A fleet of AI agents,
all under one roof.
Putting AI agents into production turns into a security nightmare fast.
Each agent gets its own .env. Keys end up in three repos, two laptops, and a Telegram thread. Rotation is impossible.
Did the agent actually call that API? With which key? On whose behalf? Who approved it? Most setups have no answer.
A single ChatGPT-class agent can do a task. You need ten of them coordinating, escalating, calling each other — and that is its own platform.
Built for agents that actually run a business.
Sales, ops, coder, auditor, support — each agent has its own role, system prompt, and explicit toolset. No "do anything" agents.
Every API key, DB password, OAuth token lives in T-Master vault. Agents request, vault decides, every fetch is logged.
Every LLM call, every tool call, every API hit is tagged with agent identity — so you always know who did what, with which budget.
Agents cannot call tools they have not been allowlisted for. No prompt injection, no scope creep, no surprise emails sent.
Agents can invoke each other through a coordinator. Sales hands a qualified lead to Ops, Ops fills a support ticket if it stalls, Auditor reviews it weekly.
Full transcript per agent run: prompts, tools called, responses, escalations. Streamable to your SIEM.
Cheap models for triage, premium models for hard tasks, all routed through one proxy with quotas per agent and per project.
CRM, calendar, email, accounting, HR, files — exposed as agent tools with schemas, retries, idempotency built in.
High-impact actions (send mass email, refund customer, deploy code) require approval. Auditor agent flags suspicious patterns automatically.
Where Hive earns its keep.
Lead qualification, follow-up emails, meeting prep, proposal drafting — agents work the pipeline while humans close.
Coder agents fix small tickets, auditor agents verify, deploy agent ships only what passed review.
Invoice triage, expense classification, data entry from PDFs, follow-up scheduling — repetitive ops shifted to agents.
A separate agent fleet per subsidiary, vault-isolated, with one corporate auditor agent across all.
Three packages, sized to your scale.
Every quote is tailored. Tell us your setup, we come back with a fixed number within one business day.
Up to 3 agents, basic vault + audit.
Best fit: pilot project, single use case, single team.
- Up to 3 named agents
- T-Master vault for credentials
- Basic audit log
- Up to 10 tool integrations
- 50,000 LLM calls / month included
- Business-hours email support
Up to 15 agents, multi-agent orchestration, SIEM streaming.
Best fit: multi-team rollouts, mid-size businesses scaling AI ops.
- Everything in Essential
- Up to 15 named agents
- Multi-agent orchestration + escalation
- SIEM streaming for audit logs
- Human-in-the-loop approval workflows
- Up to 50 tool integrations
- 500,000 LLM calls / month included
- Extended-hours support, monthly review
Unlimited agents, dedicated tenant, custom models.
Best fit: enterprises, regulated industries, holding groups.
- Everything in Professional
- Unlimited agents + tools
- Dedicated tenant + private routing
- Custom + fine-tuned models
- BYO-LLM (Anthropic, OpenAI, Bedrock, custom)
- Custom audit + compliance reporting
- Dedicated AI engineer + quarterly review
- 24/7 support, 99.9% uptime SLA
Done-for-you, in weeks.
- Days 1–5Discovery + agent design
Identify the workflows agents will own, the tools they need, the humans-in-the-loop. Draft system prompts and toolsets.
- Week 2Vault + tool wiring
Provision T-Master vault entries, allowlist tools, configure model router, set per-agent quotas.
- Week 3Pilot run
Run agents on real workflows alongside human operators. Tune prompts, fix tool failures, refine escalation rules.
- Week 4Production + handover
Cut over to autonomous operation with HITL on high-risk paths. Stream logs to SIEM. Hand over with runbook.