Supervised fine-tuning datasets
Produces high-quality prompt-response pairs and chain-of-thought demonstrations for supervised fine-tuning, helping models learn task behavior before reinforcement learning.
AfterQuery
Freemium
Laboratorio de investigación aplicada que crea datos de entrenamiento y entornos de evaluación para modelos fundacionales.
¿Qué es AfterQuery?
AfterQuery is an applied research lab focused on curating data solutions for foundation model development. Its public positioning centers on capturing how experts think, then turning that reasoning, judgment, and workflow behavior into training data that models can learn from.
The company’s offerings span supervised fine-tuning data, reinforcement learning signals, agent environments, computer-use trajectories, and custom datasets for enterprises. The site also frames the work around research into where models fail in real professional contexts, so datasets and environments are designed around those failure modes rather than generic outputs.
¿Qué puede hacer AfterQuery?
Rubric and verifier-based RL
Combines expert-written rubrics with automated verifiers to score outputs in reasoning, code generation, and instruction-following tasks.
Tool-calling environments
Builds custom RL environments on top of APIs, MCP servers, and developer tools so models can practice tool use and recover from errors in workflow-like settings.
Computer-use and browser-use trajectories
Pairs browser and desktop environments with human-demonstrated trajectories to train agents on multi-step software tasks.
Enterprise data solutions
Creates custom datasets and consulting engagements for enterprises, including vertical-specific AI work and end-to-end agent deployment.
Domain-specific training coverage
Covers professional domains, deep research, multimodal tasks, code generation, and loss analysis to target specific model gaps.
Casos de uso
“Foundation model training”
Teams building foundation models can use expert demonstrations, preference signals, and verifier-backed training data to improve reasoning and instruction following.
“Enterprise AI programs”
Enterprises can commission custom datasets and vertical-specific consulting to address domain-specific model gaps and implementation challenges.
“Agent development and evaluation”
Product teams working on agents can train and evaluate tool use, error recovery, and workflow execution in API, MCP, browser, or desktop environments.
“Failure-mode research”
Research teams can study model failure modes through loss analyses and curated datasets that target where models break down in professional settings.
“Code generation improvement”
Engineering teams can use code-generation datasets and debugging traces to improve production-oriented coding behavior and architectural reasoning.
Preguntas frecuentes
What is AfterQuery?
AfterQuery is positioned as an applied research lab that curates data solutions for foundation model development. Its public materials emphasize expert demonstrations, preference signals, environments, and evaluation data rather than a single software interface.
What kinds of data products does AfterQuery offer?
The site describes products for supervised fine-tuning, rubric- and verifier-based RL, tool-calling RL environments, computer-use and browser-use environments, RLHF, code generation, multimodal training, and custom datasets for enterprises.
Does AfterQuery work with enterprises?
The enterprise page says AfterQuery partners with organizations on custom datasets, vertical-specific AI consulting, end-to-end agent deployment, and simulation or RL environments.
Is pricing publicly listed?
The public site does not list a live pricing table on the pricing URL; that page currently shows a not-found message instead of plan details.
Datos rápidos
- Category
- AI training data / applied research
- Primary users
- Foundation model teams and enterprises
- Offerings
- SFT data, RL environments, RLHF, custom datasets, consulting
- Enterprise focus
- Custom datasets, agent deployment, simulation/RL environments
- Source domain
- afterquery.com
- Pricing page
- Currently shows a not-found message
Análisis de tráfico de AfterQuery
Los datos de tráfico son solo como referencia.
- Valoración del dominio
- 53
Alternativas a AfterQuery
Surge AI
surgehq.ai
Surge AI crea productos de datos, evaluación y entornos de aprendizaje por refuerzo para entrenar y evaluar sistemas avanzados de inteligencia artificial.
E2B
e2b.dev
E2B es una plataforma para ejecutar agentes de IA en entornos aislados, con SDK para Python y JavaScript. Ayuda a los equipos a crear flujos de trabajo de investigación, programación, análisis de datos y otras tareas con agentes en entornos de ejecución controlados.
Beam
beam.cloud
Plataforma de cómputo de IA bajo demanda para ejecutar entornos aislados, colas de tareas, inferencia de modelos personalizados y entrenamiento en GPU o CPU, con ejecución sin servidor y escalado automático.
Uniforge
leeroo.com
Uniforge es el motor de contexto empresarial de Leeroo para agentes de IA y las personas que trabajan con ellos. Conecta sistemas internos, enriquece registros con datos web, verifica la calidad de los datos y crea modelos de ML en la nube del cliente.
Cargo
getcargo.io
Infraestructura GTM para crear agentes, flujos de trabajo, herramientas y modelos de datos desde la aplicación web, la API, la CLI y Claude Code. Automatiza la investigación, el enriquecimiento, la cualificación, el enrutamiento y el contacto comercial.
Pangeanic
pangeanic.com
Pangeanic ofrece operaciones de datos de IA multilingües, alineación de modelos y diseño de sistemas de IA soberana para empresas, laboratorios de IA e instituciones públicas.