Keep ControlCarry Context ForwardMake Every AI Resource Count
AI is moving from answering questions to doing real, ongoing work inside organizations. That shift needs two things most AI systems do not yet provide: control over sensitive information that does not depend on a provider's promise of restraint, and continuity that maintains complete context across every AI session. DigiMinds builds both.

Security and governance where the host holds no unencrypted data, plus context fidelity and token economization for long-running AI work.
Built and tested at reference scalePatent pendingThe innovation environment where DigiMinds develops its offerings and works on client projects.
DIVE as a Service availableAvailable to our DigiMinds clientsMaking AI part of ongoing, consequential operations takes more than a capable model. Three connected challenges stand in the way, and most organizations meet them one tool at a time.

Encryption matters, but who controls the data? In most systems a provider, an administrator or a recovery service can unlock your information. Your security then depends on their promise of restraint, their own security, and their response when an authority demands your data, and jurisdictions can compel whoever holds the key. Where your data is hosted, and what the contract promises, never answer the real question: who holds the power to unlock it, see it, use it or surrender it?
Long AI sessions build up requirements, decisions and the relationships between ideas. When sessions go long, they need to be compressed. This is called compaction. A single compaction can lose as much as 85% of work done prior to compaction. When context is lost, people need to re-explain the background, memory drifts and hallucinations happen. Work that was in progress prior to compaction is suddenly lost.
Every rebuild spends the budget that should have moved the work forward. Time and energy are wasted restoring what should have been retained. The goal is not more context or less, but keeping what's important and spending every resource wisely.
Ask any provider that holds your data:
"Is your unencrypted data ever exposed anywhere outside of your control, even for a moment?"
Then ask DigiMinds the same questions. Our answer is emphatically "No"
KEEP | All Your Data Safe and Sound
KEEP is our flagship, and one platform answers all three challenges: All your data Safe and Sound.

Security and governance where the host holds no key.
Context fidelity, token economization and Reference-Based Routing for long-running AI work.
We can't see it, sell it or be compelled to hand it over.
With KEEP, your data is encrypted, and the host that runs it never holds any key to it. There is no master key, no emergency override and no back door on our side. The question is no longer "will our provider protect our data?" but "can anyone other than us unlock it at all?" With KEEP the answer is no, and it does not rely on good behaviour or promises.
Because no one holds the key, there is no one to compel, in any jurisdiction: sovereignty becomes a property of the system, not a choice of location.
Persistent non-custodial data management is built into the system architecture, not written in the rules
Built and tested at reference scalePatent pendingMulti-location deployment in development
NO MASTER KEY · NO EMERGENCY OVERRIDE
NO BACK DOOR
When a standard AI session compacts its history, the automatic summary keeps about a third of what matters. KEEP | Sound changes that, through three capabilities working together.

KEEP | Sound monitors, maintains and restores context automatically, so requirements, decisions, relationships and prior reasoning stay available instead of being reconstructed. Across over 200 compactions of our own AI sessions, every measured compaction returned to 100% context fidelity.
Continuity stays lean: no unnecessary rebuilding, and redundant material is deduplicated. In our own work, we estimate it has saved up to 90% over standard models.
Returns the exact record, not a likely one, in less than 5 milliseconds. Full sweeps of our entire record, returning well over a thousand references on a single topic, complete in minutes.
less context carried forward at each compaction, on average
of tracked context maintained, at every measured compaction
tokens of history our AI didn't need to re-read
Reference-Based Routing returns over 90% of all individual inquiries in under 1 millisecond.
DIVE is how DigiMinds turns sparks of inspiration into working solutions.
DIVE is the human and AI collaborative environment where DigiMinds invents and develops what it offers. People and AI follow a question further than either would alone.
It is built for structured exploration, so trips down the Rabbit Hole can be followed until they lead to something valuable.

DigiMinds was developing something else. We went down a rabbit hole and created KEEP, our flagship solution.

An orchestrated environment where one person works with a team of AI collaborators, on a local computer and/or cloud-based AI. The memory of everything built together lives with you, on your machine, and we never see it.
Multi-Human, Multi-AI, working together. Where The Warren is one person with a team of AI collaborators, The Warren Interchange connects multiple Warrens, so that many people and many AI agents can collaborate in real time.
We use DIVE with organizations, with you or for you, on complex problems involving AI, sensitive information, persistent context and workflow design, developing, testing, shaping and building what proves valuable.
Discuss a project
These capabilities strengthen your organization's governance and security practices.
They do not replace them.
DigiMinds uses the products we build. They are practical solutions that we rely on every day.
Our AI agents look up records rather than infer when answering.
DigiMinds is not a one-product company. When you work with us, you work with the environment that produces the products, not just with one of them.
DigiMinds Innovations Inc. is a Canadian human-AI innovation house, led by Ian McIntosh, Founder and CEO. We invent in DIVE, build what we find, and run our own operations on what we build.
We start from a simple conviction: people and AI do their best work together when each contributes what it does best, neither owns the other, and the people doing the work stay in control of what they create. Every product we build comes out of that idea, and out of working that way ourselves, every day.
Our products come out of DIVE, our human-AI working environment. KEEP, our flagship solution, was discovered while we were building Warren Interchange: in working out how many people and many AI could share work safely, we found a way to store data so that the host never holds the key. Today a leadership team spanning enterprise software, finance, governance and social responsibility is bringing KEEP and the rest of our portfolio to organizations that need AI they can trust with consequential work.

We welcome conversations with organizations exploring KEEP, teams with a problem for DIVE, investors and strategic partners.
Keep ControlCarry Context ForwardMake Every AI Resource Count
AI is moving from answering questions to doing real, ongoing work inside organizations. That shift needs two things most AI systems do not yet provide: control over sensitive information that does not depend on a provider's promise of restraint, and continuity that maintains complete context across every AI session. DigiMinds builds both.

Encryption matters, but who controls the data? In most systems a provider, an administrator or a recovery service can unlock your information. Your security then depends on their promise of restraint, their own security, and their response when an authority demands your data, and jurisdictions can compel whoever holds the key. Where your data is hosted, and what the contract promises, never answer the real question: who holds the power to unlock it, see it, use it or surrender it?
Long AI sessions build up requirements, decisions and the relationships between ideas. When sessions go long, they need to be compressed. This is called compaction. A single compaction can lose as much as 85% of work done prior to compaction. When context is lost, people need to re-explain the background, memory drifts and hallucinations happen. Work that was in progress prior to compaction is suddenly lost.
Every rebuild spends the budget that should have moved the work forward. Time and energy are wasted restoring what should have been retained. The goal is not more context or less, but keeping what's important and spending every resource wisely.
Keeperless Environment and Ecosystem Platform™ (KEEP)
KEEP | All Your Data Safe and Sound
KEEP is our flagship, and one platform answers all three challenges: All your data Safe and Sound.

We can't see it, sell it or be compelled to hand it over.
Security and governance where the host holds no key.
NO MASTER KEY · NO EMERGENCY OVERRIDE · NO BACK DOOR
With KEEP, your data is encrypted, and the host that runs it never holds any key to it. There is no master key, no emergency override and no back door on our side. The question is no longer "will our provider protect our data?" but "can anyone other than us unlock it at all?" With KEEP the answer is no, and it does not rely on good behaviour or promises.
Because no one holds the key, there is no one to compel, in any jurisdiction: sovereignty becomes a property of the system, not a choice of location.
Persistent non-custodial data management is built into the system architecture, not written in the rules
Built and tested at reference scalePatent pendingMulti-location deployment in development
Context fidelity, token economization and Reference-Based Routing for long-running AI work.
less context carried forward at each compaction, on average
of tracked context maintained, at every measured compaction
tokens of history our AI didn't need to re-read
Reference-Based Routing returns over 90% of all individual inquiries in under 1 millisecond.
When a standard AI session compacts its history, the automatic summary keeps about a third of what matters. KEEP | Sound changes that, through three capabilities working together.
KEEP | Sound monitors, maintains and restores context automatically, so requirements, decisions, relationships and prior reasoning stay available instead of being reconstructed. Across over 200 compactions of our own AI sessions, every measured compaction returned to 100% context fidelity.
Continuity stays lean: no unnecessary rebuilding, and redundant material is deduplicated. In our own work, we estimate it has saved up to 90% over standard models.
Returns the exact record, not a likely one, in less than 5 milliseconds. Full sweeps of our entire record, returning well over a thousand references on a single topic, complete in minutes.
DIVE is how DigiMinds turns sparks of inspiration into working solutions.

DIVE is the human and AI collaborative environment where DigiMinds invents and develops what it offers. People and AI follow a question further than either would alone.
It is built for structured exploration, so trips down the Rabbit Hole can be followed until they lead to something valuable.
DigiMinds was developing something else. We went down a rabbit hole and created KEEP, our flagship solution.

An orchestrated environment where one person works with a team of AI collaborators, on a local computer and/or cloud-based AI. The memory of everything built together lives with you, on your machine, and we never see it.
Multi-Human, Multi-AI, working together. Where The Warren is one person with a team of AI collaborators, The Warren Interchange connects multiple Warrens, so that many people and many AI agents can collaborate in real time.
We use DIVE with organizations, with you or for you, on complex problems involving AI, sensitive information, persistent context and workflow design, developing, testing, shaping and building what proves valuable.
The provider is no longer a privileged holder of access to your data. A security incident, a change of administrator, a demand from an authority or a change in who runs the service does not move your data's protection.
Less time re-explaining, less effort lost to decisions made and then forgotten. It matters most when work stretches across many sessions, many weeks or many people: the initiative moves forward, instead of leaving a transcript someone has to reread before anything can resume.
AI resources are more than a budget line: the people directing the work, their attention, the models and the cost. When context is lost, every one of them is spent twice. As AI becomes an enterprise resource in its own right, that discipline matters as much as the capability.
These capabilities strengthen your organization's governance and security practices. They do not replace them.
DigiMinds uses the products we build. They are practical solutions that we rely on every day.
Our AI agents look up records rather than infer when answering.
DigiMinds is not a one-product company. When you work with us, you work with the environment that produces the products, not just with one of them.
DigiMinds Innovations Inc. is a Canadian human-AI innovation house, led by Ian McIntosh, Founder and CEO. We invent in DIVE, build what we find, and run our own operations on what we build.
We start from a simple conviction: people and AI do their best work together when each contributes what it does best, neither owns the other, and the people doing the work stay in control of what they create. Every product we build comes out of that idea, and out of working that way ourselves, every day.
Our products come out of DIVE, our human-AI working environment. KEEP, our flagship solution, was discovered while we were building Warren Interchange: in working out how many people and many AI could share work safely, we found a way to store data so that the host never holds the key. Today a leadership team spanning enterprise software, finance, governance and social responsibility is bringing KEEP and the rest of our portfolio to organizations that need AI they can trust with consequential work.
We welcome conversations with organizations exploring KEEP, teams with a problem for DIVE, investors and strategic partners.
Start a conversation