Why Companies Are Measuring Energy Instead of Sick Days
Dubai, UAE – Employers are beginning to track recovery, stress and readiness in real time. The promise is better performance. The open question is how much of it is science, how much is management, and how much is marketing.
A New Generation of Health-Tech Companies
For years, corporate health programmes followed a familiar logic: reduce sick days, lower insurance costs and offer a few wellness perks. A new generation of health-tech companies is now trying to shift that model. The focus is moving from illness to performance, from absenteeism to energy, recovery and daily readiness.
One example is RiseUp by Jef Geys, a company that combines short biometric scans with team dashboards, coaching and optional DNA or epigenetic testing. According to its own materials, users complete a quick scan, receive a readiness score and employers get anonymised trend data on factors such as hydration, recovery and what the company calls “brain energy.”
From Sick Days to Readiness Scores
The underlying idea fits a broader management trend. In high-pressure environments, leaders no longer want to wait until people burn out, go off sick or quietly disengage. They want earlier signals.
If sales teams, hotel staff, operators or athletes are running on low recovery for weeks, that becomes a business issue before it becomes a medical one. This is where data-driven health becomes commercially interesting. If a company can identify patterns in fatigue, stress or poor recovery across teams, it may be able to adjust schedules, workload or support systems before performance drops.
In theory, that is more useful than a generic wellness newsletter or a subsidised gym membership.
Where the Model Makes Sense
The strongest part of this category is its operational logic. Real-time dashboards, repeatable measurement and privacy controls can be useful management tools — especially if the data is anonymised and participation is voluntary.
RiseUp says its system is GDPR-compliant and designed to give employers insight without exposing individual health details. That matters, because the moment health data enters the workplace, trust becomes as important as the technology itself.
For entrepreneurs, that is the real appeal: not health as a perk, but health as operational intelligence.
Where the Claims Become Weaker
The weaker part is the language around outcomes. RiseUp claims that in one client case it increased “mental energy” by 23 percent and doubled participation in wellness activities.
Those figures may be encouraging, but they are not enough on their own. “Mental energy” is not a standard business metric, and without context — sample size, timeframe, method and independent validation — such claims should be treated as case-study signals, not hard proof.
The same caution applies to the wider promise of the category. Company materials from RiseUp refer to AI identifying fatigue patterns and to biomarkers such as HRV, inflammation and ATP levels.
Parts of that are plausible. HRV and pattern recognition are already used in performance tracking. But the more systems bundle biometric scans, DNA, epigenetics, AI and coaching into one story, the easier it becomes to blur the line between useful measurement and oversized claims.
What Matters for Business Leaders
That does not make the category irrelevant. It makes it more interesting.
The real opportunity is not a machine that somehow “optimises” employees. It is a new layer of visibility: understanding whether teams are consistently depleted, whether recovery is improving and whether management decisions are helping or hurting performance.
For entrepreneurs, the key question is simple: does the data change behaviour?
Does it improve scheduling? Reduce avoidable fatigue? Help managers respond earlier? Support retention and productivity? If not, it is another dashboard. If yes, it may become part of how modern companies manage performance.
A Real Trend, With Real Hype Around It
The shift toward data-driven health is real. So is the hype around it.
The companies that benefit most will not be the ones chasing the boldest promises. They will be the ones using health data with discipline, privacy and enough scepticism to separate insight from marketing.
