Datakey is a software and AI strategy firm that advises on, builds and invests in high-value technologies for clients and the community. We work at the intersection of technologies that deliver value now and what's needed for tomorrow.
Four capability lanes: software, architecture, intelligent systems, and strategy. The common thread is technology that can appreciates value over time.
Apps, distributed systems, real-time platforms, and high-performance software.
More →Models, knowledge systems, distributed and on-device intelligence.
More →System design, cloud and edge infrastructure, security, and data systems.
More →Positioning and roadmaps on proprietarty and emerging technologies that leverage your unique value.
More →Some partners seek direct strategic advice. Some seek hands-on development. Others want a research partner. In practice, different engagements flow into one another — Advice to engineering; Development to Partnerships.
Paid strategic advice, AI adoption, technology positioning and roadmaping for value capture.
More →Hands-on technical work from architecture through to code delivery and production.
More →Sweat-equity and shared value pathways around technology deliverables and IP.
More →Incentivised R&D engagements that cut project risk, lower costs, and deepen deliverables.
More →Some threads become products. Some inform client strategy. Some just because it is ridiculously interesting.
How to engage with us for R&D →Our primary open bets — tehcnologies that are both high value and represent existing gaps in the market.
Solving collaboration as a primitive.
An embedable or standalone data engine for complex data types — graphs, vectors, tensors, streams, documents — that can coordinate across threads and networks. QUIC transport. Zero-copy wire format. Runs on server, device and browser.
An on-device intelligence pipeline runtime.
Execute composable pipelines (DAGs) made of intelligence primitives — vsearch, agentic reason, infer, index, train, etc. The kind of rapid and composable parallel-execution model needed for adaptive AI systems.
Built for CPU and GPU Unified Memory.
mvec is an embeddable or standalone vector database designed to utilise the full GPU headroom of your Apple Silicon device.
Jordan saw the architectural shape of our problem and then built it alongside our own dev team.
The only strategic advisor we've worked with who ships code...makes a different kind of engagement possible.
Precise, propositional, unpromotional. Datakey is the one firm we've hired twice without a second pitch.
Jordan elevates every project he touches, both technically and strategically. ... An outstanding communicator and trusted advisor who naturally earns the confidence of clients, stakeholders, and development teams alike.
We reply within two business days. If a call would be faster, book a thirty minute conversation.
