AI and digital health platform for pharma, biotech, and healthcare enterprises
Newpage Solutions builds AI-powered digital health platforms for life sciences enterprises, with heavy investment in generative AI infrastructure (LangChain, LlamaIndex, vector databases, LLMs) and agentic systems. The tech stack reveals a company pivoting toward production-grade RAG and multi-modal AI workflows—a shift underscored by hiring velocity accelerating toward senior engineers and staff-level roles. Pain points (transforming AI research into production, complex enterprise data landscapes) map directly to their project focus on moving AI from research to deployment at scale.
Newpage Solutions is a technology services firm serving pharmaceutical, biotechnology, and healthcare organizations. Founded in 2012, the company operates globally across 27+ countries with a distributed team spanning 13+ nations. Core offerings include AI-based analytics, digital health platforms, campaign enablement services, and custom software development—delivered through a proprietary backend platform (Accel) that reduces time-to-market for healthcare applications. The company has shipped 200+ projects and holds expertise in patient engagement, genomics, bioinformatics, and clinical companion apps. Remote-first operating model with hiring activity concentrated in engineering and data roles.
Newpage uses GPT, Claude, Gemini, and open-source frameworks including LangChain, LlamaIndex, and Semantic Kernel. Vector databases include Pinecone, Chroma, and Weaviate. They also employ pgvector, Elasticsearch, and Solr for search and indexing across AI workflows.
Primary focus areas: retrieval-augmented generation (RAG) implementation, generative AI and agentic applications, multi-modal workflows, cloud infrastructure, and scalable campaign enablement. Secondary work includes process automation, cross-platform integration, and observability systems.
Other companies in the same industry, closest in size