Datumo - 2026 Pricing, Features, Reviews & Alternatives

Datumo is a cloud-based, all-in-one AI data platform designed for AI development teams, research institutions, and enterprises building or operating LLM-based services. The platform spans the full AI data lifecycle, including crowdsourced data collection, annotation, quality assurance, dataset analysis, and end-to-end LLM evaluation. Industries served include e-commerce, financial services, healthcare, legal, education, autonomous driving, telecommunications, and national defense. The platform has served over 200 companies and organizations, including large corporations and academic research groups.

The LLM evaluation module (Datumo Eval) automates the generation of domain-specific question datasets from uploaded documents, supporting over 1 million test questions generated automatically. Evaluation modes include Judgment Eval, Quantitative Eval, and Human Eval, with built-in and configurable metrics covering safety, RAG quality, and factuality. Auto red-teaming automatically generates adversarial attack strategies to detect safety vulnerabilities at scale. Claim-level factuality decomposition enables granular accuracy assessment in RAG systems. Agentic multi-LLM collaboration handles question generation and scoring within a single workflow. The data collection and labeling infrastructure combines a crowdsourcing platform with 245,000+ registered workers, in-house voice recording booths, annotator workspaces for high-complexity projects, bounding box annotation with guide-box IoU consistency controls, and semi-automated labeling via data augmentation.

The dataset analysis module (Datumo Scope) provides visualization-based analysis through feature vector generation, feature space visualization, data distribution graphs with metadata and model metric overlays, and queryable data filtering. A Dataset Store offers paid and free licensed datasets across multiple domains, supported by an AI Dataset Sponsorship Program that produces free datasets in collaboration with companies and research institutions. AI consulting services include dataset analysis using the Feature Space Tool, prototype modeling, and AI model proposal and feasibility estimation. In-house facilities are available for high-security or high-complexity annotation projects requiring controlled environments.