Uptime SLA
High-availability service boundaries.
The Operating system for modern money
Money infrastructure that does not break under pressure
Deterministic APIs, replay-safe events, and tenant-scoped controls from first integration to production scale.
- Deterministic writes
- Replay-safe webhooks
- Tenant-scoped controls
- End-to-end audit trails
Designed for teams building
NeobanksBaaS PlatformsPayment ProcessorsDigital WalletsLending PlatformsEmbedded Finance
The Problem
Money infrastructure fails exactly when growth and compliance arrive together.
Integrations drift, retries duplicate writes, and evidence fragments across providers.
01
Integration gets fragile
Provider APIs diverge under failures, retries, and asynchronous callback timing.
02
Operations get noisy
State machines drift across services and force manual reconciliation loops.
03
Compliance gets expensive
Evidence collection breaks when money and identity actions are not attributable end to end.
Operational Tension
The Reveal
Meet Zentra, the operating system for modern money.
One contract model, one operational language, one control plane across payments, cards, and accounts.
Experience
- Web App
- iOS App
- Partner Portal
Orchestration
- Mobile API
- Service Mesh
- Policy Engine
Core Ledger
- Ledger Engine
- Transfers
- Cards
Deterministic money movement and tenant isolation enforced across every layer.
Core Latency
Fast decision and authorization path.
Webhook Runtime
Deterministic under retries and duplicates.
Isolation
Per-tenant auth and config boundaries.
Operating System Scene
One runtime language across experience, orchestration, and ledger.
This is where Zentra feels less like product pages and more like a system. Switch layers to see how each reliability promise translates into operator behavior.
Layer 01
Experience layer stays fast and predictable.
Web, mobile, and partner surfaces stay consistent because the contract model does not drift per channel.
- Shared auth posture across every customer touchpoint.
- Consistent response semantics for support and product teams.
- No channel-specific reconciliation workflows.
Web App
iOS App
Partner Portal
Operators see one behavior model across all user surfaces.
The Proof
Proof that reads like operations, not marketing.
Scroll each stage. The narrative remains cinematic, but every claim maps to deterministic implementation behavior.
Proof 01
Integrate with stable contracts
Versioned endpoints and typed responses keep product teams moving without migration debt.
- Backward-compatible evolution for long-lived integrations.
- Stable error codes for operator and support runbooks.
- Sandbox workflows that mirror production semantics.
Proof 02
Recover with replay-safe events
Callback reliability is enforced through signature verification and idempotent write discipline.
- Verify webhook signatures before processing payloads.
- Apply idempotency on all money-affecting writes.
- Preserve delivery and retry traces for incident workflows.
Proof 03
Operate through one control plane
Scale into new domains without rewriting core reliability behavior.
- Per-tenant policies and limits enforced at runtime boundaries.
- Attributable event trails for audit and compliance review.
- Clear state transitions for support and reconciliation teams.
Scroll Narrative
1/3
Contract Reliability Loop
Versioned endpoints and typed responses keep product teams moving without migration debt.
The Trust Layer
Built for audits, incidents, and real money movement.
Public docs, deterministic traces, and explicit runtime behavior make verification straightforward.
Security by default
Signature verification, scoped authorization, and sensitive-field masking across operator surfaces.
Compliance-ready evidence
Traceable money and identity events with actor, tenant, and timestamp attribution.
Regional and operational coverage
Corridor-aware platform design with explicit operational boundaries.
Implementation Depth
Production flows are designed around deterministic outcomes under retries, callback delays, and timeout recovery.
Operator Confidence
Audit trails preserve actor, tenant, and timestamp context so incident analysis and compliance reviews stay attributable.
Trust Evidence
- Version routes and payload schemas with explicit deprecation windows.
- Keep typed error contracts stable across retries and transient failures.
- Mirror production semantics in sandbox before cutover.
What teams are saying
“We replaced three integration layers with Zentra's contract model. Our reconciliation loops dropped to zero within the first quarter.”
“The replay-safe webhooks solved a class of bugs we'd been patching around for two years. Our ops team finally trusts the event pipeline.”
Ready To Launch
Build on a platform designed for correctness, not demo velocity.
Start in sandbox workflows, then promote to production with stable contracts and explicit operational semantics.
Launch Narrative