Hyperspell provides a platform that continuously ingests an organization’s connected accounts and documents to create a graph‑based, persistent memory for AI agents. This memory enables context‑aware retrieval and grounded generation, delivering instant, accurate answers while developers integrate the service with a single line of code and can use any LLM of their choice.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
7OFounders
Product
Problem
Enterprises deploying AI agents often struggle with fragmented data sources and lack a persistent memory layer, causing agents to provide inconsistent answers and requiring extensive manual integration for each new data source.
Solution
Hyperspell offers a platform that continuously ingests users’ connected accounts and documents to build a bespoke, graph‑based memory network for each AI agent. The memory graph enables context‑aware retrieval and grounded generation, allowing agents to deliver instant, accurate answers drawn from the organization’s data. Developers can integrate the service with a single line of code, leveraging pre‑built components for authentication and memory updates, while retaining the flexibility to choose or supply their own large language model. The system improves over time as each interaction reinforces the memory, delivering increasingly relevant responses without additional engineering effort.
Target Audience
Target customers are enterprise product teams and developers building AI‑driven applications that require reliable, up‑to‑date knowledge retrieval across diverse data sources.
Features
- Continuous ingestion of multiple data sources to maintain an up‑to‑date memory graph
- Persistent, context‑aware memory that enhances answer relevance across sessions
- One‑line integration SDK with built‑in authentication and automatic memory updates
- Plug‑and‑play retrieval layer that grounds LLM outputs in the organization’s knowledge base
- Support for custom or third‑party LLMs, enabling flexible model selection
- Scalable architecture that processes thousands of documents and conversations weekly