Digital transformation through automation, AI, and custom software
Viaflow combines design, process automation, and AI to drive business transformation for mid-market companies. The stack—Java, Spring, Node.js, Kafka, Kubernetes, and Vertex AI—reflects a backend-heavy architecture built for event-driven systems and ML deployment. Engineering-led hiring (7 of 9 open roles) paired with active projects around event architectures and ML model deployment signals aggressive investment in automation and AI capability at a company founded over two decades ago.
Viaflow is a digital transformation consultancy and software factory operating from Thailand with a Brazilian hiring footprint and a 51–200 person team. The firm delivers custom software, process automation (RPA, BPM, document capture), and AI-driven solutions to enterprise clients. Their methodology integrates design thinking, software development, data engineering, and automation. The company handles end-to-end engagements—from strategy and design through implementation and ongoing support—positioning themselves as advisors rather than transaction vendors.
Core languages: Java, Node.js, Python, TypeScript. Databases: PostgreSQL, MongoDB, DynamoDB. Messaging: Kafka, RabbitMQ, GCP Pub/Sub. Cloud: AWS (Lambda, RDS, API Gateway), GCP (Vertex AI). Frontend: React, Angular, Bootstrap. DevOps: Docker, Kubernetes, Git.
Current focus areas include building AI interfaces, designing event-driven architectures, deploying ML models on Vertex AI, and hyperautomation initiatives. Core challenges center on modernizing legacy systems to SaaS, making AI accessible, and scaling event-driven solutions.
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