One Pipeline.
Every AI Workflow.
Sorvian is built around one proprietary distillation pipeline — the security and data layer beneath every RAG tool, document analyzer, and AI workflow you run. Connect any data source, use any model, and keep your raw data inside your walls.
Raw Data In.
Safe Intelligence Out.
The distillation pipeline is Sorvian's core IP — a proprietary middleware that transforms sensitive organizational data into a queryable knowledge layer any frontier model can safely reason over. The mechanics stay with us. The guarantees stay with you.
Input
Your Organization's Data
Documents, knowledge bases, tickets, and conversations — whatever format, wherever it lives.
The Distillation Pipeline
Sorvian Middleware
A multi-model pipeline that parses, protects, and prepares every artifact — running entirely before anything leaves your boundary.
Output
Safe, Query-Ready Intelligence
A sanitized, role-scoped layer frontier models can reason against — with your raw data left behind.
What the Pipeline Delivers
Depth without the tradeoff.
Every document that flows through Sorvian emerges understood, protected, and ready for retrieval — governed by the same six security principles at every step.
Understanding
Multi-Model Comprehension
A coordinated ensemble of models reads every document the way a subject-matter expert would — capturing structure, intent, and meaning, not just text.
Protection
Automated Governance
Sensitive material is identified, classified, and transformed before it ever approaches the trust boundary. Governance is enforced inside the pipeline, not in a downstream policy layer.
The Tradeoff Nobody Else Makes
We keep the recipe.
You keep the guarantees.
The pipeline's inner workings are proprietary — but its behavior at the boundary is fully specified and auditable. Our security page explains exactly what leaves your walls and what never does.
Three Tools.
One Secure Pipeline Underneath.
Every Sorvian tool is powered by the same distillation pipeline and governed by the same six security principles. Three products today, with more shipping — all built on one universal security layer.
Internal & Customer-Facing
Knowledge Base RAG
A retrieval system powered by your entire knowledge base — manuals, policies, product specs, technical documentation, and more. One system serves two audiences: employees searching internal IP, and customers getting answers drawn from product docs. All queries flow through the security layer automatically.
- Natural-language search across every connected source
- Role-scoped results — the same query returns the right answer for each user
- Customer-facing deployment uses your IP to inform answers without exposing it
- Audit trail on every retrieval and every frontier-model call
The Query
“How do I configure the failover routing for enterprise plans?”
Internal
Full engineering runbook with config flags, IP ranges, and schematics.
Customer
Plain-language setup walkthrough with public docs and a link to support.
Same knowledge base. Audience-aware results.
Built In, Not Bolted On
Security Layer
Security is the foundation of every Sorvian interaction, not an add-on. The security layer enforces PII stripping, IP anonymization, and sensitivity classification on every query — before any data crosses the trust boundary. Governance is enforced inside the pipeline, not in a separate policy engine you have to wire up.
- Automatic PII detection and removal on every outbound query
- Proprietary identifiers rewritten to anonymous placeholders
- Sensitivity classification applied to every derived artifact
- Enforcement happens before anything reaches an external model — not after
Before — Raw Query Content
“Summarize the employment contract for Alex Chen, SSN 123-45-6789, hired at $145,000 on project Atlas.”
After — What Public Models Receive
“Summarize the employment contract for [PERSON_01], ID [ID_REDACTED], hired at [AMOUNT_TIER_3] on project [PROJECT_ALIAS_7].”
High-Efficiency Processing
Document Analyzer
Point the analyzer at a folder, a SharePoint site, or an S3 bucket and ingest thousands of documents in minutes — contracts, reports, schematics, codebases, images. Local LLMs extract structure, entities, and relationships. Each document is auto-classified with sensitivity tags and indexed into a vector database that's searchable in natural language.
- Any format: PDFs, Word, Excel, PowerPoint, code files, images
- Auto-classification with sensitivity tags at ingestion time
- Entity and relationship extraction for richer retrieval
- Thousands of pages indexed and queryable in seconds
Ingest
Any format
Parse
Local LLMs
Index
Vector DB
Query
Natural language
Any
Format supported
Auto
Classified + tagged
Seconds
Not hours
One Pipeline. Three Tools. More Coming.
Every new Sorvian capability is built on the same pipeline — so your security posture never has to catch up with your product surface.
When we add a tool, it inherits the six principles, the trust boundary, and the RBAC enforcement. No one-offs, no exceptions.
Connects to the Tools
You Already Use.
Sorvian plugs into your existing knowledge sources and frontier models — zero changes required to your file structure or workflows. Documents are indexed in place, and you can swap AI providers without re-ingesting a thing.
Knowledge Sources & Tools
Where Your Data Already Lives
SharePoint
Index documents in place across every site collection in your organization.
OneDrive
Business, personal and shared libraries, no copies required.
Google Drive
Docs, Sheets, Slides, and PDFs across your workspace.
Microsoft Teams
Channels, messages, and shared files as knowledge context.
Slack
Conversations and threads as first-class retrievable context.
Jira
Tickets, epics, and sprint context available to internal queries.
Salesforce
Tickets, epics, and sprint context available to internal queries.
ServiceNow
Tickets, epics, and sprint context available to internal queries.
FreshService
Tickets, epics, and sprint context available to internal queries.
AI Providers
Utilize Powerful Frontier Models
Claude
Anthropic frontier models.
OpenAI
GPT-family models.
Gemini
Google DeepMind models.
Ollama
Local-first open-weight models.
Don't see your tool?
The distillation pipeline is source-agnostic.
New connectors are designed to drop into the existing pipeline without changing the security model. If you need a specific integration, tell us — it's often a days-long build, not weeks.
Full AI Capability.
Zero Data Exposure.
Book a demo with the Sorvian team. We'll walk through the pipeline, answer security questions, and help you pick the deployment path that fits your environment.
In a 30-minute demo, we'll
- Run a live demo with your data
- Scope a Cloud or on-premise rollout
- Review the security architecture with your team
- Plan a connector or integration
Fastest Path
Start on Sorvian Cloud
Fully managed on AWS with zero hardware setup. From signup to first query in under an hour.
Strictest Posture
Talk On-Premise
Deploy Sorvian entirely on your own hardware. Air-gap capable. Nothing leaves your infrastructure.