Acadify provides curated, human-verified datasets needed to train models that think, code, and reason. We focus on quality over quantity, delivering expert-level SFT and RLHF data.
We deliver highly-curated datasets designed to solve specific reasoning bottlenecks in LLMs.
High-density repository-level data including complex pull request discussions, multi-file context tracking, and execution traces. Designed to train agents for autonomous bug fixing.
Subject-matter expert (SME) verified chains of thought for advanced physics, chemistry, and graduate-level mathematics.
Curated response pairs focusing on complex alignment constraints, safety guardrails, and instructional compliance.
Screenshot-to-action sequences and OCR-grounded layout analysis to train visually-aware GUI agents.
We prioritize precision. Every Acadify dataset undergoes a multi-stage verification process by domain experts to ensure zero hallucinations in the training corpus.
Data points in our reasoning suite are verified by human professionals to ensure technical accuracy and logical flow.
Coding instructions are verified by executing them against sandboxed test cases, ensuring the provided code actually works.
Common questions about our boutique data collection and quality assurance methods.