ECHO

The people teaching machines to read the world.

ECHO builds the AI event graph — real events in, mapped consequences out, minutes ahead of consensus.

2024
Founded
23
Team
New York
HQ · remote-first

Amara Diallo

Co-founder · CEO

Ex-macro portfolio manager — ran event-driven books through three cycles.

Strategy

Viktor Hale

Co-founder · CTO

Scaled ML infrastructure to billions of events a day at a global platform.

Engineering

Yuki Tanaka

Head of Graph

NLP researcher — entity resolution and knowledge graphs at web scale.

Research

Marcus Reid

Head of Engine

Former quant desk lead — market microstructure and impact modeling.

Quant

Leila Haddad

Head of Intelligence

Former intelligence analyst — open-source collection and tradecraft.

Intelligence

Tomás Ferreira

Head of Data

Built exchange-grade data platforms serving institutional desks.

Data
01

Events are data, not positions

ECHO reads presidents, central banks, and CEOs the same way it reads shipping manifests: as sources of signal. The engine models consequences — it holds no opinions.

02

Calibration over conviction

A forecast is only useful if its confidence is honest. Accuracy is measured against realized outcomes and published internally, every week.

03

Ship the lead time

The only metric that matters is minutes ahead of consensus. Every model, every pipeline, every hire is judged on whether it widens that gap.

  1. 2024

    Founded

    First graph prototype — one wire, one market.

  2. 2025

    Graph v1

    1B scored edges across 24M entities.

  3. 2026

    Engine v2.6

    Live product — 299M signals ingested daily.

  4. Q4 2026

    $ECHO TGE

    The intelligence economy opens.

Trusted by teams at

  • BlackRock
  • McKinsey & Company
  • BCG
  • Goldman Sachs
  • Citi
  • Microsoft
  • PIMCO

Backed by Meridian Capital · Arc Ventures · Signal Field

Help us widen the lead.

We hire people who would rather measure their edge than talk about it — across research, engineering and data.