ANCHI IoT Devices & Apps
From sensors and boards to connected products and dashboards. We help companies design, build, and deploy IoT devices and applications: from hardware and firmware to cloud connectivity, data pipelines, and user-facing dashboards.
Who we focus on
Industries
Manufacturing & Industrial
Monitoring machines, energy, environmental conditions, line performance
Logistics & Fleet / Asset Operators
Tracking vehicles, containers, temperature, vibration, shocks
Health & Wellness / Sports Tech
Wearables, fitness/rehab devices, home-use monitoring gadgets (non-diagnostic)
Startups Building Connected Products
Smart devices, consumer IoT, pilot hardware for new concepts
Typical pains
Many ideas on paper, but stuck at: "We have some sensors on a dev kit" or "We have an Excel sheet with manually collected values"
Hardware prototypes: work on the bench but are not robust for real-world deployment. Not designed for scaling (no enclosure, power constraints, production issues)
Apps & dashboards: Missing or ugly, only for internal dev use. No proper authentication, roles, or alerting
Data: Devices push data somewhere, but no clear data model, no retention strategy, no analytics or alerts
Service pillars
Pillar A – Device Concept & Hardware Architecture
Go from "We want to measure X" to a realistic device concept
Clarify use case:
- What needs to be measured? How often? In what environment?
- How will data be used (monitoring, alarms, AI models later)?
Architecture decisions:
- Which sensors? MCU vs. SoC, RAM/flash requirements
- Connectivity: BLE, WiFi, LTE/5G, LoRa, wired, etc.
- Power: mains, battery, energy harvesting; expected lifetime
Output:
System block diagram, list of required components & trade-offs (cost vs. capability).
Pillar B – Embedded Firmware & Device Logic
Reliable firmware that can actually run in the field
Develop firmware for:
- Sensor reading & calibration
- Local filtering / pre-processing
- Message packaging & send/receive
- Basic on-device fault detection
Techniques:
C/C++ / MicroPython / RTOS where needed. Power-aware design: sleep/wake, duty cycles. OTA-ready architecture.
Optional:
On-device basic signal processing, simple edge AI with tiny models if appropriate.
Pillar C – Connectivity & Data Pipeline
Data flows securely and reliably from device → cloud → applications
What we do:
- Connectivity layer: MQTT, HTTP, WebSockets, custom protocols. Gateway nodes if needed
- Cloud ingestion: Design data model, store in time-series DBs, relational DBs, object storage
- Processing layer: ETL/ELT jobs, rule engines for alerts, hooks for AI models later
Pillar D – IoT Dashboards, Control Apps & APIs
Give users a clear view and control over their devices
Web dashboards:
- Device status (online/offline, battery, last contact)
- Live and historical charts (signals, KPIs, environment metrics)
- Maps/locations for mobile assets, alarm panels, events, reports
Control features & APIs:
Send configuration commands, manage OTA updates. REST/GraphQL APIs for integration. Mobile apps for technicians or end-users.
Pillar E – Edge & Vision-enabled IoT
Where IoT meets Vision AI / Edge AI
Architect solutions where:
- Cameras + sensors live at edge devices, some inference happens locally (due to latency / bandwidth / privacy)
- Smart gateways combining vibration sensors + camera to assess machine states
- Small edge boxes (Jetson / similar) running: object counting, safety checks, simple anomaly detection
Integration:
Edge events sync with cloud, dashboards, and ticketing systems. Ties nicely with Vision AI service under Industrial AI & Ops.
Engagement models
Concept & Feasibility Sprint
3–6 weeks
For companies that only have an idea.
Activities:
- Workshops to define use cases, constraints, scale
- Choose sensors & connectivity approach
- Estimate BOM cost, power usage, deployment model
- Prototype simple firmware + fake dashboard
Deliverables:
Architecture doc, component list, risk assessment. Demo proving data can be captured, sent, stored, and displayed.
Pilot Deployment (PoC in the field)
For 5–50 devices
For a small but real deployment.
Activities:
- Design & build pilot hardware
- Develop firmware, backend, and basic dashboard
- Deploy in limited field conditions
- Collect feedback on reliability, UX, and data value
Deliverables:
Working end-to-end system in pilot, KPIs (uptime, data quality), recommendations for scaling or hardware revisions.
Scale-up & Productionization
When pilot works and client wants more
Activities:
- Hardware refinement (cost reduction, manufacturability)
- Improve OTA, security, performance, and observability
- Add missing features (multi-site, multi-tenant, more dashboards)
- Connect to client's IT systems (ERP, MES, maintenance systems)
Deliverables:
Version 1.x "production" platform ready for larger roll-out. Documentation & training for client's internal team.
Managed IoT Platform
Monthly Retainer
For clients who want ANCHI to operate the IoT layer:
Continuous monitoring of:
- Device connectivity & errors
- Cloud costs & scaling
- Data quality metrics
Ongoing improvements:
Firmware updates, performance optimizations, new dashboard views & reports.
Boundaries, safety & legal framing
Not a medical device manufacturer
Data privacy
Hardware responsibility
Ready to turn your IoT idea into a connected, production-ready system?
Have sensors and ideas but need a complete IoT solution? Let's design, build, and deploy your connected devices from hardware to cloud. Leave your information below, and the ANCHI team will contact you for a free consultation.