AfterQuery lands $30M as AI labs compete for expert data
AfterQuery, a fast-growing provider of specialized training data for artificial intelligence models, has raised $30 million in new funding at a reported $300 million valuation. The round is led by venture capital firm Altos Ventures, underscoring surging investor interest in companies that can supply high-quality, expert-labeled data to major AI labs.
Rising demand for expert training data
As leading AI models become more capable, technology companies are running into a bottleneck: access to reliable, domain-specific data that can safely power applications in areas such as medicine, law, finance and enterprise software. Public web data is no longer sufficient for the next generation of large language models, pushing labs to seek curated, high-precision datasets produced by vetted experts.
AfterQuery focuses on building pipelines that connect subject-matter specialists with data annotation and evaluation workflows. By combining human expertise with internal AI tools for quality control, the company aims to deliver training and benchmarking data that meets the stricter standards of regulated and high-risk sectors.
Altos Ventures backs data infrastructure for AI
The investment from Altos Ventures positions AfterQuery as a strategic infrastructure player in the broader AI ecosystem. While model development has attracted the bulk of capital in recent years, investors are increasingly targeting the upstream layers of the stack, including data collection, annotation platforms and evaluation frameworks.
With fresh funding, AfterQuery is expected to expand its expert network, enhance its internal AI-assisted labeling systems and deepen partnerships with leading AI research labs and enterprise customers. The company is also likely to invest in stronger data governance, privacy and compliance capabilities to reassure clients operating in sensitive industries.
Competitive landscape intensifies
The round comes as a growing number of startups and established players compete to become the default supplier of high-quality training and evaluation data. As foundation models spread across sectors, control over scarce expert-generated datasets could become a crucial competitive advantage, making companies like AfterQuery central to the next phase of the AI race.