BYFLARE TECHNOLOGIES (OPC) PRIVATE
For developers, machine learning enthusiasts, and iOS users seeking home screen customization.
Neural Object Detector
Snapshot
Who is BYFLARE TECHNOLOGIES (OPC) PRIVATE?
Providing specialized utility tools for developers and mobile personalization enthusiasts.
Target audience
Portfolio
Free 1Last updated
Neural Object Detector
v1.5
4.5y ago
Publisher DNA
What defines BYFLARE TECHNOLOGIES (OPC) PRIVATE?
Publisher DNA
Primary focus
Technical utilities and mobile personalization
Scale
indie
Target audience
Developers, machine learning enthusiasts, and iOS users seeking home screen customization.
Signature Patterns
- •Focus on niche technical utilities including Machine Learning and computer vision
- •Monetization via upfront paid models rather than in-app purchases or advertising
- •Targeting specific iOS-centric features for power users and developers
- •Low maintenance cadence with long periods between version updates
Portfolio momentum
No updates have been released across the portfolio in the last 6 months, with both titles currently classified as abandoned.
Portfolio
What does BYFLARE TECHNOLOGIES (OPC) PRIVATE ship?
Apps
4 apps analysed
- One-time $1.99 purchase removes subscription friction
Analysis in progress
Single-market publisher, every app ships only to United States.
Based on 2 of 4 apps with localized market data, more coverage rolling in as scans complete · last scanned .
Americas (1)
- United States2 / 2
Core markets (2/2 apps)
Rivals
Who does BYFLARE TECHNOLOGIES (OPC) PRIVATE compete with?
The rivals identified
Nemeses(1)
Both apps target developers and enthusiasts performing on-device image analysis and machine learning model testing. They compete directly through shared support for custom model imports and file-based data sources.
Contenders(1)
Both applications target developers testing machine learning models on mobile devices, with overlapping support for YOLO-based object detection.
Same space(20)
Integrates visual recognition with conversational AI, providing a broader search utility than the source app's specialized detection focus.
Offers statistical analysis and model evaluation tools that complement the visual detection focus of the source app.
Applies object detection to professional survey workflows, providing a practical use case for the source app's core technology.
Functions as a direct peer in the real-time object detection space, utilizing the same YOLO architecture as the source app.
Demonstrates image recognition capabilities using local processing, mirroring the source app's focus on on-device model execution.
Provides a visual educational environment for understanding the underlying math of deep learning models used in object detection.
Expands the scope of AI-based mobile tools from 2D object detection to 3D asset generation for similar creative audiences.
Provides the dataset creation workflow necessary to train the custom models that users import into the source app.
Offers a simplified classification interface that acts as a basic alternative to the source app's developer-focused detection tools.
Serves as a data preparation utility for the same computer vision projects that utilize the source app for detection.
Acts as a general-purpose recognition tool for the same camera-based input used by the source app.
Provides a broad-spectrum object recognition utility that complements the source app's focused developer environment.
Acts as a companion tool for managing the prompts and metadata required to configure the models tested in the source app.
Provides a comprehensive on-device training environment that serves as an alternative to the source app's import-only workflow.
Provides a consumer-facing implementation of the object recognition technology that the source app allows developers to test.
Extends the source app's model testing capabilities by adding server-side integration for remote prediction processing.
Provides the educational news and glossary content that supports the technical development work performed in the source app.
Provides a similar real-time detection experience but focuses on a specific model architecture for daily utility tasks.
Serves as an educational sandbox for the same target audience, providing visual neural network labs that complement the technical testing focus of the source app.
Focuses on the same algorithmic experimentation as the source app but targets the educational segment rather than developer testing.
The Analyst's Read
The bottom line on BYFLARE TECHNOLOGIES (OPC) PRIVATE
Bottom line
Byflare Technologies is a small-scale utility publisher that has transitioned into a legacy state. While their products address specific technical niches like mobile computer vision, the lack of recent development suggests a portfolio in maintenance or sunset mode.
Frequently asked questions
How many apps does BYFLARE TECHNOLOGIES (OPC) PRIVATE publish?
What kind of apps does BYFLARE TECHNOLOGIES (OPC) PRIVATE make?
What is BYFLARE TECHNOLOGIES (OPC) PRIVATE's top app?
In how many countries are BYFLARE TECHNOLOGIES (OPC) PRIVATE's apps available?
What fed this analysis
- Apps analyzed:
- 2
- With full intel:
- 0
- With overview:
- 2
- Website scraped:
- yes
- Social presence:
- no