Data engineering and AI modernization for enterprise legacy systems
Bilvantis is a data and AI engineering firm focused on cloud migrations and legacy-system overhauls for mid-market and enterprise clients. The tech stack—Databricks, Spark, Kafka, Airflow, plus GCP/AWS/Azure—reflects a platform-engineering approach to data transformation. Hiring velocity is decelerating while the org skews toward lead and senior roles in engineering and data, suggesting project-driven staffing rather than growth-stage expansion; active projects center on CI/CD for ML pipelines, infrastructure-as-code, and fraud-detection models, signaling deep engagement with operational DevOps and real-time analytics rather than product development.
Notable leadership hires: AI Practice Head
Bilvantis Technologies designs and implements data and AI systems for enterprises transitioning from legacy infrastructure to cloud-native platforms. The firm operates across the US, UK, and India with roughly 200–500 employees and is ISO 9001, ISO 27001, and HIPAA certified. Core service areas include unified data-platform architecture (built on Snowflake, Databricks, SnapLogic), legacy ETL modernization (particularly PowerCenter-to-cloud migrations), mainframe data integration, and AI solution acceleration—including in-house accelerators for agentic assistants, database modernization, and voice-first interfaces. The pain-point list emphasizes cloud-spend optimization, test-coverage gaps, and real-time fraud monitoring, typical for large-scale platform migrations.
Bilvantis uses Databricks, Apache Spark, Kafka, Airflow, AWS, GCP, and Azure for data platforms; Java, Python, React, and TypeScript for application layers; and Git, Jira, Terraform for DevOps. Adopting Power BI and Feedzai for analytics and fraud detection.
Bilvantis Technologies is headquartered in Hyderabad, Telangana, India. The firm operates offices across the US, UK, and India.
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