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Founded in 2017, our team at TLVTech is an all-around technology partner that helps businesses scale and conquer their goals. We are a team that’s committed to supporting all kinds of businesses, creating solutions for various functions, and providing insightful consultations to best streamline operations. We let our clients have full focus on their core functions while we handle their tech needs.
With that being said, we’re extremely excited to announce fantastic news that was made possible by our gracious clients. Just recently, TLVTech won The Manifest Company Award for the most reviewed and recommended B2B partner in New York City this 2024! According to their latest report, our team is among the city’s finest leaders for the following services:
The Manifest is a business news and how-to website from Washington DC. The resource is known for its annual award cycle that aims to spotlight outstanding service providers across different industries worldwide. The awardees are chosen based on quantitive criteria that focus on the volume of honest testimonials and endorsements each firm earned over the preceding twelve months.
We’d like to seize this opportunity to express our sincerest gratitude to our invaluable clients. Your support is what helped us unlock this milestone.
On behalf of the entire TLVTech team, thank you so much for believing in us!
Interested to know more about our work? Connect with TLVTech and let’s schedule a meeting for your project.
The mobile app world is evolving fast — from AI-first experiences to privacy-by-design and cross-platform dominance. In 2025, building a great app means more than just writing code — it’s about anticipating user expectations and moving faster than the competition. In this post, we break down the key trends shaping mobile development this year, and how smart teams are turning them into product advantages.
- Artificial Intelligence (AI) plays a crucial role in computer vision, enabling computers to understand and analyze images. - AI powers specific tasks in computer vision, such as object detection and facial recognition. - Unlike standard image processing that alters images, computer vision interprets the meaning behind images using AI. - Computer vision classifications include image recognition, object detection, and semantic segmentation. - Practical applications of computer vision are diverse, including facial unlock on smartphones and dynamic object detection in self-driving cars. - AI systems like Google's Vision AI and Microsoft Azure have unique abilities to interpret visual data and facilitate facial recognition. - Real-world application constraints of computer vision include a need for clear imagery and sufficient datasets for learning. - Examples of real-world implications are AI recognizing diseases in healthcare, aiding self-driving cars, and speeding up retail checkouts. - Advances in visual recognition due to AI include medical diagnostics, security applications, and interaction capabilities in robotics.
Most teams fear testing slows them down. We prove the opposite—smart testing makes fullstack teams ship faster, safer, and with total confidence in every release.
