost.ai and Kasisto overlap?
Both sell conversational agents to banks, and the footprints differ: Boost.ai spans four regulated sectors with Nordic and European concentration, while Kasisto is banking only with named customers across North America, the United Kingdom and Australia from global banks to single branch credit unions. 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 do the safety architectures compare?
Boost.ai's Trust Layer wraps guardrails around generation and names the failure modes. Kasisto builds abstention into a banking only model that admits when it does not know. The AI FinTech Index records both as stronger than the lane norm and neither as measured.
Which vendor publishes stronger security evidence?
Boost.ai, whose group wide ISO 27001 and 27701 with published implementation ratios is the fullest certification disclosure in the index. Kasisto publishes no attestation despite deployments at several of the world's largest banks. 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.
What should a buyer put in writing to each?
Ask Boost.ai whose models process customer words and where. Ask Kasisto whether deployment conversations feed its training corpus, and what its acquisition means for data jurisdiction. 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.
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 are assistant native and both leave the measurement empty in the same place: no accuracy, containment quality, escalation precision or hallucination rate is published by either, and Kasisto's abstention rate, the number that would show whether its distinctive safeguard fires usefully, is equally absent. The supply chain positions differ instructively.
Kasisto's model is its own, which removes the external frontier dependency, and the origin of its banking conversation corpus is undisclosed, raising the cross customer boundary question directly since its named customers compete. Boost.ai discusses language model risks candidly and never states whose models the platform runs or where processing occurs, which for national banks and public bodies is the first diligence question.
Integration disclosure inverts the size relationship: Kasisto names its digital banking, core and engagement partners while Boost.ai names no supported integration anywhere, a disclosure finding rather than a capability one given its installed base. Neither names a supervisor or statute, and Kasisto's acquisition by a European banking software group adds a jurisdiction question its material does not address.