Connect company context
Point Umbratic at approved code, docs, product knowledge, and internal materials.
How teams use Umbratic.
Umbratic gives teams a private AI harness that runs against approved company context, connects to the right models for the job, and keeps people responsible for review, approval, and action.
Ask for work
Teams can ask it to explain systems, trace behavior, draft changes, summarize docs, or prepare answers.
Review before action
The AI prepares the work. People review, edit, approve, and decide what moves forward.
The deployment shape.
The architecture is designed around ownership: your machine or server boundary, your approved context, your model path, and your decision on whether private telemetry is collected.
Private harness
An app layer runs in the customer environment so people can use AI against local tools, code, docs, and workflows without moving work into a public workspace.
Server setup
We help configure the model connection on your own servers, recommend the hardware needed, or build the physical rack with your team when the environment calls for it.
Optional telemetry
If enabled, usage signals stay on your server and can support later fine-tuning around approved habits, patterns, and team-specific needs.
What agentic means here.
Umbratic can inspect context, plan steps, draft useful work, and organize findings. It does not replace approval. It prepares work for people to review.
Reads context
Inspects approved code, docs, and internal knowledge.
Performs steps
Traces behavior, drafts code, writes summaries, and prepares reviews.
Waits for judgment
People approve, edit, reject, or ship the final result.