Expert Custom Data Built for Frontier Standards

Structured datasets for edge cases and emerging research needs. Start with sample data to validate fit before scaling to a full dataset.

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Expanding beyond predefined categories

Turing’s custom data packs address frontier research needs that extend beyond today’s established domains. These datasets are co-designed for novel capabilities, emerging modalities, and edge-case workflows. We scope and generate datasets for novel domains, emerging modalities, or unique workflows using the same R&D standards and QA processes that underpin our catalog packs.

Examples of custom data directions

Each custom pack begins with a scoped sample dataset built against your research priorities.

Novel Modality Data

Support for emerging modalities beyond current catalog, such as haptics or new sensor streams.

Industry-Specific Edge Cases

Datasets tailored to unique research needs in sectors like energy, aerospace, or advanced manufacturing.

Experimental Research Workflows

Custom evaluation or training datasets built for untested agentic or multimodal pipelines.

Standards trusted by frontier AI labs

Accelerate new frontiers of capability in your LLM

R&D-driven standards

Criteria and taxonomies aligned with research use.

Transparent, auditable pipelines

Trace every data point end-to-end.

Elite, domain-specific talent

PhDs, Olympiad-level specialists, and vetted SMEs.

Human-in-the-loop + AI feedback loops

Combined review to catch edge cases and ensure reproducibility.

Accelerate new frontiers of capability in your LLM

Talk to our experts and explore how Turing can accelerate your edge-case or custom research needs.

Ready to expand your model capabilities with expert data packs?

Get data built for post-training improvement, from SWE-Bench-style issue sets to multimodal UI gyms.

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