To unleash the potential of generative AI, it needs to be intimately aware of the user's context and data: documents, emails, calendars, meeting transcripts, preferences, work streams, contacts, and more.
Hyperspell is the data platform that lets you build your AI-enabled apps faster. Let your users connect to dozens of services, and use Hyperspell’s end-to-end data pipeline to get structured data with a single API call.
WHY HYPERSPELL?
Use our web, React, or iOS components to let your users link their accounts.
Use Hyperspell as your end-to-end RAG and get grounded answers from your users’ data.
Find relevant documents to build search and help desk applications. Hyperspell indexes your users' data with dynamic metadata, semantic chunking, hybrid vector- and keyword search, and continuous updates.
Extract data with GraphQL. Hyperspell builds a knowledge graph for every user that structures their data and allows you to build applications with out the prompt engineering.
Use Hyperspell as your end-to-end RAG and get grounded answers from your users’ data. Choose which LLM to use or bring your own.
By using Hyperspell, you give the power back to your users — and that's a good thing. Using our trusted data enclave, users can control what they share and with whom, and see the full picture over how their data is used.
Your users have fine-grained control over which data they choose to share, and with whom.
Every request and every piece of data is logged and visible to users for maximum transparency and trust.
By building on Hyperspell’s trusted data access model, compliance becomes a feature, not a burden.
Users can share data they already connected to Hyperspell with other applications without having to sign in again.
To unleash the potential of generative AI, it needs to be intimately aware of the user's context and data: documents, emails, calendars, meeting transcripts, preferences, work streams, contacts, and more.
Traditionally, harnessing this data requires you to integrate with numerous data sources, build and scale an ETL pipeline to ingest that data, transform and clean the data, index and store it, and spend countless hours fine-tuning chunking, embedding, metadata prompts, and much more. And that's before we even talk about security, prompt injections, and data leaks.
Hyperspell is an end-to-end data pipeline that lets you build data-powered AI apps in hours, not months.
No. We don't store end-user data directly unless they explicitly give us permission to cache it for speed reasons. We do store summaries of that data and extracted information in our knowledge graph. End users are always able to see which data is being stored and how it's being used.
We'd love to hear from you! Drop us a line at hello@hyperspell.com and tell us about your use case.
