Data and AI engineering for enterprise cloud migrations and legacy modernization
Bilvantis builds unified data platforms and AI acceleration tools for enterprises transitioning off legacy systems. The tech stack reveals a Java/Spring-based microservices architecture deployed across GCP and AWS with Kafka for streaming and PostgreSQL/MongoDB for persistence—a classic cloud-native foundation. Active hiring is heavily weighted toward senior and lead engineers (12 of 13 roles), signaling execution velocity on complex migration projects rather than early-stage product development.
Bilvantis Technologies is a data and AI engineering firm founded in 2019, headquartered in Irving, Texas, with 201–500 employees and operations across the US, UK, and India. The company specializes in converting siloed enterprise data into actionable intelligence through cloud-native platform builds, legacy system modernization, and AI-accelerated workflows. Core service areas include mainframe-to-cloud migration (especially PowerCenter and SAS FM transitions), real-time data architectures, and proprietary tools like NeoAI (agentic assistants) and DBPilot (database modernization). ISO 9001, ISO 27001, and HIPAA certified.
Java, Spring Boot, GCP, AWS, Kubernetes, Kafka, PostgreSQL, MongoDB, Snowflake, and Databricks. Recently adopting Feedzai for fraud detection as part of legacy system replacements.
Microservices adoption, API transformation, cloud migrations from mainframe and SAS FM, real-time fraud monitoring architectures, and API-first integration with core banking systems.
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Bilvantis Technologies'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.