Airstride’s AI scans thousands of potential partners, scores them by fit and surfaces the best matches based on your ICP, tech stack, and business model
Traditional partner discovery is slow, expensive, and rarely finds the RIGHT partners. Here’s what’s broken:
From defining your Ideal Partner Profile to booking meetings — fully automated
Define what makes an ideal partner by adjusting business signals like service offerings, target industries, tech stack alignment, and geographic presence. Allocate point values to each criterion based on importance.
82-point scoring system across 9 criteria
Customizable weights for each business signal
Organization-wide settings for consistency
Our system automatically sources and analyzes hundreds of potential partners, then organizes them into Gold, Silver, and Bronze tiers based on your fit scoring criteria. Filter and search to find exactly what you need.
Gold partners
Silver partners
Bronze partners
View comprehensive partner information including bio, industry tags, company profile, and detailed fit score breakdown. Access researched contact information and take immediate actions.
Fit score with detailed breakdown
Pre-researched key contacts via Apollo
Website, LinkedIn, and company insights
AI creates a detailed partnership proposition highlighting key synergies, target markets, and go-to-market strategies specific to your company and the potential partner. Understand the "why" behind every partnership.
AI-generated complementary strategies
Key synergies and target market alignment
Editable and shareable propositions
Reach key contacts via LinkedIn or email with AI-generated, context-aware messages. Carmen crafts professional outreach that highlights mutual value and gets responses.
Multi-channel outreach: LinkedIn + Email
AI-generated personalized messages
Professional tone with mutual value focus
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Talk to SalesAirstride’s AI uses machine learning trained on millions of successful B2B partnerships to identify fit. It analyzes your ICP criteria, then scans our database of 85,000+ enriched company profiles for matches. The algorithm considers 50+ data points including tech stack, customer segment, geography, funding stage, hiring signals, and complementary product positioning. When it finds high-confidence matches, it ranks them by fit score and surfaces them in your dashboard with actionable next steps.