Impelsys Strengthens AI Transformation Strategy with AlgoShack Partnership
Impelsys, a global leader in technology solutions, is pleased to announce its strategic partnership with AlgoShack, a company that offers algoQA—a unified platform for end-to-end test automation...
Our mission is to move beyond static AI tools, to deliver living systems that think, learn, and collaborate, empowering enterprises to transform data into decisions, decisions into action, and action into innovation.
We help organizations unlock the power of Agentic AI through intelligent systems built on Small and Large Language Models (SLMs & LLMs), AI Agents, and vector databases. Our solutions enable autonomous agents to reason, act, and adapt with contextual memory and advanced machine learning, while keeping humans firmly at the helm.
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AI is transforming healthcare data integration by replacing manual, error-prone methods with intelligent...
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As artificial intelligence (AI) becomes central to enterprise transformation agendas, the importance of...
Faster Decision-Making
Reduction in Manual Effort
Faster Product Development Cycles
Availability of Smart AI Assistants
Impelsys enables publishers to reimagine the content lifecycle with AI-powered modules that enhance creation, streamline workflows, personalize delivery, and monetize content. These solutions are built with ethical AI, guardrails, and a human-in-the-loop approach.
Impelsys empowers healthcare providers and life sciences organizations with AI-enabled solutions designed to optimize data use, enhance decision-making, effectively manage clinical data and improve healthcare delivery.
Impelsys empowers institutions to deliver modern, personalized learning experiences with AI-enabled tools that adapt to diverse learner needs and evolving digital demands.
Our AI COE fuels innovation with expertise in Retrieval-Augmented Generation (RAG), fine-tuning, and advanced model engineering to deliver scalable and future-ready solutions.
We design adaptive, autonomous AI systems with built-in guardrails and a human-in-the-loop, ensuring responsible innovation and measurable impact.
We help organizations rapidly scale AI capabilities with the right talent mix through structured bootcamps and targeted hiring.
Continuous learning and knowledge transfer empower enterprises to build sustainable in-house AI expertise.
Every initiative is built with robust privacy safeguards and compliance frameworks to ensure trust and regulatory alignment.
From personalized recommenders to adaptive content and domain-specific automation, we deliver solutions aligned with industry needs and client goals.
A global leader in research and learning with over 200 years of publishing expertise, the client needed to overcome large-scale translation and research challenges to better serve worldwide audiences. They sought scalable solutions to translate nearly 30,000 titles into six Asian languages, ensure terminology and contextual fidelity, automate quality checks, and enable intelligent, ready-to-publish learning support through seamless platform integration. Impelsys delivered scalable multilingual translation and personalized learning support on the mon’k platform through its AI Translation and AI Tutor solutions.
A leading global publisher of scholarly content, serving researchers, universities, and libraries worldwide with over 2,500 journals and 5,000 new books annually. They needed a solution that could provide 24/7 support, instantly streamline document search, and reduce the burden on HR and customer service teams across multiple geographies and digital channels. Impelsys created an AI-powered HR and customer service bot integrated with Microsoft Teams, enterprise repositories, and HR email systems.
The client sought to streamline the extraction and enrichment of bibliographic metadata from thousands of complex PDFs, aiming to make scholarly and standards-based content more discoverable and retrievable across a large digital library. Impelsys implemented a hybrid AI-led approach with human-in-the-loop to address the customer’s complex metadata needs.
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