We build AI-powered systems that actually work in production.
Model training, cloud infrastructure, and automation workflows. We use XCT — our protocol where models propose and tools execute — because we learned the hard way that LLMs shouldn't run the show.
What We Do
Three things we're good at. 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
A protocol we built after too many incidents with autonomous AI in production. The idea is simple: models suggest, systems decide, tools do the work. Keeps things predictable.
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, use in production, and maintain actively.
Polaris Core
C++ bindings for llama.cpp with Python integration. Handles inference with JSON early-stop for XCT.
Polaris v2
AI chat with voice, document processing, and multi-platform support. Runs local or cloud.
Live DemoPolaris v3
Automation platform running on XCT. Used for document validation, blockchain trades, and infra orchestration.
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 a trained model, infra that doesn't fall over, or an automation pipeline that actually works — we should talk.
Get in Touch