Digital Workers of California, Inc.
Hyperspell is the memory and context layer for AI agents, providing infrastructure that connects to company tools and user data to give AI agents persistent memory so they can recall, reason, and remember across interactions - turning disconnected agents into informed AI coworkers.
At a Glance
- Product engineering teams at SaaS companies (50-2,000+ employees)
- Customer support teams with high ticket volumes
- Internal developer platform teams
- Sales enablement teams
- +5 more
AI Tools by Digital Workers of California, Inc.
(1)
Hyperspell
AI Agent Memory and Context Layer
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Latest News
Hyperspell accepted into Y Combinator Fall 2025 batch after being rejected 6 times
YC Fall 2025 Demo Day - Hyperspell presents as part of 44th Y Combinator Demo Day
Hyperspell launches self-integrating SDK as first Claude Code skill
Hyperspell achieves SOC 2 certification and GDPR compliance
Products & Services
Core memory and context infrastructure for AI agents that continuously indexes and provides access to user data across connected sources
Hosted network that builds a bespoke memory graph by continuously indexing connected accounts, improving with every query and conversation
Developer SDK for integrating memory and context capabilities into AI applications
Custom Claude Code skill that enables automatic integration into unknown codebases, released as the first self-integrating SDK
Market Position
Positioned as a connector-first agentic memory layer that sits between infrastructure-heavy vector databases and UX-centric search tools. Unique selling proposition: enterprise-grade, continuously updated, and auditable memories delivered via one-line integrations and SDKs, lowering engineering friction compared to building manual RAG pipelines. Differentiates through BYOV (Bring-Your-Own-Vector) compatibility to avoid vendor lock-in, ownership of end-to-end connector experience, and opinionated memory primitives (episodic and semantic memory types). Total addressable market estimated at $20B with serviceable available market of $6B, growing at 30-40% CAGR.
Leadership
Founders
Conor Brennan-Burke
Left school at 12 to teach himself, started college at 13. Previously led a $30M-$50M ARR API business (Continuous Safety API portfolio) at Checkr serving 10M+ workers and 90+ customers including Uber, DoorDash, and Grubhub. Also worked at BCG (Boston Consulting Group). Bootstrapped a previous startup called Echo AI (an AI assistant for product managers) before pivoting to Hyperspell.
Manu Ebert
Former neuroscientist turned serial founder. 25 years of coding experience, founded 4 companies with 2 exits. 15+ years of machine learning experience. Founded summer.ai (Machine Intelligence consulting firm) which was acquired by Airbnb. Built Airbnb's first Knowledge Graph. PhD in Cognitive Neuroscience from University of Osnabrück (2008-2011). Participated in On Deck Founders program.
Executive Team
Conor Brennan-Burke
Co-Founder and CEO
Previously led $30M-$50M ARR API business at Checkr, worked at BCG, started college at 13
Manu Ebert
Co-Founder
Serial founder with 2 exits, 15+ years ML experience, built Airbnb's first Knowledge Graph
Board of Directors
Founding Story
Conor Brennan-Burke and Manu Ebert originally built Echo AI, an AI assistant for product managers. While building Echo AI, they discovered the fundamental infrastructure problem: AI agents lack context and memory about the real-world environment they operate in. Agents were superintelligent on standardized tests but wouldn't last a day at a real job because they couldn't remember or understand the context humans naturally build from hundreds of data points across dozens of interactions. They pivoted to build Hyperspell to solve this core infrastructure gap, creating the memory and context layer that their original product needed. They applied to Y Combinator 6 times before being accepted into the F25 batch.
Business Model
Revenue Model
Hybrid model: API usage-based pricing, subscription tiers (free developer tier, usage-based core tier, enterprise annual contracts), and connector pack add-ons. Product-led growth (PLG) strategy to attract developers followed by enterprise sales for high ACV contracts.
Pricing Tiers
Limited connectors and vectors for development and proof-of-concept
Pricing based on ingestion, storage, and retrieval usage. One OpenAI-compatible API for many LLMs, custom models, reasoning mode, built-in review mode
Committed annual contract value (ACV), SLAs, premium features including VPC or on-premises deployment options, connector packs as add-ons
Target Markets
- Product engineering teams at SaaS companies (50-2,000+ employees)
- Customer support teams with high ticket volumes
- Internal developer platform teams
- Sales enablement teams
- ISVs building agent-enabled products
- Regulated verticals (finance, healthcare, legal)
- Adding context and institutional knowledge to AI agents
- Enabling agents to recall, reason, and remember across company knowledge
- Building search applications and help desk applications
- On-screen assistants with persistent memory
- Embedded customer support bots with context awareness
- CRM personalization tools
- Eragon
- Entelligence
- Micro
- Hobbes