Building HeyYou a production AI security platform in 8 weeks

:::stats 8 | weeks from project start to launchable product, billing included 7 | seconds from camera event to spoken warning unlimited | triggering alert profiles :::

A loading dock, midnight

A person walks into a private loading dock at 00:39:18. An Axis camera fires a loitering event. Seven seconds later, a voice plays through the speaker on the wall.

Hello to you in the dark shirt and light pants near the fence. Please could you step away from this loading area to help keep the entrance accessible. Thank you for your cooperation.

Not a stock recording. Not a robotic loop. A specific, situation-aware message generated, voiced, and played in real time. The person leaves. The event is logged, the audio is stored, and the operator dashboard shows a Level 1 resolution.

The generated warning, the scene tags, the audio that plays through the speaker. All within seconds of the camera trigger.

Don't just watch. Speak up.

HeyYou's bet is that contextual deterrents work where generic ones don't. A car park at 2am gets a different message to a delivery bay at midday. A courier gets directions; a perimeter breach gets a firm warning. Same camera, same speaker, different output every time. Sirens cause panic. Voices cause action.

The team came to us with a working end-to-end prototype: vision, language model, text-to-speech, audio playback, all proven in a lab. The proof-of-concept worked. What they didn't have was a product they could sell.

First prospective customers were already waiting. The brief was direct: turn the prototype into a launchable SaaS, billing included, in time for the first beta deployments. Most agencies would scope that as a six-month build. We're an AI product studio, so we said eight weeks.

From prototype to launchable product, in 8 weeks

The work that landed inside those eight weeks went well beyond the AI. A prototype is a single happy path. A product is everything else. We designed and built the full platform:

• A multi-tenant SaaS with organisations, sites, role-based access, and an operator dashboard.
• A deeply integrated Axis camera and speaker layer with on-prem device discovery.
• A real-time AI processing pipeline that turns a camera event into a spoken warning in roughly seven seconds.
• Subscription billing with plan limits, customer portal, proration, and dunning.
• Observability across the stack so the team can see exactly what every camera, every event, and every spoken warning has done.
• A library of nine pre-configured alert profiles covering loitering, deliveries, restricted areas, vehicles, perimeters, and indoor presence.

Six weeks of build, two of polish. Production from day one, not later.

Camera event to spoken warning in roughly seven seconds. Every step is logged, timestamped, and visible to the operator.

Use what's already on the wall

The other temptation in AI security is to ship a new camera. Specialised hardware, proprietary firmware, long install cycle, fat contract. HeyYou's bet was the opposite. Don't replace the cameras. Use the ones already on the wall.

That means Axis Communications, the most widely deployed network camera brand in the world. We built a deep integration with the Axis ecosystem: Axis cameras, Axis Object Analytics, and Axis network audio speakers, with a desktop gateway that discovers them on the local network and bridges them to the cloud. No engineer callout, no rewiring. The setup is the install.

That single decision changes who the buyer is. Not facilities managers signing capital expenditure. Operations teams adding a layer to infrastructure they already trust.

Nine alert profile templates at launch, covering loitering, deliveries, restricted areas, vehicles, perimeters, and indoor presence.

Production AI, not AI theatre

The thing that makes most AI demos fall apart in production is silent failure. The model returns weird output, the system ships it, the customer gets the wrong warning at the wrong moment. By the time anyone notices, the damage is done.

We built the honest stack alongside the build, not after. Every generated warning is captured for review. Every step of the processing pipeline is timestamped and observable. Engineering can trace a specific message back to its inputs and see exactly why the model said what it said.

The system has been running on our own office cameras since the MVP shipped, firing alerts at our own loitering loops (mostly the team going outside for coffee). The team's been the first real user.

What HeyYou ships

• A multi-tenant SaaS, ready for paying customers.
• A real-time AI pipeline that picks the right model for each step. OpenAI, Google Gemini, and other language model providers where they fit, with ElevenLabs handling the voice work and a library of friendly, professional, or firm options.
• A deep Axis Communications integration covering cameras, Object Analytics, and network audio speakers.
• An on-prem desktop gateway that handles device discovery, credential management, and audio playback.
• An operator dashboard showing every event, every audio clip, every escalation, in real time.
• Subscription billing through Stripe, with plan limits and the full customer portal. All of it built and shipped in 8 weeks. From a prototype to a launchable product.

What's next

HeyYou is now in beta with prospective customers across the US. Real cameras, real sites, real audio interventions playing on the hardware that was already there. Cameras have been smart enough to see for years. HeyYou gives them a voice. We helped build the platform that makes it run.

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Need an AI product taken from prototype to launchable in weeks, not quarters? Tell us what you're trying to ship. We'll come back with a straight answer.