A single architectural view of the platform, the components, the data flows, the trust boundaries, and the integration surfaces.
- 1
Control Plane
Policies, roles, versions, lifecycle states, and approvals govern the production surface.
- 2
Multi-Agent Execution
Supervisor and worker agents execute workflow steps across systems and data sources.
- 3
Knowledge and Memory
Hybrid retrieval, knowledge graph, and tiered memory provide enterprise context.
- 4
Human Governance
Approval gates, confidence thresholds, and reviewer queues preserve operational authority.
- 5
Observability and Audit
Traces, validation records, cost, latency, and quality signals remain available for review.
- 1
Workflow execution request
A user triggers a workflow; the control plane authenticates and policy-checks; the execution plane instantiates agents; retrievals and tool calls run with audit; Haluvance enforces each action; observability persists the full trace.
- 2
Document ingestion event
A source update is fetched, cleaned, classified, redacted, embedded, indexed, access-tagged, baselined by Haluvance, and logged.
- 3
Prompt promotion
A draft prompt is reviewed against test cases and Haluvance enforcement checks, approved under policy, promoted, routed to production traffic, and logged with diff and approver identity.
- Identity
- Enterprise IdP integration via SAML or OIDC with MFA for admin and privileged access.
- Encryption
- AES-256 at rest, TLS 1.2+ in transit, per-tenant keys, rotation, and cloud or customer-managed KMS.
- Secrets
- Provider credentials and integration keys are stored in vaults with rotation policies.
- Network
- Private subnet deployment, perimeter protection, mTLS between services, and segmentation across control, execution, and data planes.
- Isolation
- Tenant-level isolation across data, queries, logs, execution, and resource quotas.
- Application security
- Input sanitisation, prompt-injection guardrails, rate limits, idempotent write APIs, scanning, and penetration testing.
- SaaS
- Hosted by Nexoraa with per-tenant isolation and regional residency.
- Private cloud
- Deployed in the customer's AWS, Azure, or GCP account.
- Hybrid
- Control plane and execution or knowledge layers can be separated across environments.
- On-premise
- Full deployment within the customer's data centre.
- Air-gapped
- Disconnected deployment with local model serving and approved update bundles.
- Reliability
- High availability, autoscaling, disaster recovery, backups, blue-green/canary releases, and automated rollback.
- High availability
- Active-active or active-passive clustering for stateless services with no single point of failure for app, database, vector store, or queue.
- Auto-scaling
- Horizontal scaling on CPU, memory, queue depth, and token throughput. Inference, API, and worker tiers scale independently.
- Disaster recovery
- Cross-AZ replication with cross-region option, defined RPO/RTO per tier, and documented DR runbooks.
- Backup and restore
- Automated daily backups with point-in-time recovery and tested restore drills.
- Deployment
- Blue-green and canary strategies, zero-downtime deployments, and automated rollback on failed health checks.