Austin, Texas

Building the intelligence layer for AI engineering

From AI Spend to AI Value.

ForgeMeter is an early-stage startup in Austin, Texas. We are a small team that takes on complex, cross-vendor problems — and ships software that engineering leaders can actually use.

Small startup · Engineering-first · Based in Austin, TX

ForgeMeter

AI Engineering Analytics

From AI Spend to AI Value.

ForgeMeter team collaborating at our Austin startup office

The team behind ForgeMeter — building in Austin, Texas

Vision

AI development tools are no longer optional. Neither is understanding what they cost — or whether they are worth it.

The problem

Engineering teams run Cursor, Copilot, and direct API usage in parallel. Finance wants ROI. Platform teams want control. No one has a single view — or a path from insight to action.

Our vision

Become the intelligence layer for AI engineering — the place leaders go to understand spend, prove ROI, and optimize without slowing developers down.

The opportunity

Every mid-market and enterprise engineering org is adopting AI dev tools faster than they can measure them. That gap is widening — and it is exactly the kind of complex problem we are built to solve.

What we are building

ForgeMeter unifies AI development spend across Cursor, Copilot, OpenAI, and Anthropic — connect official APIs, sync usage on a schedule, and give leaders live dashboards, alerts, and audit reports.

ForgeMeter Optimize turns findings into platform-led action — helping teams reduce waste without disrupting developer workflow.

Explore Optimize

Why now

  • Free audit as top-of-funnel — immediate value before any subscription
  • Live usage sync — Sync now, daily auto-sync, and email reports
  • Official API integrations — encrypted keys, no traffic interception
  • ForgeMeter Optimize — platform-led remediation with verified outcomes
  • Land in engineering, expand to finance and platform teams
Roadmap

Roadmap

Idle seats, dual-tool overlap, Optimize tracking, FinOps export, delivery proxies, and budget emails are live. Next: more coding tools, RBAC, and soft spend controls.

PlatformSoon

More coding-tool integrations

Claude Code, Windsurf, and Azure OpenAI — still official APIs only, still SDLC-scoped.

PlatformNext

Role-based access

Permissions for platform, finance, and engineering managers without turning the product into enterprise theater.

ForgeMeter OptimizeNext

Soft spend controls

Guardrails and nudges for teams nearing caps — visibility first, never hard blocks on developers.

ForgeMeterLater

Git delivery signals

Optional PR / merge proxies from GitHub to tighten ROI beyond Copilot acceptance and agent volume.

PlatformLater

Stronger identity matching

Map Copilot GitHub logins to work emails for precise dual-tool overlap (today is login ≈ email local-part).

How we work

We have lived the problem — scattered dashboards, surprise invoices, and no single view for leadership.

Clarity over hype

AI tool spend is confusing enough. We focus on numbers leaders can act on, not buzzwords.

Complex problems, simple surfaces

Unifying usage across vendors is hard. Our job is to make the output obvious — for a CTO, a platform lead, or finance.

Measure, then optimize

Visibility comes first. Remediation follows. ForgeMeter and ForgeMeter Optimize are two halves of one loop.

Work with us

We are looking for design partners, early engineering teams, and investors who see the same gap we do. Request a conversation or investor deck — we respond from Austin.

Missing a tool or feature?

Investor inquiries welcome — mention it in your message on the contact form.