Accelerating Device
Enabled Applications
The future of AI isn't on your phone or laptop. It's on devices out in the real world.
But seasoned developers still suffer a friction-heavy, long-lead process when building device-enabled applications.
The web-app toolchain everyone relies on doesn't reach this far.
| Building without Mandelia | Building with Mandelia | |
|---|---|---|
| Toolchains | Juggle Swift/Xcode, Kotlin/Gradle, and C/C++ firmware build systems — three languages, three ecosystems, three sets of footguns. | One prompt produces all of it — app, firmware, and the glue — in a single coordinated build. |
| Device-to-device wiring | Hand-write pairing, discovery, state sync, and reconnection across whatever protocols the hardware speaks (BLE, Wi-Fi, LoRa, cellular). The hardest, least-documented part of the stack. | Protocols, state sync, and handoffs are generated for you and verified across real devices — whatever the radios speak. |
| Iteration loop | No hot reload. Recompile, re-flash, reconnect, repeat — minutes per cycle, on physical hardware. | A working build on the first download and firmware flash. No flash-and-pray loop. |
| Testing | No one-click integration test for a device mesh — verifying real behavior means a workbench of hardware and a lot of manual poking. | Autonomous verification across a simulated or hardware-in-the-loop device graph — minimizing the real-world integration needed, and often delivering first-time build success. |
| Debugging | A failure could live in the app, the firmware, or the link between them. You debug all three at once, often blind. | Verification gates at every node isolate the failure before it reaches you. |
| Expertise | Need mobile, embedded, and RF engineers in the room — a rare and expensive combination. | One interface coordinates the specialists; the framework holds the cross-domain knowledge. |
Our demo is the proof.
Success on the first app download & firmware flash.
infinite color wheel | manual brightness | auto-brightness via sensor | presets |
Only possible with our fully autonomous multi-device verification system.
| Building without Mandelia | Building with Mandelia | |
|---|---|---|
| Human labor | 2–3 weeks of developer time — app, firmware, and device link, plus hand-writing dozens of e2e integration tests and building the multi-device fixtures to run them. | ~20 minutes |
| Iterations | Countless manual compile-flash-test-debug cycles to reach the same coverage. | First-time success. |
| Calendar time | Weeks, gated by physical bring-up, re-flashing, and fixture construction. | ~24 hours — including human prompting, machine building, and human real-world integration and test. |
| Quality & testing Tie | Dozens of e2e integration tests across a multi-device fixture rig. | Equivalent coverage — dozens of e2e tests across a simulated/HIL device graph. |
| Cost | Weeks of loaded developer salary, plus the test-rig hardware. | ~$4K, delivered. |
We're at TRL 4, looking to mature the platform with the right partners.
4 Key Capability Areas
primed for expansion and stress testing — select one to explore in depth
Edge-AI boards, sensor networks, wearables, unmanned systems, robotic fleet orchestration — coordinated as one build, with the device-to-device protocols, state sync, and handoffs generated for you.
Explore →A single intent decomposes into an auditable graph of sequenced mini-builds — no emergent goal-seeking, no runaway loops, the full plan visible before any code is written.
Explore →Beyond multi-device integration testing — autonomously generate tests for CVE, compliance/governance, safety critical, and cross-domain correctness.
Explore →Any model fulfills the interface — language specialists, security-tuned models, customer fine-tunes, or air-gapped open weights, chosen per node.
Explore →Reach out to see the demo or discuss how we can work together.