At Hyperscience we help organizations drive automation and efficiency in mission-critical processes that are heavily reliant on documents and unstructured data. One of our key investment areas has been to extend the utility of mission-critical document data through the power of AI and Generative AI, unlocking not just business process automation, but also intelligent workflows such as insights, AI agents, and RAG.
Hyperscience is proud to partner with IBM watsonx, bringing together the best of intelligent document processing and enterprise-grade AI to power the next generation of business process automation and transformation.
By combining Hypercell for GenAI with watsonx’s foundation models, GenAI toolkit, and data governance tools, organizations can use unstructured data to drive powerful innovations in:
- Line of Business Process Automation: Replace manual labor and legacy systems with AI that drives unmatched accuracy and automation rates
- Processing Insights & Analytics: Leverage intelligence from non-machine-readable data formats alongside LLMs to spot patterns, trends, and drive business decisions
- Grounding & Fine-Tuning of LLMs: Use AI-ready data from business documents to tune firm-specific LLMs that speak the language of your business with the ability to mask PII for compliance
- Business Process Transformation with AI Agents: Incorporate LLMs, prompts, and human interactions into automated data-driven business processes for better decision making
Hyperscience’s integration with IBM watsonx.ai now allows IBM watsonx customers to:
- Chat with a document directly in a Hyperscience Flow
Through the IBM watsonx.ai LLM Chat block, customers can enable users to interact with the documents that they are processing right in Hyperscience, facilitating questions, insights, and assessments. - Prompt Foundation Models with Extracted Document Data
By incorporating IBM watsonx.ai model library, users can orchestrate foundation model prompts with extracted document data in Hyperscience flows, leveraging powerful models such as Granite, Mistral, and Llama for task automation, data analysis, and insights. - Vectorize Document Data for RAG and Vector Search
Incorporate embedding models from watsonx.ai directly into a Hyperscience Flow to make document data AI-ready for RAG, Vector Search, and other Generative AI applications - Ground and Fine-Tune Generative Applications with Enterprise Data
Send Accurate, AI-Ready Data into GenAI pipelines built in watsonx.ai for grounding and AI fine-tuning use cases
Trusted AI for Mission-Critical Use Cases
Both Hyperscience and IBM understand the stakes of enterprise AI: accuracy, reliability, and explainability are not optional; they’re required. That’s why this collaboration is purpose-built for mission-critical environments, including Financial Services, Insurance, Government, Healthcare, and other regulated industries.
With this partnership, customers can confidently deploy GenAI workflows that deliver real impact, streamline processes, improve decision-making, and unlock new efficiencies.
A New Era of Enterprise AI
Together, Hyperscience and IBM watsonx are redefining how organizations adopt and scale AI. From data preparation to LLM deployment, this partnership empowers enterprises to build smarter, safer, and more human-centric automation, all while staying in control of their data and outcomes.