We build tools for our needs. Now you can use them in production.
Everything we build, we run in our own production first. If it can't survive our stack, it doesn't reach yours.
The Golden Hen Suite.
Three self-custody engines for one job: managing wealth on-chain. Built on XCT, run in our own production first — and honest enough to reconcile every run against the blockchain, cent for cent.
Harvest
Harvests volatility into SOL. A market-neutral accumulator that turns the market's chop into a growing stack — no bet on direction.
See how it worksTreasury
Preserves wealth. Sweeps the surplus off the table and manages the crystallized stack like a treasurer — protecting on the way down, keeping the gain.
Pirate
Hunts asymmetric opportunity. Risk assumed, stated plainly — the engine for the ones who want the high seas, not the harbor.
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