Orama Zetta · architecture
Inside the engine: an adaptive database
Orama Zetta is an adaptive database: one engine that is the data store, the AI compute, and the orchestrator at once. It runs the work where the data lives instead of moving data to the work, and manages storage cost automatically, so deployed intelligence stays fast and economical at enterprise scale.
01 · Spine & substrate
One engine — both control plane and substrate.
As the spine, Orama Zetta manages the platform's own state — what is deployed and how it is running — so there is no separate database to operate alongside it. As the substrate, it is where your data and the compute live together: search served and workflows run where the data already is.
02 · Why it's fast
The work comes to the data.
Compute next to the data
Rather than pulling data out to a warehouse, processing it, and pushing it back, the work runs on the node where the data sits. Generated and hand-written logic executes next to the bytes, for lower latency and no warehouse round trip.
Storage that manages its own cost
Frequently used data stays on fast storage and colder data moves to cheaper storage automatically, so repeated questions stop carrying warehouse-scale cost every time they are asked.
A distributed cluster
Nodes form a replicated, self-healing, distributed cluster — a laptop, a server, or a cloud instance are the same kind of node. Adding capacity is joining a node; the topology spans from a single machine to a private cloud.
Native compute spans CPUs, every major GPU, and ML ASICs, across operating systems and architectures — from a laptop to a data center, the same kind of node.
One cluster, every vendor: see deployment →03 · Learning, not inference
If you're not training on your data, you're not fully using AI.
Prompting a general-purpose model only borrows what that model already knew; it never gets better at your business, because it never learned from your data. Orama Zetta does the actual work of learning — it trains the models and pipelines your problem needs on your own data. Real solutions are rarely a single model: several often work together as an ensemble, each with measured accuracy and explained drivers. And learning compounds: the more of your data flows through it, the further it pulls ahead of a system that only retrieves and prompts.
Retrieves & prompts
Plateaus at what the base model already knew. It never sharpens on your business.
Learns your business
Trained on your own signals, with measured accuracy and explained drivers. It sharpens as it sees more.
04 · Personalized intelligence
It knows you and your data.
Training on your data is the hard part — it has always needed a scarce expert in the loop, and it is where most AI projects quietly stall. Orama Zetta closes that gap with automation: it studies you and your data, proposes what is worth building, and trains the agent to do it — so you don't have to already know the answer.
Auto-suggest
You don't have to know what to do with your data. Orama Zetta studies it — and how you work — and hands back ranked, high-value use cases, ready to build.
Automated training
It trains an agent on your data automatically — the 'trained on your data' hard part done by the platform rather than by hand. The agent arrives already fluent in your systems.
Personalized interface
Reach Orama Zetta over a standard agent interface, and it adapts to you. The same endpoint that serves your agents shapes its tools and responses to your context — every surface personalized, not one-size-fits-all.
05 · The name
Zetta: a zettabyte is one billion terabytes.
The name is a statement about the ceiling, not your data. Scale runs one way — going bigger is the hard direction, and going smaller is free. An architecture built for the extreme — data where it lives, work next to it, storage managed for cost — is exactly the architecture that stays fast and economical at the scale you actually run. Solve the largest data problems, and the everyday ones come for free.
Talk to sales
Bring us the problem
Tell us what you want your data to do and where it has to run. We will scope the deployment with you on a call.