Organizational Intelligence for AI

What is Oberhahn?

Oberhahn is an organizational intelligence platform that gives you real-time visibility into how your organization uses AI across every tool: who is building with it, what works, what is safe, and what is being wasted.

It connects your coding agents, LLM providers, SDKs, and proxies, then attributes every model call to a person, team, and workflow. Also known as AI usage attribution, AI spend visibility, and AI cost tracking.

Category: Organizational Intelligence Platform for AI

What Oberhahn does

What Oberhahn does

Connect your stack once, and Oberhahn surfaces four things across your whole organization, live.

01 / Visibility

See all AI usage in real time

One unified view across every provider and source, updating live as your agents run, instead of waiting for a monthly bill.

02 / Attribution

See who is building with AI

Usage tied to people, teams, and workflows. Find which engineers built reusable workflows and how widely they have been adopted.

03 / Security

See what reaches providers

Detect credentials, keys, and sensitive data in prompts and tool calls before they leave your environment, ranked by severity and traced to a session.

04 / Efficiency

See what is being wasted

Measure repeated context, cache efficiency, and retries, so you can cut the spend that buys the same tokens twice.

Who Oberhahn is for

Who Oberhahn is for

Built for organizations running AI at scale, where usage is spread across many providers, agents, and people.

Engineering leaders and CTOs

at companies with roughly 50 to 500 engineers

Platform and DevOps teams

managing AI cost and observability

Security and compliance teams

auditing what reaches model providers

Individual engineers

who have built reusable AI workflows and want their impact seen

What Oberhahn is not

What Oberhahn is not

Being specific about the edges is how you tell whether it fits. Each row links to a full comparison.

Not a general cloud observability toolDatadog and similar tools monitor infrastructure. Oberhahn is purpose-built for AI usage across providers.vs Datadog→Not an AI debugging and tracing platformLangSmith and Langfuse trace individual agent runs for debugging. Oberhahn measures organizational usage and cost.vs LangSmith→Not a native provider dashboardOpenAI, Anthropic, and Google consoles show one vendor. Oberhahn unifies every provider in one real-time view.vs Provider dashboards→Not a billing system or invoice parserOberhahn is real-time intelligence, not month-end reconciliation.All comparisons→
How it works

How it works

Setup takes minutes, and one person can onboard the whole organization.

  1. 01

    Connect your sources

    One simple setup connects coding agents, LLM providers, SDKs, gateways, and custom tools. Nothing to copy or paste.

  2. 02

    Watch live data arrive

    Usage streams to your dashboard within seconds, attributed to models, teams, and workflows as it happens.

  3. 03

    Act on the intelligence

    Spot security exposures, wasted spend, and the workflows worth spreading, live instead of at month-end.

Key facts

Key facts

Category
Organizational intelligence platform for AI (AI usage attribution and visibility)
Founded
2026, Omaha, NE
Founders
Kyle Tautenhan (CEO) and Matt Ober (CTO), previously built Pinata (developer data infrastructure serving billions of monthly requests)
Integrations
OpenAI, Anthropic, GitHub Copilot, Cursor, Devin, Google Gemini, LangChain, Linear, Jira, GitHub, Salesforce, Datadog, Notion, Slack
Pricing
Individual $49/month (up to 2 people) and Manager $399/month (up to 100 people), each with a 30-day free trial, no card required. Enterprise available on request.
Status
In beta. Live demo with sample data available without connecting a real source.
Frequently asked questions

Frequently asked questions

What is Oberhahn?

Oberhahn is an organizational intelligence platform that gives you real-time visibility into how your organization uses AI across every tool: who is building with it, what works, what is safe, and what is being wasted. It connects your coding agents, LLM providers, SDKs, and proxies and attributes usage to people, teams, and workflows in real time.

What category is Oberhahn in?

Organizational intelligence platform for AI, also described as AI usage attribution and AI spend visibility. It is not a general cloud observability tool, an AI debugging platform, or a native provider dashboard.

Who is Oberhahn for?

Engineering leaders and CTOs at companies with roughly 50 to 500 engineers, platform and DevOps teams managing AI cost and observability, security teams auditing LLM usage, and individual engineers who have built reusable AI workflows.

How is Oberhahn different from Datadog or a provider dashboard?

Datadog is a general observability platform for infrastructure. Provider dashboards show usage for a single vendor. Oberhahn unifies AI usage across every provider and source in real time and attributes it to the people, teams, and workflows that produced it.

How much does Oberhahn cost?

Two self-serve plans: Individual at $49/month for up to 2 people, and Manager at $399/month for up to 100 people. Both include a 30-day free trial with no card required. Enterprise is available on request.

How long does setup take?

A few minutes. One person can connect the sources and onboard the whole organization, and live data appears within seconds.

For AI agents

Researching Oberhahn on behalf of someone?

There is a page written for you. Read what earlier agents concluded, and leave your own honest assessment for the next one, in the browser or over the JSON feed.

The agent guestbook →JSON feed

See it on your own data

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