Artificial
Intelligence
Custom agents, speech & language models, retrieval systems, and data pipelines — designed to honour the communities whose knowledge they carry.
MonkeySphere is an Indigenous-led technology studio designing AI, web, and digital systems that honour OCAP® principles and the communities they serve.
We approach every project as a relationship, not a transaction. Indigenous data, knowledge, language, and cultural expressions belong to the Nations they come from — our work begins with that truth, and is governed by OCAP® and OCAS principles.
First Nations and Métis communities hold ownership of their data, language, and cultural information — collectively and individually.
Communities are entitled to control how their information is collected, used, and disclosed at every stage of the work.
Communities must have access to their data — and the ability to decide who else may, and on what terms.
Stewardship and physical possession of data remain with the First Nation community — protected, governed, and protected again.
For Métis communities, stewardship reflects a relational responsibility to data — not just physical custody, but ongoing accountability to the people and knowledge it represents.
Our flagship research direction applies modern AI — speech models, retrieval, agentic systems — to the revitalization of Indigenous languages. Done thoughtfully, it can shift power back to the Nations who hold the words.
“AI and Indigenous identity should not only coexist — they should strengthen one another.”— Darrell Fraser, CVO · Métis
We're small on purpose. Each engagement gets our full attention — no handoffs, no junior pods, no chargeback theatre. The same people who scope the work are the ones who ship it.
Custom agents, speech & language models, retrieval systems, and data pipelines — designed to honour the communities whose knowledge they carry.
Sites that load fast, read clearly, and feel like the people behind them. Custom builds — no CMS lock-in, no template dependency, no surprises.
Structured content, AI discoverability, plain-language communication — built for communities historically invisible to algorithms.
We meet, we listen, we ask permission. Before any technical scoping, we understand the community, the protocols, and what's actually at stake.
Every project plan is shaped by data governance, not the other way around. Where the data lives, who can touch it, and how it leaves — decided up front.
Working software in weeks, not slide decks in months. We ship small, demo often, and adjust openly.
Hand-off includes documentation, training, and a continuing relationship. Selective portfolios mean we have time to actually stay.
We're a senior-only team. The people you meet in the first call are the ones writing the code, leading the strategy, and showing up to the closing.
25 years across database management, satellite networking, software, and GIS. Now applying that depth to AI for the revitalization of Indigenous languages.
15+ years in web and data, now focused on AI through the lens of OCAP® and his Métis heritage. Works at the intersection of culture, language, and technology.
Former Chief of Klahoose First Nation and former board member of BCAFN. Brings political leadership and community roots to every engagement.
In the spirit of respect and accountability, we acknowledge that Indigenous data, knowledge, language, and cultural expressions belong to the First Nations, Métis, and Inuit peoples from whom they originate.
We recognize that this data is governed by the principles of OCAP® — Ownership, Control, Access, and Possession — for First Nations communities, and OCAS — Ownership, Control, Access, and Stewardship — for Métis communities, and by the laws, protocols, and responsibilities of each Nation and community.
We affirm that Indigenous Peoples hold the authority to decide how their data is collected, used, shared, stored, and protected, now and into the future. We commit to working in ways that respect collective rights, intergenerational responsibilities, and community-defined governance — and to ensuring that our actions reflect listening, learning, and accountability rather than extraction or assumption.
Tell us about the project, the community, and what you'd like to change. If we're not the right fit, we'll say so — and point you to someone who is.