Strategy needs foresight. We're building the engine that delivers it.

Every organization makes decisions under uncertainty. Sooth delivers reliable forecasts to the questions that matter most. Helping you allocate capital, manage risk, and act with insight, not instinct.

72%

“Will grid power become the main bottleneck for U.S. AI infrastructure expansion over the next three years?”

— CEO of an Industrial Company

“Does Iran's nuclear program shift from ambiguous leverage to active escalation before year-end?”

— Intelligence Analyst

“Will deposit beta rise faster than the market currently expects through the next easing cycle?”

— Bank ALM Desk

“What is the probability that 2027 Atlantic hurricane losses exceed $200B in insured damages?”

— Insurance Chief Risk Officer

“Will OPEC+ maintain production discipline through Q3?”

— Energy Trading Desk

“Does the dollar's share of global reserves drop below 55% within five years?”

— Sovereign Wealth Fund CIO

“Will GLP-1 receptor agonists reach $150B in annual revenue by 2028?”

— Pharmaceutical CEO

“Will recurring drought conditions render the Panama Canal operationally unreliable for container shipping by 2027?”

— VP of Supply Chain

“Has U.S. office vacancy peaked?”

— Real Estate Investment Committee

“What is the probability of a kinetic escalation in the Taiwan Strait within the next 36 months?”

— Defense Strategic Planner

“Will core inflation in the Eurozone return sustainably to 2% before the ECB exhausts its current easing cycle?”

— Central Bank Governor

“Will the voluntary carbon credit market consolidate into a regulated framework by 2028?”

— Climate Risk Strategist

“Does TSMC successfully derisk its geographic concentration before a major supply disruption occurs?”

— Semiconductor Industry Analyst

“Will rising interest rates compress LBO returns below 15% IRR for mid-market deals through 2028?”

— Private Equity Partner

“Does our enterprise pipeline convert at forecast rates if the Fed holds rates through Q3?”

— Chief Revenue Officer

“Will the Yen carry trade unwind trigger correlated sell-offs across emerging market credit before year-end?”

— Hedge Fund Portfolio Manager

“Will the oversupply in Q2 2027 bring copper prices below $8,000/tonne?”

— CFO of a Global Manufacturer

“Will the AI infrastructure spending cycle peak before our Series B portfolio companies reach profitability?”

— Venture Capital General Partner

01 — Foresight Gap

Strategy under
uncertainty.

Every major institution makes long-term decisions under uncertainty. Yet the systems they rely on for foresight were built for a world that no longer exists.

The world is integrated. Today’s forecasting isn’t.

Prediction markets forecast events. Time-series models project trends. Financial markets price risk. Climate models simulate physical systems. Each sees a different part of reality. None understands how those parts interact.

A geopolitical conflict can disrupt supply chains, reshape energy markets, alter inflation, and reprice sovereign debt. Today’s forecasting systems cannot reason across those connections.

Forecasting is fragmented.

Every industry has built its own forecasting tools. Banks forecast interest rates. Insurers model catastrophe risk. Defense analysts assess geopolitical threats. Policymakers evaluate economic outcomes. Each describes the same world through a different lens.

Inside organizations, forecasting is equally fragmented. Spread across spreadsheets, vendor models, research reports, and expert judgment. These systems rarely connect, rarely learn, and rarely improve.

Forecasting requires a new architecture.

Large language models are powerful reasoning systems, but they were never designed to forecast the future. They don’t maintain a persistent model of the world, continuously learn from outcomes, or produce calibrated probabilities that improve over time.

Forecasting requires something different: a system that learns continuously, reasons across domains, and measures itself against reality.

02 — Vision

Decision-Making as It's Never Been Possible Before.

Every decision is a forecast.

We envision a world where every consequential decision is informed by measurable foresight. Where leaders understand how events connect before they unfold, explore alternate futures before committing resources, and make decisions with confidence grounded in evidence rather than intuition.

With Sooth, every important question about the future has a measurable answer: a calibrated probability grounded in global data and continuously updated as the world changes.

Better Foresight. Better Decisions. Better Performance.

03 - Approach

Global
Foresight Engine

Three components working together to turn global signals into forecasts you can trust, verify, and act on.

Sooth Engine

Understand the future before it arrives

A continuously trained world model that integrates economic, geopolitical, and operational signals into a unified view of how events interact.

Instead of isolated forecasts, you see how risks propagate across markets, supply chains, and regions.

Sooth Chronology

Detect change before everyone else.

Autonomous agents continuously collect and prioritize the signals that matter most to your decisions, capturing events as they happen and identifying gaps before they become blind spots.

Earlier awareness, fewer surprises, and a forecasting system that continuously improves what it learns next.

Sooth Proof

Trust every forecast.

Every forecast is cryptographically committed before outcomes are known, creating a permanent, auditable record of performance.

Our probabilities are calibrated: when the system assigns a 70% probability to an event, approximately 70% of those events occur. Forecasts you can use to make decisions that matter most.

Request a Briefing

The most important decisions deserve better forecasts. Tell us about your organization, and we'll show you how Sooth brings measurable foresight to the decisions that matter most.

Request a Briefing →

04 - Founders

Veterans of Frontier AI at Global Scale.

Yaser Sheikh

Chief Executive Officer

Founded and scaled Meta's Pittsburgh AI organization, leading the development of prediction and perception systems deployed at global scale. At Sooth, he leads the vision for long-horizon forecasting and its core architecture.

Previously MetaCarnegie Mellon

Russ Salakhutdinov

Chief Scientific Officer

Leader in large-scale AI systems, Russ has built and deployed foundation models across industry. At Sooth, he leads development of the forecasting engine and the models that power high-stakes decision-making.

Previously MetaAppleCarnegie Mellon

Chuck Hoover

Chief Product Officer

Product and operations leader who has scaled complex technology programs used by millions globally. At Sooth, he leads product strategy and execution, translating breakthrough research into products that organizations rely on to make better decisions.

Previously MetaSchell GamesElectronic Arts

David LaRose

VP of Engineering

Engineering leader with decades of experience deploying mission-critical systems in industrial and military environments worldwide. At Sooth, he ensures the platform operates with the reliability, scalability, and security required for real-world use.

Previously Carnegie RoboticsUber

Shih-En Wei

Founding Research Scientist

Perception research leader at Meta, where he advanced the state of the art through novel architectures and the teams that delivered them. At Sooth, he sets technical strategy and defines forecasting system architecture.

Previously MetaCarnegie Mellon

We're Hiring

We're building technology that has never existed before with the world's leading researchers in AI, machine learning, and forecasting. Every problem is challenging. Every breakthrough matters. Every person shapes the future of the company.

Join us in building the future of foresight.