Privacy & Trust

If the product is free, you're the product.

Most tech companies offer free services funded by monetising your data. Some security camera companies follow this model—cheap hardware subsidised by sharing behavioural data with advertisers and marketing partners. scOS is different: you pay for security. We make money by making your life simpler and safer—not by exploiting your data.

Your Data
Privacy Barrier
Advertisers
Data Brokers
Third Parties

Your data: Footage and insights from your property.

Your Data

No data selling — you're the customer, not the product

Ready to protect your property at the boundary?

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From £19/month · Professional installation included

The Problems You Know Too Well

Traditional CCTV fails you when it matters most

Free services mean you're the product

Security camera company offers free cloud storage and attractive hardware pricing. Sounds great until you read the privacy policy: they analyze your footage for behavioral insights, sell aggregate data to advertisers, share information with third-party partners. The camera wasn't cheap—you're paying with your privacy.

Your security cameras build advertising profiles

Your cameras see when you're home, when you're away, what cars you drive, who visits, when packages arrive, what time you typically leave for work. This behavioral data is valuable to advertisers. Companies aggregate it, anonymize it supposedly, and sell insights to marketers who want to target people like you.

Your footage data might increase insurance rates

Insurance companies want data about your property, lifestyle, risk factors. Some security companies sell anonymized behavioral insights to insurers—patterns indicating risk, claim likelihood, lifestyle factors. Your security cameras become surveillance tools that help companies charge you more.

Privacy terms change, data use expands

You signed up when the company promised never to sell data. Two years later, they're acquired. New ownership updates terms of service: footage now analyzed for AI training, behavioral data shared with partners, advertising integrations enabled. Years of recordings suddenly subject to new commercial uses.

You're trusting their incentives align with your privacy

Companies promise to respect privacy while also answering to investors who demand growth. When growth slows, pressure increases to monetize user data. Even sincere privacy commitments erode under financial pressure. You're hoping their business interests don't conflict with your privacy interests.

What if your home defended itself?

Not just watching. Not just recording. Actually stopping threats before they reach your door.

How It Works

No Data Selling in action

Step 1

Revenue From Security, Not Data

scOS business model is transparent: you pay for hardware and subscription services. That's our revenue. We don't need secondary income from selling your data because security services generate sustainable revenue. Profitability through security protection, not privacy invasion.

Step 2

No Advertising Partners or Data Brokers

scOS has no relationships with advertising networks, data brokers, or marketing companies. No aggregate data sales. No anonymized behavioral insights. No third-party data sharing agreements. We don't participate in the data economy because we're not in the surveillance business—we're in the security business.

Step 3

No AI Training on Customer Data Without Consent

Many companies analyze customer footage to train AI models—person detection, object recognition, behavioral analysis. scOS develops AI using only synthetic data and voluntary contributions from customers who explicitly opt-in. No AI training on your footage unless you specifically choose to help improve our models.

Step 4

Contractual Prohibition on Data Monetization

scOS Terms of Service include explicit prohibition on selling, sharing, or monetizing customer data. Section 10A of our Terms creates a binding contractual commitment—violation would constitute material breach giving customers legal recourse. See our Data Ethics Zone for detailed explanations of how we handle your data.

Step 5

Transparent Business Model Published Publicly

Our business model is public and verifiable: revenue comes from hardware sales and security subscriptions. Financial statements show no data monetization revenue. We're transparent about how we make money so you can verify privacy claims against business reality.

AI Decision Examples

See how scOS thinks

Real scenarios showing how the AI distinguishes between threats and everyday activity.

Advertising company approaches scOS: 'We'll pay significant revenue to access anonymized behavioral data from your customer base.'

Action: scOS declines regardless of financial offer. Business model doesn't include data monetization. Contractual commitment to customers prohibits data selling. Revenue opportunity rejected to preserve privacy principles.

IGNORED

Insurance company requests aggregate data: 'We want general statistics about property security patterns in different postcodes.'

Action: Even aggregate, anonymized data requests are declined. scOS doesn't participate in data sharing economy. Insurance companies must conduct their own research without accessing customer information through us.

IGNORED

Market research firm offers to purchase anonymized footage for retail behavior analysis.

Action: Footage is never sold, shared, or analyzed for third-party purposes—anonymized or not. Research firm directed to collect their own data rather than purchasing customer privacy.

IGNORED

Data broker requests to partner on 'privacy-preserving' data aggregation program.

Action: No partnerships with data brokers regardless of privacy-preserving claims. scOS doesn't participate in data economy infrastructure. Business model doesn't require or permit data monetization relationships.

IGNORED

Customer opts into voluntary AI training program, explicitly consenting to footage use for model improvement.

Action: Customer's voluntary contribution is accepted with strict limitations: footage used only for scOS AI model training, never shared with third parties, never used for advertising purposes, deleted after training completed. Even with consent, commercial data use is prohibited.

LOGGED

Investor pressure to explore data monetization as revenue diversification strategy.

Action: Company leadership rejects investor pressure. Data selling would violate contractual commitments to customers and fundamental business principles. Investors informed that privacy-first model is non-negotiable aspect of company identity.

IGNORED

These are simulated examples of how scOS AI analyses and responds to activity at your property.

Traditional CCTV vs scOS

See why intelligent security is the new standard.

FeatureTraditionalscOS
Revenue modelHardware + subscriptions + data monetizationHardware + subscriptions—period
Advertising partnershipsCommon revenue sourceZero partnerships, prohibited by design
Data broker relationshipsOften undisclosed in privacy policiesNone—explicit contractual prohibition
AI training on your footageStandard practice, opt-out if availableOnly with explicit opt-in consent
Behavioral data salesAnonymized aggregate data often soldNever—no participation in data economy
Future data useTerms change, new uses addedContractually prohibited from data monetization

Why Business Model Determines Privacy

Privacy policies describe what companies claim they won't do. Business models reveal what companies are incentivized to do.

When a company's revenue depends on data monetization, privacy policies become obstacles to overcome. Legal teams find ways to extract value from user data while technically complying with privacy promises. Anonymization, aggregation, third-party partnerships—techniques that satisfy legal requirements while enabling data sales.

When a company's revenue comes from security services, privacy is competitive advantage. Better privacy attracts privacy-conscious customers. Data breaches and privacy violations are business risks, not just PR problems.

scOS makes money from security subscriptions. Our incentives align with your privacy. We profit by protecting you—not by surveilling you.

The Hidden Economics of Free Security Cameras

Tech companies have normalized the free-service-funded-by-data-sales model. You use Gmail, Facebook, Instagram without paying. The service is free because you're the product—your data, attention, and behavior are monetized.

This model is creeping into home security. Companies offer cheap cameras and free cloud storage—too cheap to be sustainable from hardware sales alone. The business model requires secondary revenue. That revenue comes from your data.

Behavioral insights are sold to advertisers. Your cameras reveal patterns: when you're home, when you're away, daily routines, visitors, package deliveries. This data is valuable to advertisers building targeting profiles. Security companies aggregate it, claim it's anonymized, and sell insights to marketing platforms. Your security system becomes a surveillance tool that subsidizes cheap hardware.

Footage trains AI models sold commercially. Person detection, facial recognition, object classification—these AI capabilities are valuable to many industries beyond security. Some companies train AI on customer footage, then license these models commercially. Your private property becomes unpaid training data for products sold to others.

Insurance companies pay for risk assessment data. Insurers want better risk models. Security camera data reveals behaviors that predict claims: property maintenance, visitor patterns, lifestyle indicators. Some security companies sell anonymized aggregate insights to insurance industry—data that helps insurers charge higher rates to riskier customers identified through their own security systems.

Data brokers aggregate and resell information. The data economy includes brokers who aggregate information from multiple sources, enrich it, and resell insights. Security camera companies contribute behavioral data that combines with purchase history, location data, online behavior to build comprehensive profiles sold to anyone willing to pay.

Law enforcement partnerships create indirect surveillance. Some companies provide law enforcement access to customer footage without customer knowledge or warrants. While not direct data selling, these partnerships create surveillance infrastructure that transforms private security into public monitoring systems.

This is how cheap cameras get subsidized. Not through venture capital altruism—through monetizing your privacy.

The If It's Free, You're the Product Reality

Ring exemplifies how free services compromise privacy. Amazon provides free cloud storage for Ring recordings—seemingly generous. The reality: Ring footage trains Amazon's AI, contributes to Alexa's computer vision capabilities, and integrates with Amazon's broader data ecosystem.

Ring's Neighbors app turns customers into unpaid surveillance network contributors, sharing footage with nearby users and law enforcement. Ring partnered with over 2,600 police departments for direct video request access. Amazon positions this as community safety. Privacy advocates see it as distributed surveillance infrastructure where your security cameras become public monitoring tools.

You're not paying with money—you're paying with footage, data, and privacy.

How scOS Business Model Protects Privacy

scOS monetization is transparent: you pay for hardware and security subscriptions. That's our revenue. We don't need data sales because security services generate sustainable income.

Hardware revenue covers device costs. Intelligence Hubs, cameras, and sensors are priced to cover manufacturing, shipping, support—with reasonable profit margin. We don't subsidize hardware with data monetization plans. You pay fair price for quality equipment.

Subscription revenue funds ongoing services. Cloud backup, AI processing, feature updates, customer support—these services cost money to provide. Subscription fees cover these costs sustainably. We don't need secondary revenue streams from selling your data.

No advertising partnerships means no advertising incentives. scOS doesn't participate in the advertising ecosystem. No ad network integrations. No marketing platform partnerships. No behavioral data sales to advertisers. We don't even have relationships with advertising companies—because we're not in the advertising business.

No data broker relationships means data stays private. We don't aggregate customer data for resale. We don't participate in data broker networks. We don't contribute to third-party data platforms. Customer information stays with customers—because our business doesn't require extracting value from it.

AI development uses synthetic data and opt-in contributions. We develop AI capabilities without exploiting customer footage. Synthetic data, publicly available datasets, and voluntary customer contributions from those who explicitly opt-in provide training data. No surprise AI training on your private footage.

Profitability through security, not surveillance. scOS succeeds when customers feel secure. Security breaches, privacy violations, trust erosion are existential business risks. Our incentives align with your privacy—we profit by protecting you, not exploiting you.

Contractual Commitment, Not Just Policy

Many companies make privacy promises in marketing while leaving legal loopholes in terms of service. scOS includes explicit contractual prohibition on data monetization.

Terms of service explicitly prohibit data selling. scOS Terms of Service (Section 10A) include clear language: customer data will not be sold, shared with advertisers, or monetized. This creates enforceable legal commitment—violation would constitute material breach of contract, giving customers legal recourse.

Changes require customer consent. If scOS ever wanted to change data use policies to permit monetization, existing customers would need to explicitly consent. Changes apply only to consenting customers—not retroactively to everyone. Your footage recorded under current terms remains protected under those terms.

Privacy commitments documented publicly. Our Data Ethics Zone provides detailed explanations of how we handle your data, what we collect, where it goes, and how AI training works. This transparency enables verification, not just trust.

The Psychology of Payment-for-Service

There's a fundamental psychological difference between paying for a service and being the product.

When you pay, you're the customer. Companies serve customers because customers can leave and take revenue with them. scOS succeeds by keeping you satisfied with security services. Customer satisfaction is business priority because dissatisfied customers cancel subscriptions.

When you're the product, you're inventory. Free services position users as inventory sold to advertisers. The service optimizes for advertiser needs—more engagement, more data collection, more behavioral insights—not user needs. You're managed, not served.

Payment creates accountability. Subscription revenue creates direct financial accountability. Poor service, privacy violations, security breaches—these cause cancellations that hit revenue immediately. scOS feels the financial impact of failing you.

Free services can ignore users. When revenue comes from advertisers or data buyers, free service users have limited leverage. Complaint about privacy? Data collection is the business model—your complaint is ignored because you're not the customer, you're the product.

scOS users are customers. We serve you because you pay us. Simple, honest business relationship that aligns incentives.

Voluntary AI Training: Privacy-Respecting Improvement

scOS AI capabilities improve through voluntary customer contributions—never by secretly analyzing your footage.

AI training is explicit opt-in. During setup and in settings, customers can choose to contribute footage for AI improvement. It's completely optional. Default is off. You must actively enable it if you want to help.

Contributions are transparent. When AI training is enabled, you know what footage is contributed: specific events, certain times, limited duration. Not everything—only what you specify. Clear transparency about what you're sharing and why it helps.

Third-party use prohibited. Even when you voluntarily contribute footage for AI training, it's used only for scOS model improvement—never sold to third parties, never used for advertising, never shared with data brokers. Limited use even with your consent.

Deletion at any time. You can withdraw from AI training anytime. Previously contributed footage is deleted from training datasets. Your participation is reversible—not a permanent surrender of privacy.

Synthetic data reduces contribution needs. scOS invests heavily in synthetic data generation—AI-created footage that looks realistic but contains no actual people or properties. This reduces how much real customer data we need for AI improvement.

For more on voluntary AI training, see the Voluntary AI Training feature.

What About Law Enforcement Requests?

scOS never provides footage to law enforcement without customer knowledge or cooperation—because we can't.

Encryption architecture prevents scOS compliance. Live video streams are encrypted via WebRTC directly between your app and Intelligence Hub. Recorded footage in our cloud is protected by AWS encryption with IAM policies that explicitly deny all scOS staff access to video playback APIs. Legal requests must be served directly to property owners—who control their data.

No surveillance partnerships. scOS doesn't participate in law enforcement partnership programs that provide footage access without warrants. Your cameras aren't part of police surveillance infrastructure.

Customer decides cooperation. If law enforcement serves you a legal warrant, you decide whether to provide footage. You're not surprised by learning later that your security company already shared it without telling you.

For more on our relationship with government, see Independent from Government.

GDPR, Data Minimization, and Legal Compliance

scOS no-data-selling model exceeds GDPR requirements for data minimization and purpose limitation.

Purpose limitation by design. GDPR requires data use be limited to specified, legitimate purposes. scOS business model enforces this—data is used for security services, period. No secondary purposes requiring data monetization.

Data minimization naturally follows. When revenue doesn't depend on data extraction, we collect only what's necessary for security. No behavioral tracking beyond security needs. No analytics for advertising. Minimal data collection because minimal data serves our business model.

Third-party sharing limited by contract. GDPR restricts third-party data sharing. scOS eliminates most third-party sharing by not participating in data economy. Infrastructure partners like AWS have limited access to encrypted data only—satisfying GDPR's strict third-party requirements.

User rights are easier to honor. GDPR grants data deletion, portability, and access rights. These are simple when data isn't sold—delete it, export it, review it. Complex when data has been monetized across multiple partners. scOS's no-selling model makes GDPR compliance straightforward.

Future-Proofing Privacy Through Business Model

Companies make privacy promises. Business models reveal whether those promises are sustainable.

Financial incentives don't change. scOS will always make money from security subscriptions. Five years from now, ten years from now—revenue model remains the same. Privacy isn't threatened by future pressure to monetize data because the business doesn't require it.

Investor alignment with privacy. scOS seeks investors who understand that privacy-first model is competitive advantage, not monetization limitation. Long-term business value comes from customer trust—which data selling would destroy. Investors aligned with sustainable privacy-respecting business.

Market position strengthens over time. As data breaches, privacy scandals, and surveillance concerns increase, privacy-focused security becomes more valuable. scOS market position strengthens as alternatives compromise privacy to monetize data. Privacy as competitive moat, not business constraint.

Integration With Other Privacy Features

No-data-selling works alongside other scOS privacy capabilities to create comprehensive protection.

Combined with Encrypted Storage, data selling becomes technically impossible—we cannot sell what we cannot access.

Paired with Need-to-Know Access, internal data restrictions prevent even well-intentioned data extraction for monetization.

Integrated with Transparent Operation, you can verify our claims by reviewing exactly what data we collect and how it's used.

Connected to Voluntary AI Training, you control whether your data helps improve AI—and even then, it's never sold to third parties.

Security That Respects the Transaction

When you buy scOS security, you're entering a straightforward transaction: you pay money, we provide security. No hidden monetization. No surveillance subsidizing cheap hardware. No data sales funding free services.

Just honest business: security for payment. Your data stays yours because our revenue doesn't depend on exploiting it.

This is how technology should work—transparent business models where customer and company incentives align. You want security and privacy. We profit by providing security and privacy.

Simple. Honest. Sustainable.

See all scOS features to understand how No Data Selling works alongside other privacy-focused capabilities to provide security that actually respects your privacy.

Sleep soundly knowing your home defends itself.

Add the scOS Intelligence Hub to your existing cameras and unlock capabilities that used to be impossible.

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