Able is a New York product development firm that embeds dedicated design and engineering teams with partners. Its stack pairs LangChain, LangGraph and Claude 3.5 with a broad warehouse spread (Snowflake, BigQuery, Redshift, Databricks), reflecting client-driven tooling rather than one house standard. Senior-weighted engineering and data hiring, focused on Peru, centers on graph ETL, Kafka ingestion and PDF and chart extraction for production AI systems.
Able is a privately held product strategy and development company headquartered in New York, with 51–200 employees. It builds software for partner organizations, providing focused teams of designers and engineers who take products from launch through scaling, and it has also developed products of its own. Current work emphasizes AI and data engineering, including document processing, data pipelines and AI strategy consulting for partners. Its teams work across AWS and GCP with Terraform, Python, Airflow, Dagster and Prefect.
Able works with Python, Kafka, Apache Spark, Airflow, Dagster and Prefect, warehouses including Snowflake, BigQuery, Redshift and Databricks, AI tooling like LangChain, LangGraph and Claude 3.5, plus AWS, GCP and Terraform.
Yes. Able's hiring is accelerating and concentrated in senior and principal engineering and data roles, with recruiting focused in Peru.
Able is building graph ETL pipelines, Kafka-based ingestion, PDF and visual data extraction pipelines, prompt engineering for financial charts, and production AI systems for partner companies.
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Able'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.
