Question 1

What is Caliber?

Accepted Answer

Caliber is the intelligence layer of your org. It connects every AI tool, agent and dollar a company pays for to the org chart from its HRIS, so every leader sees what their people use, what it costs and what it ships: AI spend by team and owner, cost per shipped item, and every seat, key and agent reconciled to an owner and a team.

Question 2

Is Caliber only for engineering teams?

Accepted Answer

No. Engineering intelligence tools stop at R&D. Caliber measures every team on the org tree, engineering or not, because the roster comes from the HRIS. Support, sales, marketing, finance and people teams get the same view of adoption, spend and ownership.

Question 3

What does Caliber show today?

Accepted Answer

AI spend by team and owner, seats and usage together. Cost per merged PR and closed issue. Every seat, API key, agent and Bedrock account reconciled to an owner and a team, with unused ones flagged. Budgets per person, department and type of work, with caps pushed to Anthropic and Cursor when one runs out. The work mix of every AI session (feature, bug fix, initiative) and the share of merged code AI wrote, line by line. And plain-language questions, answered for the asker's position, in the app or over MCP.

Question 4

Does Caliber help people get better, or only measure them?

Accepted Answer

Both, and the individual comes first. Every person gets their level, the next practice to try and the skills their best teammates already use, recommended where they work. Leaders see which skills, agents and MCP servers each team runs, so a practice that works in one team spreads to the rest.

Question 5

What insights does Caliber surface on its own?

Accepted Answer

A daily run of insights across the org, for example: non-R&D people who put 80% or more of their AI spend on frontier models like Opus, people who do much of their work on a model a major version behind, people who stopped using AI after weeks of regular use, people who left the company but still hold paid seats, keys with no owner, and teams running maximum reasoning effort on routine work.

Question 6

What does Caliber connect to?

Accepted Answer

AI tools: Claude (Team, Enterprise, Claude Code), Cursor, OpenAI (ChatGPT, Codex, API) and Amazon Bedrock. AI gateways: Portkey and LiteLLM, with cost by person, model, token type and reasoning effort. The org tree, roles and sign-in: HiBob, Shapes, BambooHR, Okta and Microsoft Entra ID, so every person sees what their place in the org allows. Delivery: Jira, Linear and GitHub. Business systems: Salesforce, Zendesk and Slack.

Question 7

Can a manager read someone's AI sessions?

Accepted Answer

No. Caliber keeps metadata, never transcripts. A lead sees that a session ran long and why, never the words. Managers see their own team, an executive sees the company, and a person sees themselves.

Question 8

Where does Caliber run?

Accepted Answer

As a hybrid data plane in your own cloud: installed with Helm into a dedicated namespace in your VPC, talking only outbound over port 443, with no inbound ports. Raw prompts, identities and credentials stay with you; the hosted app sees de-identified aggregates. Sign-in and roles come from Entra ID, SAML or OIDC, and a team is live inside a week.

Question 9

What is coming next?

Accepted Answer

Delivery intelligence on the same org tree: where work waits from prompt to production (review queues, handoffs, rework) and what each delay costs.

Question 10

Who uses Caliber today?

Accepted Answer

Caliber is live with paying customers, from fintech to software companies. Customer names and figures are published once each customer approves.

Question 11

How does Caliber compare to DX, Jellyfish, LinearB, Swarmia, Span, Waydev or Weave?

Accepted Answer

Those are engineering intelligence tools: engineering leadership, R&D, repositories. Caliber starts where they stop: every team on the org tree, every seat, key and agent with an owner, and budgets that hold at the vendor. They go deeper on engineering delivery metrics today; delivery bottlenecks are on Caliber's roadmap. Comparisons live at trycaliber.ai/solution/vs/.

Question 12

Is any of Caliber open source?

Accepted Answer

Yes. Caliber began as ai-setup, an MIT-licensed CLI on GitHub (caliber-ai-org/ai-setup, on npm as @rely-ai/caliber) that reads a codebase and writes the configs AI coding agents need: CLAUDE.md, .cursorrules, AGENTS.md, skills and MCP servers.

Question 13

How do I get started?

Accepted Answer

Book thirty minutes with the founding team at trycaliber.ai/get-a-demo, or write to sales@trycaliber.ai. You walk out with a roadmap for your org, zero slides.

The intelligence layer of your org.

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