Healthy Lighting Is Entering a New Era of Space × Human Factors × Data

LED Expo New Delhi India 2025 was grandly held in New Delhi.
Our founder and CEO, Lawrence Lin, was honored to be invited by Messe Frankfurt India to join the opening ceremony alongside the Bureau of Energy Efficiency (BEE), the Ministry of MSME, architectural associations, and leaders from the design industry.

This was not just a lighting exhibition.
It was a clear signal of the comprehensive upgrading of India’s lighting industry.

On this stage, representing LRS / In.Licht® / GLG, Lawrence shared our latest research findings and raised a question of global significance:

The future value of lighting does not lie in luminaires — but at the intersection of space × people × data.

In this article, we have organized our observations, presentations, and industry insights from this India journey to help the industry better understand the next true global trend in lighting.

1. India’s Lighting Industry Is Rapidly Leaping Forward

The scene at LED Expo was even more powerful than any statistic:

• 240+ exhibitors
• 6,000+ products
• Tens of thousands of professional visitors
• Designers, architects, distributors, e-commerce platforms, and channel partners all in one place

India’s industry is moving from “making lighting products” to “building ecosystems.”

From luminaires to drivers, from controls to AIoT, from residential to industrial — the entire value chain is upgrading.

More importantly:

Governments, industry bodies, developers, and designers are all searching for “the next stage of lighting value.”

This is precisely where healthy lighting, human-centric lighting, and data-driven lighting come into play.

2. The Core Topic Lawrence Shared in India

Spatial Human-Centric Model (SHM) × FES Field Evaluation System

In the opening keynote and technical forums, Lawrence shared a key insight:

“The true quality of light does not exist in the luminaire, but in the space — and in the human eye.”

But what truly affects health, circadian rhythm, and emotional experience includes:

• Spatial geometry
• Surface reflectance and materials
• Multi-source light layering
• Vertical illuminance
• Spectrum
• User position and behavior
• Exposure duration

Therefore, in India, Lawrence publicly introduced the Spatial Human-Centric Model (SHM) developed by LRS.

【Spatial Human-Centric Model (SHM): Three-Layer Structure】

① Space Layer
Architecture, reflectance, materials, windows, shading, daylight
→ Determines how light is distributed in space

② Eye-Level Stimulus Layer
Vertical illuminance, m-EDI, EML, CS, SPD, TM-30, flicker
→ Determines what light actually reaches the human eye

③ Human Response Layer
Visual comfort, circadian entrainment, emotional experience, physiological response
→ Determines how light affects the human body

This addresses a major blind spot of traditional lighting:

Standards tell us what the luminaire emits — humans need to know what their eyes actually receive.

3. Why Do We Need FES (Field Evaluation System)?

Hotels, schools, offices, and large retail spaces in India share a common problem:

Beautiful documents — disappointing reality.

Examples:

A five-star hotel specifies “perfect spectrum” in documentation, but on site measurements show:

• SVM exceeding 1.0 (neurologically perceptible flicker)
• Desktop illuminance at 350 lx, but eye-level m-EDI only 80 lx
• Multi-source lighting causing Δuv shift and distorted atmosphere
• Warm LED strips producing high-frequency flicker
• Indoor PM2.5 > 300 µg/m³ (Delhi extreme conditions)

This is why we emphasize:

FES (Field Evaluation System) = the “truth instrument” of healthy lighting

It includes three core modules:

✔ 1. Visual Metrics

• Illuminance
• Luminance & glare
• TM-30
• Flicker (SVM / Pst LM)

✔ 2. Circadian Metrics

• m-EDI
• EML
• Daytime exposure curves
• Age-weighted assessment

✔ 3. Experiential Metrics

• SPD scene performance
• Δuv
• Scene consistency
• Multi-source light interaction analysis

FES will be the foundation for future design, commissioning, and standard-setting — and is exactly what Indian design firms, developers, hotels, and schools need most.

4. LRS & In.Licht®: Using Data to Help India Enter the Healthy Lighting Era

At LED Expo India, we introduced three globally leading devices already widely used in WELL and healthy building projects:

In.Licht Ultra
Spectral + Flicker + Circadian All-in-One Instrument
✔ Officially Works with WELL™ certified
For designers, consultants, schools, hotels, manufacturers

In.Licht Pro
High-speed portable measurement for tuning & delivery
For engineers, commissioning teams, lighting manufacturers

In.Licht Well
Long-term FES-ready monitoring device
Measures: m-EDI, flicker, illuminance, air quality (TVOC, PM2.5, CO₂)
For operators, developers, AIoT platforms

On site — at Delhi Airport, the expo venue, hotels, and meeting rooms — we measured:

• Outdoor m-EDI > 10,000 lx (extremely strong circadian stimulus)
• Outdoor PM2.5 = 341, PM10 > 400 (very poor air quality)
• High-frequency flicker in certain hotel areas
• Warm lighting scenes with Δuv > 0.006

India’s climate, air quality, and lighting conditions make precise healthy lighting more critical than ever.

5. Why India Is the “Next Stop” for Healthy Lighting

At the exhibition, We clearly saw three things:

1. Massive demand for healthy lighting
Hospitals, schools, IT campuses, and hotel chains are seeking more scientific standards.

2. Manufacturing wants to move up the value chain
From luminaires to light data, AIoT, and healthy buildings.

3. Channels (e.g., Sonepar) are reshaping ecosystems
They are no longer selling products — they sell solutions.

This means:

India will leapfrog the traditional lighting era and directly enter the data-driven healthy lighting era.

6. Collaborations Emerging from India

During LED Expo, Lawrence engaged with:

• Sonepar India leadership
• Leading lighting OEMs
• Hotel groups
• Architectural associations
• Government and education organizations

All showed strong interest in the In.Licht® FES methodology.

We will continue advancing collaboration with the Indian team (LOI — Lumen Optiks India).

7. The Future of Lighting Has Only One Direction

From brightness to health
From devices to space
From parameters to data

India is accelerating along this path — as are China, Europe, and the Middle East.

LRS will continue to drive:

• Standardization of healthy lighting
• Scientific circadian lighting
• Spatial experience design
• Data-driven field evaluation
• Light-data AIoT platforms

So that light truly becomes a “life infrastructure.”

In recent years, “smart buildings” and “smart homes” have become buzzwords in the real estate and IoT sectors: AIoT, carbon neutrality, BMS, energy efficiency platforms, whole-home automation… various brands are talking about “spaces that think” and “homes that understand you.”

Yet behind all these trendy terms, there’s a role that is often overlooked but is truly everywhere—lighting. Lighting is both the most densely installed electrical system in a building and the most direct interface between people and space. However, in many smart projects, it is often treated merely as “a circuit” or “an item on a checklist.”

This article aims to take a fresh perspective: In smart buildings and smart homes, what real opportunities does lighting offer, and what practical challenges does it face?

1. Why is lighting often underestimated in smart systems?

From the client’s perspective, the cost structure of a large project typically looks like this:

• Civil works, MEP (mechanical, electrical, plumbing), HVAC, curtain walls, interior finishes…
• BMS, low-voltage systems, security, networking…

Lighting is usually just a “small piece” within the MEP category. Several practical realities further weaken lighting’s position in smart systems:

1. Low cost share, but complex integration
   • Individual fixtures are relatively inexpensive, but quantities are huge.
   • Making them “smart” involves drivers, power supplies, protocols, gateways, commissioning, labor…
   • The client often asks: “If we spend extra here, how much difference will it really make?”
2. Fragmented standards and systems
   • DALI, 0–10V, KNX, BACnet, Zigbee, Bluetooth Mesh, Wi-Fi, Matter…
   • Different floors, brands, and systems often “speak different languages.”
   • When integrators try to create a unified platform, lighting is often the hardest part to connect.
3. Value is hard to quantify
   • Energy savings are easy to calculate.
   • But soft values like comfort, experience, health, or mood are difficult to translate into metrics for tender documents.
   • Result: “It feels good, but the budget is tight—let’s skip smart lighting for now.”

This is the most realistic starting point for lighting in the smart building/home space: important, yet often underestimated.

2. Why lighting actually has a “natural advantage”

With a shift in perspective, a completely different picture emerges:

1. Lighting is the densest IoT carrier in a space
   • Every room, corridor, meeting room, or living room needs lights.
   • If a fixture itself is a combination of sensor + actuator, it naturally becomes the building’s “nerve ending.”
2. Lighting is the closest system to people
   • Can I see clearly?
   • Am I tired or stressed?
   • Can I focus or sleep well?
   • Compared to outlets, air conditioning, or distribution panels, lighting directly affects people: in a smart building, few systems are “attached” to humans 24/7 like light is.
3. Lighting connects space + energy + people simultaneously
   • Is the space occupied?
   • How much power and energy is being used?
   • What visual tasks or emotional states are needed right now?
   • The state of a single light reflects all these dimensions, making lighting a natural intersection for multi-dimensional data.

So if you ask: “Which system in a smart building is best positioned to become the building’s nervous system?” — lighting undoubtedly leads the pack.

3. Where are the opportunities? (From “Beautiful” → “Functional” → “Healthy”)

1. Energy & Operations: From “switches” to “data points
   • Using fixtures and sensors to collect real-time data: occupancy, brightness, energy consumption. Integrate with HVAC and shading systems to achieve truly zoned and precise energy savings. On the operations side, fixtures and gateways with self-diagnosis can: Identify which areas have faults or need maintenance alerts. Reduce inspection and emergency repair costs.
   • For clients, the value is simple: “How much energy is saved? How much are operations costs reduced by connecting lighting to smart systems?”
2. Experience & Branding: Turning scenes into assets
   • Office buildings: Focus mode, meeting mode, inspiration mode, end-of-day reset mode.
   • Retail & exhibitions: Guide foot traffic, increase dwell time, enhance social media engagement, reinforce brand atmosphere.
   • Hotels & residences: Welcome lighting, work corners, relaxation in bathrooms, pre-sleep transition, wake-up lighting.
   If these scenes are reusable and replicable, they’re no longer just “a designer’s inspiration,” but become brand assets and digital modules.

3. Health & Mood: From circadian to emotional lighting

• Using standards like CIE S026 and WELL, illuminance, color temperature, and spectra can be turned into circadian lighting recipes:
  1. Boost alertness in the morning.
  2. Improve focus during the day.
  3. Avoid excessive melatonin disruption at night.
• Further integrating neuroscience and physiological metrics (e.g., LRS’s LSS model):
  1. Different light environments can be mapped to emotional effects such as relaxation, focus, recovery, and social engagement, creating callable emotional light recipes.

The opportunity here is clear: lighting is no longer just about “visibility”; it becomes a vital part of health and well-being.

4. Real-world challenges: Technology, cost, and “who pays?”

The bigger the opportunity, the more tangible the challenges.

1. Technical integration complexity
   • A wide variety of light sources, drivers, protocols, and platforms require significant adaptation.
   • Renovating older buildings often means “patching” onto existing wiring and control systems.
   • Clients don’t want to be locked into a single vendor, which requires lighting companies to be more open—and more complex.
2. Balancing cost and visible value
   • Smart lighting hardware, systems, commissioning, and operations all add extra costs.
   • If calculations are based only on energy savings, the total investment is often hard to justify.
   • Soft values—operations, health, user experience, brand—must be clearly communicated using data and case studies.
3. Business model: Who pays for “smart lighting”?
   • Developers: usually focus on costs and highlights before the sales handoff.
   • Operators: care more about long-term operations and tenant experience.
   • Tenants/owners: want tangible benefits they can see.

This means lighting companies cannot rely solely on “selling equipment.” They need to collaborate with platforms, integrators, and consultants to design new revenue-sharing models:

• Project-based
• Service-term-based
• Even performance-based, tied to energy savings or satisfaction metrics

5. How can lighting companies upgrade their role?

For lighting professionals, there are several realistic paths for upgrading:

1. From “product” to “hardware platform”
   • Integrate drivers, dimming, sensors, and interfaces into a unified architecture.
   • Support mainstream protocols and open APIs so fixtures naturally connect with BMS, whole-home smart systems, or third-party platforms.
   • Provide standardized “integration kits” for integrators and platform partners.
2. From “lighting specification” to “scene specification”
   • Don’t just calculate power and quantities; start by asking: “What is the function and emotional goal of this space?”
   • Combine circadian, emotional, and experiential lighting to break the space into scene packages: focus mode, movie mode, recovery mode, reception mode…
   • Turn these scenes into visualized, replicable, and verifiable solutions.
3. From “follower” to “ecosystem participant”
   • Actively participate in standards development, pilot projects, and cross-industry collaborations.
   • Collaborate with platforms, chipmakers, algorithm developers, and health institutions to create a light + sensing + data + service ecosystem.
   • Focus deeply on a vertical (e.g., office, healthcare, education, hospitality) and build a trusted professional label in that domain.

6. In conclusion: The lighting industry is entering a phase of “redefinition”

If we imagine smart buildings and smart homes as spaces with a central nervous system, lighting has the opportunity to become one of the most important sensing + expression interfaces:

• It can perceive people and spaces, and be directly experienced by humans.
• It can connect energy consumption, health, mood, and brand experience.
• It can serve as a carrier for hardware + algorithms + services.

Of course, challenges abound: technology, standards, costs, ecosystem, and business models… But precisely because it’s difficult, the moat and opportunity belong to lighting professionals willing to upgrade.

If you are:

• Developing smart systems for buildings or homes;
• Considering how to make lighting more valuable in office, education, healthcare, or hospitality projects;
• Or aiming to move from selling fixtures to selling light-as-a-service or health-oriented experiences

…let’s connect and explore together: in the next stage of smart buildings and homes, what new possibilities can lighting create for people, spaces, and business?

In the previous article, “Popular Edition · Emotional Light”, we explored from a user perspective:

• Why products like SkyLight are so popular
• What it means for light to “look comfortable and make people look better”
• Why LRS conducts science-based research on emotional lighting

In this article, we shift the perspective to the industry side, exploring three advanced questions:

1. How can advanced Lighting Recipes upgrade current SkyLight-type technologies?
2. How to optimize visual + non-visual (circadian / emotional) experiences simultaneously?
3. How can hardware + platform + scenario create new experiences and commercial value across the full value chain — from manufacturers, designers, and channels, to engineering, operation, and end users?

1. From “Parameters” to “Recipes”

Emotional light in three dimensions

Traditional lighting speaks in parameters: illuminance, color temperature, CRI, power, UGR, flicker…

SkyLight-type products already apply a more advanced layer:

• Refined white-light character (chromaticity, Duv, perception of whiteness)
• Color performance aligned with TM-30 Color Preference
• Smooth dimming, color tuning, and flicker control

For advanced emotional lighting, the language must evolve from “single-point parameters” to recipes:

Lighting Recipe = Spectrum + Timing + Spatial Distribution
Plus:

• Metrics for visual experience
• Models for non-visual / emotional effects

Think of it as a three-dimensional coordinate system:

Visual Dimension

• Color: TM-30 / preference zones, skin tones, wood, plants
• White-light character: color temperature range, Duv, whiteness, “cleanliness”
• Visual comfort: glare control, brightness contrast, flicker, dynamic smoothness

Non-Visual Dimension (Circadian / Physiological)

• CIE S026 metrics: m-EDI, EML, CS
• 24-hour circadian curve: morning activation, daytime focus, evening transition, nighttime suppression
• Long-term exposure: weekdays/weekends, shifts, different time zones

Emotional / Cognitive Dimension

• LRS’s Limbic System Score (LSS) combines fMRI/EEG data with subjective emotion ratings
• Maps “light → limbic system response → emotion / stress / focus”
• Emotional targets by scenario:
  • Office: high focus, low fatigue
  • Medical waiting areas: low anxiety, moderate alertness
  • Living rooms: relaxation, joy, social connection
  • Hotel rooms: recovery, pre-sleep “slow down”

Professional emotional light recipes select points in this 3D space — shifting from “creating a pretty lamp” to designing reproducible light environments for specific emotional goals.

2. Methodology for Upgrading Visual + Non-Visual Experiences

Level 1: Comfortable and visually pleasing

• Sufficient and uniform illuminance
• Glare and flicker control
• Colors aligned with TM-30 preference zones
• White light appears clean and natural

Level 2: Circadian & time-based design

• Adjust illuminance, color temperature, and spectrum over morning, noon, evening
• Use m-EDI / EML / CS metrics to avoid overstimulation or sluggishness
• Adapt for different populations: children, elderly, night-shift workers

Level 3: Emotional light recipes & LSS

• Validate spectrum and dynamics with fMRI/EEG experiments
• Identify combinations that reduce stress, improve focus, or support recovery
• Translate results into programmable emotional light scenarios: Calm, Focus, Recover, Social, Pre-Sleep
• Lights become upgradable, customizable emotional media

3. Hardware + Platform + Scenario: Building an Experience Engine

Hardware: From “good light source” to “recipe carrier”

• Multi-channel light sources (RGB + white + other channels)
• Sensors for illuminance, spectrum, glare, IAQ (CO₂, TVOC, temp/humidity), noise
• DALI / D4i, Bluetooth Mesh, Zigbee connectivity

Platform: From “control” to “emotional navigation engine”

• Circadian algorithms: time, location, business type
• Emotional light recipe library based on LSS
• Adaptive adjustment via sensor feedback and user preference
• APIs for designers, consultants, building management, hotels, and apps

Scenario: From demo space to replicable solutions

• Home: 24-hour circadian plan + emotional presets
• Office / Education: multi-mode focus, collaboration, break
• Healthcare: stress-reducing waiting areas, patient recovery, night care lighting
• Hospitality: full-stay emotional experience from welcome to sleep

4. Full Value Chain Opportunities

Manufacturers:

• Recipe-ready hardware, calibration/reporting, combine with platform solutions

Designers / Consultants:

• Upgrade from fixture selection to “lighting recipe & emotional experience design”
• Charge for validated solutions + measurement reports

Distributors / Channel Partners:

• Bundle hardware + platform + basic scenes + measurement service

Engineering / Integrators:

• Beyond installation: commissioning, tuning, maintenance, and upgrades

End Users:

• Tangible experience improvements: employee state, customer dwell time, patient experience
• Measurable ROI on lighting investment: occupancy, revenue, retention

5. LRS’s Role

From “light measurement provider” → “partner in the emotional light ecosystem”

• Solid measurement: In.Licht devices as baseline for emotional light solutions
• Clear models: LSS research integrating circadian, emotional, and visual metrics
• Open ecosystem: Connect manufacturers, drivers, platforms, and consultants for collaborative recipe development

Summary:
SkyLight brought “visually pleasant and comfortable light” to the public.
The next step: upgrade it into a programmable, verifiable, and monetizable emotional light ecosystem.

Start small with a pilot space, use real data and experiences, and answer the question:

When light is not just for “seeing,” how can it enhance emotion, health, and business?

In 2025, if you follow home design, interiors, or lighting, you’ve probably seen SkyLight trending everywhere.

From Light + Building Frankfurt 2024 to Shanghai Design Week and Light + Building Asia 2025, SkyLight has become synonymous with “premium light” and “looks good, feels good.”

Many visitors to showrooms say:
“Wow, this light is so comfortable — people look amazing under it.”

But is this just marketing hype, or can light truly affect mood? And how does it relate to the “no-main-light” trend from previous years?

Today, we’ll explore this in a non-technical way:

• SkyLight isn’t a “no-main-light” concept — it’s bringing back the main light, upgraded.
• Behind these beautiful lights is a technical lineage: Telelumen → Hue → ADL/SDL.
• Engineers quantify what looks “good” visually.
• At LRS (Lighting Recipe Studio), we go one step further: studying light’s scientific impact on emotion and the brain.

1. SkyLight ≠ No-Main-Light

It’s more like “Main Light 2.0.”

• No-main-light: scattered downlights, strips, and spotlights instead of one central fixture.
• SkyLight: a premium central light, complemented by auxiliary lights, creating a sense of sky and atmosphere.

In short:

• No-main-light → “main light dismantled”
• SkyLight → “main light evolved”

It’s no longer just about brightness — it’s about lighting + ambiance + comfort for staying longer.

2. Where Does This “Premium Light” Come From?

Telelumen: Lab-based spectral tuning.

• Light is treated like music EQ — each wavelength adjustable to recreate morning, dusk, forest, cloudy scenes.

ADL / SDL: Engineering for “looks good and feels good.”

• ADL: smooth dimming & color transitions
• SDL: dynamic scenes for “sky” and time-of-day ambience

Philips Hue: Bringing scene-based lighting to homes.

• Color and scene control via app
• Sync with music, TV, sensors, or circadian schedules

Put together:

• Telelumen = lab-level spectral control
• ADL/SDL = engineers making it practical
• Hue = bringing it to users via app
• SkyLight = China’s market version: premium main light + scene + ambiance

3. How Engineers Define “Good-Looking Light”

• TM-30 metrics provide a quantifiable approach to what’s visually pleasing.
• Light is graded:
  • P1: Excellent — natural colors, slightly enhanced; skin, wood, plants look vibrant
  • P2: Good — most people satisfied
  • P3: Acceptable — not bad, but lacks premium feel

Simpler checks for users:

• Mirror test: skin looks healthy?
• Wood/fabric/plants look natural?
• Eye comfort: not tiring over time?

4. LRS Goes One Step Further: Light & the Brain

We measure beyond aesthetics: how light affects mood, stress, and focus.

LSS — Limbic System Score

• Uses fMRI, EEG, heart rate variability (HRV)
• Maps “light → limbic system → emotion / stress / focus”
• Combines lab data with real-life testing and questionnaires

Next step: integrating NIR + colored + white light to create reproducible emotional light recipes for relaxation, focus, recovery, and social scenarios.

5. Moving Beyond SkyLight

• SkyLight = upgraded main light built on Telelumen, Hue, ADL/SDL foundations.
• True visually pleasing light balances realism, aesthetics, and endurance (TM-30 P1/P2 grading).
• LRS aims higher: scientifically validated emotional light that’s measurable, designable, and repeatable.

If you work in:

• Products: SkyLight, emotional lights, tunable fixtures
• Spaces: offices, schools, hospitals, hotels, apartments, senior care
• Research: neuroscience, psychology, sleep, circadian rhythms
• Platforms: smart home, smart building, BMS/LMS

We welcome you to explore the next generation of emotional light with us.

Not just “does the light look good?” — but “can people thrive under this light?”

When Light Learns: The Beginning of Intelligent Illumination

Light is evolving — again.
Not in brightness, but in intelligence.
For decades, we’ve optimized watts, lumens, and cost per fixture. Yet the next breakthrough isn’t efficiency — it’s empathy.

AIoT (Artificial Intelligence + Internet of Things) transforms lighting into a learning ecosystem — where every luminaire becomes a node, every sensor a receptor, and every human interaction a feedback loop.

When light learns, it stops being a passive tool. It begins to sense, interpret, and respond to us — aligning illumination with wellbeing, rhythm, and emotion.

Three inseparable layers define this new architecture:
1️⃣ Hardware — the edge interface that measures and delivers light.
2️⃣ Platform — the algorithmic brain that learns from data.
3️⃣ Scene — the experience where design and emotion converge.

Healthy lighting is no longer about “seeing better.”
It’s about “living better.”
Through AIoT, light becomes human infrastructure — dynamic, responsive, and alive.

✨ The next advantage in lighting isn’t tunable color — it’s tunable evidence.

The Anatomy of Intelligent Light: Hardware × Platform × Scene

Smart lighting fails when it’s fragmented.
Truly intelligent light requires clarity — a structure that allows design, data, and human experience to align.

The LRS model defines three layers:
1️⃣ Hardware: Every luminaire is a data node — calibrated, addressable, measurable.
2️⃣ Platform: The AI layer interprets biological and spatial signals — learning to predict needs.
3️⃣ Scene: The outcome — a space that feels intuitive, efficient, and restorative.

When these layers connect, illumination becomes a living network — learning from behavior and adjusting in real time.
It’s not “automation.” It’s awareness.

This architecture doesn’t replace design — it amplifies intention.
It lets buildings listen, workplaces breathe, and homes care.

The future of lighting isn’t about devices.
It’s about orchestration.

Lighting for Life: From Visibility to Vitality

Light shapes our lives more than we notice.
It affects not only what we see, but how we feel, think, and heal.

Healthy lighting balances three dimensions of humanity:
1️⃣ Vision — visual comfort and clarity.
2️⃣ Rhythm — circadian alignment via vertical illuminance and spectral balance.
3️⃣ Emotion — mood and atmosphere shaped by color and luminance composition.

The WELL Light Concept gives us a framework — linking m-EDI, CS, and PstLM to measurable health outcomes.

Morning light activates, afternoon light sustains, evening light soothes.
Lighting is no longer decoration — it’s therapy in disguise.

When we measure light by how it supports life,
we stop designing for brightness — and start designing for balance.

Designing with Data: How AIoT Makes Health Visible

Design intent means nothing if it can’t be verified.
Field conditions change, reflections distort, human behavior varies.
That’s why data is design’s missing half.

At Lighting Recipe Studio, we use AIoT measurement systems (like In.Licht Pro & Well) to connect concept with evidence — measuring EML, flicker, spectral balance, and circadian relevance in real space.

When light is measured, not assumed, health becomes visible.
Design evolves into a continuous loop:
→ Simulate → Measure → Adjust → Verify → Report.

This is not supervision. It’s learning in motion.
It transforms design into an ongoing conversation between light, space, and human biology.

In this world, data isn’t cold.
It’s empathy quantified.

Rethinking R&D: Doing Less, Doing Right

The lighting industry spends billions on R&D — but too often, not wisely.
Innovation is diluted when resources chase legacy categories instead of future value.

The new logic is simple:
• Do less, but do it right.
• Focus on algorithms, sensors, data, and design logic — not redundant hardware.
• Every R&D cycle must create an asset: code, patent, data, or scene template.

R&D isn’t a cost — it’s a profit engine for knowledge.
Invest → Validate → Reuse → License.

When we treat light as intelligence, every iteration compounds learning — not inventory.

💡 The future belongs to companies that innovate with purpose, not volume.

From Manufacturer to IoT Enterprise Built on Light

The most transformative lighting companies won’t be manufacturers — they’ll be IoT enterprises built on light.

Hardware will always matter, but the true differentiation lies in ecosystem intelligence — connecting light with data, air, temperature, and human comfort metrics.

Every luminaire becomes a data interface, every building a learning organism.
Success will be measured not by production capacity, but by integration capability — how well your light communicates, learns, and adapts.

This is not evolution.
It’s a redefinition of identity.

 Light as a Service: The Next Decade of Lighting

Lighting’s business model is changing.
Tomorrow’s leaders won’t sell products — they’ll sell performance, wellbeing, and continuity.

Light as a Service (LaaS) transforms one-time projects into ongoing partnerships:
🔹 Hardware deployment
🔹 Platform subscription
🔹 Performance analytics and WELL alignment

This model aligns profit with impact.
Clients pay not for equipment, but for measurable improvement — in health, energy, and human performance.

In the 3–30–300 model, lighting’s impact extends far beyond energy (3%) and space (30%) — it touches the 300% layer: human productivity and wellbeing.

Lighting’s next decade belongs to those who build trust through transparency, and value through data.

As hardware prices drop and margins continue to shrink, the lighting industry’s breakthrough won’t come from “brighter lamps,” but from building a smarter ecosystem. Light As A Service (LaaS) transforms light into a form of connection, an experience, and a sustainable business model.

From Product Logic to Platform Logic

After four major transitions—Incandescent → LED → Smart → AIoT—companies that remain stuck in the “sell devices, sell one-off projects” mindset will be increasingly marginalized. Future competition won’t be about individual products but ecosystems:
Hardware as the entry point, platform as the core, and scenarios as the value output.

A Three-in-One Model: Hardware + Platform + Scenarios

Hardware: Functions as data entry and execution nodes; every luminaire becomes a measurable “node asset.”
Platform: Uses algorithms to learn metrics like mEDI, CS, and Pst LM, enabling lighting to evolve from passive control to self-learning.
Scenarios: Deliver standardized, verifiable experience outcomes across offices, healthcare, education, hospitality, and more.

Light as a Service (LaaS): From Selling Devices to Selling Experiences

By integrating hardware deployment + platform subscription + data insights, companies build long-term relationships: one contract, continuous optimization, annual revenue.

Lighting companies shift from project-based cash flow to subscription-based cash flow, while clients shift from procurement costs to measurable operational investments.

From Jan Denneman / LpR #111

The Value Shift in the 3-30-300 Model

In the 3-30-300 model, a building’s energy costs account for roughly 3, rent accounts for 30, while the value of human productivity accounts for 300. What lighting truly amplifies is the “300” dimension — health and performance.

When light improves alertness, focus, and mood, LaaS transforms lighting from a cost into an investment.

Action Guidelines

1. Rebuild the business model: Shift to selling lighting performance and circadian health indices.
2. Establish a lighting recipe library: Validate scenario templates through data — replicable and licensable.
3. Create compounding value through data: Each project contributes algorithms and reports, forming a defensible knowledge moat.
4. Collaborative development: Build an ecosystem with universities, hospitals, and BMS/LMS platforms.

Vision

When light becomes an infrastructure that can be subscribed to, measured, and continuously optimized, lighting companies will evolve from manufacturers into health operators for spaces and cities.
Use light to create connection; use connection to define value.

In recent years, the lighting industry has reached a crossroads. Fluctuating raw material prices, weak exports, and declining domestic demand have left most companies in a situation where the more they produce, the thinner their profits become. The benefits brought by the widespread adoption of LEDs have largely disappeared. While “smart lighting” and “healthy lighting” are widely discussed, few initiatives have truly been implemented.

The pain points of the industry are not technological—they are logical. Products increasingly resemble mere components, and solutions are increasingly caught in price wars. R&D investment keeps climbing, yet innovation outputs are disconnected from commercial returns. Companies are caught between the fear of missing new trends and the worry that their investments might become bottomless pits.

However, new answers are emerging. AIoT is not just about “smart control”—it’s an opportunity to reshape the entire lighting value chain.

When light can learn, respond, and validate health and energy efficiency—lighting finally has the chance to move from “manufacturing” to “services.”

LEDs made light controllable; AIoT makes light capable of thinking. The second growth curve for lighting is no longer about “selling lumens,” but about delivering health and efficiency through data and scenarios.

1. Why embrace AIoT now?

• Competition shifts from “hardware stacking” to “data and services.”
• Customer goals: energy savings, comfort, health, and efficiency—not just more fixtures.
• Open connectivity (DALI-2 / Matter / Bluetooth Mesh) becomes mainstream; ecosystem advantages outweigh single-point products.

2. How should R&D focus transform?

• Divide R&D into two categories:
  • Innovation R&D: algorithms, platforms, human-centric lighting (HCL)
  • Product engineering: structure, integration
• Traditional fixture R&D should control costs and focus resources on high-growth potential areas.
• KPIs shift from “number of projects” to “number of patents/algorithms, reusable scenario templates, and time-to-market.”

3. Healthy Lighting (HCL): The best entry point for AIoT

• Human-centric: focus on circadian rhythm and emotion, not just brightness and energy efficiency.
• Metrics-driven: prioritize m-EDI and vertical illuminance during the day; control blue-light stimulation (CS) at night.
• Scenario-based applications: morning activation, afternoon focus, evening relaxation, nighttime blue-light suppression—forming callable “lighting recipes.”

4. From “Fixtures” to “Smart Light”

• Sensor integration: unify light, air, temperature/humidity, occupancy, and behavior data in the cloud.
• Self-learning capability: develop differentiated strategies based on time, people, and space (suitable for offices, hospitals, hotels, schools, etc.).
• Verifiable value: include energy savings, comfort, and health metrics in contracts and reports to present measurable returns.

5. How should organizations collaborate?

• Core capabilities in-house: optical algorithms, communication architecture, data standardization.
• External collaboration: co-develop with universities, medical/sleep research institutions, and BMS/LMS platforms.
• Modular design: spectral modules, drivers, sensors, layered AI design—to reduce materials and integration costs.

6. 12-Month Execution Checklist (Directly Applicable)

• Investment structure: Traditional LED lighting < 20%; AIoT / healthy light ≥ 60%; collaborative R&D ≈ 20%
• 3D KPIs: number of patents/algorithms, new LaaS contracts, circadian health improvement rate
• Innovation center: link R&D—validation—commercialization; monthly review meetings
• Connectivity standards: prioritize DALI-2 / Matter / Bluetooth Mesh; avoid proprietary protocol constraints
• Scenario assets: develop 10 “lighting recipe” templates covering offices, hotels, healthcare, education, etc.
• Pilot projects: establish at least 2 measurable demonstration sites (including baseline data and comparative reports)
• Collaboration network: join at least 1 international organization and 1 local alliance to connect standards and communication channels
• Release schedule: quarterly minor updates (algorithms/templates), milestone releases every six months

7. How to achieve commercial value?

• Shift from selling products to delivering results: use “metric achievement” and “continuous optimization” as selling points, charging monthly or annually for services (LaaS).
• Build a moat with patents and algorithms: increase solution reuse and expand gross margins.