Ultra-high-performance data systems
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The same queries, finished sooner. Nothing chases pointers around memory, so the work that used to dominate a query isn't slow — it isn't there.
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A single, lightweight engine that runs anywhere and embeds directly inside your product. No heavy stack to babysit.
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Efficiency is savings. The same work on a fraction of the memory means smaller instances and a lighter monthly bill.
Start where your problem is
Graph power, without the graph bill.
Graph databases are powerful and expensive to run: the classic ones keep the whole graph in memory to stay fast, so you pay in RAM, clusters, and ops. Tetra keeps the power — your Cypher, your queries — and drops the bill. Here's where to look next.
Use Cases
GraphRAG, fraud, edge, security, and the teams whose graph is the product — start where your problem is.
Explore Use Cases →How it worksArchitecture
Collapsive architecture: why whole layers of the stack — index, cache, cluster — stop existing.
Explore Architecture →The proofTechnology
100% Cypher, a fraction of the machine — and the benchmarks behind that claim.
Explore Technology →Ship it insideOn-prem
One small binary embedded in your product: edge, air-gapped, or your customer’s private cloud.
Explore On-prem →Run by usSaaS
The managed graph layer that sits on top of the stack you already run. Zero ops.
Explore SaaS →Stay close to the build
Tell us who you are.
We're opening Tetra up slowly, and we'd like to know who's out there. Tell us what you're working on and we'll keep you in the loop as we get closer to launch. If it turns out we're a good fit for each other, there may be more to talk about.
Join the waitlist
Tell us who you are and what you're working on. It takes about a minute, and a real person reads it.