Not just AI-assisted coding. AI integrated into the entire product development cycle—from ideation to user feedback.
The conversation around AI in product development often stops at code generation. "Look what I built this weekend" has become a cliché. But generating code is the easy part—the hard part has always been understanding what to build and validating that it matters.
AI's real impact isn't just faster coding. It's the ability to compress the entire feedback loop:
AI-assisted development → faster prototypes → earlier user feedback → faster iteration → better products, sooner.
The bottleneck shifts from "can we build it?" to "can we get feedback fast enough?" This platform is built to answer that question—creating tools to gather input at the speed of iteration.
AI accelerates development—but it accelerates development on top of something. The DuoCore platform represents months of deliberate engineering: custom hardware design, manufacturing workflows, backend infrastructure, and customer discovery that can't be replicated in a weekend hackathon.
A dual-ESP32 architecture designed from the ground up to support multiple products from a single hardware platform—with the infrastructure to manufacture, deploy, and manage them at scale.
Dedicated processors for listening and connectivity. The scanner never stops monitoring sensors; the processor never drops cloud connection—so inbound MQTT commands are never missed. Single-chip designs must switch between states and risk losing data during transitions.
Demand-based project assignment at manufacturing. Single SKU becomes any product. No inventory complexity.
Customer powers on, connects WiFi via phone. No technical setup. Factory credentials erased before shipping.
Self-hosted MQTT, PHP/MySQL backend, OTA updates. No AWS/Azure fees. Complete data sovereignty.
External sensors communicate wirelessly to the scanner. Expandable sensor ecosystem without additional internet connections.
Real-time cloud-to-device commands. Remote configuration, OTA triggers, diagnostics—all without polling.
This foundation took months to build correctly. The customer discovery for WiSpyAlert, RodenRadar, and Medication Diary—understanding the actual problems, not just imagining solutions—took additional time. AI didn't replace this work; AI now accelerates everything built on top of it.
Traditional startup timelines were built around human constraints—how fast a team could write code, how long fundraising takes, how many iterations fit in a runway. AI changes the equation, but only when paired with a solid foundation.
The moat isn't AI—everyone has AI. The moat is a production-ready hardware platform, proven manufacturing workflow, self-hosted infrastructure with no per-device fees, and validated customer problems. AI makes iteration fast; the platform makes iteration meaningful.
This doesn't mean AI replaces funding—it means funding decisions need to match AI velocity. A 90-day due diligence process was designed for 18-month development cycles. When prototypes evolve weekly, the market moves before the check clears.
This isn't "vibe coding." AI is embedded in every layer of development—accelerating work on top of the DuoCore foundation:
AI amplifies human capability—it doesn't replace collaboration. This platform is built by:
Vision, architecture, orchestration—40 years of software experience directing AI-assisted development and knowing what corners not to cut.
Hardware expertise for the DuoCore platform—the dual ESP32 boards that power all three products.
Physical product design—cases, mounts, and housings that make IoT devices deployable.
Development partner across firmware, backend, tooling, and documentation. Not a tool—a collaborator that accelerates iteration.
AI compresses development time. It doesn't manufacture hardware, hold inventory, or run marketing campaigns. Capital accelerates what AI can't:
PCB production, assembly, quality control at scale
Components, finished goods, fulfillment infrastructure
Marketing, sales channels, customer acquisition
FCC, UL, and regulatory compliance for consumer products
The pitch isn't "fund our development"—the development is happening. The pitch is "fund the scaling of validated products on a proven platform, at a velocity that matches how fast they're being built."
The dashboard isn't a demo—it's the actual working environment. Watch development happen in real-time.