Super AI/Software/ Hivemind
Live 07 / 13 Orchestration for thousands of specialized agents Operated by humans + agents

Run your operating manual
in parallel.

Hivemind is the control plane for AI agent swarms — compose, observe, govern, and scale thousands of specialized agents executing your real business processes. Not chat assistants. Production workers, with traces and audit trails.

SAI-HIVEMIND-001
2,400+Concurrent agents per tenant
11MAgent runs / day in production
99.94%Tool-call success rate
FullOpenTelemetry trace coverage
02 / What it does

Production agents, not chatbot prototypes.

Hivemind treats agents as workloads. Typed, traced, retried, idempotent — the boring infrastructure that makes the magic actually run in production.

01

Composable agent graphs

Build swarms from typed agent primitives. Agents pass typed messages, not strings. Catch errors at compose-time, not 3am.

02

Native observability

Every prompt, every tool call, every retry traced. OpenTelemetry-native. Your existing observability stack just works.

03

Policy-bound execution

Agents inherit policy from Atlas. They can only see what they're authorized to see. They can only do what they're authorized to do.

04

Cost-aware scheduling

Hivemind routes to the right model for the job — small/fast for routine, large/careful for ambiguous. Automatic cost ceilings per workflow.

05

Human-in-the-loop

Approval gates, escalation patterns, async review. Built-in, not bolted on.

06

Production-grade

Idempotency, retries, dead-letter queues, replays. Hivemind treats agents as workloads, not toys.

03 / Workflow simulator

Watch a swarm spawn and execute.

A finance executive asks for a quarterly close summary across five entities. Watch Hivemind compose a swarm of specialized agents, route them in parallel across the data fabric, govern every action, and assemble the answer.

Speed 1.0×
TRIGGER Human prompt: "Run the Q3 close summary across all entities"
01
Planner Agent
Decomposing into 14 sub-tasks across 5 entities
Task graph built · estimated cost $0.42 · 47 agents needed
02
Policy Agent
Checking data access against Chronos rules
All entities authorized · 2 redactions applied for compliance
03
Spawn Agent
Launching 47 specialized agents in parallel
Atlas:14 · Continuum:18 · Halo:6 · Forge:5 · Aegis:4
04
Coordinator
Routing typed messages between agents
1,847 messages exchanged · 3.2s wall clock · zero conflicts
05
Quality Agent
Cross-checking results · running variance analysis
All entity totals reconcile · 1 anomaly flagged (Entity-3, refund spike)
06
Reporter Agent
Composing executive summary + variance commentary
12-page brief ready · routed to CFO for approval
Outcome Multi-entity quarterly close. 47 agents · 3.2 seconds wall clock. Every action audit-logged, every decision traceable, no human in the loop until final review.
04 / Get a demo

See Hivemind on your data, not a sandbox.

A founding-team engineer will get back to you within one business day with a tailored walkthrough — and an honest read on whether Hivemind fits your stack.

06 / Pairs well with

Hivemind gets unfair when you run it with these.

Ready to replace something?

Tell us what you're running today. We'll tell you, honestly, whether Hivemind is the right tool — and what we'd swap in if not.