AgentyLab is an AI agent for industries that demand depth, not generality. It runs inside your existing stack via a Chrome extension, learns your team's voice and tools, and turns small teams into the output of large ones, without anyone hiring anyone.
The next decade of software is not a smarter chatbot. It's specialised agents that know an industry from the inside, its vocabulary, its workflows, its tools, its rhythm , and operate as a teammate, not a tool.
Generic AI plateaus the moment your work gets specific. AgentyLab is built for the opposite: the more particular your domain, the more useful the agent gets. Today, that domain is recruitment. Tomorrow, sales. The month after, finance ops, customer success, legal intake. Each vertical, dialled in deeply, never spread thin.
Six moments from a workday. The same agent thread runs through every channel, knows the same context, learns from every interaction. Scenes auto-advance, click any tab to take control.
Aisha doesn’t open Gmail, Slack, the calendar, the ATS. She opens AgentyLab. The agent has read all of them overnight, weighted them against her actual pipeline, and triaged.
Each item is a one-click decision: act, snooze, delegate. What used to be forty minutes of context-switching is now ninety seconds.
An agent that has read your inbox, your team’s Slack, your ATS notes, and your calendar, and decided what matters first.
Tap any question above. The agent's answer streams in below.
Ninety seconds to install. No procurement cycle. No IT ticket.
Same LinkedIn, Gmail, Slack, WhatsApp, your ATS. The agent crosses them.
No new dashboard, no migration, no retraining. Day one, your team works the way it already works.
Generic agents reason from web text. Specialised agents reason from your industry’s patterns, your team’s voice, your tools’ quirks. They catch the ambiguity in a JD, the politics in a candidate’s last role change, the scheduling rhythm of your week.
Every conversation, decision, and outcome feeds back. The agent that helped you Tuesday is sharper on Friday. Personas tighten. Rubrics calibrate. Outreach voice settles into the team’s actual cadence. This is the gap between a tool and a teammate.
The point isn’t to add an AI. The point is that four people, with the agent, do the deal volume of fifteen, without losing the personal touch that small teams win on. The output of a mid-sized agency from the team you have today.
We start in recruitment because that's where we have the deepest design partner and the clearest pipeline of unmet workflow pain. Once it's measurably making a four-person agency feel like a fifteen-person one, we move to the next vertical.
Each domain is built deliberately, not assembled from a generic SaaS template. That's the only way the depth holds.
We've spent the last four months in the work, sitting with UK recruitment teams, reading their workflows, watching the patterns nobody puts in a deck. Agencies running on three recruiters and agencies running on twenty. That groundwork is now the spine of AgentyLab, what to build, what to refuse, and where the real lift is.
Round one has just a few slots available. Participating teams become subjects of the founding case studies, measured on the numbers that actually move an agency: placements per recruiter, time-to-fill, revenue per head, hours back in the week. The aim isn't a logo on a slide. The aim is to point at a number neither of us imagined when we started.
We move fast, ship in your workflow, and build with you in the loop, not at you from a roadmap.
If your agency runs lean, ships fast, and wants leverage from AI without bloat, talk to us. Round one closes when this slot fills.