The AYR Advantage
The SingularityAI Platform optimally layers NLP, computer vision, proprietary OCR, and machine learning, making it easier for users like you to reuse models across use cases while experiencing the highest accuracy and extraction rates available in the market. The AYR approach reduces the number of sample documents required to train a model. AYR’s Intelligent Data Simulator™ enables users to create mass amounts of data and augment them to train a highly robust model that can deal with large data variations.
AI Pathfinder™
Optimally layers NLP, computer vision, proprietary OCR, and machine learning, AI Pathfinder makes it easier for users like you to reuse models across use cases while experiencing the highest accuracy and extraction rates available in the market.
Intelligent Data Simulator™ (IDS)
IDS reduces the sample documents required to train a model from thousands to one. This augmented and intelligent synthetic data generation solution enables you to create mass amounts of synthetic data to train a highly robust model that can deal with large data variations.
Transfer Learning
Advanced IDP/IIP vendors incorporate transfer learning from large, freely available backbone models like BERT and ImageNet. SingularityAI extends this by allowing users to create their own domain-specific backbone models, to enable the creation of more accurate fine-tuned models with less data.
Proprietary OCR
Next-Generation IDP does more than just OCR, but builds on the OCR foundation. AYR’s OCR is more accurate than leading commercially available OCRs. IDP vendors will often allow you to select from several OCRs to optimize results on a per-field basis. The AYR approach gives customers unmatched control to apply the most finely-tuned OCR for each field.
Human & AI Real-Time Interaction & Modeling
Business users work with our AI side-by-side in order to teach the AI how to process a given type of business document. The AI learns in real-time, trains and establishes its model in real-time, and makes predictions in real- time. This direct dialogue and interaction between the business users and the AI models cut out the “middleman” to allow the business subject matter experts to establish the model themselves, guided by the AI. This approach allows business users to focus on the business use cases and their value while leaving the underlying technologies to the SingularityAI platform.
Self-Training & Adapting to Improve Accuracy
The SingularityAI platform receives feedback from business users to verify questionable results or process new streams of data, to keep up with the dynamic changes in the real-world data streams. With Real-Time AI, business users are always included in the loop, but at non-technical, manageable, and minimal levels, to keep up with the changes in the production data streams. This allows SingularityAI to uniquely address one of the most significant challenges in AI implementation: usually, once the models are built and deployed, they are static and cannot adjust to changes or variances in the new data, and thus become less accurate over time.
No Data Scientist, No Coding, Easy Deployment
Data scientists are in high demand and short supply as enterprises move forward rapidly with AI technologies to accelerate their business growth. SingularityAI is a powerful platform with AutoML fully embedded to enable supervised learning. SingularityAI offers user-friendly interfaces that are designed to be operated by business users directly, without data scientists or programmers. With the full pipeline automated to optimize the data management and modeling, the deployment only involves API connections to the input and output of the data streams, making it easy to implement and maintain in production environments.
Small Sample Size to Achieve High Accuracy
Business users can start with small amounts of sample data to establish Real-Time AI models in a matter of hours or days. This allows them to validate their business use cases and make adjustments quickly. It helps them overcome one of the biggest challenges in AI implementation: it usually takes weeks to label enough data to start the first round of AI modeling, and it takes multiple iterations to reach a satisfactory level of accuracy to meet the business need. With a much shortened label-training-testing lifecycle, the business users can quickly establish the trend of the model involvement over time, and rapidly improve the accuracy with accelerated labeled data becoming available.
Why choose us?
We are people like you eager to improve the way we all live and work
Real-Time AI guides users through the process of labeling data, training and deploying models, and maintaining these models in a full cycle. Standard business users can train models themselves, apply them in real-time, and use these fast iterations to build production-ready models quickly, without requiring the input of the data science team. This facilitates an agile process where multiple concurrent projects can progress across the enterprise to achieve transformation at scale.
Our Service
Delivering the right solutions.
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Dedicated Development Team
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Mobile App Development Team
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Custom Software Development
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Business intelligence
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Machine Learning Agency
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User experience design
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Dedicated Development Team
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Mobile App Development Team
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Custom Software Development
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Business intelligence
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Machine Learning Agency
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User experience design
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Latest Work
See Our Portofolio.
What can we do for your needs
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Project Completed
Community Network
On Going Contract
Years Experience
We show you evidence
Machine Learning
356 Projects
Mobile App Development
2046 Projects
User experience design
4936 Projects
