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.
How a frontier AI lab cut alignment-data turnaround by 47% in one quarter.
Faced with a looming safety release, this frontier AI lab needed to scale their RLHF program 5x without compromising rater calibration. Here's how Deaimer's managed operation delivered — and what it meant for the final safety evaluation.
Read the case study →Explore by industry.
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.
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.
240M frames, zero safety regressions.
An AV company's perception team reaches commercial deployment with a multi-year partnership on LiDAR and camera annotation.
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.
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.
Multilingual civic AI across 14 languages.
How a state-level 311 deployment extended AI-powered citizen services across every language the jurisdiction serves.
Uncontaminated evals at scale.
Building a contamination-free benchmark suite for a foundation model lab's monthly capability releases.
From chatbot to enterprise copilot.
A Fortune 500 retailer's internal assistant adapts to 12 languages and 6 business units — one annotation program.
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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