Startgate
Investment and venture platform
Faster, repeatable technical diligence with automated scoring and reporting.
The challenge
Codebase reviews were manual, inconsistent, and slow.
Evaluating startup codebases is manual, inconsistent, and difficult to scale.
Client
Startup technical evaluation at scale
Decision type
What to evaluate
The system
Decision system built
We built an automated technical evaluation system that analyses repositories and determines code quality, technical debt, architectural strength, and risk factors.
System components
Repository ingestion via OAuth
Static and structural code analysis
Scoring and benchmarking framework
Automated reporting engine
How we worked
Engagement scope
Secure repo access, analysis pipeline, scoring rubric aligned to investment thesis, and investor-ready report outputs.
Timeline
MVP on representative portfolio, then expansion of languages and quality gates.
Operating model
Investment committee and technical partners as reviewers; Ravon owns pipeline reliability and rubric evolution.
Outcomes
Business impact & measurable results
Faster, repeatable technical diligence with automated scoring and reporting.
Consistent and scalable evaluation process
Faster investment decision cycles
Reduced reliance on manual technical audits
Governance
Trust, collaboration & governance
Transparent scoring dimensions and limitations
Data handling appropriate for confidential source code
Human expert review hooks for final judgement
Reframe
Not a tool — a technical decision system.
Across every engagement, the goal is the same: engineer a system that makes better decisions — faster, more consistently, and at scale — than the process it replaces.
Insights
Related perspectives.
Start a discovery
Most engagements begin with a conversation about context.
We do not send a proposal before we understand the problem. Start by telling us about your decision context — we will identify the highest-leverage intervention areas before any scope is agreed.