do more with data. with confidence.
We bring right-sized privacy and data compliance together to solve difficult questions, design practical solutions for ambitious teams and put the foundations in place to move forward, with confidence.
Great ideas are built on strong data foundations.
The most valuable data and AI opportunities are often the hardest to get right — especially when sensitive data, new technology and global regulation collide.
That’s where Onyxio comes in. We work out how data can be collected, used, shared and governed — and what needs to be in place to do it well. We bring product, technology, privacy and regulation together to find privacy-first, practical ways through the complexity.
The result is data and compliance confidence: clarity on what’s possible, what matters and how to move forward.
Projects we help unlock
Our Data Confidence™ approach brings privacy, governance, security, technology and regulatory perspectives together to identify what matters, tackle gaps as they emerge and keep innovation moving.
We support high-risk, high-reward data use, including:
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Building AI-enabled products, platforms and devices around sensitive data.
We help you get the data foundations right from the outset: embedding privacy, governance and responsible AI into the product so you can innovate faster, scale confidently and launch across markets with fewer compliance surprises.
Impact: Confidence to collect and use data compliantly, satisfy customers and investors, and take the product to market.
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Designing privacy into the product, technology, business model and go-to-market from the start.
We partner with you to map and intentionally design how data is collected, used, shared and explained to customers around what the business is actually trying to achieve. From Minimum Viable Compliance (MVC) and data flows to product journeys, technology choices and go-to-market, we build proportionate privacy and compliance into the business without unnecessary friction or compliance debt.
Impact: A practical, proportionate compliance roadmap that underpins your product, technology and business plans, and evolves as you grow.
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Solving the difficult data and AI questions where there isn’t an obvious answer.
How can we make sensitive data safely available for research? Can we use this dataset to train an AI model? How do we bring legal, technical and commercial views together when the risk isn’t black and white?
We work across business, product, legal and technology to find a practical route through using contextual data risk assessments, data use decision frameworks, heatmaps and playbooks where they’re useful.
Impact: Turn difficult data questions into defensible decisions and workable solutions, unlocking valuable uses of data compliantly that might otherwise stall.
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Making complex data and AI requirements workable when you enter a new market.
We map what changes across privacy, data, AI and sector-specific regulation, from US state privacy laws and European requirements to international data transfers and local market rules. We identify the real gaps, what needs to happen before launch and what can sensibly wait.
Impact: A clear, prioritised market-readiness pack including heatmap and roadmap aligned to your product and go-to-market plans, so you know what needs to change, where and when.
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Helping you prove your data, privacy and AI governance stands up to scrutiny.
We assess where you stand, identify and close material gaps, and build the evidence you need for enterprise customer diligence, investment or a potential transaction, from independent maturity assessments and remediation plans to governance and accountability evidence packs.
Impact: Greater confidence for customers, investors and potential buyers reducing friction in diligence and helping important deals move forward.
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Making valuable data available for research, innovation and collaboration, safely and responsibly.
We design the permissions, transparency, safeguards and governance that make data partnerships work in practice — bringing together data holders, researchers, technology partners and other stakeholders around a workable model for access and use.
Impact: Trusted data partnerships that unlock research and innovation while protecting people, managing risk and preserving the value of the data.