What benchmarks or case studies exist?
Cosine has demonstrated proven results across real-world enterprise deployments and benchmarks — improving PR completion time by 40% and outperforming comparable code reasoning models.
Cosine has demonstrated proven results across real-world enterprise deployments and industry benchmarks. Customers consistently report major gains in productivity, backlog reduction, and engineering throughput.
Key performance benchmarks
Internal productivity benchmarks
Cosine’s own engineering team uses the platform extensively, providing real-world validation of its capabilities.
1,900+ pull requests merged since June using Cosine.
Average PR completion time cut by 40% compared to manual workflows.
Backlog items resolved autonomously with minimal human intervention.
SWE-bench and code intelligence performance
Cosine’s underlying model, Genie, has demonstrated strong results on SWE-bench and related code reasoning tasks — outperforming comparable open-weight and closed-source models in end-to-end code comprehension and bug resolution accuracy.
Note: Cosine’s benchmarks focus on real-world task outcomes (validated pull requests and test success rates) rather than static code-completion scores.
Enterprise case studies
Global investment bank — On-premise deployment
A leading global bank deployed Cosine on-premise to automate maintenance and feature work across its internal trading systems.
30% of backlog cleared in the first month.
Average time-to-merge reduced by 45%.
Deployment passed stringent internal InfoSec reviews with zero exceptions.
Defence technology company — Secure code refactoring
A defence contractor integrated Cosine in a fully air-gapped environment, using it for large-scale code refactors and documentation generation.
Reduced manual refactoring effort by 60%.
Improved test coverage by 20 percentage points.
Enabled continuous updates without exposing code externally.
SaaS provider — Developer velocity boost
A mid-size SaaS company connected Cosine to Jira and Slack for automated PR creation and backlog cleanup.
Resolved hundreds of small issues in under an hour.
Increased engineering throughput by 50% in the first quarter.
Expanded adoption to multiple teams within weeks.
Outcomes across pilots
Cycle time reduction
20–40%
PR throughput
+60%
Backlog reduction
30–40%
Test coverage
+15–25 pts
Deployment time (cloud)
<10 minutes
These metrics are consistent across Cosine’s internal use and customer pilots in financial services, SaaS, and defence.
Why this matters
Benchmarks are only meaningful when they reflect real production outcomes. Cosine’s results are validated not by synthetic tests, but by merged pull requests, reduced cycle times, and improved developer velocity in real engineering environments.
Related pages
→ Next: How does Cosine support enterprise security and compliance?
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