There is a quiet moment that many IoT builders experience, usually not during a demo, but months after deployment.
The dashboards are running.
The sensors are sending data.
Customers are asking better questions.
And suddenly, a simple platform feels… insufficient.
This is the moment the Favoriot Developer Plan was built for.
Not for casual exploration.
Not for learning what IoT looks like.
But for those who build solutions for others and carry responsibility beyond their own projects.
Built for Those Who Serve Customers, Not Just Use Systems
The Developer Plan was designed for system integrators, solution providers, and advanced teams who develop and manage IoT services for multiple clients.
These users are not experimenting.
They are delivering outcomes.
A single account, a single dashboard, or a single view of data is no longer practical when every customer expects ownership, clarity, and trust.
This is where multi-tenancy becomes essential.
Each customer operates within their own environment, complete with isolated dashboards and access controls. Data remains separated. Experiences remain personal. Accountability remains clear.
For solution providers, this architecture is the foundation of scale.
A Simple Use Case That Reveals a Bigger Need
One real-world example comes from a team offering indoor air quality monitoring services.
Their customers wanted more than raw numbers.
They wanted reassurance.
Air quality parameters, including CO₂ levels, temperature, and humidity, were deployed across offices and facilities. Each client needed visibility into their own environment, not someone else’s.
With the Developer Plan, this was straightforward.
Each customer received their own login.
Each dashboard reflected only its data.
Each management team could monitor staff health and safety without complexity.
The solution itself was simple.
The responsibility behind it was not.
Analytics That Move Beyond Observation
Many IoT platforms stop at visualisation.
Real-time charts.
Historical trends.
Scrollable timelines.
This answers only one question: What happened?
The Developer Plan was designed to go further by supporting the full progression of analytics maturity.
Descriptive Analytics
Users can view real-time and historical data across dashboards to understand system behaviour over time.
Diagnostic Analytics
Patterns begin to matter.
When did changes occur?
What caused spikes or drops?
What is normal and what is not?
Averages, minimums, maximums, and trend windows allow users to interpret events rather than merely observe them.
Predictive Analytics
With embedded machine learning models, historical sensor data becomes training data.
The platform can estimate near-future behaviour, from the next hour to the next day, helping teams anticipate issues before they surface.
Prescriptive Analytics
Insights only matter when action follows.
Using rule-based logic combined with machine learning inference, the system can recommend or trigger responses when certain conditions are met.
Alerts can be sent via Telegram, SMS, or email.
Actions can be escalated to engineers or management.
In selected cases, actuation can occur automatically.
Still, some decisions must remain human-led. The platform supports judgment rather than replacing it.
Turning Raw Data Into Meaningful States
One practical outcome of machine learning is state classification.
Instead of presenting endless streams of numbers, conditions can be grouped into clear states.
Low risk.
Medium risk.
High risk.
This matters most when systems affect people, safety, or operations. Clear signals help teams respond with confidence rather than hesitation.
Managing Devices That Are Never Nearby
IoT devices are rarely deployed in convenient locations.
They are installed across regions, states, and remote sites where manual maintenance is expensive and slow.
The Developer Plan includes over-the-air firmware updates, allowing teams to deploy improvements, fixes, and security updates remotely.
No retrieval.
No travel.
No disruption.
For large-scale deployments, this is not optional. It is an operational reality.
Solving Data Mismatch at the Edge
Another challenge frequently encountered is inconsistent data formats.
Devices from different vendors speak differently. Payloads vary. Structures change.
The edge gateway feature addresses this by mapping incoming data into a format the platform can process directly. This reduces the need to rewrite device firmware or add extra preprocessing layers.
Integration becomes simpler.
Maintenance becomes lighter.
Systems become easier to extend.
Scaling Without Fear of Limits
As solutions grow, so does data traffic.
To support real-world usage, the Developer Plan significantly expands daily API capacity, from 50,000 to 500,000 calls per day.
This allows system integrators to manage multiple customers without constantly calculating usage thresholds or restricting services.
Growth should feel natural, not constrained.
The Kitchen Analogy That Explains Everything
The difference between plans is not about features. It is about intent.
A Free plan is walking into a restaurant to look around.
A Lite plan is tasting a simple dish.
A Beginner plan is enjoying a full meal.
The Developer Plan is different.
It is owning the kitchen.
You decide what to build.
You choose how to serve.
You adapt the menu to each customer.
With that control comes responsibility, flexibility, and the freedom to create services that truly fit real needs.
Practical Tips for IoT Builders Considering the Developer Plan
- Choose this plan only when you are building for others, not just yourself
- Design multi-tenant dashboards early to avoid painful migrations later
- Treat analytics as a journey, not a checkbox
- Use machine learning to simplify decisions, not complicate systems
- Plan for remote operations from day one, including updates and integration
A Call to Action for Serious Builders
If you are delivering IoT services, managing multiple customers, or turning technology into long-term solutions, the Developer Plan was built with you in mind.
Stop thinking like a dashboard user.
Start thinking like a builder running a kitchen.
Explore the plan.
Test its boundaries.
Build something that lasts.
And if you are already on this path, share your experience with the IoT World community. Your story might help the next builder take their first confident step.
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