A2AC replaces fragile natural-language handoffs with the Cube Protocol: deterministic task, result, and error cubes that can be compressed, verified, routed, and audited directly inside your Google Cloud project.
A2AC is the enterprise orchestration platform. Cube Protocol wraps APIs, queues, and model calls in integrity-checked, GZIP-compressed data matrices. Every handoff becomes a structured cube that can be routed, audited, and rejected if corrupted.
Register your systems - Salesforce, Azure, Google Cloud, local tools, AI models. A2AC maps everything into a unified registry. Every system gets a verified identity.
REGISTRY // CONNECTEDRun workflows across connected systems. A2AC routes intent to the right tool, model, or agent. Every execution produces a cryptographic receipt - proof of what happened.
RECEIPTS // IMMUTABLEAs agents share structure, repeated context can be routed as verified cubes instead of resent as chat. The system reuses receipts, memory, and typed payloads before making new model calls.
CUBES // VERIFIEDA2AC is not a framework. It is infrastructure - the layer underneath that makes all AI systems work together, remember, and prove what happened.
Validate Q-Protocol agent definitions for structure and correctness. Every cube is compressed (GZIP), content-hashed (SHA-256), and checked before downstream systems trust it.
Vertex AI powered semantic memory. Agents store and recall context across sessions using vector embeddings. Memory is re-entry, not storage - it reorients the present, not recreates the past.
Append-only record of agent transactions with content hashes, source identity, timestamps, and execution metadata. Every action, workflow, and handoff can be reviewed.
Built on Google's Agent-to-Agent (A2A) protocol. Discoverable via /.well-known/agent.json. Register agents with typed capabilities, constraints, and verified identities. Interoperable with any A2A-compatible agent across any platform.
Control plane at A2AC. Data plane in your GCP project. Your data stays in your project with clean tenant separation, auditable handoffs, and deployment patterns built for enterprise review.
StartQ boots the session - loads rules, calibrates agents, checks brain health. EndQ closes it - persists state, saves transcripts, backs up cubes. The next agent picks up exactly where the last left off.
Validate your existing A2A agent card or build a new one. Get a compatibility score, Cube Protocol signature metadata, and downloadable JSON.
A2AC runs the control plane. You run the data plane. Clean tenant separation with Google Cloud Marketplace procurement and consolidated billing.
A2AC separates implemented controls from roadmap controls and returns structured receipts instead of relying on conversational logs.
Every action can produce an integrity-checked receipt with content hash, timestamp, source identity, and execution constraints. Tamper evidence is built into the handoff boundary.
✓ DEPLOYEDAll endpoints secured with GCP-managed TLS 1.3 certificates. Cloud Run HTTPS ingress with automatic certificate rotation. No plaintext communication.
✓ DEPLOYEDAll credentials stored in Google Cloud Secret Manager. Zero hardcoded keys in source code. Runtime injection via service account bindings only.
✓ DEPLOYEDEach Cloud Run service operates under a dedicated service account with minimal role bindings. No default service account usage. Workload Identity Federation for cross-tenant auth.
✓ DEPLOYEDFirestore, Cloud Storage, and BigQuery data encrypted at rest using Google-managed encryption keys. Customer-managed encryption keys (CMEK) available for enterprise tier.
✓ DEPLOYEDAgent actions, workflow executions, and state transitions can be written to an append-only audit trail in the customer's own BigQuery dataset.
✓ DEPLOYEDCloud Armor WAF policies, VPC Service Controls perimeter, Binary Authorization for container images, and Data Access audit logging are in active development. SOC 2 Type II audit engagement planned for Q3 2026.
A2AC coordinates agents regardless of the underlying model. Default Google Cloud infrastructure uses Vertex AI with Gemini 3 Flash Preview, with generally available Gemini 2.5 fallbacks for customers that require GA-only deployments.
Default agent reasoning and workflow coordination via Vertex AI Preview.
VERTEX AI // PREVIEWComplex multi-step analysis and synthesis tasks where approved for the deployment.
VERTEX AI // PREVIEWSemantic search and agent memory embeddings using customer-approved Vertex AI embedding models.
VERTEX AICustomer-approved tuned or private model endpoints for domain-specific classification.
VERTEX AIWe build infrastructure for AI coordination. Not frameworks. Not wrappers. The connective tissue that makes all AI systems work together, remember, and prove what happened.
A2AC is available on Google Cloud Marketplace. Contact us for a pilot program or enterprise deployment.