AI & Data Analytics
Your data, our know-how, we together invent right solutions.
Computer VisionNLPTimeseriesSupervisedUnsupervisedReinforcement learningMLOpsYour data, our know-how, we together invent right solutions.
Computer VisionNLPTimeseriesSupervisedUnsupervisedReinforcement learningMLOpsWe help you design and implement reliable, robust and scalable data infrastructure.
AWSAzureGCPETLDatabricksSnowflakeModern technologies, best practices with human touch for well-crafted software solutions.
PythonPyramidFastAPIFlaskJavaScriptReactVueSveltePostgreSQLCI/CDWe have done some successful works in our previous jobs and now we are ready to take new challenges.
As businesses grow, so does their internal knowledge base. The ability to retrieve information quickly and accurately is crucial for companies to remain competitive. Traditionally, companies have used keyword searches to retrieve information, but this method has limitations in terms of accuracy and context. However, advances in natural language processing (NLP) and deep learning have made it possible to use GPT models and embedding techniques for more effective internal information retrieval.
Better utilize, search and share existing content and knowledge. Improve digital service businesses and customer experience.
As businesses grow, so does their internal knowledge base. The ability to retrieve information quickly and accurately is crucial for companies to remain competitive. Traditionally, companies have used keyword searches to retrieve information, but this method has limitations in terms of accuracy and context. However, advances in natural language processing (NLP) and deep learning have made it possible to use GPT models and embedding techniques for more effective internal information retrieval.
Better utilize, search and share existing content and knowledge. Improve digital service businesses and customer experience.
As data becomes increasingly complex, detecting anomalies or deviations in data has become a crucial task in many industries, including finance, healthcare, and manufacturing. One common approach to anomaly detection is the Hotelling approach, which relies on multivariate statistical analysis to identify observations that deviate from the norm.
An application of deep learning models in medical imaging for breast cancer diagnosis, specifically in identifying different types of breast cancer cells. The study utilized DeepLabV3Plus with EfficientNet-B0 as the backbone, and also incorporated various augmentation techniques for data processing. The results showed promising accuracy rates, highlighting the potential of AI in improving medical diagnoses.
Using AI based solutions, we can now detect multiple types of defects such as cracks, scratches, crease, pit, hole from multiple materials such as glass, plastic, concrete, at different scales
Utilize ML models to score the churn likelihood for all the customers monthly, based on the updated customer data. The solution automatically identifies most of churnable customers with a high precision. The client can offer campaigns to the right targeted customers, saving costs and increase the customer retention.
Drive your customer's buying decisions by promptly recommending right products & dosage and estimated cost during sales meetings
Let's explore a sample architecture leveraging Microsoft Azure for an AI-driven solution that predicts product quality and suggests optimal process configurations.
Bringing fresh ideas, we work in your team to help you in AI & Analytics and Software development projects.
We take the challenges from you, design concepts, build solutions and bring your vision to life.
Team Loisto AI is buzzing with excitement as we welcome Tommy Vu, our new Co-Founder and Chief Operating Officer! Tommy's arrival marks a new chapter in our journey, infusing our mission with over 10 years of his formidable expertise in data strategy and management within finance, banking, and insurance sectors.
Anomaly detection is a critical task across a wide range of industries, from manufacturing and industrial processes to finance and healthcare. Anomaly detection refers to the identification of rare or unusual events or observations that differ from the expected or typical behavior. One of the primary applications of anomaly detection is fault detection. In manufacturing and industrial processes, for example, anomalies in sensor data can indicate equipment failures, product defects, or other issues that can lead to costly downtime, safety risks, and other problems.
In the past, formulation development was a time-consuming process that relied heavily on trial-and-error experiments. But with the advent of AI, we can now develop formulations more quickly, accurately, and cost-effectively than ever before.
Working closely with clients, understanding the problems we're solving, and bringing our commitment to the table are the keys to success.
Ten years ago, I started my journey as a consultant. I learned from my clients, I performed my tasks with dedication, and I delivered quality work. My compass has always been to focus on their success. Now, with Loisto AI, I continue to embody these values, striving to learn, perform, and deliver, with the goal of helping our clients achieve their goals.