Most investors treat all management guidance equally. Smart money knows better.
VioBase tracks verified prediction accuracy across 1,906 executives, revealing patterns in who hits their timelines and who doesn't—giving you edge before it shows up in stock prices.
Earnings calls processed
Executives tracked
Upcoming predictions monitored
When Elon Musk says "robotaxis in 50% of the US by year-end," or Jensen Huang guides Blackwell revenue, how do you know if they'll actually deliver?
Investors treat all executive guidance equally, missing that some CEOs consistently overpromise while others consistently deliver.
Markets take 6-12 months to price in executive credibility patterns. By then, the alpha is gone.
VioBase quantifies credibility patterns before they're priced in, giving you systematic edge on position sizing and timing.
We've built the world's largest verified database of executive predictions and their outcomes
From 14,852 earnings calls and 7,430 media sources, we identify every forward-looking claim executives make—timelines, targets, competitive impacts.
Manual verification of whether predictions hit, missed, or exceeded targets. We track the evidence and build credibility scores by executive, topic, and timeframe.
Pattern insights, real-time alerts, and predictive scoring on new claims. Know who to trust before making position sizing decisions.
See how sophisticated investors use executive credibility intelligence
Evaluate executive credibility before making position sizing decisions
Traditional approach
Watch hours of earnings calls trying to gauge if management's guidance is reliable. Rely on gut feeling or analyst consensus.
Risk: Trade on unreliable guidance, miss timing signals
With VioBase
See Elon Musk's autonomous predictions: 22% accurate, average 18 months late. Pattern: Trust near-term software claims (100% accurate), fade medium-term automotive timelines (19% accurate).
Result: Size positions based on verified track records
Systematic executive credibility scoring for portfolio decisions
Traditional approach
Manually track which CEOs hit their guidance. No systematic way to weight forward-looking statements by historical accuracy.
Result: Miss credibility patterns, overweight unreliable guidance
With VioBase
Compare semiconductor executives: TSM 100% accurate, NVDA 81%, INTC 61%. API integration weights guidance in trading models automatically.
Result: Systematic alpha from executive credibility arbitrage
Validate management quality across investment opportunities
Traditional approach
Read analyst reports about management credibility. No quantified historical data on prediction accuracy by topic or timeframe.
Time: Days of manual research per company
With VioBase
1,906 executives tracked with multi-dimensional accuracy: by category (automotive vs. software), timeline (0-6mo vs. 6-18mo), and tier (operational vs. strategic claims).
Time: 5 minutes with comprehensive credibility profile
Identify early warning signals from executive language patterns
Traditional approach
React to missed guidance after the fact. No early detection of deteriorating executive credibility or hedged language.
Result: Late to adjust positions, miss risk-off signals
With VioBase
Track 455 upcoming predictions with overdue alerts. Pattern detection: When executives start hedging language ('approximately', 'we expect'), accuracy drops 30%.
Result: 3-6 month early warning on execution risk
Validate competitive threat claims before they move markets
Traditional approach
Company A claims their product will hurt Company B's revenue. Market reacts. You have no data on whether such claims historically materialize.
Result: Overreact to noise, miss real threats
With VioBase
Impact validation database shows competitive threat predictions only materialize 35% of the time. Pattern: Specific mechanism claims = 67% accuracy, vague disruption claims = 12% accuracy.
Result: Know which threats to ignore, which to hedge
We manually verify every outcome with evidence. Not AI hallucinations or analyst opinions—actual track records.
Multi-dimensional accuracy scoring by timeline, topic, tier, and category. See exactly where executives are reliable and where they overpromise.
When new predictions are made, our models forecast likelihood of delivery based on historical patterns—giving you forward-looking edge.
Earnings calls processed
Media sources indexed
Executives tracked
Upcoming predictions
From individual traders to institutional research teams
Explore executive credibility data