codebase-specific rl: fine-tuning llms for generating unit tests that boost coverage
how codebase-specific rl fine-tuning enables smaller, specialized ai models to significantly outperform general-purpose models at generating impactful unit tests.
use reinforcement learning to fine-tune models that beat frontier systems on cost, latency and accuracy — optimized for the exact product outcomes you care about.
get in touchwith cgft, you don't need a ml phd to do frontier rl. you focus on building tools for your agent & the user outcomes you want to drive. we bring the algorithms, infrastructure & the latest fine-tuning research.
our platform gives you:
we've partnered with teams building vertical-specific agents across marketing, chip design, education, and more - seeing 2–3× accuracy gains with 8B–30B parameter models.
common workloads we supercharge include:
if this sounds like what you're building, we'd love to talk!