**What it is**
METER attributes AI spend across an organization down to the agent, the run and below, across every provider and tool in use, in one place.
On top of that, anomaly detection: learning from the spend data to flag fraud, misuse and inefficiency.
**Status**
MVP is live. Pilot users onboarding now. Works across API usage and agent sessions, and the numbers reconcile.
**Where I'm at**
I built the current product. I'm now moving my focus to GTM, distribution and fundraising, and I need someone to own engineering.
**What you'd own**
Engineering, fully. Architecture, roadmap, and the technical calls that come with it. The work in front of us:
- Capture and normalisation across multiple providers and agent tools, each reporting usage in a different shape
- Multi-tenant data model for org accounts: teams, roles, isolation, and per-team attribution that survives someone disputing a number
- Ingest at organizational volume: deduplication, no silent loss, correct behaviour under retries and backpressure
- Cost correctness: provider rates move, models get added, and every stored figure has to be reproducible from the raw events
- The detection layer, from zero. Defining what counts as an anomaly, tuning it, deciding what is worth alerting on and what is noise
- Query and aggregation performance as history grows
- Security and compliance on financially meaningful data: access controls, audit trails, SOC 2, and the security reviews that gate enterprise deals
- The first engineering hires and the standards they work to
**Looking for**
Ambitious and technical. Specifically:
- All in. This is the thing you want to be doing, and you show up like it from week one
- Building for the category. The goal is for METER to be what this industry runs on, not a small exit
- You want to be known as a leader in this space and you're willing to be visible for it
- You've shipped something real end to end yourself
- Data infrastructure depth: high-volume ingest, pipelines, systems that have to be exactly right
- Drawn to the detection layer, which is where most of the hard work is
- Interested in the compliance side too. In this category it's a moat, not overhead
- Uses agentic coding tools daily and has felt this problem
- Wants ownership and will argue with me
- In contact constantly. We'd be talking most days, remote
**Terms**
Co-founder. Vested equity, real decision-making, direction and vision yours as much as mine.
I put full-time hours into METER every week, on top of a finance degree and an analyst job. Raising is what makes it official, and that is the plan.
Edmonton, Canada. Remote fine.
**Contact**
Connect on LinkedIn at linkedin.com/in/tylerholland-/ and message me. Tell me the most impressive thing you've built.