Zediot

13/03/2026

Developing a smart device with Tuya?

Many companies start with the OEM app because it’s quick and easy to launch.

But as products grow, businesses often need more flexibility — from custom branding to deeper system integration.

At ZedIoT, we help companies build custom Tuya mobile applications tailored to their products and users.

Our Tuya App Development services include:

✔ Fully branded smart device apps
✔ Custom UI/UX design
✔ Integration with cameras, sensors, and smart home devices
✔ Tuya Cloud API integration
✔ Scalable architecture for IoT platforms

Whether you're launching a new smart device or upgrading from an OEM solution, a custom app can help you deliver a better product experience.

Learn more:
https://zediot.com/tuya-app-development/

Tuya App Development backed by 8 delivered smart device solutions across North America. Launch OEM fast or scale with custom SDK architecture.

11/03/2026

Many smart device brands start with Tuya OEM apps to launch quickly.

But as products scale, OEM apps often become limiting:
• Limited customization
• Weak brand differentiation
• Restricted feature development

Recently, our team helped a commercial HVAC company migrate from a Tuya OEM app to a fully customized Tuya SDK-based solution.

What we delivered:
✔ Custom mobile app with full branding
✔ Advanced device control and monitoring
✔ Scalable architecture for future device expansion

The result:
A fully branded smart HVAC platform with greater flexibility and long-term scalability.

If you're planning to move beyond Tuya OEM apps, this case may be helpful.

Read the full case study:
https://zediot.com/case/tuya-oem-to-sdk-migration-commercial-hvac/

See how ZedIoT handled a complex Tuya OEM to SDK migration for a US client. Using Ray Framework, we solved energy conflicts and cut costs by 25%.

10/02/2026

ESP32 Chip Selection: Why “Just Pick One” Is a Bad Idea

A lot of IoT projects start with “Let’s use ESP32.”
But ESP32 isn’t a single chip — it’s a whole family.

ESP32, C3, S3, S2…
They differ a lot in:

- Cost
- AI capability
- Security features
- Peripheral support

Choosing the wrong one early can quietly cause problems later:
over-engineering, limited scalability, or painful redesigns.

I put together a practical comparison that explains:

- What each ESP32 series is actually good at
- Which chips make sense for edge AI vs. low-power products
- Common selection mistakes I see in real projects

If you’re building an IoT or smart hardware product, this might save you some time 👇
https://zediot.com/blog/esp32-chip-series-comparison/

Struggling with ESP32 chip series comparison? This clear 2026 guide maps versions to real IoT and edge AI use—save power, avoid feature bloat.

14/01/2026

Using ESP32 as an IoT gateway? Don’t reinvent the wheel.

Many ESP32-based projects struggle with the same problem:
how to reliably bridge different protocols and devices into an MQTT backend.

OpenMQTTGateway is an open-source project designed exactly for this purpose.

In this article, we explain:
• How OpenMQTTGateway works internally
• Why ESP32 is a natural fit for it
• Common IoT gateway scenarios (sensors, RF, serial, automation)
• Limitations you should be aware of before using it in production

👉 Full article here:
https://zediot.com/blog/what-is-openmqttgateway/

Useful if you're building ESP32 gateways, edge devices, or early-stage IoT prototypes.

OpenMQTTGateway is an open-source ESP32 MQTT gateway bridging BLE, RF, and IR for scalable IoT integration. Explore enterprise IoT solutions.

09/01/2026

ESP32 Development Services

We build reliable ESP32-based IoT products — from early prototypes to mass production.

✅ Hardware + firmware development
✅ Wireless connectivity & low-power optimization
✅ Ready for real-world deployment

If you’re planning an ESP32 project and need a team that understands both hardware and software, let’s talk.

🔗 https://zediot.com/services/esp32-development-services/

ESP32 development services for custom hardware, firmware, UI displays, and production-ready prototypes. Built for fast, reliable ESP32-S3/C3 device delivery.

29/12/2025

ESP32-S3 + Edge Voice AI: It’s Not About “Can It Run.”

When people talk about ESP32-S3 and voice AI, the first question is often:
“Is it powerful enough?”

In real projects, that’s rarely the right question.

The real work starts when you balance trade-offs:
• latency vs. accuracy
• power consumption vs. always-on listening
• memory limits vs. model complexity
• lab performance vs. real acoustic environments

ESP32-S3 makes on-device voice AI possible —
But it doesn’t remove the need for system-level engineering decisions.

In MCU-class voice AI, success is usually determined before model deployment:
in architecture choices, audio pipeline design, and power strategy.

This is why edge voice AI is less about “running a model.”
and more about knowing which compromises you can afford.

(We recently shared a real ESP32-S3 edge voice device case for those interested.)

Call now to connect with business.

25/12/2025

ESP32-S3 isn’t just “AI-ready” — it’s constraint-driven.

In our latest ESP32-S3 voice AI project, most of the engineering effort went into:
• managing limited memory
• keeping latency predictable
• maintaining accuracy in real acoustic environments

Edge voice AI is less about big models —
and more about system-level tradeoffs.

Case details here:
https://zediot.com/case/esp32-s3-edge-ai-voice-device-development/

This ESP32-S3 edge AI voice device development case explores TinyML feasibility, keyword spotting, and on-device firmware design.

05/12/2025

We provide Voice AI development and real-time speech solutions for teams in the US, Canada, Australia, and Europe.

👉 https://zediot.com/solutions/voice-ai-solutions/

Many teams come to us after running into common issues:
• Noisy retail or warehouse environments
• Strong accents or region-specific vocabulary
• Latency problems in live deployments
• ASR APIs that fail once traffic scales
• Need for on-device or privacy-focused voice processing

That’s where our engineering team steps in.

We’ve helped 20+ overseas clients build production-ready voice systems, including:
✔ Custom low-latency ASR tuned for their industry
✔ Speech models running on edge devices/offline
✔ Real-time audio streaming with WebRTC or gRPC
✔ Wake word, noise suppression, speaker detection
✔ Smooth integration into their apps or AI agents

Feel free to message me if you want to discuss your idea or validate a POC direction.

02/12/2025

TinyML is getting real 🚀

Just shared a new guide on how to run TensorFlow Lite Micro on ESP32-S3 — perfect for anyone building smart devices that need fast, offline AI.

In this article you’ll find:
• Why ESP32-S3 is great for micro-AI
• A simple example of running a neural network on-device
• Tips for memory, speed, and real-world deployment
• What we learned from recent client projects

If you're working on AI + IoT hardware, this one’s worth a read 👇
https://zediot.com/blog/esp32-s3-tensorflow-lite-micro/

We also help teams build custom ESP32 firmware and AI features — feel free to DM if you’re exploring a project.

Discover how ESP32-S3 TensorFlow Lite Micro enables on-device inference and embedded AI — from wake word detection to real-world edge intelligence applications.

28/11/2025

Real-time AI speech recognition just got a lot easier.

I just published a new guide on how to build a real-time ASR (speech-to-text) pipeline using SenseVoice and WebRTC.

In simple terms:
👉 WebRTC streams your audio in real time
👉 SenseVoice turns it into text with low latency
👉 Perfect for voice apps, smart devices, AI assistants, or edge deployments

If you're building anything with live audio, speech recognition, or edge AI, this walkthrough shows:

✔ How streaming inference works
✔ How to process audio chunks
✔ How to deploy on edge devices
✔ How to keep latency low in real-world use cases

Read the full guide 👇
https://zediot.com/blog/real-time-asr-sensevoice-webrtc/

If your team needs help building real-time speech AI or custom voice solutions, feel free to reach out!

Learn how to build a real-time ASR pipeline using SenseVoice and WebRTC streaming. This guide covers architecture, audio flow, and practical integration steps.

26/11/2025

Want to turn device events into actions that your team can see and control in real time?

We have just published a blog covering how we linked n8n workflows with AG-UI to build true visual automation, from user clicks to device commands and dashboards.

What you’ll learn:
✔ How the front-end (AG-UI) sends triggers and renders results
✔ How the backend (n8n) handles workflow logic, AI calls & MQTT
✔ A live use case: retail chain automation works across sites with one stack

Whether you’re in manufacturing, retail, or building automation, this is how you level up from simple alerts to full-stack automation.

👉 Check it out: https://zediot.com/blog/n8n-workflows-ag-ui-integration/

Create interactive and embedded UIs for n8n workflows using AG-UI. A practical guide to building real-time visual automation without complex frontend coding.

24/11/2025

🚀 New AI Dev Case Study from ZedIoT

We helped a data center detect hidden hardware problems using AI acoustic monitoring — yes, the system “listens” to servers and spots abnormal sound patterns before real failures happen.

This helped the client:

- Catch early fan and power issues
- Reduce downtime risks
- Improve maintenance efficiency
- Strengthen overall data center monitoring

A small change made a big difference.
If you're managing servers or infrastructure and want earlier visibility into potential hardware failures, we’d love to talk.
https://zediot.com/case/ai-acoustic-for-data-center-monitoring/

👉 Contact us for a free technical check.

We helped the customer enhance data center monitoring with AI acoustic analysis, catching hidden hardware issues early and reducing operational risk.