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ELP Ventures / Engine 01

AI & TECHNOLOGY

We don't invest in AI.
We run AI.

Capital and operating partners for applied AI and infrastructure companies — plus the internal lab that built ELP GPT, the model reasoning across every other engine we run.

Pitch this engine See ELP GPT
0
AI & infra portfolio cos.
$0
Deployed in AI & infra
$0
Avg. first check
0
Compute under management

Where we write checks

Three theses, one underwriting bar.

We look for teams building the layer below the model — or the workflow on top of it — not another wrapper.

THESIS 01

AI Infrastructure

Compute orchestration, fine-tuning pipelines, evaluation, and inference cost — the plumbing every model needs and almost nobody wants to build.

StageSeed – Series A
THESIS 02

Applied AI

Vertical AI products that replace a workflow entirely rather than assist it — underwriting, claims, logistics dispatch, legal discovery.

StageSeed – Series B
THESIS 03

Developer Tooling

The frameworks and observability layers that make the previous two theses ship faster and break less in production.

StagePre-seed – Seed

The tool

Where does your stack actually stand?

Three sliders, an honest score. This is the same rubric our operating partners use on day one of a real diagnostic.

AI Readiness Assessment

Instant · No signup
Data maturity50
Model & ops maturity50
Team & org readiness50
50 You're mid-pack — the fastest fix is usually data pipeline discipline, not a bigger model.
Data room, gatedCap tables, model cards, and eval results stay behind an NDA until we're both ready.
Technical diligence, fastAn operating partner with real ML background, not a generalist, reads your architecture first.
Compute, if you need itPortfolio companies can draw against our own GPU allocation while a round closes.
Two business daysSame reply window as every other engine — no exceptions for AI hype cycles.

Bring the architecture diagram, not just the deck.

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