TeamingMatch AI

TeamingMatch AI identifies and ranks potential joint venture partners and sub-consultants for AEC pursuits based on capability fit, workload capacity, past collaboration history, and geographic overlap with your project. It produces a scored shortlist with fit rationale, structural recommendations (JV vs. sub vs. mentor-protégé), and a competitive overlap analysis showing where your capabilities are redundant versus complementary with each candidate.

You provide the opportunity name, project type, your firm's role and strengths, the scope areas where you need partner support, any specific certifications or set-aside requirements affecting partner eligibility, and your ideal partner profile (size range, geography, specialty trades). Optional inputs include known competitor firms to check overlap against and any past collaboration history with listed candidates.

Each candidate receives a composite fit score (0–100) based on five dimensions: discipline expertise match, project size capacity alignment, geographic coverage, workload availability (based on current project load), and past performance on shared projects. A joint venture structuring recommendation is appended — whether a JV, prime-sub arrangement, or mentor-protégé makes the most sense given the opportunity size, contract type, and set-aside constraints.

Yes. After running TeamingMatch and reviewing your ranked shortlist, you can send the top candidates directly into TeamingOutreach AI with one click or by referencing the match output. TeamingOutreach uses the same firm profiles and capability data to generate personalized 3-email sequences with fit rationale for each partner, so the outreach feels informed and specific rather than generic. The full pipeline from partner identification to first contact takes under 10 minutes.