Enterprise AI, end to end
Marduk takes an idea from a conversation to working, governed software. Independent agents design, build, test, attack and verify every slice, and nothing ships until the evidence says it is real.
From idea to production
A human approves each phase gate. Between gates, Marduk's agents do the work and leave evidence behind.
Discovery Agent
Give Marduk an idea and it returns the system architecture, a technology-stack evaluation, a risk register and a compliance review, then attacks its own output against established standards before a single brief is written.
Delivery Agents
The Developer builds. A Tester who sees only the spec, never the Developer's reasoning, checks it. A Director on a different model reads the raw gate output, not the summary. When the claim and reality disagree, reality wins.
“The closure summary is the Developer's claim; the gate stdout is reality. They agree. Advance.”
Hardening Agents
Parallel adversarial auditors sweep concurrency, persistence, security and contract lenses. Every finding is fixed, then re-audited, pass after pass, until a pass comes back clean. Convergence is the exit condition, not a deadline.
Commercial Agent
At every phase the Commercial Agent infers price, timeline and oversight from the artifacts that exist. The band starts wide and narrows as discovery, design and briefs land, ending in a quote you can defend line by line.
Institutional memory
Every lesson, decision, contract and design choice is captured as it happens and consulted before the next slice starts, so the platform stops repeating mistakes and stops re-asking questions it has already answered.
Governed autonomy
Every open choice is resolved against the project's own memory first. People are asked only when there is no precedent and the answer actually changes the product.
A prior decision, rule or contract already answers it. The choice is baked in and cited, with no human interruption.
A sensible default is applied and logged where anyone can review it, provided it never trades long-run quality for short-run cost.
Only now does a person decide, with the options, trade-offs and a recommendation already prepared.
Governance
Marduk is built so an AI cannot ship a stub, fake its evidence, lose your data on restart or hide a decision from the audit log.
Every slice produces real, working files end to end. Imports must resolve and git is the proof.
Reviewers receive the verbatim gate output, not the agent's summary of it.
Decisions and lessons are minted into a governance store with Ed25519 receipts.
An agent that cannot produce real evidence says so, with a concrete reason, instead of inventing it.
State is verified by tearing the app down and reading it back from disk.
Every user-facing action ships with a tested route and an audit row in storage.
Every model call is tracked, so spend is governed alongside quality.
A person approves before each phase begins. Agents never promote their own work.
The proof
“If Marduk can build itself, Marduk can build anything.”
Marduk is developed through its own pipeline. Its engine, governance store and review portals are briefed, hardened, implemented and audited by the same agents and gates described on this page, with every decision on the record.
Marduk is in preview. Tell us what you want built and we will walk you through it, from discovery report to shipped slice.