Governance risk intelligence.
Before the headline.

SignalAI Markets scores public companies on governance posture using only public data — surfacing the risks institutional investors need to see 12–30 months before they become front-page news.

Governance risk is hiding in plain sight

The data exists. Nobody is extracting it systematically.

Qualitative, subjective, reactive

Governance risk is the #1 predictor of corporate failure, but it's assessed qualitatively, subjectively, and reactively. By the time governance failures make headlines, the damage is done — stock drops, counterparty exposure, reputational risk.

Annual cycles miss governance drift

Current tools — proxy advisors, ESG scores — operate on annual cycles and miss slow-moving governance drift between assessment windows. The risk accumulates quietly in the gaps.

The data is already public

The signals are sitting in public filings — 10-Ks, proxy statements, leadership disclosures — but nobody is extracting them systematically. Until now.

Headlines are the lagging indicator

When governance failures make news, institutional investors are already exposed. The question isn't whether the data existed — it's whether anyone was reading it structurally.

Governance Risk Index (GRI)

A 100-point scoring system across five weighted components, derived exclusively from public data.

Component Weight What It Measures
Board Independence & Oversight /25 Independent director ratio, committee structure, expertise alignment, attendance
Executive Leadership Stability /20 C-suite tenure, unplanned departures, succession planning disclosure
General Counsel / CLO Visibility /25 GC tenure, dual-role conflicts, regulatory exposure, reputational risk indicators
Chief Risk Officer Function /20 CRO existence, reporting line independence, risk committee integration
Regulatory & Legal Exposure /10 Active enforcement actions, consent orders, material litigation trajectory
80–100
Strong
Strong governance posture
60–79
Adequate
Monitoring recommended
40–59
Elevated
Active assessment warranted
< 40
Critical
Governance deficiency
All inputs derived exclusively from public filings, press releases, regulatory databases, and verified news sources. No insider information. No proprietary corporate data.

The data speaks

Every major governance failure in our dataset scored below 40 using data available 9–24 months pre-collapse. Control companies scored above 80.

Governance Failures
Company Score Assessment Window What Happened
SVB (Silicon Valley Bank)
31
Q2 2022 (9 months pre-collapse) Collapsed March 2023
Wirecard
22
Q1 2019 (18 months pre-collapse) Fraud exposed June 2020
Credit Suisse
28
Q2 2022 (10 months pre-collapse) Emergency acquisition March 2023
Theranos
15
Q1 2017 (12+ months pre-indictment) Criminal charges 2018
WeWork
18
Q1 2019 (6 months pre-IPO collapse) Failed IPO September 2019
FTX
12
Q2 2022 (6 months pre-collapse) Bankruptcy November 2022
Control Group — Strong Governance
Company Score Assessment
JPMorgan Chase
88
Strong
Microsoft
91
Strong
Nvidia
85
Strong

Zero false negatives in the dataset. Clean separation between failures and strong-governance peers — no score overlap. Every failure scored below 40. Every control scored above 80.

Goldman Sachs CLO Departure

February 2026. The live proof of concept.

The Event

Kathryn Ruemmler resigned as Goldman Sachs Chief Legal Officer (Feb 12, 2026) following DOJ release of 3.5M pages of Epstein files revealing an extensive personal relationship.

SignalAI scored Goldman across four time windows
Q1 2023 — Pre-WSJ report Strong
84
No public info on CLO-Epstein relationship
Q3 2023 — Post-WSJ report Adequate
76
WSJ reports dozens of meetings; Goldman defends
Q4 2025 — Post-Congressional emails Adequate
68
Emails reveal gifts, pet names, advisory relationship
Q1 2026 — Post-Resignation Elevated Risk
58
CLO departs, no successor named, 4.5-month lame duck period

The Insight

26-point decline over 30 months. The methodology would have generated a first drift alert in Q3 2023 — 30 months before the resignation made headlines. The GC Visibility component collapsed from 22/25 to 6/25 while Board (15/20), CRO (17/20), and other components held steady. This is what single-component governance drift looks like — invisible to traditional assessments, visible to systematic scoring.

How you'd use this

SignalAI fits into existing institutional workflows. Four perspectives on the Goldman case.

Equity Research Analyst

July 2023: WSJ report triggers drift alert (84→76). You add one line to your research note about CLO governance risk. November 2025: Second alert (→68). You write a dedicated paragraph and ask the question on the earnings call. You're the analyst who saw it coming.

Compliance / Counterparty Risk Officer

Q3 2023: Drift alert triggers a note in your counterparty risk file. Q4 2025: Score drop escalates to risk committee with a one-page memo. When the CLO resigns, it's documented. Career protection.

Portfolio Risk Manager

Q3 2023: Alert goes on risk dashboard. Q4 2025 at 68: You run the scenario — what if CLO departs and there's a messy transition? When it happens, your portfolio manager gets a note that morning: "We anticipated this."

M&A Advisor

Late 2025: Advising a client on a transaction where Goldman is on the other side. Goldman's governance score shows a 16-point decline driven by CLO reputational risk. You include it in the diligence memo. If someone asks "did we know?" — the answer is yes, page 7.

SignalAI doesn't tell you what to do. It tells you what to look at — sooner than you otherwise would. The action is yours. The signal is ours.

What the platform delivers

Structured governance intelligence designed for institutional workflows.

Quarterly Governance Scores

Drift alerts for 500+ public companies. Continuous monitoring, not annual snapshots.

Component-Level Decomposition

See WHERE risk concentrates. Board, leadership, legal, risk function, or regulatory — isolate the driver.

Peer Context

How a company scores relative to sector peers. Benchmarked, not absolute.

Trajectory Tracking

Score movement over time tells the story. 84→76→68→58. The trend is the signal.

API Access

Integration into existing risk platforms and research workflows. JSON, REST, bulk export.

Currently in validation phase. Working with institutional investors to refine methodology and build the platform.

Built by Applied AI Ventures

SignalAI Markets is built by Franco at Applied AI Ventures. The thesis is simple: governance data is hiding in public filings, and nobody is extracting it systematically. We're data engineers applying AI to a problem the finance industry has been solving manually — and inconsistently — for decades.

Shape the product

We're in validation phase and offering early access to institutional investors who want to help shape the product. No commitment required.

We'll only reach out about early access. No spam.