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Darkhorse Emergency LP 6/18/2025
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Darkhorse Emergency LP 6/18/2025
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Last modified
6/25/2025 9:57:42 AM
Creation date
6/25/2025 9:50:01 AM
Metadata
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Contracts
Contractor's Name
Darkhorse Emergency LP
Approval Date
6/18/2025
End Date
12/31/2026
Department
Finance
Department Project Manager
Bert Cueva
Subject / Project Title
Community Risk Assessment & Standards of Cover
Tracking Number
0004862
Total Compensation
$114,000.00
Contract Type
Agreement
Contract Subtype
Professional Services (PSA)
Retention Period
6 Years Then Destroy
Imported from EPIC
No
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<br />● Response: Our living Standards of Cover tool that allows for <br />monitoring key performance indicators, deep data <br />exploration and root cause analysis, and predictive station <br />planning and resource optimization. <br />● Risk: Our living Community Risk Assessment tool that <br />brings together over 50 clean and validated datasets into <br />one consolidated view of risk in your community. Aligned to <br />CPSE, it meets all the needs for accreditation and continued <br />actionable decision making. <br />Unlike generic business intelligence tools, our software <br />incorporates fire-specific algorithms developed through academic <br />research and refined through real-world application, enabling <br />departments to visualize performance, test deployment scenarios, <br />and make data-driven decisions with unprecedented accuracy. <br />These tools have been recognized as best practices by the Western <br />Fire Chiefs Association and align with NFPA and CFAI frameworks. <br />These tools have been successfully adopted by major metropolitan <br />cities including Toronto, Vancouver, Spokane, Raleigh and <br />numerous other fire departments across North America. <br />Finally, our data visualization work has received multiple global <br />awards and has been highlighted in national data projects <br />involving research partners like Harvard, Brown University and <br />Texas A&M. Most notably, our modeling predictions have <br />consistently matched real-world outcomes within 1% accuracy <br />when clients implement our recommendations. <br />8 <br />The Darkhorse Platform <br />Risk Diagnostics Deployment HQ <br />
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