Custom Software for Sensitive Data Workflows
Build AI tools that run locally and keep your data under control
Not every organisation can rely on cloud AI tools. Some workflows involve sensitive documents, regulated information, or operational constraints where sending data to external platforms is not appropriate.
Berrysbay designs and builds local-first software that allows teams to use AI capabilities while maintaining control over where data is processed.
Depending on your needs, we can:
- Adapt existing Berrysbay tools such as document scanning or redaction workflows
- Build a focused internal tool tailored to your team
- Develop AI-assisted workflows that run locally or on your infrastructure
- Create controlled document processing pipelines for sensitive data
Our goal is not to build large systems from scratch. Instead, we focus on small, practical tools that solve specific operational problems.
When custom tools make sense
Custom solutions are typically useful when organisations need to:
- Process sensitive documents internally
- Use AI without sending data to external services
- Create controlled review or redaction workflows
- Automate document handling tasks
- Build AI-assisted tools for compliance or operations
- Operate in low-connectivity or air-gapped environments
Examples might include:
- Document redaction workflows before sharing with auditors
- Internal knowledge tools that run locally
- AI assistants that operate on internal documents only
- Document classification or tagging tools
- Specialised compliance review workflows
If your problem fits this category, we’d be happy to explore it.
Tell us about your workflow
Before scheduling a conversation, we ask a few short questions. This helps us understand whether we can help and ensures our discussion is productive.
Most submissions take less than two minutes.
When we may not be the right fit
Berrysbay focuses on privacy-conscious workflows and local-first tools. If your project is primarily a large cloud platform, mobile app, or general software product, we may not be the right team — but we’ll gladly suggest alternatives if possible.