CEEZ AI
Ceez is architected from the ground up for enterprise platform, security, and infrastructure architects—combining zero-copy semantic federation, MCP tool contracts, 38-provider model routing, transactional BPMN execution, and sovereign deployment flexibility.
Strict separation between data acquisition, semantic graph state, model routing, policy evaluation, and system mutation.
Each plane exposes versioned contracts and scales independently across cloud, hybrid, or on-premises Kubernetes clusters.
High-throughput ingestion across 58+ enterprise connectors and 14 streaming protocols (SNMP, gNMI, MDT, NetFlow/IPFIX, OTLP, Syslog, Kafka, CDC) at 100K+ events/sec with inline PII redaction and zero-restart rule hot-reloading.
5-layer semantic operating model (Sources → Entities → Ontology → Context Graph → Action Contracts) with bi-temporal lineage and auto-generated MCP servers exposing typed ground:// tools.
Unified gateway across 38 commercial and self-hosted model providers with 4-tier routing (Economy, Standard, Premium, Reasoning), semantic caching, hard spend circuit breakers, and $0 script compilation.
Hybrid storage and compute engine combining ClickHouse (columnar time-series & telemetry), PostgreSQL (transactional state & relational metadata), and Redis (sub-millisecond state & locks).
Role-specialized multi-agent teams paired with a BPMN 2.0 workflow engine, SSH/NETCONF lock pinning, 5-state live dry-run diffing, and newest-first transactional rollback.
Out-of-band policy firewall (3-tier autonomy + plan-hash approvals), SHA-256 hash-chained receipt ledger, and multi-FDE collaborative studio with shadow-mode production replay.
Designed to pass rigorous enterprise architecture, data governance, and site-reliability reviews.
Read operational records in place via zero-copy federated queries or ingest high-velocity telemetry into tenant-isolated ClickHouse/Postgres stores. Customer data is encrypted with AES-256 at rest and TLS 1.3 in transit, and is never used to train external foundation models.
Federate with Okta, Microsoft Entra ID, Ping, or Keycloak. Enforce fine-grained role and site scopes (including Rackline's 7 RBAC roles) and propagate caller identity through every MCP tool call so agents cannot bypass user-level permissions.
Route across OpenAI, Anthropic, Google Vertex, AWS Bedrock, Azure OpenAI, Mistral, Cohere, or local vLLM/Ollama/NIM endpoints. Automatic sub-second failover on HTTP 429/5xx, strict token/dollar caps, and zero-data-retention (ZDR) endpoint enforcement.
Deploy in Ceez Managed Cloud (isolated tenant), Dedicated Single-Tenant VPC (AWS, Azure, GCP via Terraform/Helm), Customer-Managed On-Premises Kubernetes (OpenShift, EKS-A, Rancher), or fully Air-Gapped Sovereign Enclaves.
Every ingestion batch, Ground query, Compass LLM call, Crew agent step, Flow transition, and Govern evaluation emits structured OpenTelemetry traces, metrics, and logs—exportable to Datadog, Splunk, Grafana, or Prometheus.
Stateless horizontally autoscaled worker pods, multi-AZ replicated storage, exclusive device/resource lock pinning, plan-hash drift detection, and deterministic newest-first rollback on partial workflow failure.
Walk through your VPC topology, identity provider, data residency boundaries, model endpoints, and target system integrations.