Make confident bid decisions in minutes, not days. Our ML-powered Pwin model analyzes 20+ factors across Federal, State, and Local opportunities to deliver accurate win probability assessments and automated go/no-go recommendations.
20+ factors weighted and analyzed by machine learning to predict your probability of winning
Based on current opportunity data
Four integrated analysis modules for comprehensive bid decisions
Machine learning model trained on 1,000+ historical Federal, State, and Local bids to predict win probability with 92% accuracy.
Evaluate alignment with your company's strategic objectives, core capabilities, and growth targets.
Calculate the full cost of pursuing: B&P investment, staffing needs, teaming costs, and resource allocation.
Automated decision recommendations based on your configured thresholds and business rules.
Clear, data-driven recommendations: GO or NO-GO
Pursue this opportunity
Pass on this opportunity
Gray Zone (35-50% Pwin): Detailed review required. AI provides analysis, but leadership makes final call based on strategic considerations.
How Phase 2 transforms your bid decisions
Before: 2-day bid/no-bid meetings with 8 stakeholders, endless debate, delayed decisions.
After: 15-minute review of AI analysis. 95% faster decisions.
Before: Industry-level performance (~4% win rate) and chasing too many marginal opportunities.
After: ~22% win rate by focusing on high-Pwin opportunities and qualified bids. 5.5x improvement.
Before: $2.3M/year wasted on losing bids (15 no-bid decisions made too late).
After: Save $2.3M by making no-go decisions in Phase 2. 100% cost avoidance.
How Bid/No-Bid Decision multiplies your business development effectiveness
6hrs → 8min
Generates Pwin analysis in 8 minutes vs 6 hours of manual evaluation and stakeholder meetings
67% Fewer Bad Bids
Data-driven GO/NO-GO framework eliminates gut-feel decisions and marginal pursuits
3.2x Portfolio ROI
Focus resources on high-Pwin opportunities - improves win rate from 4% to 22%
