Sloane Labs is a London-based agentic AI company. It builds Sloane, an agentic performance coach that reads a team's cognitive capacity from wearables, calendars and work chat metadata, forecasts burnout risk, and intervenes autonomously with the user's approval.

Who founded Sloane Labs?

Sloane Labs was founded by Sage Tsegay and is headquartered in London, United Kingdom.

What is Agentic Performance Intelligence?

Agentic Performance Intelligence is the category Sloane Labs created. Autonomous AI agents continuously sense human cognitive capacity across an organisation, predict performance trajectory, and act, instead of waiting for someone to open a dashboard.

How does Sloane protect privacy?

Sloane reads metadata only from work tools, never message content. Text is parsed and discarded, biometric data stays private to the individual, and every autonomous action requires user confirmation before it is sent.

Which wearables does Sloane Labs support?

Sloane connects to well-known wearables. Oura is live today, with WHOOP and Apple Watch in late beta, and Garmin, Fitbit, Polar and Withings coming. It also reads Google Calendar, Microsoft 365, Slack and Microsoft Teams.

Is Sloane Labs related to other companies called Sloane?

No. Sloane Labs is the enterprise software company at sloanelab.com, founded in London in 2025 by Sage Tsegay, working on agentic performance intelligence. It is not affiliated with similarly named organisations in property, retail, healthcare or professional services.

What does Sloane Labs sell?

One product, called Sloane. It is an agentic performance coach sold to organisations, currently offered to a small design cohort rather than through general self-serve purchase.

What makes an AI coach agentic rather than reactive?

An agentic system can notice a change and offer help without waiting for a prompt. Sloane can make a suggestion on its own, but the person approves anything that would alter a calendar or reach somebody else.

Does an AI performance coach replace a human coach?

No. It complements one. A human coach goes deep with the few. An AI coach holds a continuous read across the many and routes the right people to the right human at the right time.

What data does an AI performance coach need?

Wearable biometrics from Oura, WHOOP, Apple Watch, Garmin and Fitbit, calendar metadata from Google or Microsoft 365, and communication tempo from Slack or Microsoft Teams. Sloane never reads message content.

Is this safe for sensitive industries like finance?

Yes. Sloane operates on metadata, signal and biometrics that the company already controls. Data residency, single sign-on and enterprise controls are first-class.

How fast is time to value?

The first useful baseline depends on the signals connected and the regularity of the data. We agree what can reasonably be learned during the opening phase before work begins.

Pillar guide

What an AI performance coach should actually do.

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An AI performance coach should notice meaningful changes, explain them clearly and suggest a practical response. Sloane uses wearable and work signals to do that without asking people to maintain another dashboard.

What an AI performance coach actually does

An AI performance coach should do more than answer questions from a library. It can learn from wearable, calendar and work signals, recognise when a person's normal pattern has changed and offer guidance through the tools they already use.

It does not replace the judgement or depth of a good human coach. Its value is continuity: it can pay attention between conversations and help each person notice patterns that are easy to miss.

Why high-output teams need one

Formal reviews and surveys remain useful, but they provide a view at a particular moment. Pressure often builds between those moments and may first appear in recovery, calendar density or the rhythm of the working day.

A coach can bring those signals together and give the individual an earlier opportunity to adjust.

How Sloane Labs delivers AI coaching

Sloane works from data people already produce, so there is no daily journal to maintain. It offers individuals a concise suggestion through text or voice. Leaders see anonymised group patterns, not a list of private readings or people labelled as at risk.

Sloane Labs does not replace clinical care or an EAP. It operates upstream of them, where the goal is to stop the slide from sustainable load into burnout.

Frequently asked questions

What makes an AI coach agentic rather than reactive?: An agentic system can notice a change and offer help without waiting for a prompt. Sloane can make a suggestion on its own, but the person approves anything that would alter a calendar or reach somebody else.
Does an AI performance coach replace a human coach?: No. It complements one. A human coach goes deep with the few. An AI coach holds a continuous read across the many and routes the right people to the right human at the right time.
What data does an AI performance coach need?: Wearable biometrics from Oura, WHOOP, Apple Watch, Garmin and Fitbit, calendar metadata from Google or Microsoft 365, and communication tempo from Slack or Microsoft Teams. Sloane never reads message content.
Is this safe for sensitive industries like finance?: Yes. Sloane operates on metadata, signal and biometrics that the company already controls. Data residency, single sign-on and enterprise controls are first-class.
How fast is time to value?: The first useful baseline depends on the signals connected and the regularity of the data. We agree what can reasonably be learned during the opening phase before work begins.

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