
Anthromind provides scalable oversight for Large Language Models (LLMs), focusing on post-training evaluation and Reinforcement Learning from Human Feedback (RLHF). They help companies generate specialized data for evaluation or fine-tuning, enabling models to become domain experts and improve accuracy, reliability, and safety. Anthromind offers a systematic evaluation process, customizable fine-tuning for specific industries, and supports AI projects from data creation to expert evaluations. Their business model appears to be a managed service at scale, with transparent, project-based pricing.

Anthromind provides scalable oversight for Large Language Models (LLMs), focusing on post-training evaluation and Reinforcement Learning from Human Feedback (RLHF). They help companies generate specialized data for evaluation or fine-tuning, enabling models to become domain experts and improve accuracy, reliability, and safety. Anthromind offers a systematic evaluation process, customizable fine-tuning for specific industries, and supports AI projects from data creation to expert evaluations. Their business model appears to be a managed service at scale, with transparent, project-based pricing.
Focus: Scalable oversight and post-training data services for LLM evaluation, RLHF, and fine-tuning
Founded / HQ: 2023; San Francisco, California (per Crunchbase)
Business model: Fully managed, large-scale data curation with SLAs, API integration, and dedicated project management
Funding: Pre-Seed; investor listed: Right Side Capital Management
Team size (public): 1–10 employees (per Crunchbase)
LLM post-training oversight: evaluation, supervision/alignment, RAG evaluation, and RLHF/data generation for fine-tuning.
2023
Information technology (AI / data services)
“Right Side Capital Management (investor in Pre-Seed round)”