AI/MLApr 2026
Reasoning chains as audit primitives
Why explainability in trading systems is no longer a compliance afterthought, but a first-class engineering surface.
By Anika Voss12 min
§ 01 The Platform
Three primitives,
one cohesive system.
Most platforms ship a tool. Engine ships a substrate — the data, analytics, and workflows your desk depends on, unified under a single intelligence layer that learns the way your firm actually works.
§ 02 Who we serve
Built for the firms
that move markets.
Engine adapts to the contour of your business. Whether you operate a consumer-facing platform, a tier-one bank, or a multi-strategy fund — the substrate is the same, the surface is yours.
Embed institutional-grade intelligence into your platform.
White-label our data and analytics layer. Ship features that took quant teams a decade — in a single sprint.
Time to integrate
4 weeks
SDKs
TS · Python · Go
SLA
99.99%
§ 03 By the numbers
3,000+
Equities under coverage
Across 14 global exchanges
4 weeks
Average time to deploy
From signed term sheet to production
12B+
Data points processed daily
Tick · alt-data · fundamentals
99.99%
Uptime, last 24 months
Multi-region, hot-failover
§ R Research
Field notes from the
frontier of markets.
Engine Research publishes original work on quantitative methods, market microstructure, and AI systems for capital markets — written by practitioners, peer-reviewed inside the firm.
6 papers
§ 04 What clients say
Trusted at the
edge of the market.
Engine is deployed at multi-strategy hedge funds, tier-one banks, and the modern wealth platforms reshaping how institutions invest.
Engine collapsed three vendors and a quant team's worth of infrastructure into a single integration. The signal quality is genuinely differentiated.
AV
Anika Voss
Head of Quant Research · Brevan & Co.
We went from RFP to production trading in under a month. That's not a sales line — it's literally what happened.
ML
Marcus Lindquist
CTO, Markets Division · Northstar Capital
The reasoning chains alone justified the contract. Compliance now reviews trades in minutes, not days.
PR
Priya Raghavan
Chief Risk Officer · Meridian Asset Mgmt
§ C Company
Built by practitioners,
for the desks they
once worked.
Entrio AI was founded in 2023 by a team of engineers and quant researchers from Citadel, Two Sigma, Goldman Sachs, and Bloomberg. We had spent a combined four decades building intelligence systems inside firms that wouldn't share them — and concluded the rest of the market deserved better tooling.
The thesis was simple: the buy-side and sell-side don't need another vendor. They need a substrate — clean data, honest analytics, and workflows that respect how desks actually run. Three years and forty engineers later, that substrate is Entrio.
01
Practitioners first
Every product decision passes a desk-test. If a portfolio manager wouldn't use it on a Monday morning, we don't ship it.
02
Honest math
No survivorship bias, no in-sample fitting, no marketing benchmarks. Our research is reproducible or it doesn't leave the building.
03
Quietly engineered
We optimize for fewer abstractions, longer-lived APIs, and infrastructure that compounds. Hype ages badly in finance.
Offices
New York
United States
One World Trade Center
Financial District · NY 10007
Timezone
EST · UTC−5
Function
HQ · Markets, Engineering
New York
United Kingdom
22 Bishopsgate
City of London · EC2N 4BQ
Timezone
GMT · UTC+0
Function
EMEA · Sales, Compliance
By the firm
Founded2023
Headcount96 across NY · LON
InvestorsSequoia · Index · Lightspeed
Hiring14 open roles