01 / SIGNAL
Discover what's worth exploring
Turn market signals and product hypotheses into structured opportunities, with transparent assumptions and research questions.
PRODUCT & INVESTMENT INTELLIGENCE / PRIVATE DEMONSTRATIONS
Better product decisions begin with better evidence.
An AI-powered decision-support platform connecting opportunity discovery, research, quantitative evaluation, and human judgment—so product teams can make each investment decision with greater clarity.
Working demonstration MVP. Select future capabilities are shown using clearly labeled simulated data.
AI-assistedResearch and discovery
Evidence-ledHuman-reviewed decisions
ExplainableFinancial evaluation
TraceableDecision history
THE CHALLENGE
AI can generate answers. Teams need a decision system.
Important product bets are often made across scattered research, subjective assumptions, spreadsheets, and presentations. That makes opportunities hard to compare—and past decisions hard to learn from.
02 / DECISION
Compare investment cases consistently
Combine traceable evidence, scenario analysis, financial logic, and investment-readiness checks in one repeatable workflow.
03 / MEMORY
Preserve what was known
Record forecasts and management decisions so future outcomes can be understood in context, instead of relying on hindsight.
THE THESISPRISM APPROACH
One connected workflow. Four essential stages.
From a promising idea to a documented investment decision—with the foundations for continuous learning.
01
Discover
Define a market opportunity, or explore AI-assisted product hypotheses worth investigating.
Opportunity framing02
Evaluate
Research claims, review sources, assess uncertainty, and examine financial scenarios.
Evidence + quantitative logic03
Decide
Keep the human decision-maker in control with explicit rationale and an executive-ready report.
Human approval + audit04
Learn
Preserve original decision baselines and illustrate how forecasts can be compared with outcomes over time.
Foundation live; outcome demo simulatedThe local MVP implements opportunity and decision workflows. The demonstration's longitudinal outcome-learning example is simulated; enterprise-scale learning remains a roadmap capability.
WHY IT'S DIFFERENT
More than a prompt.
A repeatable method.
Language models are valuable research assistants. ThesisPrism combines that assistance with structured evidence review and separate quantitative rules.
Ask for a technical walkthrough◇
Human-in-the-loop
Product leaders retain responsibility for accepting evidence and making decisions.
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Built-in quantitative assessment
Financial scenarios and explainable decision rules are distinct from generated AI commentary.
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Source and decision traceability
Document assumptions, evidence reviews, and the reasoning behind a recommendation.
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Designed to evolve
Enterprise collaboration, integrations, and outcome learning are defined roadmap directions—not features claimed as deployed today.
BUILT FOR CONSEQUENTIAL CHOICES
For teams accountable
for the next big bet.
Product leaders
Assess portfolio opportunities with consistent evidence and assumptions.
Business unit executives
Understand the case for investment, the uncertainties, and the next validation steps.
Technical B2B teams
Connect market needs, product requirements, and commercial feasibility.
ABOUT THESISPRISM
Built around a simple idea:
better evidence, better bets.
ThesisPrism.ai is an emerging product and investment intelligence platform designed to help teams evaluate new product opportunities more rigorously.
The initial demonstration MVP focuses on disciplined research, human-reviewed evidence, financial analysis, and decision traceability. We are engaging technical and design partners as we develop the next stage.
LET'S TALK
See ThesisPrism
in action.
Interested in a private demo, design partnership, or technical collaboration? Let's start a conversation.
Request a private demo
raulpombo@thesisprism.com