AfterQuery

Founded 2024

Create custom training datasets for AI model fine-tuning and research.

Cost

Demo

Rating

★ Mixed Reviews

Time to value

Requires Expertise

You can use AfterQuery to create high-quality training datasets for AI models through expert-crafted data solutions. The service provides supervised fine-tuning pairs, reinforcement learning environments, and computer use demonstrations. You get access to chain-of-thought reasoning examples, grading rubrics for code generation, and custom API-based environments. The data helps train AI models for better reasoning, instruction following, and computer interface navigation. AfterQuery works with domain experts to build datasets that improve model performance beyond standard synthetic or web-scraped data.

What AfterQuery does

Create supervised fine-tuning pairs with expert responsesDesign grading rubrics for AI reasoning task evaluationBuild custom API environments for agent trainingRecord computer use demonstrations for interface navigationGenerate chain-of-thought examples for model trainingDevelop test cases for code generation evaluationCreate multimodal understanding training datasetsSet up automated grading systems for AI model performanceCreates supervised fine-tuning conversation pairs for AI trainingProvides expert-designed grading rubrics for reasoning tasksBuilds custom API and MCP-based reinforcement learning environmentsRecords computer use trajectories across browser and desktop interfacesCollaborates with researchers from Berkeley, Stanford, and Allen InstituteCovers agentic reasoning and multimodal understanding use casesOffers automated grading for training environmentsDelivers chain-of-thought reasoning examples for better AI responses