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.

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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.

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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.

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Outcomes across pilots

Metric	Average Improvement
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.

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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.

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Related pages

• How do we contact sales / request a demo / start a trial?

• ROI — what outcomes should we expect?

• How does Cosine work?

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