SAP services and AI/ML development for enterprise and biotech
AquSag is a 51–200-person development and consulting firm split between two operational tracks: a large SAP practice (FICO, MM, SD, Analytics) handling production systems and change management for enterprises, and an emerging AI/ML group actively building training datasets, model testing infrastructure, and genomics tools. The hiring velocity is accelerating (63 of 69 open roles posted in the last 30 days), with headcount pulls across engineering, data, and research—suggesting a deliberate shift toward AI-adjacent work alongside the core services business.
Notable leadership hires: Strategic Project Lead
AquSag Technologies, founded in 2011 and headquartered in Middletown, Delaware, is a privately held software development and digital transformation consulting firm. The company operates a blended service model: SAP system integration and ongoing production support for manufacturing, logistics, healthcare, and finance sectors, paired with custom software, mobile development, and cloud migration work. A parallel team is building internal AI/ML capabilities around training data, model evaluation, and domain-specific tooling (including CRISPR design evaluation for biotech). The firm maintains offices in the US and India to support distributed project delivery.
Core enterprise systems: SAP (FICO, FI, CO, MM, SD, Analytics, Fiori, ABAP). AI/ML: Python, PyTorch, TensorFlow, Hugging Face, MLflow, Vertex AI. Cloud: AWS, GCP, Azure. Backend: Java, Node.js, FastAPI. Frontend: React, Angular, JavaScript.
AI training initiatives, dataset generation, model testing, genome design tooling evaluation, GraphQL/REST endpoint optimization, and SAP production support—with active pain points in data pipeline efficiency, database performance, and lab automation.
AquSag 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.