Built for institutions that must explain every decision.
Unde is designed for regulated environments: your data stays under your control, access follows least privilege, AI outputs are grounded in evidence, and every action is recorded.
Six commitments that shape the platform.
Data stays under your control
Deployment, residency and retention follow your governance requirements. Your data is not used to train models for other customers.
Least privilege access
Role based permissions by team, function and data domain, enforced consistently in the UI, APIs and Copilot.
Complete auditability
Data access, AI outputs, approvals and automated actions are written to an append only audit log.
Explainable outputs
Recommendations carry their evidence, contributing signals, and the model and policy versions used.
Human oversight
Consequential actions pass through approval gates. Approvers, roles and rationale are recorded.
Model governance
Models and prompts are versioned, evaluated before release and monitored in production.
Cloud, private cloud or on premise.
The same platform, controls and audit capabilities in every deployment model.
Cloud
Multi tenant SaaS operated by Unde, with logical tenant isolation and managed upgrades.
- Fastest time to value
- Managed operations and monitoring
- Tenant level encryption and access controls
Private Cloud
A dedicated single tenant deployment in your cloud account or a dedicated environment, in the region you choose.
- Dedicated compute and storage
- Private network connectivity
- Your keys, your region, your policies
On Premise
Deployed inside your data centers for institutions where data and models must remain within the perimeter.
- Data never leaves your infrastructure
- Self hosted model options
- Integrates with internal identity and logging
| Attribute | Cloud | Private cloud | On premise |
|---|---|---|---|
| Infrastructure | Operated by Unde | Your cloud account or dedicated environment | Your data centers |
| Tenancy | Multi tenant, logically isolated | Single tenant | Single tenant |
| Data location | Region agreed per contract | Region of your choice | Inside your perimeter |
| Model hosting | Managed | Managed or self hosted | Self hosted |
| Upgrades | Continuous, managed | Scheduled with your team | Scheduled with your team |
Controls designed into the platform.
Security, privacy and AI controls are part of the platform architecture, not added afterwards.
Data protection
- Encryption in transit and at rest
- Masking of personal data in interfaces and model inputs
- Configurable retention and deletion policies
- Data residency determined by deployment model
Identity and access
- Single sign on via SAML or OpenID Connect
- Role based access with data domain scoping
- Segregation of duties for approvals
- Scoped, rotatable API credentials
Operations
- Tenant and environment isolation
- Append only, tamper evident audit log
- Secure development lifecycle and dependency scanning
- Monitoring, alerting and incident response procedures
AI controls
- Outputs grounded in retrieved source records
- Personal data minimized before model calls
- Prompts, outputs and model versions logged
- Choice of model hosting, including self hosted
How Unde uses AI.
Language models, machine learning and rules are used to analyze, summarize and recommend. Authority over decisions remains with your people and your policies.
AI recommends, people decide
No consequential action is taken without the approval your policy requires.
Answers cite their sources
Every finding links to the records it relies on. Unsupported claims are not presented as facts.
Everything is versioned
Model, prompt, rule and policy versions are stored with each output.
You choose where models run
Managed, private or self hosted model options, depending on your deployment.
- 09:14:02SystemAlert generated
Velocity rule VR07 and behavioral model score 0.84.
evidence · 2 triggers - 09:14:06AIEvidence assembled
14 records from core banking, payments, device sessions and KYC.
evidence · E1 to E14 - 09:14:11AIRecommendation issued
Escalate to L2 review and request source of funds. Model and prompt versions recorded.
evidence · 4 factors - 09:31:47HumanAnalyst decision
Escalation approved by analyst 204 (L1, AML) with written rationale.
- 09:31:52WorkflowWorkflow executed
Case CS11920 created and routed to the L2 queue under policy TM04.
Our approach to assurance
Transparent about where we are.
Unde is an early stage company. We do not display certifications or attestations we have not completed. Institutions evaluating Unde receive our security architecture documentation, control descriptions and assurance roadmap directly.
Request security documentationTurn financial operations into an intelligent system.
See how Unde connects to your existing systems, investigates alerts and incidents with full context, and keeps every decision auditable.