The intelligence layer of an entire company, shipped as one product.
Each vertical works alone. They become unfair when you run them together — sharing one data fabric, one identity model, one policy engine, one bill.
Atlas
Unified data layer where AI agents query, mutate, and observe across every system in one graph.
86 agents- Query agents — natural-language → federated SQL/graph
- Lineage agents — track every read and write
- Quality agents — auto-detect drift and fix schemas
- ETL agents — connect new sources without code
Sentinel
Talent graph that watches actual work output and routes the right person — or agent — to the right task.
32 agents- Skill-mapping agents — capability graph from work output
- Routing agents — match tasks to people or AI
- Coaching agents — surface growth opportunities
- Capacity agents — predict bandwidth conflicts
Halo
CRM that runs on agents — they research accounts, draft outreach, score deals, and update the pipeline.
12 agents per seat- Research agents — auto-enrich every account
- Outreach agents — draft email and LinkedIn DMs
- Scoring agents — predict close probability
- Pipeline agents — keep stages and dates honest
Continuum
Finance, supply chain, and operations run by agents — books that close themselves, supply that heals itself.
28 agents- Closing agents — books reconcile autonomously
- Forecasting agents — predict cash and inventory
- Anomaly agents — catch fraud and errors at the source
- Supplier agents — replan when ports clog
Lazarus
Agents read your COBOL, write the Java, generate the tests, run the deploy — with parallel-run validation.
Migration agent suite- Analysis agents — map every paragraph and dependency
- Conversion agents — COBOL → Java 21 + Spring Boot
- Test agents — generate JUnit 5 from working-storage
- Parallel-run agents — diff old vs new in production
Echo
Voice agents that answer, qualify, schedule, and escalate — at 98% caller-passes-as-human rate.
340 voice agents- Inbound agents — answer in <200ms with full context
- Outbound agents — qualify and schedule autonomously
- Escalation agents — route to humans when needed
- Coaching agents — train your team from real calls
Hivemind
The orchestration spine. Compose, govern, and observe thousands of specialized agents executing in parallel.
The orchestrator- Compose — build typed agent graphs from primitives
- Govern — policy guardrails, cost ceilings, rollback
- Observe — full traces of every agent run
- Spawn — agent swarms scale to your workload
Aegis
Adversarial agents continuously probing your AI surface for prompt injection, exfiltration, and jailbreaks.
Red-team agent suite- Probe agents — daily attack runs on your AI surface
- Coverage agents — map every AI endpoint
- Remediation agents — auto-draft fix PRs
- Compliance agents — generate auditor-ready reports
OmniChat
One AI brain across WhatsApp, Slack, Teams, voice, and seven more — same agents, every channel.
Channel agents per tenant- Identity agents — one user across all channels
- Workflow agents — 4hr processes in 3min
- Routing agents — pick channel per user preference
- Permission agents — Chronos rules on every message
Lexicon
Agents that learn from every conversation, refuse to leak, and tell you what they don't yet know.
Curation agents- Curation agents — propose knowledge from chats
- Permission agents — gate retrieval, not just docs
- Gap agents — surface what your team can't answer
- Translation agents — 47 languages with glossaries
Chronos
Every agent action signed with temporal permissions — prove who could see what, on any historical date.
Audit agents- Audit agents — every action timestamp-signed
- Compliance agents — SOX, HIPAA, GDPR pre-built
- Approval agents — predictive routing by context
- Time-travel agents — query past access states
Forge
Agents that plan projects, route tasks by capacity, detect blockers, and unblock them — before status meetings.
45 project agents- Planning agents — propose plans from one-line goals
- Routing agents — capacity- and skill-aware
- Blocker agents — detect stalls, draft unblock notes
- Resource agents — cross-project conflict detection
Mentor
Agents detect skill gaps from real work, surface just-in-time learning, and personalize paths to each role.
Coaching agents- Skill agents — gap detection from work output
- Delivery agents — surface learning mid-task
- Path agents — personalize by role, pace, goal
- Practice agents — generate scenarios from your data
Most AI companies sell you a model, an API, or a single product. Then they leave you to glue it all together yourself.
We think the seams are where the value escapes. So we build the whole stack — software, data fabric, and the data centers underneath it all.
The result is one vendor, one bill, one identity model, one accountable team — running on infrastructure we own end to end.
