Local-first tools for organisations that value control over their data.
Secure AI software and governance programs for teams handling sensitive or regulated information.
BOOK A FREE CONSULTATIONDo you fully understand your data exposure?
Cloud tools and AI workflows are now part of everyday operations. But without clear boundaries, their adoption can introduce hidden exposure — allowing sensitive information to move beyond your intended scope.
We help organisations define those boundaries — and keep control where it matters.
Learn about the assessment →
Rethink AI.
Rethink security.
While most AI tools send data to external services, using AI does not always need to mean sending sensitive data over the internet.
Where local execution is the right fit, berrysbay develops local-first tools that keep AI processing inside your organisation — so sensitive data can remain on your devices or within your own infrastructure.
How Berrysbay helps organisations stay in control
The AI & Sensitive Data Risk Assessment helps organisations understand how documents containing personal, confidential, or regulated information are shared externally and processed by AI tools — and where simple safeguards can reduce risk.
Whether you need a single assessment, one specific service, or support across all three stages, Berrysbay can engage at the level that suits your organisation.
Assess
AI & Cloud Data Exposure Assessment
Identify where sensitive data leaves your environment.
Build
Custom Local-First Tools
For organisations with specialised workflows, we design and build secure tools tailored to their environment. Internal assistants, document workflows, and automation.
Deploy
Local-First Software
Implement existing secure tools within your environment — including data sanitisation tools, internal assistants, document analysis, and knowledge systems.
Trusted by organisations that can’t risk data leaks
Local-first software, built for control.
Berrysbay develops focused, on-premise tools for organisations handling sensitive information or operating in constrained environments. Each product runs locally — reducing external exposure and preserving governance boundaries.
InBay
A local-first and air-gap compatible sensitive data discovery and redaction tool.
Scan, highlight, and clean PII directly on your device — without uploading documents to third-party cloud services.
Designed for organisations that need visibility before sharing, analysing, or automating sensitive files.
LocalBay Document Platform
An on-device document and workflow platform designed for sensitive environments.
Includes embedded local AI for summarising, auditing, and analysing files without transmitting data externally.
Supports compliance-oriented workflows with controlled exports and audit-ready processes.
KnowledgeBay
An air-gapped internal knowledge assistant built for restricted environments.
Index policies, procedures, and internal documents, then query them using embedded local AI — without external data transfer.
Designed for organisations that cannot use cloud-based AI tools but still need fast, reliable knowledge retrieval.
Need a custom local-first tool?
For organisations with sensitive data or constrained environments, we design and build focused, on-premise tools that run locally — including AI-powered workflows — without relying on external cloud services.
Custom apps that stay within your control
We build small, high-trust tools for real workflows — things your team can run locally on a workstation or internal infrastructure. Typical projects include sensitive document handling, internal assistants, offline workflows, and automation where data cannot leave your environment.
This is not general-purpose development. We only take on work where local execution is essential (sensitivity, governance, remote/offline, or air-gapped requirements).
Why Berrysbay?
We combine local-first software with structured workshops to help organisations use AI responsibly — without losing control of their data.
Local-first by design
Our tools run within your environment. Sensitive data does not need to leave your organisation unless you explicitly decide it should.
AI with governance in mind
We design AI workflows that respect data boundaries and organisational responsibility.
Built for sensitive environments
Designed for teams handling confidential, regulated, or high-trust information where external exposure is not acceptable.
Structured AI risk workshops
We run tailored workshops that map how AI tools interact with your data, identify exposure points, and define practical governance boundaries.
Practical enablement
Beyond advice, we equip teams with local tools and clear implementation paths.
Direct expertise
You work directly with the engineer building the tools. Clear scope, clear responsibility, and no layers of outsourcing.
FAQ: Local-First AI, Document Redaction and AI Data Exposure
Berrysbay helps organisations reduce sensitive data exposure in document workflows and AI usage.
We do this through:
• AI data exposure risk assessments
• practical workshops on AI governance and document handling
• local-first and on-premise software for sensitive workflows
Our focus is not general IT consulting. We specialise in the point where documents, AI tools, privacy, and operational reality meet.
An AI data exposure risk assessment is a focused review of how your team handles documents, uses AI tools, and shares information internally or externally.
We look at questions such as:
• Where does sensitive data move?
• Which workflows create accidental exposure risk?
• Are staff uploading internal files into cloud AI tools?
• Where would redaction, policy, training, or local-first tools help?
The goal is to give you practical next steps, not generic advice.
Document redaction means removing or masking sensitive information before a file is shared with another party.
Organisations often need document redaction before sharing files with:
• vendors
• auditors
• contractors
• regulators
• external advisers
Common examples include personal information, customer details, internal identifiers, financial information, and confidential business content.
Local AI means AI tools run on your own device or within your own environment instead of sending data to an external cloud service.
On-premise AI is similar, but usually refers to software running on your organisation’s internal infrastructure.
This approach can help reduce:
• external data exposure
• reliance on third-party AI providers
• issues in low-connectivity or controlled environments
It is especially useful for sensitive document workflows.
Usually, no.
Berrysbay is designed to work around existing workflows and improve how sensitive data is handled. In many cases, we help organisations:
• identify where exposure happens
• add redaction or review steps
• introduce safer AI workflows
• strengthen governance without rebuilding everything
We focus on targeted improvements with practical value.
Yes.
We offer practical sessions focused on AI governance, document workflows, and data exposure risk.
These sessions are designed to help teams understand:
• how AI tools interact with business data
• where document handling creates exposure
• what controls or process changes make sense
• whether local-first tools are needed
Sometimes, yes.
We build custom tools when there is a clear business case and a genuine need for local-first, private, or on-premise workflows.
We are not a general-purpose software agency. Our custom work stays close to our core focus: sensitive documents, AI governance, controlled data handling, and practical workflow tooling.
Not in the broad sense.
Berrysbay focuses specifically on sensitive data exposure, document handling, and AI governance. That includes the practical risks created when teams share files, use AI tools, or move information across boundaries without enough visibility or control.
Our niche is narrower and more operational than general cybersecurity.
No one can guarantee absolute security.
What we do is help reduce exposure by design through better workflows, clearer boundaries, practical governance, and local-first tooling where appropriate.
We take a realistic approach: reduce avoidable risk, improve visibility, and support better decisions around sensitive data.
Berrysbay is based in Sydney, Australia.
We work with organisations across Australia and support teams that need practical, privacy-conscious approaches to document handling and AI workflows.
