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AI Cost & Margin Intelligence

See what your AI really costs.

And what it earns.

Bear Lumen unifies LLM spend across every provider, attributes it to the feature and the customer, and ties it back to revenue. One source of truth for the teams pricing, building, and paying for AI.


Centralized Telemetry

One unified ledger aggregating token usage, model variants, and costs across all major LLM vendors.

Granular Attribution

Automatically map infrastructure costs to specific endpoints, product features, or individual customer tenants.

Margin Intelligence

Instant visibility into contract value minus AI infrastructure cost, so teams can confidently optimize pricing models.


The 14-Day Proof of Concept

From connection to unit economics in fourteen days.

  1. 1
    Submit FormStart

    Share a few details about your AI usage in the short form on this page.

  2. 2
    Generate a Key, Drop in the SDK1 line

    Generate an API key, then track every AI call with a single line. Every provider, no proxy, no latency overhead.

  3. 3
    Connect Billing1 click

    Link your Stripe billing in one click. We pair revenue against AI cost, so every customer and feature shows a true margin, not just spend.

  4. 4
    Live Dashboard & Summary APIs48 hours

    Watch usage, spend, and margin in real time, attributed by customer, feature, and model. Summary API endpoints serve the same data back, so your own AI can read it too.

  5. 5
    Unit Economics ReportDay 14

    A full margin diagnostic showing where money goes and where it leaks, plus the cost-per-feature data you feed into your pricing. We surface the analysis and the options. You decide what changes.


Request Access

Start your proof of concept.

Tell us about your stack. We'll stand up a live pilot in 48 hours and deliver a full unit-economics diagnostic by day 14.

Enterprise-grade data security. Our SDK tracks token counts and metadata only. We do not store, log, or view sensitive prompt payloads or user inputs. Built with SOC 2 compliance standards in mind.