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Zentis AI
Industries
Banking & creditSOUL co-pilot, retail credit, onboarding.InsuranceFNOL, claims triage, underwriting.Finance, risk & voiceForecasting, reserving, voice agents.Insurance BrokerageEvery quote and every renewal, ready before the client starts wondering.
Products
Zentis AnalyticsForecasting, reserving, and regulatory reportingAuditOSBank, e-commerce, Shariah, and claims audit.FAMIend-to-end motor insurance automationZentis BinderDefence file assembly, live as the case runs.
Resources
NewsProduct news and conference write-ups.ArticlesLonger pieces on AI in regulated industry.Events & webinarsWhere to find us in person.UsecasesA library of reusable, editable templates.
Company
AboutWho we are and why the harness is the product.PartnersTechnology, consulting, and reseller partners.ContactTalk to the team, or book a working session.CareersJoin us
Platform
ZaraZara is where a workflow starts, Zara builds the team.Zen StudioZen Studiois where engineering opens it upZen PilotZen Pilot is where it actually runs
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Zentis AI

An enterprise-grade agentic platform for banking, insurance, and audit. Incubated by Techvantage.ai.

Platform

ZaraSPARZen StudioZen Pilot

Solutions

Audit & complianceInsuranceBanking & creditFinance, risk & voice

Trust

The defence fileSecurityAssuranceRegulatory packs

Resources

NewsArticlesEvents & webinarsClassic

Company

AboutPartnersContactCareers
© 2026 Zentis AI. All rights reserved.info@zentis.aiLondon, England
Anthropic Partner NetworkNVIDIA InceptionTechvantage.ai, Deloitte Technology Fast 50
Trust & security

Every decision comes with its own defence file.

No observability, no control—only hope.

168named agents
100%decisions traceable
SPARgovernance cycle
0silent output

The artefact

Produced as the work happens, not reconstructed later.

Source, rule applied, confidence, the adversarial record, and the named approver. One file per decision, assembled by the runtime while the workflow runs.

What ships with every decision
  • Source — what the agent read
  • Rule applied, and the resolution
  • Confidence, per claim
  • The adversarial record
  • The named approver

It only learns from confirmed outcomes. Nothing is trained on its own unreviewed output, so error can't compound quietly.

Trace

OpenTelemetry, everywhere

A span per node, per tool call, per model invocation. Standard OTel, so it lands in Jaeger, Datadog, Grafana, or whatever you already run.

Measure

Cost, latency, quality

Token spend and wall-clock time down to the individual agent and case. Every change is measured before it ships, not discovered by a customer.

Prove

Built in, not reconstructed

Source, rule applied, confidence, adversarial record, and the approver, produced as the workflow runs, not assembled later from logs.

Security and compliance

The questions a bank asks in week two.

These come up in week two of every evaluation, so here they are in week one.

Prompt injection

Input guards on every entry point, and a dedicated guard model that screens embedded instructions.

RAG poisoning

Unverifiable citations are auto-annotated before any agent acts on them.

Data protection

Masking, access control, PII detection, and role-scoped visibility.

Deployment isolation

On-premise and air-gapped options where no document ever leaves the perimeter.

Regulatory packs

Per-region compliance layers for India, the GCC, the UK, the EU, Indonesia, and the US.

Assurance

VAPT and DLP review at onboarding, plus a runtime kill switch as backstop.

Regulatory overlays

Same capability, swapped rulebook.

Per-region compliance layers ship versioned alongside the workflow. Here is the coverage.
01

India

RBI · IRDAI

Concurrent audit, KYC and AML, IRDAI claims handling

02

GCC

CBUAE

Onboarding, sanctions screening, Shariah audit

03

United Kingdom

FCA · Lloyd's

Delegated authority oversight, consumer duty evidence

04

Indonesia

OJK

Reporting packs and reserving

05

European Union

GDPR · EU AI Act

Data protection and risk classification

06

United States

Per-state and federal

Deployed with the customer's own compliance layer

Tested at the edge, not trusted at the end.

Plus VAPT and DLP review at onboarding, and a runtime kill switch as the backstop. The same controls the risk committee signs off.

  • VAPT review at onboarding
  • DLP review at onboarding
  • Runtime kill switch

Send us your security questionnaire.

We'd rather answer it before the pilot than during it. Architecture, data flows, model hosting, and the kill switch, in writing.

Talk to us