S46 connects AI labs and applied teams with a trained bench of model-training specialists for evaluations, RLHF, fine-tuning data, and red-teaming. No marketplace noise. Just people who have done the work.
We field small, senior teams that plug directly into your workflows and tooling. Every project is scoped up front and managed end to end.
Human evals designed and run by calibrated raters: rubric development, side-by-side comparisons, capability and safety assessments, and error analysis your researchers can act on.
High-agreement preference rankings and reward-model data from experts trained in comparative judgment, not crowdworkers guessing at a rubric.
Gold-standard demonstrations, expert-written completions, and domain-specific corpora for supervised fine-tuning. Everything is reviewed and QA'd before it reaches your pipeline.
Structured probing for failure modes: jailbreaks, edge cases, domain-specific harms, and the long tail of behaviors automated testing misses.
Marketplaces optimize for volume. We optimize for the quality of the fiftieth hour of work, when calibration and consistency are what actually move your metrics.
Every expert on the bench completes hands-on training before touching a client project: annotation tooling, rubric calibration, model comparison, and quality review.
We know every person we place. The bench stays deliberately small, so agreement rates stay high and you never wonder who is behind the labels.
S46 handles staffing, calibration, QA, and throughput reporting. You get a single point of contact and data you can trust, not a dashboard of freelancers to manage.
Because the bench is trained in advance, we can scope a project and field a team in days, then scale up or wind down as your roadmap shifts.
A sample of recent projects. Details are anonymized to protect client confidentiality.
Designed and ran a human evaluation suite covering valuation, three-statement modeling, and market analysis. Calibrated experts graded outputs side by side and produced an error taxonomy that fed directly into the next training cycle.
Built a supervised fine-tuning corpus of expert-written walkthroughs across revenue recognition, consolidations, and multi-jurisdiction tax treatments. Every item was drafted and reviewed by credentialed accounting professionals.
Probed a production finance assistant for hallucinated figures, unsupported investment claims, and GAAP/IFRS misstatements. Delivered a prioritized failure-mode report with reproducible prompts for the engineering team.
Our specialists come from research, industry, and professional practice. They are selected for judgment, then trained for data work.
Paid project work on frontier AI systems. We provide the training, match you to projects in your domain, and handle the logistics. You bring the judgment.
Whether you need a standing eval team or a one-off data sprint, we'll scope it with you and field the right people.
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