Full-Time
Posted on 10/31/2025
AI memory layer for enterprise data
$145k - $160k/yr
No H1B Sponsorship
New York, NY, USA
Remote
Pryon provides an AI memory layer for enterprises that uses Retrieval-Augmented Generation to manage and query large sets of internal data. It ingests unstructured content from sources like SharePoint, Google Drive, and Salesforce, then uses its own models to generate verifiable, natural-language answers grounded in the company’s trusted data. The platform can be deployed on-premises, in the cloud, or in secure air-gapped environments with implementation taking weeks. Pryon aims to help large organizations and government agencies turn unstructured data into reliable, quickly accessible knowledge to support everyday workflows and strategic decisions.
Company Size
51-200
Company Stage
Series B
Total Funding
$139.5M
Headquarters
Raleigh, North Carolina
Founded
2017
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Pryon appoints AI veteran Hamsa Buvaraghan as SVP/Head of Product to lead next generation of AI memory innovation. Google and Microsoft product veteran joins Pryon to lead company's enterprise AI memory vision and Strategy. Pryon, the pioneer in enterprise AI memory and retrieval-augmented generation (RAG) solutions, announced the appointment of Hamsa Buvaraghan as SVP/Head of Product. This strategic hire signals Pryon's aggressive push to dominate the emerging AI memory space with groundbreaking innovations planned in 2026 and beyond. Buvaraghan brings over 20 years of product and strategic leadership experience in AI and cloud technologies. Previously, she led AI Product Management and Strategy at Google, for multi-billion-dollar portfolios across Google Cloud's AI/ML platforms, databases, and ML infrastructure. At Google, she pioneered several foundational AI/ML services, translated DeepMind research into successful enterprise products, and developed Google Cloud's first Inference TPU. Prior to Google, she served as Product Management & Strategy Leader at Microsoft, where she led the vision and launch of Azure Analytics across multiple platforms. Earlier in her career, she also held global product leadership position at SAP where she spearheaded the launch of SAP HANA Cloud Platform Analytics & AI services, driving 171% ROI and boosting cloud revenue by 40%.
NEW YORK, July 3, 2025 /PRNewswire/ - Pryon, the definitive leader in enterprise AI memory solutions, today announced its recognition as the "AI Data Management Solution of the Year" in the prestigious 8th annual AI Breakthrough Awards.
Pryon is a leading generative artificial intelligence service provider. The company secured a reputation for quality due to its product's simplicity and accuracy. Today, the firm provides enterprise clientele with reliable AI-powered search features that enable companies to unlock data volume efficiently. Pryon's positioning and unique feature set continue to drive demand for the company's stock. Notably, the company is privately held. If the company were to go public, it would have strong support from both the institutional and private investment sectors.Despite this demand, Pryon has not officially shared plans to host an IPO anytime soon
Pryon today announced the launch of its Pryon Ingestion Engine and associated SDK, an Extract, Transform, and Load (ETL) solution designed to unlock business value from unstructured data.
New solution converts data from diverse sources containing multimodal content into machine-readable data for AI applicationsRALEIGH, N.C., July 25, 2024 /PRNewswire/ -- Pryon today announced the launch of its Pryon Ingestion Engine and associated SDK, an Extract, Transform, and Load (ETL) solution designed to unlock business value from unstructured data. Leveraging Pryon's powerful, proprietary document processing models and pipelines, the new solution converts unstructured data—from various document types and formats—into machine-readable data, ensuring accuracy and usability for AI applications.Data holds tremendous business value for enterprise, yet much of it remains trapped in unstructured formats, in large volumes and across diverse sources. Fragmented data not only limits data access but also compromises quality and AI model performance. Processing unstructured data also requires significant effort and consumes a substantial amount of data engineers' time, impacting operational efficiency and overall innovation."Enterprises sit on troves of valuable knowledge, but it is often scattered across various locations, formats, and levels of quality. Unifying this information into a coherent, machine-readable form is a significant challenge," said Chris Mahl, President and COO, Pryon. "Our ingestion solution and SDK transforms mountains of unstructured data within an organization into a unified, structured format, enabling enterprises to build and deploy AI applications."Pryon's Ingestion Engine and SDK leverages cutting-edge filetype handling, layout analysis, OCR (Optical Character Recognition) and Handwritten Text Recognition (HTR), and semantic segmentation to extract critical insights from unstructured documents