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Real teams, real results.

How AI teams across foundation labs, enterprise, autonomy, and healthcare actually use Deaimer — numbers, tradeoffs, and lessons learned, in their own words.

ALL CASE STUDIES

Explore by industry.

All Foundation Models Enterprise Autonomous Healthcare Public Sector
FOUNDATION8 min read

Scaling RLHF for a frontier lab's safety release.

From 200 raters to 1,000 in six weeks without degrading agreement rates. Inside the calibration discipline that made it possible.

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ENTERPRISE6 min read

Building a legal AI copilot from zero to production.

How a leading law firm partnered with Deaimer to produce 40,000 attorney-authored training pairs — and shipped in 14 weeks.

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AUTONOMOUS10 min read

240M frames, zero safety regressions.

An AV company's perception team reaches commercial deployment with a multi-year partnership on LiDAR and camera annotation.

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HEALTHCARE7 min read

Radiologist-grade annotation for FDA clearance.

How a medical imaging AI startup built a 510(k)-ready dataset with multi-reader adjudication across 8 anatomical regions.

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ENTERPRISE5 min read

Turning a RAG system from 58% to 91% groundedness.

A B2B SaaS company's customer-facing RAG went from pilot failure to production success with relevance data done right.

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PUBLIC SECTOR9 min read

Multilingual civic AI across 14 languages.

How a state-level 311 deployment extended AI-powered citizen services across every language the jurisdiction serves.

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FOUNDATION11 min read

Uncontaminated evals at scale.

Building a contamination-free benchmark suite for a foundation model lab's monthly capability releases.

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ENTERPRISE6 min read

From chatbot to enterprise copilot.

A Fortune 500 retailer's internal assistant adapts to 12 languages and 6 business units — one annotation program.

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AUTONOMOUS7 min read

Warehouse robotics at 99.7% pick accuracy.

A logistics automation startup reaches commercial grade on manipulation tasks through iterative label improvement.

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