Company

The layer on which financial intelligence gets built.

Promethean is an AI platform company. Its first domain is quantitative finance, because it is the domain where intelligence is most measurable, most valuable, and most locked inside institutions. We are building the platform on which that intelligence is developed, evaluated, distributed, and composed. We built the infrastructure first, because a market in intelligence is only as good as its evidence.


Thesis

Financial intelligence will be produced by many. The durable position is the layer.

For decades, quantitative intelligence was produced inside a small number of institutions with the infrastructure, data, and capital to do it properly. That is ending: the tools of machine learning are widely held, the data is increasingly accessible, and the people capable of producing specialized intelligence far outnumber the funds that can employ them.

We are building the layer that lets that intelligence be built rigorously, evaluated comparably, distributed to capital, and composed into products. We believe that layer is the durable position, more durable than any single strategy or fund, for three reasons:

  • Evidence is the scarce asset. Strategies are abundant; strategies whose behaviour can be trusted are rare. Producing trustworthy evidence at scale is an infrastructure problem.
  • Markets form around comparability. Once evidence is standardized, a market in intelligence becomes possible, and it draws builders and capital to each other.
  • Composition compounds. An ecosystem of specialized intelligence, evaluated one way, generates knowledge about how intelligence combines. That knowledge accrues to the platform.

We built the infrastructure first. It was the hard part, and it is real.

Founder

Built by someone who has built this class of system before.

TSTim Shoaf · Founder & CEO
Tim Shoaf
Founder & CEO

Tim built, scaled, and led the ML Platform & Infrastructure organization at Roblox, the systems that train, serve, and monitor nearly every model at the company, and stood up the data platform behind an 80PB+ data lake ingesting tens of billions of events a day. His work sits at the intersection of high-performance computing, distributed systems, and machine learning: the disciplines Promethean is made of.

Promethean is the platform he wanted and could not buy: one system, written in Rust, that owns the path from raw data to a deployed, reproducible piece of financial intelligence, together with the market and portfolio layer that a system like that makes possible.

Team

Small on purpose.

TS
Tim Shoaf
Founder & CEO

Led the ML Platform & Infrastructure organization at Roblox; built the data platform behind an 80PB+ lake. HPC, distributed systems, machine learning.

AS
Amber Sharma
Product

Owns the surfaces where the platform meets people, translating a deeply technical engine into a product builders and allocators want to use. Background in operations and analysis, with formal grounding in data privacy (CIPP/E, CIPP/US) and hands-on machine-learning training.

Principles

Five commitments.

01

Reproducible, or it did not happen

A result counts when it can be re-derived.

02

Correctness in the data path

Point-in-time, leakage, and lineage are properties of the system.

03

Infrastructure before market

The market is only as good as its evidence; the evidence is only as good as the platform.

04

Rust at the core

Business logic in a memory-safe, concurrent engine; Python as a declaration.

05

Say what is live

Every status on this site is true at the time of writing.

Where we are

Status, as of September 2026.

live

The development platform end to end: data, features, experiments, backtesting with provenance, registry, deployment to monitored paper sessions on real market data, metering and billing, multi-tenant workspaces, experiment comparison and live monitoring, in-app learning.

building

The marketplace: evaluation records and discovery are live; access for capital and the economics around it are being structured.

direction

The portfolio layer: composition infrastructure in design; conversations with allocators and managers underway.

later

Real-money execution and any offering to investors come after the regulatory and venue work they require.

What we are looking for

Two shapes.

Quant

Quantitative research lead

Owns evaluation methodology, backtest fidelity, and the standard a listing must meet.

Engineering

Distributed systems, in Rust

The execution and data planes: the runtime that turns a declaration into a trained, evaluated, deployed piece of intelligence.

Interested?

We are small on purpose and talking to people directly. If one of these is you, write to tim@cryptex.ai and say what you would own.


Where do you enter?

Build on it, allocate through it, or partner with us.

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