Sentinel Alpha
Private AI workspace
NL

AI for the work you can't send to the cloud.

Caprica runs inside your own environment. Your team can search contracts, validate releases, and work with sensitive documents without sending a single byte beyond your perimeter.

Runs in your own environment
Built for business teams, not just IT
Bring your own AI provider
Private

Keep source files and outputs inside infrastructure you control

Workflow-ready

Turn raw source material into structured business workflows

Review-ready

Prepare outputs for approval, audit, and handoff

Enter your email and we will follow up with a private demo path for the Caprica workflow that fits your team.

Privacy by architecture

No data route

Your environment

AI workspace

Caprica

Source files

Documents

Files, prompts, and outputs stay inside your perimeter.

Outside

Public AI cloud

Connection intentionally cut

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

Ready

Supplier Portal Mapping.xlsx

Integration mapping

Ready

Approval Process Notes.docx

Business process

Ready

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.
Source: release notesRole routing includedData stays inside

Why teams buy this

Ask questions in plain business language.

Turn source material into usable drafts faster.

Keep privacy, review, and rollout under control.

FM

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

The problem

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.

01

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.

02

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.

03

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.

The solution

Caprica gives your team private AI that works inside your environment.

Bring in the source material you already have. Caprica turns it into practical workflows that people can review, route, and export.

1

Bring your source material inside

Add documents, release notes, API specs, mappings, and process notes without changing how the team already works.

2

Run private AI workflows

Use document chat, validation workflows, and integration design inside your own environment with role-aware structure.

3

Review, approve, and export

Keep outputs practical with checkpoints, summaries, mappings, and export packages that are ready for business review or vendor handoff.

Use cases

Where teams use Caprica first

Caprica is strongest where the information already exists, but turning it into answers or action still takes too much manual effort.

Contract Q&A

Ask your contracts a question

Let business users ask in normal language instead of searching file by file or pasting content into public AI tools.

Release sign-off

Validate a release before sign-off

Upload release notes or new feature descriptions and generate checkpoints, review questions, owners, and exportable validation flows.

Functional design

Draft a functional design in hours

Use interface notes, source files, and process descriptions to prepare first drafts for mappings, business rules, and test scenarios.

Team alignment

Keep teams aligned, data inside

Use private workspaces, role-based access, and reviewable outputs that are ready for management, auditors, or delivery partners.

Privacy

Your data stays inside your own environment.

That is the product story. Caprica runs where you choose, so your team keeps control over access, review, and output.

Private AI without the usual compromise

Deploy Caprica in Docker, run it inside your own environment, and choose your own AI provider while keeping approvals and evidence in one place.

Runs on infrastructure you control
No hidden analytics layer
Audit visibility included
1

Keep files and outputs in a controlled location

Workspaces, uploads, and generated outputs can stay inside infrastructure your team already trusts.

2

No surprise data movement

Sensitive content should not quietly drift into external tooling or hidden storage just because someone wants to use AI.

3

Control rollout, access, and approval

Decide how Caprica is deployed, who may approve outputs, and how the business reviews results before anything moves forward.

Benefits

Less manual work. More confidence.

Caprica helps teams move faster without losing oversight.

Faster answers

Find, compare, and summarize information in minutes instead of manual file-by-file work

Better adoption

Give teams an AI workflow they can trust instead of another tool they need to work around

Less rework

Start from structured drafts for validation, mapping, and handoff instead of a blank page

How it works

From source material to useful output in one flow.

Start small, prove value in under two hours, and expand from one real workflow to the next.

1

Choose one real use case

Start with document Q&A, a validation run, or an integration design that matters right now.

2

Load your own source material

Use internal files, release notes, process descriptions, or interface specs as the basis for the workflow.

3

Review, approve, and export

Validate the outcome, capture sign-off where needed, and export what the business or supplier needs next.

See Caprica in action

A short walkthrough of how private AI can move from source files to usable business output.

Pro Installation Guide

Step-by-step: how to install Caprica Agent on your own server

FAQ

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?

Caprica is designed around bring-your-own-provider setups such as Claude, OpenAI, or Gemini, depending on how you want to run it.

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.

Next step

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.

Plan a private demoHow it works ->