Caprica Vault
Private AI inside infrastructure you control
Private AI for work that cannot become public data.
Caprica Vault runs inside your own environment. Source files, access rules, and audit evidence stay under your control while a privacy firewall masks sensitive context before any approved external model call.
Keep source files, indexes, roles, and audit events in your environment
Detect and mask sensitive data before an external model step
Review the outbound payload and generated result before handoff
Enter your email and we will follow up with a private demo path for the Caprica workflow that fits your team.
Visible model boundary
Policy checkedYour controlled environment
Caprica Vault
Privacy firewall
Detect
Mask
Preview
Log
Model route
Local model
The complete model step stays inside.
Approved provider
Receives sanitized text snippets only.
Raw identifiers, full files, and audit events stay outside the external payload.
Caprica workspace
Source input
Add documents, notes, or interface specs
Release notes, process notes, contracts, mappings, and supporting files
Unit4 Release Notes Q2.pdf
Release document
Supplier Portal Mapping.xlsx
Integration mapping
Approval Process Notes.docx
Business process
Question asked
Which roles must validate this change before the purchase flow can go live?
Answer returned
- Caprica identifies which roles, approvals, and business risks are affected.
- It suggests a role-based validation flow with checkpoints and approval steps.
- The result is ready to export for review, audit, or supplier follow-up.
Why teams buy this
Ask questions in plain business language.
Turn source material into usable drafts faster.
Keep privacy, review, and rollout under control.
Pilot feedback
“Within a day, we could ask questions we normally avoided because the data could not leave our environment.”
Functional application manager, Dutch healthcare organizationTested in a 14-day Starter trial
From Docker image to reviewed result in five clear steps.
The system administrator controls the environment. Key users build trusted workspaces. Employees use simple workflows. Caprica guards the model boundary and records the evidence.
The controlled route
Your source data stays local; the model route is a deliberate choice.
Stays local
Files, index, roles
Privacy firewall
Detection, masking, outbound preview
Model choice
Local or sanitized provider call
Back in the Vault
Human review and audit evidence
- 01
System admin
Deploy and set the boundary
Run the signed Docker image on a server, PC, or private cloud and configure roles, storage, network policy, and the allowed model route.
- 02
Key user
Create a trusted workspace
Upload approved documents, release notes, API specifications, or process files. Caprica indexes them locally and applies workspace access.
- 03
Business user
Choose a practical workflow
Ask a knowledge question, prepare release validation, design an integration, or run a controlled analysis without learning prompt engineering.
- 04
Privacy firewall
Inspect what the model may receive
Sensitive values are detected and masked. With an external provider, the outbound preview shows the sanitized context; with a local model, no provider payload leaves.
- 05
Reviewer
Validate, approve, and export
Check sources and results, record sign-off, and export the answer, test set, flowchart, or mapping together with an auditable history.
Most AI tools are not built for sensitive business work.
Teams want AI, but the default options send data to the cloud, require too much technical setup, or still leave people doing manual repeat work.
Public AI puts data in the wrong place
That is a real risk for finance, legal, healthcare, research, and any team working with confidential documents or internal process logic.
Private AI should not take months of IT work
Teams do not want to stitch together models, security, approvals, exports, and workflows before they can prove value. Caprica is the ready-to-run version.
Manual analysis still slows delivery
Document review, release validation, functional design, and mapping work still take too much time when people start from scratch every time.
One controlled workspace between your data, your people, and AI.
Caprica combines private retrieval, policy controls, specialist workflows, and human approval so smaller IT teams do not have to assemble an enterprise stack themselves.
Keep the source of truth inside
Documents, indexes, permissions, and audit evidence stay inside the infrastructure your organization controls.
Control what a model may see
The privacy firewall detects identifiers, masks sensitive context, and shows the outbound payload before an approved provider is used.
Turn answers into governed work
Run document Q&A, release validation, and integration design with human checkpoints, role-aware review, and exportable evidence.
Four practical workspaces, one private boundary
Start with one module and expand when the team is ready. Each workspace uses the same access controls, privacy firewall, and audit trail.
Ask internal documents in plain language
Search contracts, policies, manuals, and project files through a private RAG workspace with source-aware answers.
Turn release notes into role-based tests
Generate test questions, checkpoints, owners, and sign-off evidence for each affected business role.
Draft integrations on top of existing APIs
Use API specifications and process notes to prepare flowcharts, mappings, business rules, test scenarios, and review packages.
Create evidence-backed operational insight
Compare controlled source material, calculate exact local results where needed, and prepare reviewable management summaries.
Private means knowing exactly what stays and what may leave.
Caprica makes the model boundary visible. A local model keeps the entire flow inside; an approved external provider receives only the sanitized context permitted by policy.
A privacy boundary your team can inspect
Deploy Caprica in Docker, set roles and network policy, and choose a local model or your own provider. Before an external call, users can inspect the masked outbound payload.
Local source, index, permissions, and evidence
Original files, vector data, role settings, and audit events remain inside infrastructure your team controls.
Preview the external model payload
Caprica shows the sanitized text eligible for an external call and keeps raw identifiers and source files outside that payload.
Choose the route per deployment
Use a local model for a closed route, or allow a configured provider after policy checks, masking, and human review.
Less manual work. More confidence.
Caprica helps teams move faster without losing oversight.
Find, compare, and summarize information in minutes instead of manual file-by-file work
Give teams an AI workflow they can trust instead of another tool they need to work around
Start from structured drafts for validation, mapping, and handoff instead of a blank page
Choose the trial that fits your team.
Each trial is designed to help you test a real workflow inside your own environment.
14-day private trial
Starter
Free trial, then from EUR199/month
Best for private document Q&A and a first evaluation
Use your own files to prove the value of private search and answers quickly.
- Private document chat and search
- Fast first proof of value
- Simple rollout for a first team
Self-hosted trial
Pro
From EUR499/month
For teams that want a private AI workspace for daily work
Built for recurring internal knowledge, reporting, contracts, and teams that want private AI in their own environment.
- Everything in Starter
- Workspaces, audit, and redaction
- Best fit for weekly operational use
Self-hosted trial
Pro+
From EUR899/month
For teams that also want testing and integration workflows
Unlock Validation Hub and Integration Hub so teams can test releases, validate new features, and draft integrations in their own environment.
- Everything in Pro
- Validation Hub for role-based testing
- Integration Hub for functional design and mappings
Enterprise rollout
Managed and on-premise rollout is available for teams that need dedicated infrastructure, stricter controls, or deployment across multiple departments.
Common questions
Straight answers in plain language.
What kinds of files can Caprica work with?
Teams usually start with PDFs, Word documents, spreadsheets, release notes, mapping sheets, and process notes.
Who is Caprica for?
Caprica is built for teams that handle sensitive information and still want practical AI support. Typical buyers are in finance, legal, operations, QA, and functional management.
Can it stay inside our own environment?
Yes. That is one of the core reasons Caprica exists. You choose where it runs and how access is managed.
What is the difference between Starter, Pro, and Pro+?
Starter is for private document Q&A. Pro expands that into a private workspace for recurring business use. Pro+ adds Validation Hub and Integration Hub for testing and design workflows.
What AI provider do we need?
You can use a local model or bring an approved provider such as OpenAI, Claude, or Gemini. External calls receive only the policy-approved context shown in the outbound preview.
How long does setup take?
For a first pilot, most teams are running in under two hours with Docker and the step-by-step guide.
Can we start with one workflow and expand later?
Yes. That is the best way to evaluate Caprica. Start with one real use case, prove value, and then expand into other workflows.
One workflow. Your own environment. Fourteen days.
Show your team what private AI looks like when it is built for real business work, not just demos.
Enter your email and we will follow up with a private demo path for the Caprica workflow that fits your team.