Platform

One engine under every decision that moves money.

Nyx, our decision platform, takes your data in and returns an explained verdict. Every model and rule is governed in one place, on open standards, so nothing locks you in.

One platform, end to end
One engine, many decisionsA new decision is configuration, not a new system.
Fast verdicts, deep investigationsAI investigation never slows the decision.
Three deployments, one codebaseManaged by us, in your cloud, or in your data center.
The engine underneath

Six building blocks. Every decision reuses them.

A pack declares the entities, features, models, policies, outcomes and actions a domain needs, so a second domain is configuration rather than a second procurement. See what each pack decides →

NyxWorkbench · Lineage
Pack · Fraud management PILOT READY
Sources10file · api · kafka · db
Transaction feedkafka
Settlement batchfile
Case outcomesfile
Merchant master
Device signals
Canonicalize12contracts · PII · DLQ
Transactionsrunning
Settlementsrunning
Case outcomesrunning
Merchants
Devices
Entities6one schema
Customer
Account
Card
Transaction18 fields
Merchant
Device
Features12online + offline
txn_amountanchor
txn_count_1h1h window
card_velocity_24h24h window
merchant_cb_30d
device_age_days
Models8registry · versioned
FraudScorer v4canary · 10%
FraudScorer v3primary · 90%
Chargeback v2
Rules8authored · simulated
velocity-1h-checkv1 · fired
high-amount-checkv1 · passed
new-device-check
Lists5versioned
blocked-merchantsno match
allowed-binsno match
Asked by your authorization system
Decision pipelines3models + rules + lists
fraud-detectionweighted
login-risk
Reviewvelocity-1h-check fireddec_EXAMPLE…
Decision logaudit_ref
Evidence record IN BUILD
actor · principal · mandate · decision · outcome
AI INTELLIGENCE: case summaries · daily briefs · policy authoring · investigation, governed in one place
REPRESENTATIVE WORKBENCH VIEW · SAMPLE DATA · ONE DECISION TRACED FROM SOURCE TO RECORD
IngestionMulti-source and async, with schema auto-detect, canonicalization, PII masking and a dead-letter queue.
Feature storePoint-in-time-correct offline features for training, online serving for the real-time path.
Model registryVersioned pipelines and models, hot-reloaded into serving, trained on your transactions.
Policy enginePlain-language authoring, versioning, precision tracking and what-if simulation on your history.
Case managementQueues, severity, SLAs and patterns that every pack maps onto its own workflow.
OrchestrationOne durable event per decision; downstream actions subscribe by declared contract.

Agent rails enter the same way: UCP, ACP, AP2, Visa TAP, Mastercard Agent Pay and RFC 9421 signatures, and NPCI’s Unified Agent Protocol once it clears RBI approval, each behind an adapter that never touches the decision core. The first adapter is built with the first design partner.

The decision, end to end

One decision, whoever starts the payment.

Three ways a payment starts, three kinds of institution that ask, one call to Nyx, and what comes back.

Who starts it
A personYour customer, paying
An AI agentActing for a person
A merchantCharging on a mandate the person set
Who asks Nyx
Paying side
Issuers and issuer processors
Getting paid
PSPs and acquirersMerchants, mainly through their PSP
Lending PARTNER-LED
Lenders and underwriters
Nyx decides, in one call
NyxOne POST · one verdict
Agent or mandate only
  1. 1
    VerifyIN BUILD

    The signature the rail presents, and the mandate’s scope, caps and expiry.

  2. 2
    Know whoIN BUILD

    Binds the agent or mandate to the person behind it.

  3. 3
    DecidePILOT READY

    Your lists and rules, live behavior and risk models.

  4. 4
    AnswerPILOT READY

    Inside a deadline you set; a miss returns your fallback.

What comes back
In the call PILOT READY
approvereviewdecline
Your configured actions, step up or hold for example, with reasons and an audit reference.
Afterwards
Evidence record for disputes IN BUILD
A case for your analysts PILOT READY
Chargebacks feed the models PARTNER-LED

A person paying goes straight to step 3. Pilot ready: built, and can go into a pilot on your data. In build: being written now with design partners. Partner-led: engine primitives in place, scoped with the first partner who needs it. Nyx is pre-launch; nothing here is a production result.

Two paths, one platform

Heavy AI work never blocks the decision.

One POST call in your transaction flow. A deep-triage agent investigates beside it, never in the authorization path.

01PILOT READY
Real-time decision path

One call, a verdict with its reasons.

The response carries the action, score, severity band, the rules that fired and the audit reference. The evidence record the reference points to is in build.

02IN BUILD
Async investigation path

Assembled before an analyst opens the case.

Related cases, device history and ring checks, recommendation-only today and shadow-tested before it ever enforces.

Timeout and fallback

A hard timeout budget and a fallback verdict when it is breached. Fail-open or fail-closed is your policy, set in configuration, not ours.

Latency, stated properly

<100ms† is a design target for the authorization path, validated on your traffic including tail latency. Not an average over a demo.

Operating posture

Deployment footprint, HA and recovery posture and the managed-update model are in the due-diligence pack, on request, before any pilot.

† Design target to validate in the first pilot, not yet independently benchmarked.

Tunable autonomy

Autonomy you set, one rung at a time.

How the agents are governed →
  1. ShadowRuns on live traffic and acts on nothing. You compare its calls to your team’s.Acts on nothing
  2. RecommendProposes the action with its evidence. A person decides.A person decides
  3. ContainReversible actions inside your guardrails: caps, rate limits, auto-pause. Each one opens a human review.Reversible, reviewed
  4. AutonomousActs within your caps, still bounded to reversible actions. Anything irreversible or adverse stays human.Within your caps

Every action is ledgered and any level rolls back in one click. The synchronous verdict stays in the engine; these agents never enter the authorization path. Designed for automated-decision rules (EU AI Act; GDPR Article 22). The agent path is in build, recommendation-only and shadow-tested today, and the higher rungs are the designed model, to be proven with design partners.

Deployment

Three ways to run it. One codebase.

The engine, the API, the packs and the evidence record are identical in all three. What changes is who operates the infrastructure and where the data sits.

Managed by usSingle-tenant per customer, in the cloud region you choose. Updates, monitoring and backups are ours.Single-tenant · region of your choice
Your cloudYour own AWS, Azure or GCP account, inside your VPC and key management. We ship the release and support it.Your account · your keys · your residency
Your data centerOn-premises inside your perimeter, where the regulator or your policy requires it. Kubernetes on your hardware; a decision needs no egress.In-perimeter · no bulk extraction

In every model, models train on your data only, data stays in-country, the decision log stays queryable by you, and the exit path is documented before a pilot starts. Footprint, HA and recovery posture per model are in the due-diligence pack.

Bank-grade by default

Governed AI is the platform, not a feature.

Every AI call, every identity and every decision leaves a trail an examiner can follow.

One LLM pipelineEvery AI call routes through one governed pipeline: PII and injection guardrails, spend budgets, circuit-breakers, full logging.
Identity and accessKeycloak / OIDC single sign-on and role-based access on every surface and API. Future agents run as named, audited identities.
Evidence recordA canonical, versioned record per decision: actor, principal, mandate, what was shown, consent, decision, outcome and dispute status.IN BUILD
Regulatory evidence packExplainability, model inventory, bias testing and monitoring evidence, generated by the engine. Shaped first against CBUAE’s AI guidance of 11 Feb 2026 and FREE-AI.IN BUILD
Open standardsPostgreSQL, Redis, Kafka, Spark, MLflow, pgvector, KServe, Keycloak, OpenTelemetry. Portable by construction.
ExplainableScore, features, rule hits and model version attached to every decision, readable by analysts, auditors and regulators.

The evidence record is schema-versioned from day one. SAMA CFF and CBUAE 3057 control mappings are already written; other regimes are mapped with the first partner there.

Direction, not product. Two things follow from the evidence record. A receipt rendered from the record, opened in the bank’s, PSP’s or merchant’s own surface, showing which agent acted, on whose mandate, what it bought and what it was shown. And evidence shared across institutions, which switches on only when there is a second institution in a country to share with and never sits on the synchronous path of a decision.
HOW WE BUILD IT

We hold the code that makes your decisions to the posture we ask you to hold us to for the decisions themselves. Nyx is built with NOX, our own development harness: one ticket in, one reviewed pull request out, with scope planned up front, review and security gates that cannot be skipped, and a recorded trail for every change. NOX is in private beta in the NaxVerse tools library.

Open the NaxVerse tools library ↗
Questions

What an evaluator asks first.

The architecture answers, without the walkthrough.

How does Nyx sit in the transaction flow?

As one synchronous POST in the authorization path, with a hard timeout budget and a fallback verdict you configure as fail-open or fail-closed. The response carries the action, the score, the severity band, the policies and rules that fired, the model version and an audit reference. Scoring under 100ms is a design target to validate on your own traffic in a pilot, not a benchmarked result.

Where can it run?

Three deployment models on the same codebase and the same API: Nyx-hosted and managed by NaxVerse in the region you choose, inside your own AWS, Azure or GCP account and VPC, or in your data center. Data stays in-country in every model.

What happens to our data?

Models train on your data only. No deployment model requires bulk extraction into a shared black box, the decision log stays queryable by you, and the exit path is documented before a pilot starts.

How do the agent payment protocols get in?

Behind adapters. UCP, ACP, AP2, Visa Trusted Agent Protocol, Mastercard Agent Pay, RFC 9421 signatures and NPCI's Unified Agent Protocol, once it clears RBI approval, normalize into the canonical schema and never touch the decision core. The first adapter is built with the first design partner and the rest follow its contract.

What is it built on?

Open standards end to end: PostgreSQL, Redis, Kafka, Spark, MLflow, KServe, Keycloak and OpenTelemetry, with RBAC and enterprise SSO over OIDC. Models, features and data stay portable.

Walkthrough

Kick the tires properly.

A live walkthrough of Command Center, Workbench, policy authoring and the decision API, on representative data, with the engineers who built it.

HELLO@NAXVERSE.AI · FOUNDER-LED, PROCUREMENT-READY · DUE-DILIGENCE PACK ON REQUEST