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Accelerate Research, Advance Frontiers

Turn post-training workflows into wins. Power richer data generation, deeper insights, and model gains with proprietary data, benchmarks, and frontier talent.

Evaluate Your WorkflowsExplore Sample Datasets

Choose Your Post-Training Path

Evaluate Your Model

Benchmark gaps, set success criteria, and run diagnostics.
Run Benchmarks

Generate Frontier Data

Build and scale custom data pipelines and annotation workflows.
Build Data

Optimize Your Model Performance

Accelerate iteration loops, fine-tune outputs, and deploy at scale.
Deploy Improvements

Frontier Research Contributions

Check out select contributions we’ve made to frontier model improvements. Benchmarks, datasets, and more.

See Research Contributions

Why Turing

We turn every model deployment into repeatable success with:

On-demand frontier talent

Tap into a 4M+ pool of domain-trained experts—PhDs, professors, and practitioners—ready to augment your team’s capabilities.
Dynamic user experience

Proprietary human-AI platform

Leverage our platform’s integrated RL gyms and orchestration loops to accelerate data generation, model testing, and iteration at scale.

Co-developed benchmarks

Work alongside our in-house research leads to define and surpass industry benchmark standards.

Research-grade validation

Validate improvements under real-world research conditions, ensuring robust performance and reproducibility.

Repeatable workflows

Scale a proven five-step process—from diagnostics through continuous improvement—to power consistent, high-impact results.

Proven Post-Training Orchestration

Our five-step approach turns research prototypes into production-ready models with rigor and repeatability:

1. Diagnose & Benchmark
Evaluate model gaps, set success criteria, and co-develop benchmarks with our in-house research leads.

2. Calibrate Workflows
Design custom data pipelines, annotation rubrics, and pilot processes tailored to your use cases.

3. Generate & Scale
Run initial experiments and expand human–AI loops to accelerate data generation and training coverage.

4. Validate & Fine-Tune
Embed continuous QA checks, analyze performance under real-world conditions, and refine outputs.

5. Iterate Continuously
Apply structured feedback and automated orchestration to drive ongoing model improvements at scale.

Need Frontier Data That Delivers?

Trust Turing to power richer data generation, deeper insights, and model gains.

Request Data Packs