100% on-premise
Deploy inside your own data center or private cloud. Documents, embeddings, credentials, and every log line stay behind your firewall. Local LLM inference: no external AI API required.
Trevis sits on top of the systems you already run (shared folders, HR apps, ERP, spreadsheets) and turns the chat apps your team already uses into the work interface. Ask a question, get a cited answer from your source of record. Permission-aware. Fully audited. And your data never leaves your walls.
Answers live in shared drives, HR portals, ERP screens and spreadsheets, locked behind logins, formats, and tribal knowledge. Generic AI assistants either can't reach them, leak them to the cloud, or hallucinate. Trevis fixes all three.
Sending internal documents to third-party AI services is a compliance nightmare. Trevis runs entirely inside your perimeter.
A confident wrong answer is worse than no answer. Trevis replies "not found" instead of guessing, and cites every fact it returns.
New tools die from non-adoption. Trevis meets your team where they already are: WhatsApp. Zero installs, zero training.
A team member sends a plain-language question (text or voice) in WhatsApp today, or Slack soon. No new app, no new habit.
Trevis understands the intent and selects the right skill and integration, filtered by exactly what the asker is allowed to access.
The answer is retrieved live from your actual systems (folders, HR, ERP, Excel), never from a stale copy or a guess.
The answer arrives with its source attached. The full trace (who asked, what ran, what was returned) lands in the audit log.
Every design decision starts from three constraints: data sovereignty, zero friction, and provable truth.
Deploy inside your own data center or private cloud. Documents, embeddings, credentials, and every log line stay behind your firewall. Local LLM inference: no external AI API required.
No new app to roll out. WhatsApp is live today via self-hosted pairing or the official Business API, with Slack coming soon on the same channel layer.
Two separate permission planes: console RBAC for admins, per-skill grants for WhatsApp users. Nobody sees what they shouldn't, not even by asking nicely.
Every reply carries its source. When the answer isn't in your systems, Trevis says "not found". It never fabricates.
Every question, route, source, and answer is logged and searchable. Compliance reviews become a filter, not a forensic project.
Shared folders, HR apps, ERP, spreadsheets, internal APIs, login-protected web apps: all connected through a registry with vault-stored credentials. Read skills answer questions today; action skills, like opening a GitHub PR from a production incident, are next on the roadmap, governed by the exact same permission, approval, and audit model. No rip-and-replace, no migration project.
Trevis was designed for regulated and privacy-conscious organizations from day one. It's not a cloud service with an "enterprise tier". It is infrastructure you own.
A clean web console where IT owns the whole operation. No terminal required.
| Trevis | Cloud AI chatbots | |
|---|---|---|
| Where your data lives | ✓ Inside your infrastructure | ✗ Third-party cloud |
| Wrong-answer behavior | ✓ Says "not found" | ✗ Hallucinates confidently |
| Source citations | ✓ On every answer | ✗ Rare or none |
| Access control | ✓ RBAC on every read | ✗ One bot sees everything |
| User adoption | ✓ WhatsApp today, Slack soon: already installed | ✗ New app, new logins, training |
| Audit trail | ✓ Complete & searchable | ✗ Opaque |
No. Trevis is deployed on-premise or in your private cloud. Documents, embeddings, credentials, and logs all stay inside your own infrastructure, including LLM inference, which runs on local models.
No. Trevis works inside the chat apps your team already opens dozens of times a day: WhatsApp today, Slack soon. They send a message; they get a cited answer. That's the entire learning curve.
WhatsApp is supported today, via self-hosted pairing or the official Business API. Slack support is coming soon, and the channel layer is built to add more workplace chat platforms over time. Permissions, citations, and audit logging apply identically on every channel.
Every answer must be grounded to a source of record and is returned with a citation. If the information isn't found in your connected systems, Trevis replies "not found". It never invents an answer.
Very. Console admins get role-based permissions with direct grants on top. WhatsApp users are allowlisted by phone number and receive per-skill permissions. Each capability is granted explicitly, and every use is checked and logged.
Shared folders, HR applications, ERP systems, spreadsheets, internal APIs, and login-protected web apps. Connectors are registered in the console with credentials stored in a secrets vault.
Today Trevis focuses on read operations: answering questions from your source of record, with citations. Action skills are next on the roadmap: think identifying a production incident and opening a GitHub pull request with the fix, then sharing the PR link in chat for human review. Every action follows the same permission, approval, and audit model as reads. Nothing runs without an explicitly granted skill, and a human always reviews the result.
Trevis ships as containerized services for your own hardware or private cloud. A typical pilot (one channel, a handful of integrations and skills) is live in days, not months.
See Trevis answer real questions from your own systems, in a private, guided demo.
On-premise pilot · your infrastructure · your data never leaves