The Hidden Facts in Smart Eye’s Design Wins Chart - Proposing a Rule of 40 valuation for the future

Prologue: Why a Wireless and Optical Tech Guy Is Writing About $SEYE

I spend most of my professional life thinking about technology and products. As former CEO of Sivers Semiconductors and now leading Dirac Research, I have spent nearly a decade in the wireless and optical semiconductor. Over the last 2 years I entered into automotive. So far my analytical work on Substack and X has focused primarily on photonics, mmWave semiconductors, and the AI infrastructure buildout. Smart Eye is neither. So why am I writing about them?

I have followed Smart Eye in parallel with Sivers Semiconductors for years on the Swedish small-cap market, and the structural similarities between the two companies are difficult to ignore. In 2016 SEYE Net Sales was SEK 40m (SIVE app SEK 20m). In 2025 both approx. 10-12x Net Sales, done some buy side M&As and are now about to enter their inflection points.

Both went public (Nasdaq First North 2016/2017) years before their addressable markets fully materialized. Both raised capital repeatedly through share issues to fund the gap between contract wins and revenue realization. Both accumulated design wins from major customers that took far longer than expected to convert into recognized revenue. Both had been characterized by financial media as companies that can not execute. Both are now in the early phase of what appears to be a mechanical revenue ramp from already-signed contracts, with inflection catalysts accelerating revenue in the coming years.

Building Sivers in parallel 2016-2024 has been instructive for how I read Smart Eyes position today. The pattern of skepticism, delayed inflection, and then starting to see the acceleration is quite exacting for two so different but yet “Sister Compnies” for many years at the same First North list.

My current role at Dirac Research adds a second lens. Dirac operates in the automotive supply chain as a software provider to OEMs and Tier 1 suppliers. I now spend meaningful time in the same industrial ecosystem where Smart Eye competes. I have direct operational familiarity with automotive design win cycles, the mechanics of Tier 1 supplier relationships, royalty-per-vehicle contract structures, and the multi-year lead times between contract award and volume production. These are not abstract concepts to me, they are the operational realities I encounter in Dirac’s own commercial pipeline.

This dual perspective matters for how I read Smart Eye. When Smart Eye reports 125 design wins in production, I understand what that number represents in terms of OEM commitment, integration work, and locked-in future revenue. When management guides toward 200-250 wins in production by year-end 2026, I can assess whether that pace is plausible against automotive industry norms. When the company reports a Tier 1 software supplier deal with a Japanese OEM, I recognize the structural significance of that positioning.

I am not a Smart Eye insider. I have no unique access to their commercial pipeline or customer relationships. But the analysis that follows draws on operational familiarity with automotive design win economics that most financial analysts covering this stock do not have, and on the pattern recognition of watching a structurally similar Swedish small-cap company go through the same inflection cycle in parallel.

The company I have led as CEO and the company I now lead both operate in industries where design wins create backlog long before they create revenue, where regulatory catalysts drive multi-year adoption curves, and where the gap between contract and cash flow is often mistaken for weakness rather than pipeline. That is exactly the situation I see in Smart Eye today.

What follows is my read of the data.

Stock Information (11 August 2026):

Ticker: SEYE.ST (First North Stockholm) / SMTEF (OTC Pink)

Share Price: SEK 97.95

Shares Outstanding: 39,198,762

Market Cap: SEK 3.84 billion (~$365M USD)

P/S: 8.61x

Gross Margin: 87.7%

Q1 2026 Revenue: SEK 126.5M (+40.4% YoY)

Q2 2026 Report: 26 August 2026 (15 days away)

EU GSR full activation: 7 July 2026 (active for 5 weeks)

About Smart Eye: Six Years of Frustration, Now Convergence

Smart Eye AB is a Swedish software company founded in 1999 and headquartered in Gothenburg. The company builds AI-powered systems that analyze human attention, eye movement, and behavior, initially for academic research, later for the automotive industry, and increasingly for adjacent verticals including impairment detection and commercial fleet safety.

The company has approximately 270 employees and operates across three main business areas: Automotive Solutions (driver monitoring, interior sensing, authentication, intoxication detection), Behavioral Research (eye tracking instruments for academic and commercial research, including the iMotions software platform), and a smaller but rapidly growing Aftermarket Intelligent Systems business serving commercial fleets.

To understand today’s situation, it helps to understand the history. Smart Eye went public on Nasdaq Stockholm in 2016. Between 2018 and 2022, the company won hundreds of design wins from major automotive OEMs, anticipating that the EU General Safety Regulation and Euro NCAP rating changes would create a structural market for DMS technology by mid-decade. Analysts including Redeye published bullish base case targets of SEK 155-160. Affärsvärlden, in early 2024, projected SEK 1 billion in revenue for 2026. Both proved too optimistic on timing.

What followed was four years of frustration. Chip shortages delayed production starts. COVID disrupted automotive supply chains. The transition to software-defined vehicles created integration complexity OEMs had not anticipated. Design wins that should have entered production in 2022 where pushed to 2024 or 2025. The market increasingly characterized Smart Eye as a company that won contracts but could not convert them to revenue and the share price reflected that skepticism, falling from peaks above SEK 250 in 2020-2021 to lows below SEK 50 in 2024.

The competitive landscape during this period also evolved. Seeing Machines, an Australian peer, accumulated more vehicles on the road through earlier-stage deployments. Tobii acquired a US DMS business to compete more directly. Mobileye signaled intent to integrate DMS into its EyeQ system-on-chip platform, threatening to bundle the functionality at scale. Cipia targeted the low-cost segment with Israeli engineering and SoC partnerships. Smart Eye’s premium positioning came under question.

What changed in Q1 2026 is that the production ramp finally arrived. Automotive Solutions grew 122% organically year-over-year. Royalty revenue specifically grew over 200%. EBITDA improved by SEK 44.8 million. The company guided for 200-250 vehicle models in production by year-end 2026, double the count at year-end 2025. And critically, this acceleration occurred before the EU GSR mandate took full effect on July 7, 2026.

We are now five weeks into EU GSR implementation, and the Q2 2026 report is 15 days away. Independent sell-side data from Redeye and Seeing Machines’ own Q4 FY2026 report published earlier today have both validated the acceleration thesis. The rest of this piece walks through the framework for interpreting what the Q2 report will reveal.

There is a chart in Smart Eye’s 2025 Annual Report that contains more information than any analyst report I have read on the company. It is buried on page 13. It shows the number of design wins in production by year, with a single forward-looking estimate for 2026.

Design Wins in Production chart from Smart Eye Annual Report 2025:

The chart says this: Smart Eye expects 200-250 design wins in production by the end of 2026, up from 125 at year-end 2025. That is a doubling, in one year, of the number of vehicle programs generating royalty revenue.

This is not an analyst projection. It is management’s own guidance, published in an official annual report filed with shareholders. And it is the central piece of evidence in what I believe is one of the most clearly mispriced Swedish small-cap stories in the market today.

This piece walks through five facts that the design wins chart reveals, facts that are individually visible to anyone reading the annual report, but collectively underappreciated by the analyst community covering the stock. The stock has moved from SEK 89.7 at Q1 disclosure to SEK 97.96 today, but the Q2 report on August 26 will be the next major test. This means readers discovering this analysis now have approximately two weeks before the market receives fresh quantitative validation or challenge to the cohort thesis.

My core argument of this piece is that Smart Eye is transitioning into a Rule of 40+ software business, and Rule of 40+ software businesses trade at premium multiples. The market has not yet fully priced this transition.

Fact One: The Production Acceleration Is Convex, Not Linear

Design wins in production at year-end: 250

This is not steady growth. It is acceleration. The annual addition is growing both in absolute terms and as a percentage of the prior year base. Wins added in 2024 (+35) were 75% more than 2023. Wins added in 2025 (+50) were 43% more than 2024. Wins guided for 2026 (+75-125) represent 50-150% more than 2025.

This pattern is characteristic of an S-curve transition the period when accumulated contract wins begin materializing in production at a pace that compounds. In automotive software, design cycles run 5-7 years from nomination to production start. Smart Eye won the bulk of its current production wins between 2019 and 2022. The acceleration we see in 2024-2026 is the result of contract wins that were already documented four to seven years ago.

The wave hence is not speculative. It is scheduled.

Fact Two: The Accumulated Order Value Is SEK 14.2 Billion

The single most important data point in the entire annual report appears in a small chart on page 7, easily missed:

Estimerat ordervärde från Design Wins chart from Smart Eye Annual Report 2025;

Compare this to 2025 revenue of SEK 404 million.

Smart Eye has an accumulated design win order value equivalent to 35x annual revenue. This is not speculation about future contracts, it is already contracted order value to be realized over each vehicle model’s production lifecycle, typically seven to ten years.

With a conservative seven-year average lifecycle:

Confirmed value of SEK 8,725M ÷ 7 = ~SEK 1,246M/year at full ramp

Potential value of SEK 5,505M ÷ 7 = ~SEK 786M/year at full ramp

Total Automotive run-rate at full backlog realization: ~SEK 2,032M/year

This figure includes only wins already secured. Any new wins won between now and 2030 add on top of this baseline.

Beyond DMS: The Non-Automotive Business Lines That Are Often Overlooked

Most analyses of Smart Eye focus on automotive driver monitoring because that is where the dominant revenue acceleration comes from. But the company has three additional business lines that collectively represented approximately 55% of 2025 revenue and provide meaningful diversification plus optionality for 2030.

Behavioral Research (~52% of 2025 revenue):

This is Smart Eye’s original business, dating to the early 2000s. The company sells eye-tracking instruments and software to academic researchers, marketing firms, neuroscience labs, and government agencies. Customers include Harvard, NASA, Boeing, Airbus, and over 1,300 research institutions globally. Through the iMotions software platform, acquired in 2021, the business expanded into multimodal human behavior research — combining eye tracking, facial expression analysis, biometric sensors, and emotional state recognition.

This segment generated SEK 208.7 million in 2025, down slightly from SEK 220.6 million in 2024, essentially flat with currency headwinds masking modest underlying activity. Redeye estimates SEK 203M for 2026 (-3% y/y).

For modeling purposes, I assume Behavioral Research grows at 3-5% annually through 2030 — reaching approximately SEK 250 million.

Aftermarket Intelligent Systems (AIS):

This segment supplies retrofit DMS systems for commercial vehicles — trucks, buses, mining equipment, and fleet vehicles that were not equipped with DMS at manufacture. The business operates a different model from the automotive royalty business: hardware-plus-software sales rather than per-vehicle royalties, with margins in the 50-55% range rather than 85-95%.

The AIS segment had two important developments in 2025-2026. First, an order from Spanish company Optix in October 2025 to retrofit 4,000 commercial vehicles in Europe — a meaningful proof point that fleet operators are voluntarily adopting DMS ahead of regulatory mandates. Second, expansion into the heavy commercial vehicle segment where EU GSR mandates DMS for new trucks and buses sold in Europe from July 2026 onward — now in effect. The aftermarket opportunity to retrofit existing fleets is substantial — approximately 6 million trucks and buses operate in Europe that could potentially be retrofitted over the next decade.

For modeling purposes, I assume AIS revenue grows from approximately SEK 50 million in 2025 to SEK 150-200 million by 2030.

Sightic Analytics (acquired February 2026):

Sightic is the smallest but potentially most strategically important addition. The company, acquired for SEK 60.5 million in February 2026, specializes in alcohol and drug impairment detection using camera-based behavioral analysis. Sightic had already secured initial design wins with Japanese OEMs for alcohol detection systems with a combined lifetime value of approximately SEK 200 million.

Post-acquisition, Smart Eye signed a multi-year contract with a European police agency for drug impairment detection systems used in roadside testing — a different customer segment from automotive but using similar underlying technology.

The strategic logic is that impairment detection is becoming the next regulatory frontier after attention monitoring. The US has been debating federal mandates for alcohol detection in new vehicles for several years. If any of these materialize, Sightic positions Smart Eye to capture a share without significant additional development cost.

For modeling purposes, my base case assumes Sightic plus related impairment detection revenue reaches SEK 100-200 million by 2030. This is the segment with the widest range of potential outcomes.

The combined non-DMS picture:

These three segments collectively account for approximately SEK 220 million of 2025 revenue. By 2030, they may contribute SEK 500-650 million combined, against SEK 2.0 billion in automotive royalty. The proportion changes dramatically as automotive scales, but the absolute contribution roughly doubles.

This matters for two reasons. First, it provides downside protection, if automotive DMS materializes more slowly than the cohort model suggests, the non-DMS business lines still provide a meaningful revenue base. Second, it provides upside optionality — if Sightic or impairment detection regulation accelerates, the non-DMS contribution could exceed base case estimates substantially.

The thesis is not “Smart Eye is purely a DMS bet.” It is “Smart Eye is a human insight AI platform with DMS as the largest and most predictable growth driver, plus several adjacent revenue streams that provide diversification and optionality.”

The Moat: Why Smart Eye Keeps Winning the Design Wins

Before extrapolating revenue, the underlying question must be addressed: in a market with multiple competent competitors: Mobileye, Cipia, Seeing Machines, Tobii, plus in-house OEM development teams, why does Smart Eye continue accumulating design wins?

The honest answer is that the moat is not a single feature. It is a combination of factors that compound over time, and each on its own would not be sufficient. Together, they create a structurally favorable position that is difficult to displace.

The hardware-agnostic software layer position. The software runs on NVIDIA DRIVE, Qualcomm Snapdragon Cockpit, Texas Instruments, Ambarella, and others. This matters because the modern automotive industry is consolidating around software-defined vehicles where the OEM chooses the SoC late in the design cycle. An OEM that picks NVIDIA today and Qualcomm tomorrow for a different platform can use Smart Eye in both. A vendor locked to one SoC ecosystem cannot.

A decade of production-grade edge cases. Computer vision software for DMS sounds straightforward until you encounter the actual edge cases that production deployment requires. Sunglasses with reflective coatings. Drivers with eye conditions. Lighting transitions from tunnels to bright sun. Cultural variation in head movement patterns. Camera placement variations between vehicle models. They are operational realities that automotive QA processes test against, and that disqualify systems which have not encountered them at production volume. Smart Eye has been deploying DMS software in serial production since 2018 over six years of accumulated edge case learning that new competitor entering today cannot match for several years.

The switching cost that compounds each production year. Once an OEM has Smart Eye software in serial production on a vehicle platform, the cost of switching is substantial. The platform-level integration work, the safety certification process, the validation testing across edge cases, the supplier qualification documentation, all of this must be redone with a new vendor. For a vehicle platform with 5-7 years of production ahead of it, switching makes no economic sense unless the incumbent fails catastrophically. The company reports only 12 exited wins out of 372 over recent years — a 3% attrition rate. The backlog is not just a sales pipeline; it is a structural commitment locked in by switching costs.

The Tier 1 software supplier position. Traditional automotive supply chains place software vendors as Tier 2 or Tier 3 suppliers, they sell software to Tier 1 hardware vendors (Bosch, Continental, Aptiv) who integrate and sell complete systems to OEMs. Smart Eye announced its first Tier 1 software supplier deal with a major Japanese OEM in 2025, valued at SEK 200 million for two vehicle models. This is structurally different from traditional positioning. As a software-only Tier 1, Smart Eye captures more of the value chain, has direct relationships with OEM engineering teams, and is involved earlier in vehicle development cycles.

The major competition

Seeing Machines is the most direct peer and a genuinely strong competitor. Their Q4 FY2026 report published this morning (August 11, 2026) shows 2.11M vehicles produced in calendar Q2 2026 (+64% q/q, +333% y/y), full-year FY2026 production of 4.49M vehicles (+195% y/y), and automotive royalty revenue of USD 33.9M (+135% y/y). Cars on road with Seeing Machines technology rose 120% y/y to 8.2M. This is genuinely strong data and validates the DMS market thesis from a competitor’s perspective.

Redeye’s read on the competitive positioning is worth quoting directly: “We judge Smart Eye to be tracking just a notch behind Seeing Machines in cars produced per quarter, but will likely overtake Seeing Machines as it has been more successful in securing design wins outside of the EU that will enter production during 2027, for example with Toyota.”

This is significant, projecting that Smart Eye will surpass Seeing Machines in production volume during 2027 — driven by non-EU design wins including Toyota. The moat analysis has argued that Smart Eye’s Tier 1 software supplier positioning with Japanese OEMs would prove structurally valuable. Redeye’s commentary supports this thesis with a specific customer name.

Mobileye is a stronger structural threat than is sometimes acknowledged. Their EyeQ6L SoC integrates DMS directly with ADAS perception in a single chip, eliminating the need for a separate DMS ECU. For OEMs prioritizing bill-of-materials cost, this is attractive. Mobileye recently won a major US OEM program expected to span millions of vehicles starting in 2027. The mitigating factor for Smart Eye is that Mobileye competes on architecture and bundling rather than on best-in-class DMS algorithms, and their threat is to new wins from 2027 onward rather than to Smart Eye’s existing backlog already locked into Tier 1 contracts.

In-house OEM development is a structural long-term risk for all external DMS vendors. Which I am not going to spend time on now.

Per-Vehicle Pricing and growth

The per-vehicle royalty assumption is critical to any revenue model for Smart Eye. Redeye’s analysis published this morning provides specific data points:

Smart Eye estimated ASP: SEK 42 per vehicle (Redeye characterizes their own estimate as “slightly on the conservative side”)

Seeing Machines H1 2026 ASP: SEK 70 per vehicle (down from SEK 79 in H2 2025)

Seeing Machines incremental royalties added H1 2026: SEK 65 per vehicle

The gap between Smart Eye (SEK 42) and Seeing Machines (SEK 65-70) is real and requires explanation.

I think that the the most likely explanation is volume-based pricing, which is industry standard in automotive software royalty contracts. An OEM guaranteeing 500,000+ vehicles per year over a seven-year program negotiates lower per-vehicle pricing than an OEM guaranteeing 50,000 vehicles per year. The total contract value scales with volume; the per-unit price scales inversely.

Smart Eye and Seeing Machines have pursued different commercial strategies that produce comparable total economics in different forms:

Smart Eye has won contracts with high-volume OEMs. The blended per-vehicle royalty is lower, but total program value is higher.

The implication for valuation is that volume scaling, not price scaling, is the primary revenue driver through 2030. Investors expecting per-vehicle pricing to converge with Seeing Machines should not expect that, the difference reflects portfolio mix, not pricing power weakness.’

Year-over-year quarterly growth has progressed from +18% in Q1 2025 to +110% in Q1 2026 and Redeye’s revised Q2 estimate implies +194% acceleration. This is not steady growth. This is a step change.

Critically, the acceleration through Q2 2026 occurred before the EU General Safety Regulation mandate took full effect on 7 July 2026. Redeye’s own analysis: “Q3 2026 looks to be the first quarter with full EU penetration” — meaning the largest catalyst is still ahead.

The Q1 2026 report disclosed that royalty revenue specifically grew over 200% year-over-year. Automotive Solutions organic growth reached 122% in the quarter. Redeye’s revised Q2 estimate of SEK 122.1M represents +49% sequential growth from Q1’s SEK 82.1M, an extraordinary quarterly ramp for any company at this stage.

The historic pattern of delayed inflection points has clearly broken. The royalty engine is operational, the production curve is steepening, and the regulatory tailwind has activated.

Royalty per vehicle produced: Recurring revenue over the production lifecycle. Gross margin approximately 85-95%.

The royalty share of total Automotive revenue is increasing rapidly. The Q2 2026 EBITDA-CAPEX transition to positive territory, Redeye’s estimate is SEK 19.9M at 12% margin is a structurally significant milestone. This is the first quarter in company history where the business generates cash after all investment costs. This transition typically triggers meaningful multiple expansion in growth software businesses.

EBIT margin trajectory:

2025: -40.6%

2026e (Redeye): 37% EBITDA margin

2027e (extrapolated): 42% EBIT margin

2028e (extrapolated): 44-46% EBIT margin

2029e (extrapolated): 45-48% EBIT margin

2030e (extrapolated): 45-48% EBIT margin

These margins are not aspirational. They are characteristic of software businesses at maturity when royalty represents a clear majority of revenue.

Assumptions:

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