You steer an AI org. You don't assemble one.
No agent store. No "add to team" button. 6 specialized AI departments come pre-wired on day one and activate from real activity — connect GitHub, Engineering wakes up. They all share one company Brain and cascade signals between each other.
HiveBase Squads are departments reading and writing one shared context — so a competitor's move reaches Strategy, Accounts, and Narrative without anyone routing it. They share your company's judgment, not just its data.
Strategy
Competitive intel feed, living thesis synthesis, thesis pillars, playbooks. Sparring partner that challenges your narrative with data.
Deep dive → Strategy- Thesis pillar health tracking
- Competitive intel routing
- Strategic playbook generation
- Sparring and stress-test mode
- Intel feed with topic filters
Product
Self-organizing capability map. Feature signals from calls, Slack, and support tickets routed to the right capability. Every item has a 'Why' provenance.
Deep dive → Product- Capability map self-organization
- Feature signal intake from any source
- Why provenance on every decision
- Cross-signal pattern detection
- Customer demand weighting
Project Manager
Deduplication, archiving, reprioritization from real signal. Reads the Slack thread where you killed the feature. Cleans up 47 issues with one approval.
Deep dive → Project Manager- Cross-source deduplication
- Stale task archiving with receipts
- Prioritization from customer signal
- Deprecation cascade automation
- Linear bidirectional sync
Narrative
Outline → draft → critique → publish. Voice profile built from your own content. Signal-driven ideas from competitor moves and customer calls.
Deep dive → Narrative- Voice profile extraction
- Outline → draft pipeline
- Critique against 5 content dimensions
- Signal-driven content ideas
- Publishing CTA at quality threshold
Accounts
Health scoring and impact alerts. Knows when a competitor's new feature threatens your renewal. Links account signals to strategy and product.
Deep dive → Accounts- Health scoring and risk flagging
- Competitor threat → account impact cascade
- Renewal risk alerts
- Follow-up draft generation
- Cross-module impact routing
Engineering
Security shield, tech radar, release impact tracking. Knows your stack before it asks. Connects your GitHub activity to the rest of your company's context.
Deep dive → Engineering- Security advisory monitoring
- Tech radar and dependency health
- Release impact tracking
- Codebase context for Brain
- Engineering decisions → product cascade
7 squads seeded · 6 shown · Strategy/Product/PM/Narrative in Production · Accounts/Engineering in Beta
One change. Every department reacts. Nobody routes it.
Every department reads and writes one shared context — so a single signal moves all of them at once. You can't fake that in Notion or wire it up in Zapier.
One operator. Ten departments' worth of work.
An AI org you couldn't afford to staff — activated from real activity, running on one shared truth, cascading signals without anyone routing it.
See the full platform →Your AI org is already assembled.
Plug in your tools and your departments activate. No configuration, no templates.