Deterministic control guarantees the result. No surprises in production.
DRIM is the control room for AI-driven engineering. It runs over Claude Code today and is built for GitHub Copilot, Codex, Cursor, Factory droids and your own agents. The same rules on every run. Every verdict on record. Your stack stays where it is.
Taking 3 design partners before the end of the year.
Lands on a new project or the one you already run. Starts working on day one. Large codebases stay as they are, no rewrite. From the first run, every step follows strict rules.
One universal layer over any coding agent. It amplifies what the agent can do and brings its output quality under control.
Orchestrates the agents without an LLM: deterministic, repeatable, and it burns no tokens. Rules. Verdicts. Record.
Not a draft to review, patch and package. A complete product, built to the rules and standards you set. No surprises.
One real workflow where your agents already work. From one week. From $10,000. Criteria fixed before day one. Your data stays yours.
Fix the criteria, the baseline and the scope before anything changes.
Your agents keep doing the work. DRIM controls it and keeps the record.
Cost, human minutes, flow and quality against the criteria.
A task is done when it is verified. Not when the agent says so.
We take 3 design partners before the end of the year. You work directly with the founders.
Claim a slotWhoever writes the code, the company still answers for delivery, quality, risk and cost. Agents change the executor. They do not change who signs off. Four questions your agents cannot answer about themselves:
DRIM answers all four. On your data, not on impressions.
Live, on one screen: how tokens become product, what production costs, what control costs, what quality costs.
Agents stop being AI magic and become a business process you can measure and manage.
The agents keep working the way they already do. DRIM decides whether the result ships, coordinates the agents and makes them better run by run.
What AI-driven engineering costs you per accepted change: models, tools, infrastructure.
How much review, intervention and rework each accepted change still takes.
Whether work moves through the organization faster and more predictably.
Whether the result meets the criteria you set.
Criteria fixed before day one, a verdict at the end. The pilot fee is credited against your contract.
DRIM has already delivered a large production system to an external customer. Under NDA, so no names here: the architecture and the record are discussed during pilot scoping. Every product Flamerix AI builds comes off the same line, every day.
The same software is being built twice, under DRIM and with standard tooling, against the same spec and the same acceptance criteria. The results will be published here.
Chemical engineer with a long career in real production at large industrial plants. Extensive experience implementing management and control systems, including in France, Italy and Japan.
LinkedIn profile of Sandro Maglaperidze
Experienced engineer and developer, more than 15 years in big data, machine vision, robotics and AI. He has worked at large industrial plants, developing and deploying innovative technologies for production control and efficiency, and at major financial institutions.
LinkedIn profile of Nika ZaalOne workflow. A baseline. A verdict.
We take 3 design partners before the end of the year.
Architecture is discussed during pilot scoping, under NDA.