Datasets coming soon...
Train, test, and harden AI systems for real-world use
GroundTruth helps teams create high-quality training/evaluation data, uncover failure modes, and stress-test model behavior before deployment.
FAQ
Frequently asked questions
Answers to common questions about pilots, workflows, and how we engage with AI teams.
What kinds of AI systems do you work with?
We work across LLMs, multimodal systems, RAG applications, and AI products that require high-quality datasets, evaluation pipelines, or adversarial testing.
Do you support custom evaluation workflows?
Yes. We design evaluation and annotation workflows around your model, use case, policies, and risk profile rather than using one-size-fits-all templates.
Can you work with sensitive or domain-specific data?
Yes — depending on project requirements, we can structure workflows around domain-specific evaluation needs and data handling constraints.
Do you only test models, or full applications too?
We do both. In addition to model behavior, we can evaluate system-level workflows involving retrieval, tools, APIs, memory, and multi-turn interaction.
How do pilots usually work?
Pilots typically begin with a scoped problem area, a sample workflow, and a small evaluation or data-creation run to establish quality, coverage, and process fit.
What makes GroundTruth different?
GroundTruth combines operational dataset expertise with a strong focus on model failure analysis, robustness, and evaluation quality — not just task completion.
