AI Agents are the Future. Conor Brennan-Burke is Building the Infrastructure that Enables them to Run at Scale
“The first decision isn’t what to build. It’s who you want to help. Who are the people you’d bend over backwards for? If you start there and focus on solving their problems, the product takes care of itself.” - Conor Brennan-Burke, Co-founder and CEO of Hyperspell
The AI agent sector has exploded in the last two years. The market is projected to reach $7.6 billion in 2025 and AI agent start-ups raised $3.8 billion in 2024, nearly 3x that of the previous year. Agents are emerging in hospitality, customer support, personal productivity, and more.
Even as LLMs make it easier to build agents, many companies struggle to give them the context and memory they need. It is not enough to retrieve information once. Agents must access the right facts, retain them across interactions, and update them as things change.
Conor Brennan-Burke and his co-founder Manu Ebert ran into this problem while building Echo AI, an agent for product managers. They found the hardest part was not building the agent itself but ensuring it always had the right context and could carry it forward over time.
The team spent months developing an engine for context, memory, and retrieval. When they saw every founder around them struggling with the same problem, they pivoted to build Hyperspell so others could deploy agents on a stronger foundation instead of rebuilding brittle infrastructure.
Hyperspell: Context and Memory Layer for AI agents
Today, Conor and Manu are building Hyperspell, the context and memory layer for AI agents. Hyperspell connects to permissioned data sources like Gmail, Slack, and Notion, organizes knowledge, and delivers the right context to agents at each step of a workflow.
Although the number of AI agents is rising quickly, agents will always need context and memory to provide value. Teams that try to build this in-house end up stitching together point tools and custom pipelines. That work is slow, costly, and distracts from building core product features. In a fast-moving space, companies cannot afford to lose months rebuilding brittle systems when they could start on a stronger foundation.
Hyperspell offers a complete context and memory solution that can be set up in minutes, allowing AI companies to build more effective agents while saving significant engineering effort. As one customer put it after months of trying to build in-house, “we had a prototype working, but making it scalable, secure, and production ready would have been a massive lift. It was clear we’d have to spend months just to get to parity with Hyperspell.”
Since launch, Hyperspell has begun partnering with companies building on-screen assistants, embedded customer support bots, and CRM personalization tools.
Looking ahead, Hyperspell’s vision is to be the default context and memory infra for AI agents, giving them the continuity and understanding they need to act intelligently across workflows.
Conor’s advice for fellow founders
For Conor, the journey has always been about action and iteration. He left school at 12 to teach himself, started college at 13, and spent years living and working abroad. After bootstrapping his first startup, and now building his second, he's learned that this mindset is key to being a founder.
“Reality is messy, and your mental model is rarely a good fit for how the world actually works,” he explains. “You only get clarity by getting close to your customers and experiencing their problems firsthand. You cannot think your way to the right answer. You have to act first, and action creates information.”
His second piece of advice is to choose who you want to serve. “The most important decision is not what to build, it is who you want to help. Who are the people you would bend over backwards for? If you start there and focus on their problems, the product takes care of itself.”
To learn more, follow Conor on LinkedIn or X, or visit Hyperspell.com
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