Innovation and expertise chief Olga Osokina explains why some AI unicorns thrive with simply 10 workers, how biorhythms can improve productiveness, and why AI alone is now not sufficient for breakthrough advertising.
In 2025, synthetic intelligence lastly ceased to be only a technological novelty and have become infrastructure – important for enterprise survival. In accordance with the Information Belief Report 2025 (Ataccama), 72% of C-level executives consider that corporations with out an AI technique threat dropping their market place inside the subsequent 2–3 years.
Nonetheless, as Olga Osokina, CEO of UME Tech, emphasizes, merely implementing AI instruments now not offers a aggressive benefit. She has developed a brand new methodology for integrating organic and synthetic intelligence right into a unified decision-making system – an strategy that has already earned her worldwide recognition, together with titles akin to Innovator of the 12 months (Worldwide Enterprise Award), Entrepreneur of the 12 months (Stevie Awards), and Innovation Chief of the 12 months (World Innovation On-line Award).
Options created by Osokina and her staff are utilized in greater than 18 nations, and he or she serves on the jury of the Worldwide Enterprise Awards as a acknowledged skilled in technological innovation.
When Biorhythms Influence Valuation
In accordance with Osokina, an organization’s worth is more and more decided not by the size of its operations, however by its capacity to create worth with minimal assets. For instance, many AI startups valued at over a billion {dollars} function with simply 10–20 workers – due to finely tuned staff processes and deep automation.
“The upper the worker effectivity, the upper the corporate’s valuation. That’s why employers are on the lookout for methods to spice up not simply engagement however cognitive efficiency,” she explains.
Biorhythm-Based mostly Productiveness Administration
As a part of a pilot undertaking, UME Tech carried out a research involving 56 workers throughout three corporations in consulting, R&D, and digital advertising. For 2 months, contributors adopted customized schedules based mostly on their circadian rhythms, steady glucose monitoring (CGM) knowledge, and productiveness metrics.
The information was processed utilizing clustering algorithms and temporal phase-matching (based mostly on Scikit-learn and proprietary BI instruments). Adjustments in KPIs, error frequency, cognitive resilience, and emotional engagement have been tracked.
“We recognized a constant correlation between peak productiveness phases and organic rhythms. After implementing particular person schedules, effectivity elevated by 5–7% for workers acquainted with productiveness optimization, and as much as 30% for these new to such practices,” says Osokina. All biometric monitoring — together with CGM and circadian rhythm knowledge — was initiated on the private request of contributors, carried out on a strictly voluntary foundation, and absolutely compliant with inside ethics requirements. No knowledge was ever used for efficiency analysis or managerial management; the only real function was particular person well-being optimization.
These outcomes replicate a pilot implementation and are influenced by components akin to staff maturity, digital tradition, and autonomy of workflows. Broader applicability could require adaptation to totally different organizational settings.
This strategy is especially efficient in environments the place workers have planning autonomy – akin to product design, R&D, digital content material, and engineering groups. In hierarchical or production-based buildings, nonetheless, implementation requires adaptation, and analysis into such settings is barely starting.
The research was carried out as an inside R&D initiative, with impartial knowledge scientists and behavioral neuroscience specialists concerned. All experimental protocols complied with inside ethics and HR compliance requirements.
Addressing Burnout: From Story Remedy to Biochemistry
Osokina has additionally contributed to reshaping company wellbeing. The psychological well being platform she developed contains:
- adaptive meditations (together with voice-based ones),
- story remedy,
- consultations with psychologists,
- and even evaluation of micro- and macronutrient deficiencies linked to power fatigue.
Analysis confirmed that meditations recorded in a single’s personal voice – particularly during times of excessive power – yield an 18–22% stronger restorative impact than normal audio codecs.
In a collection of A/B assessments involving 900 customers, adjustments have been measured utilizing nervousness scales (STAI), perceived stress ranges (PSS), and efficiency within the n-back cognitive check – a validated methodology for assessing working reminiscence and focus.
“The precise mechanism continues to be underneath research, however we assume a mirror neuron impact – the mind responds extra actively to its personal voice, particularly in a secure setting,” Osokina explains.
Distinction because the New Basis of Neuromarketing
Advertising can also be present process a paradigm shift – from automation to deep neuropsychological tuning.
Osokina’s staff carried out a research of over 120 advert eventualities testing the “emotional distinction” speculation. Alternating nervousness and reduction, pressure and pleasure led to a big enhance in engagement — a median of 26% greater than the management group (with p < 0.05).
“Emotional sequences constructed on the precept of a ‘neuroloop of engagement’ — alternating emotional peaks that set off transitions between pleasure and rest — result in extra aware client selections,” Osokina explains.
Consumer reactions have been tracked utilizing BCI units (neural sensors, coronary heart fee variability), CGM, and hormone evaluation. Behavioral metrics have been additionally recorded: scroll depth, clicks, time on website, and return fee. These measurements have been obtained in opt-in analysis settings, with full consent from contributors. All knowledge was anonymized and used solely to discover client engagement mechanisms in a scientific context.
Digital Avatars: Customized AI Advertising
Osokina additionally developed and launched a platform for digital model ambassadors — AI avatars tailor-made to focus on viewers psychotypes based mostly on the OCEAN mannequin. These avatars use generative AI to create video and textual content content material tailored to every section’s notion fashion — whether or not visual-emotional or rational-analytical.
In pilots with six corporations from retail and edtech, utilizing these avatars decreased buyer acquisition prices by 52–76%; in a single case, nearly to zero — due to natural attain and behavioral focusing on.
It’s vital to notice that these outcomes have been noticed in pilot environments and should not universally assured. Outcomes rely closely on advertising maturity, viewers segmentation high quality, and inside knowledge capabilities.
Depth of Options: From Neuropsychology to Technique
Osokina emphasizes that in right this moment’s panorama, it’s not sufficient to set off pleasure or affinity within the client. “We carried out a collection of research measuring hormone ranges, blood glucose, and neural responses throughout on-line buying. We discovered that neither optimistic nor adverse feelings alone are adequate to drive a aware buying resolution. However once we created a particular emotional sequence — alternating nervousness and reduction, pleasure and pressure — we noticed that distinction considerably boosted engagement. This triggered a extra advanced emotional-cognitive response that supported decision-making. We name this the ‘neuroloop of engagement’.”
One other approach Osokina described is model communication by means of feelings that distinction the exterior surroundings. Throughout unstable durations, messages framed round calmness, readability, and confidence draw consideration and foster a way of reliability.
Osokina stresses: to realize actual effectivity in tech and advertising, experimentation alone is just not sufficient. Scientific data should be deeply built-in — drawing from neuropsychology, bioinformatics, and behavioral economics.
“Working in fields like organic intelligence and resolution neuroscience, we purpose to uncover the basics behind key processes — as a result of with out that, we will’t create actually efficient applied sciences,” she explains. “With out scientific grounding, any technological effort is only a little one’s experiment. That could be helpful firstly, however once you’re creating new molecules, resolution methods, or most cancers therapies — it’s worthwhile to perceive the science behind each step. The current Nobel Prizes are a transparent instance of how AI and science are actually working in synergy. We’re seeing applied sciences deal with probably the most advanced issues — and that, after all, opens up new horizons, each for enterprise and for humanity’s future.”
Olga Osokina is shaping a brand new structure of productiveness and client expertise — one the place algorithms alone aren’t sufficient. On the core is the human being in all their organic, behavioral, and cognitive complexity. This not solely adjustments the principles of the sport in HR and advertising, but in addition opens new frontiers for enterprise and science.All through all initiatives, moral integrity and respect for particular person autonomy stay central rules. No biometric or cognitive knowledge is ever used with out knowledgeable consent, and all packages are designed to empower — not consider — the human being on the core of the system.
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