Solutions · Capital markets · Flagship

Governed autonomy for trading operations.

Capital markets are the original high-stakes market — autonomous strategies need more than fast execution. They need policy enforcement, per-strategy attribution, risk controls, and a system of record for every decision — for agentic workflows and low-latency ML strategies alike. We embed that infrastructure into your operation, powered by EigenTrader OS.

Who we embed with

What we govern on your desk

Boutique wealth managers · Small and emerging hedge funds · Quant trading operations

✓Autonomous trading strategy governance — agentic and low-latency ML alike
✓Per-strategy P&L attribution — real-time and historical, realized and unrealized
✓Risk-gated execution with human approval
✓A system of record for every order that reaches the broker
✓An experimentation platform: test and promote agentic strategies under production-grade governance
trading_execution.policyEnforced
1policy: trading_execution
2limits:
3max_notional: $1,000,000
4max_drawdown: 2.5%
5require_approval:
6- rebalance_order > $1M
7attribution: per_strategy
8record: every_order ✓
Checked on every order
The shift

Algorithms took execution. Agents are taking the rest.

78% of U.S. equity volume already trades algorithmically — that conquest took twenty years. Agentic AI now reaches the work humans kept: research, risk, portfolio construction, strategy design. The human job shifts from doing that work to governing the agentic workforce doing it. That governance is the infrastructure we provide.

agentic AI spend in financial services, USD billions
$3.9B2024$5.5B2025$7.8B2026$31B2030agentic era
Mordor Intelligence, 2026: $5.5B (2025) → $7.8B (2026), 41% CAGR to $43.5B by 2031. 2024 derived from CAGR; 2030 projected.
0%
of U.S. equity trading volume is algorithmic — and climbing.
J.P. MORGAN / INVESTOPEDIA, 2024–26
0.0B
shares traded per day in 2026 YTD — nearly 3× the pre-COVID 2019 average of ~7B, after +45% in 2025 alone.
SIFMA / CBOE, 2026
0%
of hedge fund managers and staff already access generative AI tools — production deployment is the next step.
AIMA, 2026
0%
of mid-to-large funds already run agentic AI in production — up from single digits two years ago.
AIMA, Q1 2026
Forward-deployed engineering

EigenTrader OS — our flagship product, deployed into your operation.

EigenTrader OS is both the control layer and the system of record: every order that reaches your broker is captured, attributed to its strategy, and replayable. And because it is an operating system, it doubles as an experimentation platform — develop, compare, and promote agentic strategies alongside your low-latency ML models, under the same governance that runs production. Our engineers embed with your team to wire it into your data, your brokers, and your constraints — so governance is built in, not bolted on.

Every engagement lands on the same control plane: policy enforcement in the loop, evaluation before and after launch, full-run observability, and a system of record for every decision.

Explore EigenTrader OS ↗EigenTrader OS on our products page →

Run autonomous strategies you can defend.

Start with one strategy, one desk, one set of limits. We instrument the loop and measure production readiness against your real constraints.

Request a pilot