AI-native process automation platform with agentic orchestration
EvoluteIQ builds an end-to-end automation platform centered on agentic mesh architecture and GenAI integration. The stack reveals a data-first engineering org: Kafka, Spark, Airflow, and Flink power real-time and batch pipelines, while Python, FastAPI, and containerization (Docker/Kubernetes) form the backend backbone. Active adoption of LangChain and LangGraph signals aggressive AI agent development. Hiring is engineering- and data-heavy with senior-level focus, concentrated in India, and includes a dedicated Python Lead—indicating deep investment in data infrastructure and ML model deployment.
Notable leadership hires: Python Lead
EvoluteIQ is a Stockholm-based automation platform company founded in 2019, operating with 51–200 employees. The product enables enterprises to build self-healing, adaptive automation workflows that improve over time through embedded decision intelligence and real-time data adaptation. The technical foundation combines process orchestration with GenAI capabilities, low-code tooling, and extensive connector libraries for systems integration. Core projects span GenAI/ML integration, real-time data pipelines, microservices architecture, and scalable data lakes—reflecting a platform designed to handle both batch and streaming workloads at enterprise scale. The company is addressing scaling challenges across data throughput, latency, and cost optimization.
Core: Python, FastAPI, Flask, Django, React, Angular, Vue, Docker, Kubernetes. Data: Kafka, Apache Spark, Airflow, Flink, Snowflake, Redshift. Cloud: AWS, GCP, Azure. Actively adopting LangChain, LangGraph, Hugging Face for GenAI.
GenAI/ML integration, real-time and batch data pipelines, microservices architecture, scalable data lakes, and low-code hyperautomation platform development. Current focus includes throughput/latency optimization and cost reduction.
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