Super AI's software stack spans every core enterprise function — sales, finance, operations, workforce, compliance — operated equally by your people and by swarms of AI agents. One data fabric, one identity model, one policy engine, one bill.
Super AI's software stack spans every core enterprise function — sales, finance, operations, workforce, compliance — operated equally by your people and by swarms of AI agents. Thirteen products. One data fabric, one identity model, one policy engine, one bill.
From predictive CRM (Halo) and autonomous ERP (Continuum) to voice AI (Echo) and workforce intelligence (Sentinel) — thirteen products built to be run equally by humans and agent swarms, in any combination your org requires.
Hivemind coordinates thousands of specialized agents across every product — typed, traced, policy-bound, and cost-aware. Humans direct the swarm; the swarm runs the company. Every action is auditable and reversible.
All thirteen products share Atlas (data fabric), Chronos (identity & audit), and Aegis (AI security). Every new product you activate inherits the full governance stack on day one. One vendor. No integration debt.
Super AI ships software, operates data centers, and owns the energy and connectivity infrastructure underneath them. We're building toward owning every layer in between — our own foundation models in 2027, custom inference silicon in 2028.
Owning the stack is what makes the agent swarms cheap to run. Owned energy (LNG and SMR) and private optical connectivity eliminate the cost floors every cloud competitor pays someone else. Lower compute cost feeds cheaper models. Cheaper models feed denser swarms. The flywheel never leaves the building.
Each vertical works alone. They become unfair when you run them together — sharing one data fabric, one identity model, one policy engine, one bill.
Unified data layer where AI agents query, mutate, and observe across every system in one graph.
86 agentsTalent graph that watches actual work output and routes the right person — or agent — to the right task.
32 agentsCRM that runs on agents — they research accounts, draft outreach, score deals, and update the pipeline.
12 agents per seatFinance, supply chain, and operations run by agents — books that close themselves, supply that heals itself.
28 agentsAgents read your COBOL, write the Java, generate the tests, run the deploy — with parallel-run validation.
Migration agent suiteVoice agents that answer, qualify, schedule, and escalate — at 98% caller-passes-as-human rate.
340 voice agentsThe orchestration spine. Compose, govern, and observe thousands of specialized agents executing in parallel.
The orchestratorAdversarial agents continuously probing your AI surface for prompt injection, exfiltration, and jailbreaks.
Red-team agent suiteOne AI brain across WhatsApp, Slack, Teams, voice, and seven more — same agents, every channel.
Channel agents per tenantAgents that learn from every conversation, refuse to leak, and tell you what they don't yet know.
Curation agentsEvery agent action signed with temporal permissions — prove who could see what, on any historical date.
Audit agentsAgents that plan projects, route tasks by capacity, detect blockers, and unblock them — before status meetings.
45 project agentsAgents detect skill gaps from real work, surface just-in-time learning, and personalize paths to each role.
Coaching agents