Custom software and AI solutions for FinTech, HealthTech, and AdTech
Lineate is a 19-year-old custom software shop pivoting toward AI-driven delivery. The stack spans Go, Python, Java, and Spark for backend data work, with React/TypeScript frontend patterns—a classic enterprise consulting footprint. Current hiring is heavily weighted to senior engineers (7 of 8 open roles) across distributed Eastern European offices, paired with active projects around ML data pipelines and AI/data team formation, signaling a shift from pure custom development toward productized AI services (IDP, RAG, agentic AI).
Lineate builds custom software and AI solutions for regulated industries—FinTech, HealthTech, AdTech. Founded in 2005 and based in New York, the company serves mid-to-large enterprise clients with complex automation and data problems. Core offerings include Intelligent Document Processing (IDP), RAG framework development, agentic AI, and AI-embedded engineering consulting. The company operates across 51–200 people, with engineering concentrated in Georgia, Armenia, Serbia, Portugal, and Poland. Recent project focus areas include search relevance optimization, large-scale data pipeline work for ML, and building dedicated AI/data practices within customer organizations.
Go, Python, Java, PySpark, and Apache Spark for backend/data work; React, TypeScript, Next.js, and Redux on frontend; Elasticsearch and Solr for search; Databricks and AWS EMR for ML infrastructure; AWS, GCP, and Azure for cloud.
Search and relevance optimization, ML data pipelines, large-scale data processing, and building dedicated AI/data practice teams within customer organizations. Projects indicate a shift toward productized AI services (IDP, RAG, agentic AI development).
Lineate'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.