Unlock AI for everyone. No rule slips away.
DKOD lets anyone in your company build the dashboards, admin tools and automations they need with AI, on their own computer. Every app is built inside the DKOD harness, under your governance and your policies.
Works with Claude Code, Codex, Cursor, Copilot and your editor over MCP.
See it all in one minute.
Product managers ship the dashboard today.
Ask for the view you need on your own computer, next to your company's code. Before anyone else sees it, DKOD checks it against every one of your policies.
Ops leads build the admin tool they wanted last quarter.
Refund queues, approval screens, customer lookups. Your rules decide who can open it and who can approve, from the first click.
Everyone else automates the busywork.
Weekly reports, reminders, data pulls and alerts. Build the workflow once and let it run. Every workflow runs under your policies, and every run is logged.
Developers keep their editor. DKOD plugs in over MCP.
Keep Claude Code, Codex, Cursor or Copilot. DKOD brings your rules, templates and deploys to the agent, so every change goes through the same harness.
Your CISO writes the rules once. Every app follows them.
Sign-in, secrets, approved models, reviews. DKOD turns your policy into code in your own Git and applies it to every builder and every app.
See everything your org built with AI.
DKOD scans every Mac, Windows and Linux laptop in your company. You get one clear report: who built what, how safe it is, what is worth building, what is a risk, and what nobody uses.
Many Mac, Windows and Linux laptops are scanned one after another and apps pop up above them. Then an org report appears: 1,240 laptops, 318 AI-built apps and 42 builders. 96 apps are worth building, 58 are a risk and 164 are never used. A chart shows how many apps each team built, and the three best apps to rebuild first.
One click. From a laptop to your cloud.
Press dkod it. The app drives into the DKOD harness, meets every one of your policies on the way, and arrives as a real company app.
The app starts on a laptop with a live key in its code, no login and a personal host. It drives into the DKOD harness, where your policies apply. Step 1, DKOD reads your policies from your Git. Step 2, it rebuilds the app from your approved dashboard template. Step 3, secrets move out of the code. Step 4, lint, types, tests and a security scan run. Step 5, your company sign-in is added. Step 6, a security lead approves. Step 7, the app goes live in your AWS account, monitored, with backups.
Every app DKOD builds, watched and fixed.
When an app breaks, DKOD finds the cause and opens a hotfix PR. Your policy decides who merges it: DKOD, or the owner of a critical app. Then it tells the owner and everyone who relies on the app.
A live status board of six apps. At 10:21 support chat and onboarding bot go down. DKOD reads the logs and finds the cause: an update at 10:14 broke sign-in. It opens a hotfix pull request for each app, and the tests, the security scan and your policies pass. Your policy says critical apps wait for their owner: DKOD merges the onboarding bot fix itself, and the support chat fix waits until Dana, its owner, approves it. By 10:27 both apps are back up, and DKOD tells Dana, the support team and the people team.
AI spend, live. Your caps. Your models.
Watch what every app spends on AI as it happens. You decide each app's monthly cap and which models it may use. DKOD enforces both, for every app and every builder.
A live AI cost board. The monthly total ticks up in real time. Each app shows its model, its spend and its cap. You set a monthly cap of 6,000 dollars and turn on Sonnet, Haiku and Opus. Pipeline view hits its cap and pauses. Invoice bot asks for another model and is blocked.
Unlock AI for everyone. No rule slips away.
Anyone in your company can build the apps they need with AI. Every app is built inside the DKOD harness, under your policies.
Works with Claude Code, Codex, Cursor, Copilot and your editor over MCP.
See it all in one minute.
Everyone builds. DKOD checks every app.
Product managers ship the dashboard today.
Before anyone else sees it, DKOD checks it against every one of your policies.
Ops leads build the admin tool they wanted last quarter.
Your rules decide who can open it and who can approve.
Everyone else automates the busywork.
Every workflow runs under your policies, and every run is logged.
Developers keep their editor.
DKOD brings your rules, templates and deploys to the agent over MCP.
Your CISO writes the rules once. Every app follows them.
DKOD turns your policy into code in your own Git.
See everything your org built with AI.
DKOD scans every Mac, Windows and Linux laptop in your company. You get one clear report: who built what, how safe it is, and what is worth building.
Laptops are scanned one after another and apps pop up above them. Then an org report appears: 1,240 laptops, 318 AI-built apps and 42 builders. 96 apps are worth building, 58 are a risk and 164 are never used.
One click. From a laptop to your cloud.
Press dkod it. The app drives into the DKOD harness, meets every one of your policies on the way, and arrives as a real company app.
The app starts on a laptop with a live key in its code, no login and a personal host. It drives into the DKOD harness, where your policies apply. It passes seven steps and goes live in your AWS account, monitored, with backups.
Every app DKOD builds, watched and fixed.
When an app breaks, DKOD finds the cause and opens a hotfix PR. Your policy decides who merges it. Then everyone who relies on the app is told.
At 10:21 support chat and onboarding bot go down. DKOD finds the cause: an update at 10:14 broke sign-in. It opens a hotfix pull request for each app, and the tests, the security scan and your policies pass. Critical apps wait for their owner: DKOD merges the onboarding bot fix itself, and the support chat fix waits until Dana approves it. Both apps are back up, and DKOD tells Dana, the support team and the people team.
AI spend, live. Your caps. Your models.
Watch what every app spends on AI as it happens. DKOD enforces your caps and your models, for every app and every builder.
A live AI cost board. The monthly total ticks up. Each app shows its model, its spend and its cap. Pipeline view hits its cap and pauses. Invoice bot asks for a model you did not allow and is blocked.
Every app runs in your own AWS account. DKOD sets up CI/CD and Kubernetes for you.
Your rules live in a Git repo you own. Every change is a pull request.
Product managers, ops, developers: every builder works inside the same DKOD harness.
Unlock your org in two minutes.
Let everyone build. DKOD makes sure every app follows your governance and your policies, so no rule slips away.