We build tools for our needs. Now you can use them in production.
That's why we created XCT — an open protocol where models propose and deterministic tools execute — because we got tired of LLMs breaking things in production. Everything we ship, we use ourselves first.
What We Do
Three things we do well. Not everything — just these.
Cloud & Automation
IaC, CI/CD, Kubernetes, observability. We set up and maintain the infra so your team can focus on the product.
Learn moreModel Training
LoRA and full fine-tuning of open-source models for your domain. We handle data, training, eval, and deployment.
Learn moreLLM Workflows
Pipelines for document validation, data enrichment, and process automation using LLMs with guardrails.
Learn moreXCT — Execution Control Transfer
Born from real incidents with autonomous AI in production. The rule is simple: the model proposes, the system validates, deterministic tools execute. No exceptions.
Model Proposes
The model looks at the context and suggests one action. Just one. No multi-step plans, no autonomous chains.
System Validates
The system checks the proposal. It can approve, reject, or ask for something else. The model doesn't get to override.
Tools Execute
Deterministic tools do the actual work. If something fails, it comes back as data — not as a crash.
The Polaris Ecosystem
Tools we built for ourselves and now maintain in production.
Polaris Core
C++ bindings for llama.cpp with Python integration. Handles inference with JSON early-stop for XCT.
Polaris v2
Institutional chatbot with RAG, voice, and multi-platform support. For companies that need a conversational assistant with guardrails.
Live DemoPolaris v3
Deterministic agent powered by XCT, customized to each use case. For critical automation — infra, finance, compliance — where the model proposes and the system decides.
XCT-Qwen3-4B
LoRA-trained model for XCT execution. Not a chatbot — it proposes actions within protocol constraints.
HuggingFaceGot a problem that fits?
If you need control over LLMs in production — not demos, not proofs of concept — we should talk.
Get in Touch