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Case Studies
283
Suppliers
15
Case Studies
283
AI-Based Robot Calibration
The client was in the process of developing a smart table tennis robot that can be controlled by a mobile app. The app can be used by players to configure or choose from a list of pre-programmed drills. The robot plays the drills and programs as per user configuration; however, performance reduces over time due to aspects such as the wear and tear of machine parts. Additionally, faulty installation, errors in table dimensions, and alignment changes caused during shipping impact accuracy.QBurst was tasked with improving firmware performance. The project would focus on enhancements to the calibration mechanism of robots leading to improved gameplay and user satisfaction. The client wanted the calibration mechanism to be easy to use and repeatable.
Theta Tech AI: Enhancing Healthcare AI Systems with Neptune
Theta Tech AI, a company that builds customized artificial intelligence algorithms and front-end user interfaces for large-scale healthcare AI systems, faced several challenges in developing generalizable medical AI systems. The team had to manage thousands of experiments for large-scale parallel training workflows, which were run on GPU servers in AWS. However, they found that AWS CloudWatch Logs, their initial choice for monitoring the jobs, was inadequate for managing experiment logs. The team was unable to get experiment-relevant metrics from AWS CloudWatch Logs, debug problems with training jobs and experiments, integrate Optuna for hyperparameter optimization, and communicate the results of ML models to clients effectively.
EarthSnap: Transforming AI Image Identification with MLOps & Managed AI
Earth.com, a leading internet platform for environmental enthusiasts, aimed to accelerate the development and delivery of EarthSnap, an AI-powered image identification application. The goal was to modernize and automate the application’s machine learning (ML) infrastructure, simplify the deployment of new models, and reduce administrative costs. The company insisted on following best practices for end-to-end ML, DevOps, and app development. However, Earth.com lacked an in-house ML engineering team, which made it challenging to add new datasets, improve existing models, release new ones, and scale the ML solution. The models delivered by their previous partner were satisfactory in terms of accuracy but required manual sequential execution for data processing and model retraining. The deployment of endpoints also had to be done manually. Earth.com sought a new strategic partner to streamline the delivery of EarthSnap to market, and Provectus, an AWS Premier Consulting Partner, was chosen for the role.
Suppliers
15
Reality AI
Reality AI
An AI Signal Processing Engineer that identifies events, conditions and anomalies in signal and sensor data. Intended for use by R&D departments at companies creating devices and equipment instrumented with sensors, Reality AI Tools generates detection code that can be incorporated into our customer’s products, running either in the cloud, or at the edge on inexpensive, commodity hardware. Works with any type of sensor, alone or in Sensor Fusion. Best for higher sample-rate applications. Reality AI holds 10 patents and 6 patents-pending, all in the field of Machine Learning as applied to sensors and signals.
KayaDev AI
KayaDev AI
We are a young, modern and efficiency-focused company that will leverage emergent technologies to provide innovative, cutting-edge and affordable solutions. We are your best bet for Business Automation, Data Analytics, and Big Data.
Element AI
Element AI
Element AI is an Artificial Intelligence company that gives organizations unparalleled access to cutting-edge technology. The company launches and incubates advanced AI-First solutions in partnership with large corporations. They deliver AI software products that augment decisions to make your business stronger, safer, and more agile. Element AI allows accelerating the deployment and commercialization of solutions that meet customer needs for the operationalization of AI while continuing to develop AI products. It maintains a strong connection to academia through research collaborations and takes a leadership position in policy-making around the impact of technology on society. The has built an AI systems integrator of sorts to help other companies develop and implement Artificial Intelligence solutions an Accenture??? for Machine Learning, neural network-based solutions, and computer vision applications. Element AI was founded in 2016 and is headquartered in Montr√?al, Quebec, Canada.

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