Cloud AI sends data outside your environment
That is a bad fit for finance, legal, healthcare, research, and any team working with confidential business content.
Run document search, validation workflows, and integration design inside your own environment. Caprica keeps sensitive work private, practical, and export-ready.
Start with a self-hosted pilot. Use your own AI provider, keep audit visibility, and stay in control of deployment.
Teams want AI help, but the common options either push data into the wrong place, demand too much technical setup, or leave people doing repetitive work by hand.
That is a bad fit for finance, legal, healthcare, research, and any team working with confidential business content.
Most businesses do not want to stitch together models, security, workflows, and exports before they can prove value.
Release checks, mapping documents, and repeated document search still consume time that should go into delivery and decision-making.
Start with the files, notes, and source systems your team already uses. Caprica turns them into private AI workflows that people can actually review, route, and export.
Bring in documents, release notes, API specs, mappings, and process notes without changing how the team already works.
Use document chat, validation workflows, and integration design inside your own environment with role-aware structure.
Keep outputs practical with checkpoints, summaries, mappings, and export packages that are ready for business review or supplier handover.
Caprica is strongest when information already exists, but teams still need a faster and safer way to turn it into answers, checks, and implementation-ready output.
Ask plain-language questions across contracts, policies, reports, and internal knowledge without copying content into public tools.
Turn release notes, new features, and business changes into role-based validation runs with checkpoints and exports.
Generate functional design drafts, mapping proposals, business rules, and test scenarios from interface sources and process notes.
Keep teams aligned with private workspaces, role-aware access, and outputs that are ready to share with management or delivery partners.
Caprica is built for teams that need faster work without giving up control over where data lives, who can review it, and how outputs are shared.
Deploy Caprica in Docker, run it inside your own environment, and choose how your team handles access, review, evidence, and rollout.
Caprica reduces repetitive knowledge work without asking teams to compromise on privacy, review, or implementation discipline.
Spend less time searching, summarizing, and reconstructing context from multiple files.
Bring AI into teams that care about privacy, approvals, and traceable outputs.
Create validation runs, mapping drafts, and summaries that are already structured for review.
The first rollout should feel manageable: bring in your sources, run one focused workflow, and review the output with the right people.
Start with document Q&A, a validation run, or an integration design that already matters to the team.
Use internal files, release notes, process descriptions, or interface specs as the basis for the workflow.
Validate the result, capture sign-off where needed, and export what the business or supplier needs next.
Each self-hosted trial generates the right bundle for the chosen tier, so teams can test the workflow that actually fits their current stage.
Best for first evaluation and private document Q&A.
For teams that want ongoing self-hosted use.
For teams that want validation and design workflows too.
Choose the plan you want to test, enter your details, and Caprica will prepare a ready-to-run bundle with the right temporary license, role tokens, and docker setup.