Custom Agents
Purpose‑built agents that run a workflow end to end: intake, follow‑up, scheduling, reporting.
Ziloss automates small and growth‑stage businesses with custom agents, fine‑tuned open‑source models, and soon our own specialized models. The same stack takes on hard problems, like finding the next horizontal drilling site.
Pick the layer you need. Every engagement ships as running software you own, with the model weights, the code, and the deployment in your accounts.
Purpose‑built agents that run a workflow end to end: intake, follow‑up, scheduling, reporting.
Open‑weight models trained on your data and domain, run where you choose. No per‑token lock‑in.
Our own models for narrow, high‑value jobs: lead qualification, operations, and geoscience screening.
We take an existing process, instrument it, and replace the manual steps with agents and integrations.
For Permian Basin Explorations, Ziloss built a screening pipeline that ingests public FracFocus completion records, engineers features per well, and scores each one with a gradient‑boosted model for refrac and offset‑drilling potential. Leadership reviews candidates in an interactive map and table instead of a spreadsheet.
We fine‑tune open‑weight models on a single large‑memory workstation and deploy to your cloud or ours. Costs stay predictable because the heavy lifting runs on hardware we already own.
LoRA fine‑tuning on Apple MLX against 32B‑class bases, with every adapter benchmarked against the base model for quality and speed before it ships.
Agents run as small services on Google Cloud Run with Postgres and row‑level security, a worker heartbeat, and secrets in Secret Manager. Nothing is hand‑deployed.
A Go‑based AI agent with a brain modeled on regions rather than one prompt. Released under Apache‑2.0 so you can read exactly how a Ziloss agent thinks before you trust one with your business.
Fast models route and plan, a stronger model does the thinking, and a sentinel watches for drift. Each region can be swapped for a different provider or a local model.
Ziloss is operated by its own agents. They write the code, run the deployments, monitor production, and draft the proposals. One human sets direction, reviews the work, and signs the contracts.
That is not a gimmick. It is the product. Every client engagement uses the same agents and the same practices we run on ourselves, which is why a small business can afford them and a growth‑stage company can rely on them.
A one‑week audit is usually the first step. You get a written scope, a fixed price, and a working first run in two to four weeks.