What is stakeholder simulation?

Stakeholder simulation uses research-grounded synthetic personas to explore how different groups experience a decision before it's made. Unlike generic AI personas, our simulations are built on 7+ validated academic frameworks with documented bias treatment. The goal is not prediction — it's preparation.

SageScan is a research innovation company combining strategic foresight, synthetic stakeholder simulation, and future storytelling — augmented with applied AI. We operate two tracks: Sage Scenarios (human-delivered stakeholder simulations for complex decisions) and Sage Reports (automated market intelligence for founders and teams).

SageScanAI agents for market and futures intelligence across global commodities and assets.

4.7 (6)

Reviewed by Daniel Nikulshyn·Updated July 2026

Finance AI Agents Market Intelligence Real-Time Data Research Trading Enterprise

Overview

SageScan offers AI-powered market and futures intelligence tools, specifically designed for the global commodities and assets markets. It provides two main products: Sage Reports, which delivers automated research based on validated frameworks such as PESTEL, TAM/SAM, and competitor analysis, and Sage Scenarios, which simulates the human experience of decisions before they are made through stakeholder simulation built on 7+ academic frameworks. The platform uses a centaur research model that combines human expertise with AI-driven analysis to produce credible, structured intelligence. Its methodology has been validated and has been used in real-world applications, such as the 2026 Portuguese election. Users can choose from self-serve or customized research options and access specialized AI agents that work in parallel to provide fast and accurate market intelligence. SageScan has been praised by clients for reducing research time and revealing important insights through its synthetic stakeholder simulation, and is particularly useful for founders, VCs, innovation teams, and market research professionals.

Key features

Autonomous market intelligence agents
Futures and commodities tracking
Real-time news and signal aggregation
Customizable alerts and briefings
Scenario and risk analysis
Multi-source data integration

Pricing

Model: Freemium
Category: AI Agents
Rating: 4.7 / 5 (6)

Use cases

Monitor Commodities and Futures Markets

Deploy autonomous agents to continuously track futures contracts and commodity prices, surfacing trend shifts and key signals without manual chart-watching.

Automated Analyst Briefings

Generate structured, scheduled briefings on specific instruments, sectors, or themes so analysts can start the day with synthesized intelligence instead of raw feeds.

Real-Time Risk and Scenario Analysis

Run scenario and risk analyses against live market and macro signals to stress-test positions and anticipate downside events as conditions evolve.

Thematic Trading Signal Discovery

Configure agents around custom themes or strategies to aggregate news, filings, and alternative data, helping traders identify emerging opportunities faster.

Pros & Cons

Pros

Automates time-consuming market research
Real-time monitoring across multiple data sources
Customizable agents for specific instruments or themes
Structured outputs suited for analyst workflows

Cons

Niche focus may not suit casual investors
Requires domain knowledge to configure effectively
Pricing likely geared toward professional users

Reviews

4.7

Average from 6 ratings.

George Papadakis

Jan 5, 2026

Does the job

Pretty happy overall. Futures and commodities tracking just works and automates time-consuming market research. but no dealbreakers — I'd recommend it to a friend without hesitating.

Margaret Whitfield

Nov 26, 2025

Does the job

Pretty happy overall. Autonomous market intelligence agents just works and automates time-consuming market research. but no dealbreakers — I'd recommend it to a friend without hesitating.

Robert Ainsworth

Nov 21, 2025

Does the job

Pretty happy overall. Scenario and risk analysis just works and structured outputs suited for analyst workflows. Requires domain knowledge to configure effectively can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Hannah Goldberg

Oct 11, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: futures and commodities tracking and customizable agents for specific instruments or themes. Where it lags: requires domain knowledge to configure effectively. On balance the feature set — especially customizable alerts and briefings — justifies the 4 stars for our use case.

Elena Rossi

Jun 29, 2025

Use it every day

Honestly didn't expect to like it this much. Real-time news and signal aggregation is exactly what I needed, and automates time-consuming market research. but I reach for it almost every day now and it just clicks.

Tariq Aziz

Jun 17, 2025

Use it every day

Honestly didn't expect to like it this much. Multi-source data integration is exactly what I needed, and automates time-consuming market research. I do wish pricing likely geared toward professional users, but I reach for it almost every day now and it just clicks.

Q&A

Is Sage Scenarios available as a self-serve platform?

Not yet. We're delivering engagements manually while validating the methodology with clients. Request early access to work with us directly — this ensures methodological rigor at every step.

Asked by Halime Yalcin · Feb 1, 2026

What is Sage Reports?

Automated market intelligence following validated frameworks — PESTEL, TAM/SAM, competitor analysis, value proposition, pricing strategy. Designed for founders who need structured insights fast. From €99.

Asked by Victor Nguyen · Jan 10, 2026

What frameworks do you use?

Causal Layered Analysis, Three Horizons, Schwartz Values Theory, Moral Politics, 2×2 Scenario Matrix, Silicon Sampling, and Experiential Futures. The specific combination depends on the engagement.

Asked by Ekaterina Orlova · Jan 8, 2026

How is this different from AI chatbots or persona generators?

Generic tools generate personas from prompts. We build personas from research — each grounded in socio-demographic data, values profiling (Schwartz), and cultural framing. Every simulation includes a documented bias audit. This is research methodology, not prompt engineering.

Asked by Vasyl Kovalenko · Jan 7, 2026

How does a Sage Scenarios engagement work?

Three formats: Signal (1 week, 5 personas, €1,500–2,500), Simulation (3–4 weeks, 10–15 personas, €5,000–8,000), and Custom (bespoke, €10,000+). Each follows our Centaur Research Model — human expertise defines frameworks and interprets results; AI handles research depth and synthesis at scale.

Asked by Ren Nakamura · Dec 13, 2025