Quality & methodology
Kaelio applies clinician-authored ground truth and auditable production controls to physician-generated and de-identified real-patient data. Quality is designed for the intended training, post-training, or evaluation use of each clinical data program.
Each case is an interactive environment with an initial presentation, a hidden ground-truth state, and faithful transitions for every clinically sensible action across history, examination, investigation, treatment, and referral. If a model acts outside the authored space, the authoring physician adjudicates the step and folds it back in.
Every rubric criterion is written and checked by multiple independent physicians, with an error taxonomy that separates reasoning-process failures from factual and safety ones, each carrying a severity grade.
Held-out splits and inter-rater reliability targets are fixed in the data specification up front, so quality is measurable rather than asserted.
Physician-authored cases are written from scratch, with no identifiable records. Real-world data such as imaging, procedural video, or consented real cases is captured under consent, ethics approval, and de-identification. Kaelio Health is HIPAA compliant and SOC 2 compliant.
Operational diligence
Kaelio can document how contributors are qualified, how ground truth is independently reviewed, how disagreements are adjudicated, how production quality is monitored, and how accepted throughput scales during a program.
Technical diligence
Kaelio prepares complete dataset, evaluation, ground-truth, and delivery evidence for every data program. Exact results and representative materials are shared after a technical scoping conversation.
01
Exact sample counts, schemas, formats, splits, provenance, licensing, versioning, and availability.
02
Evaluation harness, current-model performance, pre-training and post-training scaling where applicable, difficulty subsets, and failure-case analysis.
03
Ground-truth audit results, inter-rater reliability, adjudication records, and generalist and specialist clinician baselines.
04
Validated weekly throughput, ramp plan, staffing model, dedicated queue owner, scalable quality control, and adversarial workforce controls.
Pack matching
Direct access
Technical packs can contain proprietary evaluation results, representative clinical records, operational controls, and benchmark-sensitive information. Direct sharing protects the data and ensures your team receives the evidence relevant to its program.
Access sequence
Model graders
On open-ended clinical answers, automated judges separate complete from incomplete responses only marginally above chance. Calibrating or replacing them takes physician rubric grades, and we produce that signal directly.
AUC 0.49-0.66
LLM judges separate complete from incomplete clinical answers only marginally above chance. Even when they agree with a clinician, they cite the same reasoning just 24.6% of the time.
Independent evaluations of LLM clinical graders, 2025 to 2026
Tell us the capability, clinical workflow, modality, and model-development stage you are working on. We will identify the relevant Kaelio data or scope a custom program with you.