Drevon for Enterprise
AI agents for your whole company. Self-hosted in your own cloud.
Drevon puts AI agents in every vertical: GTM, sales, marketing, operations, and HR. They answer, act, and work proactively on a platform your team deploys inside your VPC. Your data, your models, your audit trail. Nothing leaves.
Azureand air-gapped infrastructure.Your teams already use AI. You just don't control where the data goes.
Every department is pasting customer records, contracts, and pipeline data into cloud chatbots you never approved. The copilots you did approve stop at the edge of one vendor's suite, and everything they touch lives on someone else's infrastructure.
Security says no. The business says now. Until both get a yes, shadow AI wins by default.
One boundary. Everything inside it is yours.
Your people connect from anywhere; the platform never leaves your VPC. Model calls exit through one gateway to endpoints you control, and nothing else crosses the line.
One platform. Three kinds of work.
Ask
Agents that know your company. Connected to your documents, systems, and knowledge, with answers scoped to what each person is allowed to see.
youWhat's our parental leave policy for a second child?
26 weeks paid, same as the first; eligibility starts day one.
Source: Employee handbook §4.2 (updated March)
answer scoped to what this person may see
Act
Agents that do real work: update the CRM, file the tickets, draft the contract. Every irreversible action waits for a human approval you define.
✓ Matched 42 invoices to POs
✓ Drafted 5 exception tickets
⚠ 2 payments above threshold
Anticipate
Agents that start without being asked: on a schedule, a webhook, or a signal. Monday's pipeline digest writes itself.
Mon 08:00 · pipeline digest → sent to #sales
webhook · new P1 ticket → triaged, owner paged
signal · contract renewal in 30d → brief drafted
nobody asked. it was already done.
Anywhere
Web, desktop, CLI, Slack, and Teams. Your people meet their agents where they already work.
Slack
TeamsBring Drevon to your enterprise two ways
Deploy agents to your workforce, or build your own on the same platform. Same boundary, same governance, either way.
Deploy to your workforce
Ship ready-made agents to every vertical from the admin catalog: GTM, sales, marketing, operations, and HR, with role-based access, per-user credentials, and approval gates your admins define.
Book a demoBuild on the platform
Anyone can compose their own agent within policy: pick approved tools from the MCP registry, point at your model endpoints, inherit the audit trail. Custom agents get the same governance as the catalog’s.
See the architectureSelf-hosted end to end. On-premise, in your VPC, or fully air-gapped.
One install brings up the whole platform inside your cloud: agents, models, search, memory, and audit. Model calls route through a single gateway to endpoints you control: Bedrock, Vertex, or a private LLM on your own GPUs.
Governance your auditors can actually audit.
Every agent, every tool call, every approval: recorded, user-scoped, and replayable. Agents act with each user's own credentials, so an agent can never see data its user couldn't. Policy is code, approvals are gates, and the kill switch is one click.
Deploy AI agents across every vertical.
One platform, one catalog, every team. Admins ship ready-made agents per vertical; anyone can build their own within policy. Watch a run from each.
“Build my renewal brief before Thursday's call.”
Account research and pipeline visibility that keep go-to-market moving: a GTM engineering stack, minus the engineers.
SESSION 7C2E · 4m 12s · 38 steps
“Keep the CRM honest without me typing a word.”
AI sales agents that keep the CRM honest and write Monday's pipeline digest before Monday.
SESSION 9B41 · 3m 05s · 27 steps
“Tell me which channel is quietly dying.”
AI marketing agents for campaign reporting, funnel watching, and drafts of what performs.
SESSION 5F18 · 5m 33s · 44 steps
“Reconcile the invoices. Wake me for exceptions.”
Process automation with approval gates on anything irreversible.
SESSION 2D77 · 6m 02s · 51 steps
“Have the new AE's first 90 days planned by Monday.”
Policy answers that cite the handbook, onboarding that runs itself.
SESSION 8A03 · 2m 48s · 19 steps
That's five verticals; customer service and whichever team asks next run on the same catalog. Every step you just watched is recorded, user-scoped, and gated where it's irreversible. Your auditors can replay any run.
In your cloud in a day. In your departments in a week.
Deploy
One Terraform/Helm install brings up the platform in your VPC.
Connect
SSO, your tools, your model endpoints, your knowledge sources.
Launch
Pick agents from the catalog, set policies, invite the org.
Questions your security team will ask.
What is a self-hosted AI agent platform?
A platform where the agents, models, data, and controls all run on infrastructure you own: your cloud account or data center, not a vendor’s servers. You take a license; you host everything.
Can Drevon run fully air-gapped?
Yes, with self-hosted models on your own GPUs. Connected deployments can instead use private Bedrock or Vertex endpoints inside your cloud.
Which AI models does it use?
Any. Model calls go through one gateway you configure. Swap providers or run open-weight models without touching your agents.
How is user data isolated?
Every session runs as its own isolated process with that user’s own credentials. One user’s agent can never read another’s history; the data is never in the same process.
How is this different from Microsoft 365 Copilot or Glean?
They’re excellent inside their suites, and they’re hosted by the vendor. Drevon is the platform for everything in between: cross-system agents that act, on infrastructure you control.
See Drevon running in a cloud like yours.
A 30-minute walkthrough: live deployment, agent catalog, approval flow, and the audit trail, with your questions answered by the people who built it.