Local by default
Inference, retrieval, and document storage remain inside customer-controlled infrastructure.
Intelligence that stays in the room.
Ask, retrieve, and act on your company’s knowledge—without sending sensitive work beyond your boundary.
Local-firstBy design
CitedBy default
Human-approvedAt every action
KAVROTH / LOCAL
SECURE
“What changed in our data retention policy?”
✦ GROUNDED RESPONSE
The 2026 policy reduces the default retention period for customer support recordings from 24 to 12 months. Legal holds remain exempt.
01
Data Retention PolicySection 4.2 · Updated May 18, 2026
97%
Inference
Retrieval
Documents
ON DEVICE
ENCRYPTED STORE ✓
NO DATA EGRESS ✓
SCROLL TO ENTER ↓
LOCAL INFERENCE
SOURCE CITATIONS
ROLE-BASED ACCESS
SIGNED UPDATES
OPTIONAL CLOUD
01 / WHY KAVROTH
AI should understand your work.
Not own your data.
Most enterprise AI asks you to move sensitive knowledge into someone else’s cloud. Kavroth reverses that assumption.
It runs where your documents already live, delivers answers your team can verify, and keeps every action inside clear permission boundaries.
THE DEFAULT
Cloud-first copilots
- × Sensitive content leaves your environment
- × Opaque retrieval and model behavior
- × Answers without verifiable provenance
- × Broad access with limited controls
VS
THE KAVROTH MODEL
Local-first intelligence
- ✓ Primary content stays in your boundary
- ✓ Retrieval from approved knowledge only
- ✓ Every answer linked to its source
- ✓ Role-aware, permissioned, auditable
02 / ARCHITECTURE
Built around a boundary.
Yours.
Speech, inference, retrieval, and storage happen locally by default. An optional control plane handles fleet metadata—never raw conversation content.
Get the security brief ↗CUSTOMER BOUNDARY
KAVROTH
LOCAL ORCHESTRATION
◉VOICELocal STT / TTS
⌘INFERENCEPrivate models
▤KNOWLEDGEEncrypted store
⌾POLICYRBAC + approvals
OPTIONAL / METADATA ONLY
Fleet control plane
Health · Updates · Enrollment
03 / BUILT FOR SENSITIVE WORK
One system.
Four ways in.
Choose your function to see how Kavroth fits the work already happening inside your organization.
Give teams AI without giving up control.
Deploy inside your environment, integrate with existing identity patterns, and manage access, updates, and audit events from one clear control surface.
SAMPLE WORKFLOW
Explore this workflow ↗
“Show me every policy affected by the new vendor access standard.”
✦11 documents analyzed · 4 affected policies · Citations ready
04 / CONTROL, MADE VISIBLE
Trust is not a claim.
It’s a control surface.
010203
Grounded & cited
Answers point back to source documents, sections, and versions your team can verify.
✓
Role-aware access
Knowledge retrieval respects identity, team, document, and policy-level permissions.
REQUEST→APPROVE
Human-approved action
Nothing consequential happens invisibly. Actions stay explicit, permissioned, and reviewable.
“The goal is not AI everywhere.
It’s intelligence where it belongs.”
05 / QUESTIONS, ANSWERED
Before you bring
security into the room.
Does Kavroth require public-cloud inference?+
No. Primary inference and document retrieval are designed to run locally or inside customer-controlled infrastructure by default.
Can Kavroth run on-premises?+
Yes. Deployment can be scoped as a local appliance, on-premises system, or a controlled hybrid model with an optional fleet control plane.
How are source citations handled?+
Responses can link directly to approved source documents, including section and version metadata, so users can verify the answer in context.
What does the optional cloud layer see?+
The optional control plane is intended for operational metadata such as device health, enrollment, and signed updates—not raw conversation content.
PRIVATE PREVIEW
Bring your hardest
security question.
See how Kavroth handles a real workflow from your team—inside the boundaries your organization requires.