The metrics system for the age of AI agents.

Accurate numbers, the moment you ask.

Every metric in your company is calculated by one set of rules. People and AI agents get their numbers from the same place. The same question always gets the same answer.

Today every team counts its own way. That's how you end up with 3 to 5 versions of one number. With Dictum, every system gets the same answer:

Data warehouse
  • orders
  • payments
  • users
  • subscriptions
  • user_id
  • created_at
  • amount
  • status

Raw tables with no shared meaning.

Semantic layer
Dictum

Every metric defined once, in reviewed code.

One set of approved rules.

Unified metrics
  • Revenue
  • New Users
  • Conversion
  • Churn

The same number, whoever asks.

Everywhere you ask
  • Dashboards
  • BI and reports
  • AI agent
  • Metric monitoring
  • Reporting and API

Humans and agents, one answer.

Simplified diagram · illustrative

AI analytics without firm rules is fast, cheap, and wrong.

Dictum doesn't give the agent hints. It calculates the metric itself, using your approved rules, and hands back the finished result. The same question gets the same answer.

When a model works out a figure on its own, it does it a little differently each time, and the answer drifts from one query to the next. Even if you describe your metrics in prose, nothing guarantees the model will follow the description.

Your company has plenty of data, but no agreed version of the truth.

Picture a board meeting. Someone asks: “How many new customers did we add this quarter?”

1,000 Marketing counts new email addresses at checkout
850 Finance counts new customer phone numbers
1,200 Product counts new user accounts

Half an hour goes to arguing over whose number is right, and the decision gets pushed back.

3 to 5* versions of the truth in circulation
~30%* of meeting time spent arguing about numbers
~3 hours* to get an answer from the data, so decisions rely on stale figures

* Illustrative estimates

From ticket desk to strategic partner.

Define your calculation rules once and they work everywhere, AI systems included. You get a foundation to build on, not one more report.

One source of truth

Reports, dashboards, and AI all use the same definition and the same formula. That ends the argument about whose number is right.

Reproducible and verifiable

Every figure can be reproduced and traced back to the rules that produced it, which lowers operational and compliance risk.

Respects your access rules

Set access rights once and they apply everywhere, including AI answers. People see only the data they're allowed to see.

A safe foundation for AI on your data.

We're opening access to our first companies. Write to us and we'll work out together how Dictum fits your data.