Decision intelligence app putting GenAI in business users' hands
Aily Labs builds a decision intelligence app that brings applied GenAI to business users at enterprise scale. Its stack runs agent and retrieval tooling (LangChain, LlamaIndex, CrewAI, RAG) with LLM observability via Langfuse and MLflow, across AWS, GCP and Azure, a sign of multi-cloud enterprise delivery. Hiring skews senior and principal, and pain points center on renewals, time to value and proving business impact, so post-sale value realization is a priority.
Notable leadership hires: Business Impact Lead
Aily Labs is a privately held company founded in 2020 and headquartered in New York, NY, with 201–500 employees. It develops a decision intelligence application that embeds AI and GenAI into everyday business decision-making, including R&D decisions, for enterprise clients. The product is built on Python and FastAPI with React and React Native front ends, deployed on Kubernetes and Terraform-managed infrastructure. The company hires across Spain, Canada, Germany and Mexico, spanning engineering, sales, data, finance, research and support functions.
Aily Labs uses Python, FastAPI, React, React Native, Kubernetes, Docker and Terraform across AWS, GCP and Azure, with LangChain, LlamaIndex, CrewAI, OpenAI, PyTorch, MLflow, Langfuse, Airflow and dbt for AI and data work.
Aily Labs is hiring in Spain, Canada, Germany and Mexico, mostly for senior and principal-level roles in engineering, sales and data.
Aily Labs is driving enterprise-wide adoption of its Aily app, productizing AI/ML models and LLMs, and building AI/ML infrastructure, data pipelines and cross-domain impact tracking.
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AILY LABS's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.