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SunTec.AI

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7 reviews
  • 1 profiles
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Average star rating
4.1
Serving customers since
2019

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SunTec.AI Reviews

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Nutritionist Kawaljeet K.
NK
Nutritionist Kawaljeet K.
Nutritionist at Makonis
04/11/2024
Validated Reviewer
Review source: Organic Review from User Profile
Incentivized Review

Machine learning, incredible and low cost comparatively # SUN TECH AI

i Worked promising with healthcare datasets, AI-based driven annotating datasets very precisely with the highest quality. Machine learning. low cost comparatively to the other products in the market. Google Maps and GPS inclusive.
Sameer C.
SC
Sameer C.
Software Engineer II A at Bank of America
08/13/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

A complete package for any type of annotation and its analytics

The best part about the tool is being a total package of all the types of annotations and provides accurate results. Apart from this, it is reducing costs by training the chatbots efficiently for answering most of the customer queries.
Vikash C.
VC
Vikash C.
Actiknow Consulting | IIT Roorkee
07/27/2022
Validated Reviewer
Review source: G2 invite
Incentivized Review

Best in class Data Annotation Service Provider

Provides the highest quality of datasets that powers the AI/ML models which helps in annotating the data very precisely with high security. They offer comprehensive data annotation services, including image, video & text labeling services. It works best in healthcare, robotics, satellite imagery.

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HQ Location:
Toronto, CA

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What is SunTec.AI?

SunTecAI is a specialized AI and machine learning service provider offering solutions for data annotation, image, video, and text processing tasks. Their services cater to a variety of industries, including autonomous vehicles, agriculture, e-commerce, and healthcare. SunTecAI focuses on delivering high-quality data services that support training AI models with precision and efficiency. They utilize advanced tools and a skilled workforce to ensure accurate and scalable data solutions.

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Year Founded
2019