Adoption readiness map
Prioritize markets and organizations from policy, project, capital, and operating evidence.
Cleantech operational intelligence
Connect policy, capital, facility, buyer, competitor, product, and project evidence across emerging clean-technology markets.
Signals that matter
Signals establish timing and context. They do not become recommendations until the evidence is verified against the decision.
Observed, sourced, dated, and reviewed before activation.
Observed, sourced, dated, and reviewed before activation.
Observed, sourced, dated, and reviewed before activation.
Observed, sourced, dated, and reviewed before activation.
Industry applications
Prioritize markets and organizations from policy, project, capital, and operating evidence.
Compare claims, economics, deployment requirements, partners, and validation.
Map assessment, design, finance, approval, deployment, verification, and support.
Transparent by design. Fictional names, sample dashboards, awards, testimonials, and results are marked as illustrative. They show the shape of an engagement—not verified customer claims.
Broad sustainability commitments did not reveal which facilities had the economics, leadership, and project activity required to act.
Read the complete case studyConnected intelligence
Questions before engagement
Cleantech teams make decisions across changing market conditions, complex buyer groups, product behavior, and operating workflows. FireSquid is most useful when the decision matters, the evidence is fragmented, and a team needs to see why a recommendation was made.
Public policy, project, capital, facility, and company evidence can guide research. Partner and customer project details require explicit authorization.
Select one clean technology and market; identify adoption conditions, priority organizations, proof needs, and delivery constraints.
The signal is already there
Select one clean technology and market; identify adoption conditions, priority organizations, proof needs, and delivery constraints.