Discover the Next Generation of AI at GlobalSense
AI TECHNOLOGY WITH
10X+ MORE EFFICIENCY
AI TECHNOLOGY WITH
10X + LESS COST
OWNERSHIP OF UNIQUE
LOCALLY COLLECTED DATA
TECHNOLOGY: AI MODEL BUILDOUT PHASES
We have pioneered an innovative technology for creating custom AI models and deploying them through a revolutionary design. This approach not only drastically reduces cost and energy consumption but also accelerates the time to market. Our breakthroughs are rooted in our extensive in-house AI expertise and the optimization of each step in the productization of custom AI models. Our key innovations encompass:
- Advanced methods for collecting audio data from hard-to-access locations.
- State-of-the-art data curation and sanitization algorithms and tools.
- Unique feature extraction techniques.
- An innovative feedback path for product-to-model optimization.
With these mechanisms integrated into our premier AI model automation tools, we can design AI models that are significantly smaller and more cost-effective than most contemporary platforms. Moreover, our distinctive approach slashes the time-to-market, allowing us to quickly cater to our customers' specific needs and desires.
Technology: AI Model Buildout Phases
Feature Extraction Tool
Our Feature Extraction Toolsets Extensively Study Various Aspects Of Data Features And Create Strong Mathematical And Visual Mechanisms For Feature Comparisons:
1. Statistical Insights
2. Correlation Analysis
3. Importance Ranking
4. Dimensionality Reduction Visualizatio
5. Univariate and Multivariate Distributions
6. Feature Interactions
7. Outlier Detection
8. Missing Value Analysis
9. Feature Engineering Suggestions
10. Time Series Analysis
11. Categorical Feature Insights
12. Cluster Analysis
13. Scalability
14. Integrations
15. Interactive Dashboards
Data Sanitization And Design Tool
CUSTOM AI MODEL DESIGN AND
PRODUCTIZATION PROCESS
We've meticulously crafted a practical and effective process for designing and implementing custom AI models, specially tailored to meet the needs of our partners and customers. Our methodology consists of a phased approach that starts with project definition and extends all the way to mass production. This holistic strategy encompasses custom data collection and several stages of data preparation, culminating in an initial baseline model. We then proceed to create a robust, productized Minimum Viable Product (MVP) model.
To ensure comprehensive productization, we've aligned our methodology with the well-known Stage-Gate Manufacturing model. This integration ensures that all hardware (HW) and software (SW) elements are adequately considered. Our process includes four major checkpoints or "gates," which are aligned with standard practices in Stage-Gate Manufacturing:
1.Basis for Development
2.Basis for Production
3.Basis for Process
4.Basis for Market
This structured approach offers a very efficient pathway from the initial concept to a market-ready product.
This custom productization process, complemented by our in-house hardware (HW) and software (SW) tools, provides a comprehensive solution. Our offerings include specialized data collection devices, iterative optimization of AI models, and advanced hyperparameter tuning. Moreover, we have established a highly effective feedback loop between the device hardware and AI model design software. Combined, these elements contribute to a significant acceleration in the product's time-to-market (up to 10x or more).
TYPICAL CUSTOMER ENGAGEMENT AND PROJECT TIMELINE
Using our Data Collection and Interactive AI design process we have adopted an efficient project execution platform that involves close interaction with the customer. Typical projects can execute very rapidly leading to an MVP platform withthin an average period of 3 months.
Our approach to project management and development emphasizes on agility and customer engagement, both of which are essential in today’s fast-paced and competitive environment. Our Fast route implementing an MVP (Minimum Viable Product) in an average period of 3 months speaks to your efficiency and organizational capability.
The following is a breakdown of the key elements of our approach:
A. Data Collection
- Targeted Information: By focusing on data collection, we gain a comprehensive understanding of the customer's needs, the competitive landscape, and potential technical challenges.
- Data-Driven Decision-Making: Early data collection enables us to make informed decisions throughout the project lifecycle.
B. Interactive AI Design Process
- Adaptive Modeling:Our interactive design process allows for more efficient training of AI and machine learning algorithms, permitting iterations based on real-world testing and feedback.
- User Experience:The interactive design approach enhances the final product's user-friendliness and alignment with customer expectations.
C. Close Interaction with the Customer
- Customer Insights: Direct interaction with customers yields qualitative data that is invaluable for shaping the product's features and functionalities.
- Feedback Loop:This approach also establishes a strong feedback loop for ongoing improvement.
D. Rapid Execution to MVP
- Speed to Market:Our interactive design process allows for more efficient training of AI and machine learning algorithms, permitting iterations based on real-world testing and feedback.
- Resource Efficiency:This accelerated schedule necessitates a well-coordinated team and efficient resource allocation, an aspect we excel at.
E. Post-MVP Activities
- Quality Assurance: Given the fast-paced nature of our market reach, we've implemented robust testing procedures to ensure quality assurance.
- Managing Expectations: We collaborate closely with the customer to manage their post-MVP expectations.
- Data Privacy: Throughout the data collection process, we comply with regulations and best practices to ensure the privacy and security of our customer’s data.
- Post-MVP Scaling: After reaching the MVP milestone, we formulate a detailed post-MVP plan that includes scalability and long-term engagement strategies.
- Remote Collaboration: Recognizing the increasing prevalence of remote work, we integrate tools and best practices that facilitate efficient remote collaboration.
AI DATA COLLECTION AND
TEST DEVICES
