Three layers. One engine underneath.
Alphanetix started as the integration layer between systems. The same compiled engine now serves your apps and runs your AI agents.
Built for work that has to be right.
Five things the engine does on every request, whichever way the work began.
Compiled, not interpreted.
A deterministic generator turns every workflow into Java on Eclipse Vert.x. The same workflow always produces the same code, and no language model writes production code.
- About 7,600 requests per second per CPU core, measured as 122,000 on one 16-core Intel i9-12900K.
- Related workflows ship together as one microservice you can inspect, version and keep.
Checked by the server, not promised by a prompt.
Every tool input is validated on the real value before your system is called. The customer confirms before anything changes, and the model cannot release an action.
- 23 built-in validation rules plus custom patterns with a time limit.
- Failed values stay hidden. The agent learns the field and the rule, never the value.
Personal data never reaches the model.
Sixteen built-in filters swap identifiers for placeholders before the model, the history or the logs see them. Card numbers are removed, typed or spoken.
- Up to 25 custom filters per agent, tested in a box before you save.
- Masked history. Revealing a value needs permission and is audited first.
Your auditor can check the math.
An append-only log in its own database, chained with SHA-256. Edits and deletes are refused, even for the owner, and one click verifies the chain.
- Message content is never written. Tool inputs are kept as fingerprints.
- Prove a value against its fingerprint without exposing it.
Runs where your data has to live.
Every component can run on your own servers, in your own cloud, or both. Local models, local embeddings and an on-premises voice engine keep everything inside.
- Mix per agent: sensitive agents fully local, cloud models for the rest.
- Licensing checked offline from an Ed25519-signed file. No call home.
Built for businesses that answer to regulators.
Financial operations, banking and US healthcare billing, where data residency and audit matter as much as the AI.
Banking, lending and financial operations
Quotes, applications, status look-ups and reconciliations, with IBANs checked by the server and every step on record.
US medical billing and administration
Claims and balance questions on chat and voice, with health identifiers filtered and card numbers kept out.
Buy one studio, or both.
Same screens, same connectors, same controls. Your licence decides which features appear.
Connect systems. Ship APIs.
Visual workflows compiled to Java microservices, deployed to machines you register, versioned like code.
Agents that answer, act and ask first.
Chat and voice agents with your knowledge, approved tools, server-side checks and customer confirmation.
Both, under one licence.
Only the Suite turns any deployed workflow into a tool an agent can run, so one confirmed request runs a whole process.
Bring one process. See it running.
A system to connect, an API your app needs, or a question your customers ask. We will show it running on infrastructure like yours.