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Confidential investor brief · 2026

There are 2.5 billion security cameras in the world. They are historians, not guardians.

They are built to observe, but not to protect.

jupyter is the first privacy focused edge AI home security system that understands what is about to happen, and acts to deter it. We retrofit the cameras millions of homeowners already own and process everything on device with zero cloud latency. We win the customer by eliminating mandatory cloud fees14, and we drive compounding Customer Lifetime Value through perpetual over the air updates and an optional, high margin VoiceAI subscription.

~100M1

Existing camera households addressable on day one

$32.3B11

Combined TAM across launch markets

5,000+

Third party camera models universally supported

AUD $2 to $4M

Seed round, currently raising

Scroll

02 Our origin

We engineered the architecture the legacy industry avoided.

A note from the founder.

After 18 years in applied AI and product engineering, I built a residence that won an APAC Insider Award for its intelligence. I assumed the next step was scaling luxury home automation, but the data revealed a different reality. Customers overwhelmingly stated that convenience could wait, but protection could not. The legacy security industry was fundamentally failing them.

The pain points were systemic. Systems perfectly recorded crimes but never deterred them. Basic sensors flooded phones with false alerts, and cloud reliant hardware locked homeowners into endless subscription costs while compromising their privacy.

jupyter was born from this pivot. We engineered a completely new architecture, running six proprietary AI engines entirely on device. Most importantly, it retrofits. We win the customer by eliminating mandatory storage fees, we earn their loyalty with a calm interaction model, and we drive compounding Customer Lifetime Value through an optional, high margin VoiceAI subscription. We built what homeowners actually asked for: a home intelligent enough to protect itself.

Temi Akinloye, Founder & CEO

jupyter Hub Main Vision AI Processor Board

jupyter Hub,
Main Vision AI Processor Board.
Release v1. 2026.

03 The broken category

A multi billion dollar category failing at its primary task.

We target a 100 million household market by addressing the fundamental gaps in traditional security.

01 · Privacy and local compute

A shift away from mandatory cloud lock in.

12% of consumers switch providers over data privacy concerns1. Traditional hardware often relies on compounding subscriptions14. jupyter processes everything locally. Customer footage stays in the home, with zero mandatory continuous fees.

02 · Proactive deterrence

Transitioning from passive recording to active prevention.

Traditional cameras record property loss after the fact3. Our ParcelAI tracks intent and triggers an automated audible deterrent from the Outdoor Halo before a parcel is even handled.

03 · Notification clarity

Delivering trusted signals over constant noise.

Basic sensors flood users with false alerts for shadows and wind, leading many to mute their apps and leave their homes vulnerable. Our LoiterAI evaluates posture and dwell mechanics to separate intent from noise, returning a trusted and actionable signal.

04 The disruption

We spent two years engineering a system that understands what is about to happen, and acts to stop it.

Hardware, AI engines, and user experience engineered as a single, cohesive system. Designed and shipped entirely by one team across five distinct disciplines.

01

Computer Vision Researchers

The foundation models behind FaceAI, ParcelAI, and LoiterAI

02

AI Engineers

On device inference, model optimisation, edge AI deployment

03

UX Designers

SecureProtect app, Hello on Apple Watch, the calm-by-default interaction model

04

Industrial Designers

Hub and Halo product form, in partnership with Outerspace

05

Product Engineers

Hardware integration, supply chain, Tier One manufacturing oversight

Chapter 01

Our Products

05 The Hub

01 · The processing core

The intelligence layer for the hardware they already own.

Universal compatibility. Absolute local privacy.

The Hub bridges existing cameras to our six AI engines. Everything computes locally on device. No cloud processing, no mandatory subscriptions, and no per camera licensing. It simply gives the hardware customers already own the intelligence to understand what it sees.

06 Indoor Halo

02 · Indoor Halo

The end of the empty home.

Proactive occupancy illusion and acoustic awareness.

By generating realistic, time appropriate household audio, the Indoor Halo makes an empty house sound lived in. It constantly monitors for objective acoustic anomalies and intervenes before a breach occurs, proving far more effective than a traditional silent alarm. It ships with the Orbital Protection bundle.

07 Outdoor Halo

03 · Outdoor Halo

Intervention before the breach.

Active deterrence triggered by intent, not just motion.

Mounted as a single, commanding presence on the facade, the Outdoor Halo detects loitering and parcel theft attempts in real time. A pulsing baseline light signals active protection, while the siren and strobe automate instantly the moment intent is confirmed. It ships with the Outdoor Protection and Orbital Protection bundles.

08 SecureProtect & Hello Watch App

04 · SecureProtect & Hello Watch App

Insight without the scroll.

Security in plain language. Immediate wrist control.

Video streaming and timelines remain available, but endless scrolling is no longer the default. SecureProtect delivers daily events as concise text summaries. With VoiceAI, users simply ask what happened. The Apple Watch companion pushes noteworthy alerts to the wrist, allowing customers to trigger alarms or simulate occupancy with a single tap.

09 Universal Retrofit

0+

Third party camera models. All upgraded to intelligent vision in minutes.

The jupyter Hub connects to legacy CCTV cameras, modern IP cameras, doorbells, and almost everything in between via open standards. Customers keep the hardware they already paid for. Intelligence upgrades.

Try it. Search a camera brand investors will recognise.

10 The six AI engines

Six AI engines. Two world firsts.

All running locally on the Hub.

Each engine was built from the ground up to solve a real customer pain point. Tap any engine to read the depth, watch the product video, and see what we built underneath.

01

FaceAI

Physics first recognition

Recognises every face in your household equally, maintaining accuracy in the low light conditions where commercial systems often struggle.

Learn more
02

ParcelAI

World first · Active deterrence

Detects intent and posture as someone reaches for a parcel, and triggers the Outdoor Halo before contact. True security prevents the loss before it happens.

Learn more
03

LoiterAI

Behavioural analysis

Trained on the documented behaviour of burglars approaching homes. Reads when presence becomes a pattern.

Learn more
04

SoundAI

Acoustic intelligence

Hears the acoustic signatures of break ins, glass and forced doors, in the blind spots cameras cannot see.

Learn more
05

VehicleAI

Vehicle recognition

Recognises the family car. Closes the garage when it leaves. Secures the entry point that is most commonly left open by accident.

Learn more
06

OccupancyAI

World first · Proactive deterrence

Projects realistic household audio through the Indoor Halo when the family is away. The home stops sounding empty.

Learn more

Chapter 02

The Moat

11 The revenue moat

The hardware is the foundation. SaaS is the moat.

High margin recurring revenue across both consumer and commercial.

We use zero fee local compute as the acquisition vehicle to win the hardware install. Once embedded, jupyter becomes the operating system for the property, allowing us to drive compounding Customer Lifetime Value through two high margin SaaS layers.

Residential · VoiceAI Subscription

Consumers upgrade to our conversational VoiceAI tier to query their home's events via natural language and the Apple Watch. It eliminates notification fatigue and generates high margin ARR on top of the hardware base.

Commercial · Helios Dashboard

Designed for shift managers and STR hosts, Helios is a paid, browser based command centre. It tracks repeat visitors and delivers 15 second narrative shift briefings. It monetises the commercial sector from day one.

12 The scale engine

Argus. Flatline the headcount.

Operational excellence that protects our margins.

Operational efficiency is the engine that protects profitability as the network scales. Argus is our internal fleet platform that monitors, updates, and self heals tens of thousands of jupyter devices in the field automatically.

$0K per year

Expected operational savings on staff costs.

Across the first 0 jupyter fleet devices monitored and managed by Argus.

Business case. A traditional consumer hardware company at this fleet size requires a 25 person operations team. Argus lets us run the same footprint with under five. Capital flows to innovation and sales, not break fix overhead.

Chapter 03

The Market

13 The opportunity

100M existing camera households. 2M new dwellings annually.

One product architecture captures both.

jupyter is the only system in the premium edge AI tier that addresses both existing camera households and new homes from day one. The retrofit segment is where the largest installed base lives. The new home segment is where premium hardware margin lives. We capture both inside one product.

~100M CAMERA HOUSEHOLDS
  • United States74.9M
  • United Kingdom~16M
  • Canada~5M
  • Australia & New Zealand~4M

US figure from SafeHome 2026 (reference 1). UK, Canada, and ANZ figures are internal estimates derived from household penetration studies, stated as estimates.

14 Combined TAM

$0B11

Combined smart home security TAM across North America, UK, and ANZ.

$25.4B in North America. $5.1B in the UK. $1.8B in Australia and New Zealand. jupyter is a category bending product. Both prosumer and consumer. We capture more than one market.

$32.3B COMBINED TAM
  • North America$25.4B
  • United Kingdom$5.1B
  • Australia & New Zealand$1.8B

Regional smart home security market sizing, Statista & Allied Market Research 2025. See reference 11.

15 The target share

0%

Of the combined TAM delivers $50M Year 3 revenue. That's 1 in 600 camera owning households.

Small enough to be credible. Large enough to be transformative. Here is exactly how we get there, quarter by quarter, starting August 2026.

16 The comparison

How we outpace UniFi, Synology, Hikvision, and Dahua.

jupyter is the only system in the premium tier built for both audiences.

Non technical users onboard devices in moments via SecureProtect. Enthusiast users drill down into intelligent motion sensitivities and custom automations. It brings enterprise edge AI to the consumer market without the enterprise complexity.

17 Customer DNA · Sales & marketing pursuits

9 personas. 89% targeting accuracy.

Cheapest cost per click, highest conversion in our pre launch campaigns.

Targeting accuracy and cost figures are internal data from jupyter's pre launch Meta campaigns and waitlist funnel.

Our three highest converting profiles lead the strategy. We reach each persona where they research, not where they're interrupted. Tap any persona to drill down.

P · 01

The Privacy Refugee

High intent · Active

Left Ring or Arlo over the data licensing scandals. Already predisposed. Already searching for "no cloud" alternatives.

Tap to drill down →

P · 02

The Returning Burglary Victim

High intent · Triggered

Already had a break in. Wants more than passive recording. Will pay for active deterrence on its own merits.

Tap to drill down →

P · 03

The Frequent Traveller

High intent · Recurring

Empty home is the pain point. OccupancyAI is the single feature that converts this persona. Premium spend.

Tap to drill down →

P · 04

The Architect Builder Client

Medium · Channel led

Building or renovating a home worth >$1.5M. Routed via the builder channel. Pre wiring at spec stage.

Tap to drill down →

P · 05

The STR Operator

High intent · B2B2C

Airbnb / VRBO operator with 1-5 properties. OccupancyAI is also a deterrent against guest property crimes.

Tap to drill down →

P · 06

The Smart Home Prosumer

High intent · DIY

Home Assistant, Hubitat, Apple Home power user. Already running NVRs. Will respect the depth of the Hub.

Tap to drill down →

P · 07

The Notification Fatigued Parent

Medium · Quality of life

Has cameras, ignores them. The voice AI subscription is the upgrade path. Repeat upsell potential.

Tap to drill down →

P · 08

The Returning Camera Owner

Medium · Migration

Owns 4+ existing cameras. Cost of replacement is too high. We retrofit, they buy. Direct ROI.

Tap to drill down →

P · 09

The Insurance Discount Optimiser

Latent · Insurance led

Converts when their insurer offers a premium discount for jupyter. Year 2 unlock.

Tap to drill down →

18 Go to market · Sales & marketing pursuits

Tri channel launch. Insurance & STR as the Year 2 unlock.

Direct to consumer, pro installers, builders for new home embed. Year 2 adds insurance carriers and short term rental operators, both at near zero CAC. The mix evolves deliberately year over year.

Year 01

Direct led launch

Direct to consumer70%
Pro installers25%
Builders5%

Year 02

Insurance + STR unlock

Direct to consumer55%
Pro installers25%
Builders10%
STR operators5%
Insurance carriers5%

Year 03

Channel maturity

Direct to consumer45%
Pro installers25%
Builders15%
STR operators8%
Insurance carriers7%

19 CAC reduction · Sales & marketing pursuits

$0 $81

Blended CAC drops 57% over three years as channel maturity takes over from direct spend.

Year 1 reflects launch direct to consumer load. Year 2 introduces insurance and STR at near zero CAC. Year 3 reflects mature channel mix where the lower CAC channels drive 55% of volume combined.

How we arrive at these numbers

Blended CAC is the channel mix weighted by each channel's acquisition cost. Direct to consumer CAC is derived from our pre launch Meta campaign performance and waitlist funnel conversion, measured, not assumed. Installer CAC of $17.65 comes from the program economics of the migration offer. Builder, insurer, and STR channels carry near zero marginal CAC because the partner funds the introduction. As the mix shifts toward those channels, the blend falls from $81 to $35. The full channel-by-channel model is available on request.

20 Pricing & margins

Three tiers. ~56% blended gross margin at retail.

Retail pricing across the three bundles. Hub at $1,799. Outdoor bundle at $2,199. Orbital Protection at $2,499.

Tier 01 · Hub

Standalone Hub

$1,799

AUD · Retail

For households with existing compatible cameras. Hub + Keyfob + Entry Sensor. The retrofit entry point into the system.

Tier 02 · Outdoor Protection

Hub + Outdoor Halo

$2,199

AUD · Retail

Adds the Outdoor Halo (siren + strobe at the perimeter) and 2× jupyter cameras for the first 500 customers. The volume driver across every channel.

Tier 03 · Orbital Protection

Complete system

$2,499

AUD · Retail

Hub + Indoor Halo + Outdoor Halo + 4× jupyter cameras. The full system. Hits both jupyter and Airtouch margins comfortably.

The SaaS Layer · VoiceAI

Compounding Customer Lifetime Value

We win the hardware install by eliminating mandatory storage fees. Once installed, users can upgrade to our conversational VoiceAI tier to query their home's events via natural language and the Apple Watch. This drives high margin, recurring ARR on top of the hardware base.

The subscription model targets an attach rate maturing toward 40% of the installed base by Year 3 at ~70% gross margin, with continual feature investment holding churn low. Every 10,000 installed Hubs at mature attach contribute approximately $720K of annual recurring revenue, and the recurring share of revenue mix compounds toward ~16% by Year 3.

$15/mo

Optional upgrade

Chapter 04

The Roadmap

21 The execution plan

The execution plan. Path to $50M.

How we deploy capital to navigate global supply pressures, scale our commercial channels, and achieve a one in six hundred household capture.

Q2 2026 · Present

Maturity & Nurture

The product architecture is market-ready. Argus is live, actively managing our beta fleet

To navigate global pressures on AI memory component costs, we are executing our locked manufacturing quotes immediately to protect our retail margins

Virtual roadshows running for the 1,000+ waitlist. On the road B2B demos under way across Victoria and NSW with the Helios installer platform

Milestone · Commercial readiness, waitlist nurture, and price lock

Node 01 · Maturity

Q3 2026

Launchpad & North America Prep

Pre orders fulfil and revenue begins. The 500 unit Launch Edition ships from August

As AU deployments scale, we mirror our exact D2C go to market template into Canada and the US

High intent communities targeted with precise, technical performance marketing: prosumer forums, short term rental operator groups, neighbourhood watch networks

Milestone · Commercial launch & NA strategy replication · 500 units, ~$1M

Node 02 · Launchpad

Q4 2026

Helios Rollout & VoiceAI

Physical magazine brochures ship and technical walkthroughs run to onboard top-tier installers onto Helios

The VoiceAI subscription launches, unlocking high margin recurring SaaS revenue

The North American waitlist converts into shipments

Milestone · Pro installer activation & SaaS layer launch · 1,800 units, ~$3.6M

Node 03 · Helios

Q1/Q2 2027

Enterprise B2B & Series A

Presales technical leads begin chasing enterprise opportunities with building managers and Tier One commercial security integrators in Australia and North America

The system scales laterally: the same Hub that runs a 4 camera house runs a 40 camera commercial lobby with local Occupancy and Loiter intelligence

First insurance carrier pilots convert. Series A preparation begins

Milestone · Commercial integrators & insurance pilots · cumulative path to $50M Year 3

Node 04 · Enterprise

22 The team

We collectively hold the technical and go to market experience to make this successful.

Backed by a 12+ engineer development team.

Temi Akinloye, Founder and CEO

Founder & CEO

Temi Akinloye

Founded jupyter after 18+ years in product engineering, applied AI, and technical leadership across Accenture, Telstra, and HP. Designed and built 1 Beach House, the APAC Insider Award winning luxury smart home in Warrnambool that serves as jupyter's pilot and content venue. BSc Computer Science, MSc IT Management (Salford). Harvard Human Centric Design.

Matt Gaskell, Chief Revenue Officer

Chief Revenue Officer

Matt Gaskell

Director of Devices & Services at Google ANZ, where he took Nest from regional launch to category #1. Deep experience in the retail, telco, and operator channels jupyter's GTM relies on. Owns Customer DNA, Channel Mix, CAC, Pricing, and The Ask.

Engineering

A 12+ engineer development team. Active research partnerships with academics in computer vision and deep learning. Outerspace is our industrial design partner.

23 Execution

Built. Proven. Ready to ship.

0

Continents in active closed pilot

0

Patent applications · AU, US, UK, CA

0+

High intent waitlisted customers

Tier One

Audited Shenzhen manufacturing partners

24 The ask

AUD $2M to $4M

Seed capital to execute the commercial launch.

Earmarked to activate B2B2C builder and installer channels, execute initial mass manufacturing run, and convert the high intent waitlist across Australia, North America, and the UK. Pre revenue by design. This round is the catalyst, not the experiment.

01 · Manufacturing

~45%

Initial mass manufacturing run with Tier One Shenzhen partners. Inventory, tooling, certifications, logistics.

02 · Channel activation

~35%

Top three installer onboarding per country. Builder specification programs. Insurance and STR carrier pilots.

03 · Brand & marketing

~20%

Brand immersion marketing, content production, waitlist conversion, community programs.

Request a meeting

References

References.

Each figure links to a primary source. Where a stat is unsourced, it is a stated estimate or an internal jupyter figure.

  1. SafeHome.org · 2026 Home Security Market Report. 12% of US security switchers cite privacy. 74.9M US households with at least one camera. safehome.org/data/home-security-industry-statistics
  2. Deloitte Connected Consumer Survey, 2024. 62% of smart home device users worry about how their device data is handled. deloitte.com/connectivity-mobile-trends-survey
  3. Security.org 2024 Package Theft Survey. $12B annual US package theft. 48M packages stolen. Roughly one in four Americans report having experienced package theft. security.org/package-theft/annual-report
  4. Quadient/Parcel Pending 2025 Parcel Theft Report. £666.5M lost across 4.83M UK households. parcelpending.com/en-gb/blog/the-2025-uk-parcel-theft-report
  5. Finder & NTI 2025 analysis. $606M lost across 4.7M Australians from parcel theft. finder.com.au/news/stolen-parcels-2025
  6. NIST Face Recognition Vendor Test (FRVT) & MIT Media Lab benchmarks. Commercial face recognition error rates up to 34% in low light. nist.gov/programs-projects/face-recognition-vendor-test-frvt
  7. Australian Bureau of Statistics & Federal Housing Accord. 177k dwellings commenced, Federal target 240k. abs.gov.au/statistics/industry/building-and-construction
  8. UK Government Housing Strategy. Target 1.5M homes by 2030. 190k completions/year. gov.uk/biggest-housebuilding-plan-in-generation
  9. CMHC, 2025 & 2026 reports. 259,028 housing starts in 2025. National target 430-480k/yr by 2035. cmhc-schl.gc.ca/housing-markets-data-and-research
  10. US Census Bureau, 2026 housing starts. ~1.4M annual housing starts. census.gov/construction/nrc
  11. Statista & Allied Market Research, Smart Home Security Market 2025. NA $25.4B, UK $5.1B, ANZ $1.8B, combined $32.3B TAM. statista.com/outlook/smart home/security/worldwide
  12. Kuhns, Blevins, Lee, UNC Charlotte burglary research. 60% of burglars would abandon if alarm active. 422 convicted offenders surveyed. UNC Charlotte burglar decisions study (PDF)
  13. Tseloni, Thompson, Grove, Tilley, Farrell, Security Journal, 2014. ~20x greater protection where physical security combines with visible occupancy signals. link.springer.com/article/10.1057/sj.2014.30
  14. Tom's Guide, February 2024. Ring raised its Protect Basic plan 25% to $4.99/month, the second increase in two years, weeks after Arlo raised its single-camera plan from $4.99 to $7.99 and Google Nest raised its entry plan from $6 to $8. tomsguide.com · Ring camera subscription price hike

Camera compatibility

Works with the cameras you already own.

jupyter uses ONVIF and RTSP, the open standards behind most IP security cameras. Search your brand or model below to verify.

5,000+

Supported models

200+

Camera brands

ONVIF

Open standard

Popular supported brands

Hikvision · Dahua · Axis · Reolink · Hanwha · Bosch · Sony · Lorex · UniFi · Swann · Amcrest · Uniview · Eufy · Foscam

What works on every supported camera

Live streaming. AI engine processing. Local recording. Motion alerts. Event notifications. Six AI engines including the world firsts.

What works only on verified models

Advanced controls (firmware updates, device reboots, motion-sensitivity tuning) are supported only on verified models. The compatibility checker on jupyter.com.au returns this status per model.

Open jupyter.com.au, then select Check Camera Compatibility

TAM breakdown

How we arrived at $32.3B. And why we can take a meaningful share of it.

jupyter is a category bending product. We capture more than one market because the product is both prosumer (high customisability) and consumer (sets up like a new Apple product).

Regional TAM

$25.4B

North America smart home security

$5.1B

United Kingdom

$1.8B

Australia & New Zealand

$25.4B + $5.1B + $1.8B = $32.3B

The category bending part

Most edge AI NVRs target only the prosumer/professional installer market. Most cloud doorbells and cameras target only the consumer market. jupyter captures both inside one product architecture.

Prosumer / professional NVR market. High customisability. ONVIF/RTSP. Six engines. Multi channel concurrent processing. This is the UniFi, Synology, Hikvision and Dahua market.

Consumer cloud doorbell + camera market. Sets up in minutes via SecureProtect. Apple Watch companion. Voice queries. This is the Ring, Nest, Arlo, Eufy market.

What this means for the target share

We do not need to be the dominant player in either market to hit $50M Year 3 revenue. We need 0.16% of the combined TAM. That is 1 in 600 camera owning households. We can credibly take more than that because we are the only system serving both populations.

Source: Statista & Allied Market Research, 2025 regional smart home security breakdown.

Revenue roadmap

How we get to $50M in Year 3. Quarter by quarter, from August 2026.

Conservative volume against the channel mix. Pricing weighted-average across the three retail tiers. The path is built from the channels we've already mapped.

Q3 2026 · Aug to Oct

Launchpad

500 units · ~$1M revenue

Launch Edition ships from Australia. 500 unit run sells out within the quarter. First builder model home install with AirTouch. Pro installer migration program goes live across the top 3 in AU.

Q4 2026

Helios

1,800 units · ~$3.6M revenue

VoiceAI subscription unlocks the recurring revenue layer. NZ market enters with top-3 installer signed. First insurance carrier conversation begins (NRMA).

Q1 2027

Northern Star

4,500 units · ~$9M revenue

US & Canada commercial launch. JB Hi-Fi shelf placement in AU. Builder channel begins scaling beyond pilot. STR operator integration with PMS platforms goes live.

Q2 2027

Argus scale

7,500 units · ~$15M revenue

UK commercial launch. Argus v2 deploys with AI agents. First insurance carrier pilot signed (NRMA AU, +1 US). Series A preparation begins.

Q3 2027 · Year 3 H2

Horizon

Cumulative to $50M+ Year 3

Builder channel reaches 15%. Second insurance carrier signed. EMEA pilot announced. Channel maturity drives blended CAC to $35. 1 in 600 camera owning households across the four markets.

Unit forecasts are conservative cases. Subscription VoiceAI revenue layered on top from Q4 2026. Detailed unit-economics model available on request.

Temi's Cut · the case in five beats

The investor case for jupyter, distilled.

Sixty seconds from cover to ask.

i.

The Historians

More than a billion security cameras watch the world. They record the arrival, the breach, the departure. They provide a reliable record of the event, but no intervention. Customers are seeking active deterrence, and jupyter acts before the loss occurs.

ii.

The Structural Moat

No rip and replace. The jupyter Hub connects to over 5,000 existing camera models, upgrading legacy hardware into an intelligent deterrence network. Argus, our autonomous fleet platform, self heals every device in the field, allowing us to manage our first 40,000 devices with a team of under five.

iii.

The Deterrence Engines & The SaaS Layer

Six proprietary AI engines (Face, Parcel, Loiter, Sound, Occupancy, Vehicle) run entirely on device to deter crime before it happens. Over this hardware foundation, our conversational VoiceAI sits as an optional, high margin subscription. It allows users to query their home via the Apple Watch or app, eliminating notification fatigue while driving our compounding Customer Lifetime Value.

iv.

The One in Six Hundred Maths

The combined smart home security TAM across our launch markets is $32.3 billion. We do not need to dominate the market. We need 0.16 per cent of it to deliver $50 million in Year 3 revenue. That is exactly one in every six hundred camera owning households.

$32.3BCombined TAM
0.16%Share required
$50MYear 3 revenue

v.

The Catalyst

Two to four million Australian dollars. Seed. It funds the production runs, the channel build, and the brand initiatives that convert our waitlist into the launch. It also carries the team through the Argus scale phase, allowing our support footprint to remain lean as the user base grows. It funds a temporary growth peak, not a permanent cost base.

Book a 30 minute introduction with Temi

Subscription strategy

The path to a 40% blended attach rate.

We model a 40% maturation attach rate for the VoiceAI and Helios SaaS layer. We achieve this not by forcing all users into a funnel, but by targeting the specific cohorts where the subscription removes daily friction, while leaving the hardware purists alone.

1. The STR Operator & Café Owner

Estimated attach: 85%+

For commercial users, this is not a luxury; it is a tax deductible operational expense. They do not have time to scrub video timelines to figure out what happened during the night shift. Sold natively as the Helios Pro tier, the 15 second narrative shift briefing instantly justifies the cost.

Why they stay. The briefing becomes the shift handover routine. Cancelling reintroduces unpaid labour into every morning, and the fee sits inside an operating budget nobody re-litigates.

2. The Notification Fatigued Parent

Estimated attach: 70%

Their primary pain point is not the fear of a break in; it is the daily annoyance of false alerts. They want the system to be silent until they ask it a question. We offer a 14 day trial activated 30 days after install. Once they experience insight without the scroll, returning to a classic video timeline feels broken.

Why they stay. Cancelling turns the noise back on. The trial builds a daily summary habit, and habits formed around silence are the hardest to give up.

3. The Frequent Traveller

Estimated attach: 50%

This cohort suffers from high situational anxiety when away from home. The ability to ask their Apple Watch "Were there any events at the house today?" while sitting in an airport lounge is a premium luxury they will gladly pay for. Contextual in app prompts highlight the VoiceAI query feature when the user is travelling.

Why they stay. The subscription maps to a recurring life pattern, not a one off scare. Every trip renews the value, and the wrist query becomes part of the departure ritual.

4. The Returning Camera Owner & Builder Client

Estimated attach: 25 to 30%

They migrated to jupyter specifically to escape mandatory cloud fees. Many will stay on the free local storage tier forever, which we encourage as it drives our hardware volume. However, a third will inevitably upgrade purely for the convenience of natural language search, discovered natively when they attempt to filter past events.

Why they stay. Search value compounds with history. The longer the system runs, the more past events natural language search unlocks, so the subscription gets more useful every month they hold it.

5. The Privacy Refugee & Smart Home Prosumer

Estimated attach: under 10%

They are philosophically opposed to subscriptions and cloud reliant AI. We explicitly do not pressure this group. We let them enjoy the zero fee local compute. They fund our hardware margins, write the glowing reviews in prosumer communities, and build our technical credibility.

The blended maths

Weighting each cohort by its illustrative share of the Year 3 installed base: commercial operators ~10% of the base at 85%, fatigued parents ~20% at 70%, frequent travellers ~15% at 50%, returning owners and builder clients ~35% at 27%, and purists ~20% at 10%. The blend lands at approximately 41%, which is why we state the maturation target as 40% rather than higher. Cohort shares are internal estimates from our persona and channel mix modelling.

Why the revenue sticks

Retention is engineered, not hoped for. The subscription price never rises for existing members while continual feature investment adds capability with every release, so perceived value compounds in the customer's favour. Daily summaries build a usage habit measured in seconds, not sessions. The system's answers improve the longer it knows the household, which means the product a member would cancel is always better than the one they signed up for. Modelled churn holds in the low single digits on this basis.

Cohort attach rates and base shares are internal strategy estimates. Blended, they support the 40% Year 3 maturation target at $15 per month and ~70% gross margin.

Request a meeting

Pick a time with Temi.

Prefer email? temi.akinloye@jupyter.com.au

The comparison matrix

Where jupyter sits in the premium edge AI tier.

A direct comparison against the four other vendors operating in the same premium tier. Tap any feature to see why it matters to the customer.

↔ Scroll the table sideways to see all five vendors

 
jupyter
UniFi UNVR Pro
Synology DVA3221
Hikvision DeepinMind
Dahua WizSense
Camera agnostic AI i
5,000+ models
UniFi only
ONVIF, paid
Hik cams only
Dahua cams only

Why this matters

Pain point: The retrofit market is 100M+ existing camera households. Customer proof: Top customer search term across smart home forums is "make my old camera smart." Our edge: Day one addressable market grows from millions to hundreds of millions.

Storage medium i
SSD (solid state)
HDD
HDD bays
HDD
HDD

Why this matters

Pain point: HDD failure rate in 24/7 NVR duty exceeds 9% per year. Customer proof: The most common Reolink/Hikvision support ticket is "drive failed, lost recordings." Our edge: SSD reliability and silent operation. The Hub disappears into the room.

Parcel theft deterrence i
World first active
Detect only
No
No
No

Why this matters

Pain point: 1 in 10 customers have had a parcel stolen. $12B US, £666.5M UK, $606M AU annually. Customer proof: Top stated reason in our market fit interviews for considering a new system. Our edge: Traditional systems detect the event. jupyter acts to prevent it.

Glass & forced door acoustic detection i
Yes
No
No
No
No

Why this matters

Pain point: Cameras have predictable coverage shadows. Burglars know them. Customer proof: "I have cameras but they didn't see the side window" is the most common after-burglary statement. Our edge: The acoustic layer covers what the optical layer cannot.

Occupancy illusion (proactive deterrence) i
World first
No
No
No
No

Why this matters

Pain point: Burglars listen before they look. They choose homes that look and sound unoccupied. Customer proof: ~20x greater protection where physical security combines with visible occupancy signals (Tseloni et al, Security Journal, 2014). Our edge: The home stops sounding empty. The decision flips to "next house."

Voice assistant for events & status i
Yes (Q3 2026)
No
No
No
No

Why this matters

Pain point: Constant alerts lead to notification fatigue. Customer proof: Notification fatigue was the most frequently raised frustration in our own market fit research, equal in stated weight to privacy. Our edge: "What happened today?" returns a calm, summarised, plain language answer. The signal is restored.

Indoor & outdoor deterrent devices i
Halo devices included
Camera LED only
No
Cam strobe only
Cam strobe only

Why this matters

Pain point: Detection without deterrence is recording. Customer proof: 60% of burglars would abandon the attempt if they discovered an active alarm (UNC Charlotte, 422 convicted offenders). Our edge: Hikvision and Dahua offer strobe-and-siren cameras, but these are reactive noise on a motion trigger, not intelligent deterrence, and none of them do occupancy illusion. The Outdoor Halo escalates on sensed intent, and the Indoor Halo makes the home sound occupied before anyone ever approaches.

Customer owned cloud backup i
Google Drive, iCloud, NAS
Cloud relay
Backup paths
Hik-Connect
Local only

Why this matters

Pain point: Privacy. Customers don't want their footage on someone else's servers. Customer proof: 62% of smart home users worry about how their device data is handled (Deloitte, 2024). 12% of US security switchers cite privacy as reason for leaving (SafeHome 2026). Our edge: Customer's own cloud, encrypted. We never touch the footage.

Mandatory monthly fees i
Zero
Zero
Per camera licences
Zero
Zero

Why this matters

Pain point: Recurring subscription costs for hardware customers already paid for, a model that has proven unpopular. Customer proof: 5 year cost of ownership analysis on our waitlist page shows $805 retained per household vs typical $15/month cloud system. Our edge: Hardware is the product. AI is included. VoiceAI is the only optional paid layer.