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From idea to production, ZeaIQ brings together agents, knowledge and governance to turn intent into outcomes.
Integrations
ZeaIQ plugs into the LLMs, knowledge stores, identity providers, and enterprise data sources you already run — through one secure, multi-tenant control plane.
ZeaIQ Platform
Six purpose-built modules that share one runtime, one identity layer, and one audit trail — so your team can ship enterprise AI without stitching together a stack.
Author MAF-backed agents with instructions, tools, multimodal input, and a persistent memory layer — production-ready from day one.
Compose specialist agents into coordinated teams using five battle-tested patterns: Sequential, Concurrent, Handoff, Group Chat, and Magentic.
Chain agents and humans on a visual DAG with HITL approvals, triggers, retries, dead-letter queues, and live WebSocket streaming.
Plug into Qdrant, Azure AI Search, Neo4j, or Mem0 — plus Postgres conversation history — through one unified context API.
Templated OCR pipelines with validators, confidence scoring, and a built-in human-in-the-loop review queue for regulated workflows.
Multi-tenant isolation, SSO, SAML, LDAP, MFA, BYOK encryption, and an immutable audit trail — switched on by default.
Workflows
Chain agents, agent teams, approvals, and integrations into reliable, observable workflows. Trigger them on a cron, a webhook, or a click.
Drag nodes onto a canvas, or describe the workflow in natural language and let ZeaIQ assemble the DAG.
Pause a run for human approval with assignable tasks, SLAs, and abandonment handling.
Cron, webhook, and manual triggers, plus retries, DLQ, and resumable checkpoints out of the box.
Watch each node execute in real time with status, logs, and outputs streamed over WebSocket.
Knowledge & Memory
Plug your knowledge into the provider that fits your data — vector, hybrid, graph, or long-term memory — without rewriting your agents.
Bundled vector store. Zero-config dense retrieval out of the box.
Enterprise hybrid search with semantic ranking and per-tenant indexes.
Graph-aware retrieval over entities and relationships you already model.
Persistent user / session memory that survives conversations and agents.
Document Extraction
Invoices, contracts, statements, forms, IDs — a fully templated extraction pipeline with validators, confidence scoring, and a built-in human review queue, wired into the same agents and workflows.
Pick Azure Document Intelligence or OpenAI Vision per document type. Add your own provider with a clean adapter.
Define expected fields, types, and validation rules per template. Reject low-confidence extractions automatically.
Documents below your confidence threshold land in a reviewer queue with side-by-side preview and inline edits.
Every extraction, override, and approval is captured in the run timeline for compliance and traceability.
Who's it for?
Pick the size that fits today, scale as you grow. Every plan ships with the same agent runtime, knowledge layer, and observability — we just unlock more controls as your team gets bigger.
1 user
For individuals exploring agents on their own.
Up to 25 users
For small teams shipping their first agent product.
25 - 250 users
For organizations rolling agents out across departments.
250+ users
For enterprises with strict identity, isolation, and audit needs.
All plans include the agent runtime, knowledge layer, and observability — only team size, governance depth, and SLA differ.
By role
ZeaIQ meets builders, IT, and business teams where they are — with the controls each one needs.
{
"model": "agent:procurement",
"messages": [{
"role": "user",
"content": "Find vendors..."
}]
}Audience: Builders
Build, ship, and embed agents — your way.
An OpenAI-compatible /v1 surface, A2A hosting at /a2a, embeddable chat widgets, REST API, and webhooks. Drop ZeaIQ agents into any product or pipeline you already have.
Audience: IT & Platform
Multi-tenant, governed, observable from day one.
Per-org isolation with SSO/SAML/LDAP/MFA, BYOK provider credentials, audit trails, IP allowlists, and OpenTelemetry instrumentation through the Agent Framework.
Audience: Business & Compliance
Govern AI without slowing it down.
HITL approval gates, document extraction with reviewer queues, governance reports, lineage, quality rules, and SharePoint scans. Adopt agents with confidence.
Enterprise Security
The access controls, isolation, and audit trails your security team will recognize — switched on by default.
Layer: Identity
OIDC, SAML, LDAP sync, MFA, and per-tenant API keys.
Layer: Tenancy
Per-tenant data, knowledge, secrets, and LLM keys — never shared.
Layer: Cryptography
Fernet at rest, TLS 1.3 in transit, bring-your-own provider keys.
Layer: Audit
Every login, run, override, and admin action lands in an immutable log.
Workflow
From idea to production agent in four steps: connect, configure, orchestrate, govern.
Author: ZeaIQ Engineering
Why the runtime layer — not the model — is the real differentiator for enterprise multi-agent systems.
Read moreAuthor: Product
Patterns for assigning, routing, and timing approval steps without slowing the workflow to a crawl.
Read moreAuthor: Platform
A side-by-side guide to picking Qdrant, Azure AI Search, Neo4j, or Mem0 for your retrieval layer.
Read more