GroundTruth / Service
Expert-led model evaluations, multimodal annotation, and quality assurance for teams building and testing AI—from focused pilots to ongoing data programs.
Evaluation is our core focus. We design domain-specific test sets, expert rubrics, human scoring workflows, and failure taxonomies that show where a model succeeds, fails, or regresses. We published BFSI-Bench and are building toward continuous evaluations and live benchmarks that remain useful as models change.
Human annotation for text, images, audio, and video, shaped around your ontology, guidelines, and required output format. We help refine ambiguous instructions, train the right reviewer group, and run focused pilots before scaling into an ongoing production workflow.
Quality is designed into the workflow rather than checked only at the end. Reviewer calibration, gold-standard tasks, consensus checks, targeted audits, and clear escalation paths help catch ambiguity and systematic errors before delivery.
If you need a custom evaluation, a benchmark, egocentric-data screening, or a reliable annotation and QA workflow, book a call or email .
