See every engineer's strengths, track skill development in
real-time,
and make data-driven decisions about who builds what.
Which engineers know your authentication system? Who's ready for that senior promotion? You're guessing based on PR reviews and gut feel.
That critical project needs the right people. But who actually has the skills? You're betting months of work on instinct.
Engineers leave. Knowledge walks out. You don't know what you've lost until something breaks and nobody can fix it.
A layered intelligence system that transforms engineering work into actionable insights
Every question an engineer asks, every task they complete - Convene builds a live map of who knows what. No more guessing who's the Kubernetes expert or who understands the payment flow.
New project? Convene analyzes the requirements and suggests the best team composition based on actual demonstrated skills - not job titles or rΓ©sumΓ©s.
Forget annual reviews with vague feedback. See exactly how each engineer is progressing.
Identify high performers early. Spot struggling engineers before they churn.
Traditional metrics tell you what was built.
Convene tells you who can build what next.
Visualize knowledge concentration. See that your entire authentication system knowledge lives in two engineers' heads - before one gives notice.
Drop in a project spec. Get AI-powered team recommendations based on proven skills, not assumptions.
Track how fast engineers are growing. Identify mentorship opportunities. Spot flight risks.
Know exactly what happens if any engineer leaves. Plan knowledge transfer before it's urgent.
Automatic, real-time skill profiles for every engineer. Understand who knows what - always current, never manual.
Input project requirements, get team recommendations based on proven skills and learning trajectories.
Monitor skill acquisition velocity, task complexity progression, and learning patterns for each engineer.
Identify single points of failure - critical knowledge concentrated in one engineer - before it becomes a crisis.
Track knowledge transfer effectiveness. Plan for departures before they're announced.
Objective data for reviews, promotions, and coaching. Evidence-based people decisions.
Start small, scale as you grow
Average engineering team: 50 engineers at $150K each = $7.5M payroll
Join engineering leaders who are making data-driven decisions about their teams