Unlock the Future with GenAI-Powered Solutions
Drive innovation, enhance customer experiences, and achieve operational excellence with GenAI.
GenAI is more than just a solution; it’s your strategic partner in the digital age. Neontri’s GenAI development services are tailored to harness the power of artificial intelligence. Due to 10+ years experience in working with various technologies, including Machine Learning, we see tremendous potential in laveraging such solutions for companies. Now is the time to show you that the future equals Gen AI.
Our clients
We work for industry leaders and challengers. Our aim is to build long-lasting client relationships and become their vendor of choice. 100% client retention rate in 2022 validates our success.
Your pain points, our solutions
Complex Customer Journeys
Navigating the digital landscape can be intricate.
SOLUTION
GenAI offers personalized recommendations and support, simplifying the user journey.
Operational Bottlenecks
Efficiency can be hampered by manual processes.
Solution
Automate repetitive tasks and optimize workflows with GenAI.
Data Overload
The sheer volume of data can be overwhelming.
Solution
GenAI analyzes and provides actionable insights, turning data into a strategic asset.
Security Concerns
The digital realm is fraught with potential threats.
Solution
GenAI identifies vulnerabilities and strengthens security protocols.
Innovation Stagnation
Staying ahead in the digital age requires constant innovation.
Solution
GenAI drives product development, ensuring you remain at the forefront of your industry.
What can you improve with Gen AI?
Customer support and customer experience.
Generative AI can be used to provide customer support and improve the customer experience. This can help businesses to resolve customer issues more quickly and efficiently.
Performance management and coaching
Generative AI can be used to provide performance feedback and coaching to employees. This can help businesses to improve employee performance and productivity.
Operational automation
We can use GenAI models to automate tasks that would otherwise be done by humans, such as generating marketing copy, or creating customer support tickets. This can save businesses time and money, and it can also free up human employees to focus on more creative and strategic tasks.
Predictive analytics
Generative AI can be used to predict future events by analyzing historical data. This can be used for a variety of purposes, such as forecasting demand, detecting fraud, and making investment decisions. For example, generative AI is being used to predict customer churn or detect credit card fraud.
Content creation
Generative AI is being used to create new text, images, music, and other forms of content. This can be used for a variety of purposes, such as marketing, entertainment, and education. For example, Generative AI is being used to create personalized news feeds, generate realistic product descriptions, and write creative content
Code generation, documentation, and QA
Generative AI can be used to generate code, documentation, and test cases. This can help businesses to automate their software development processes and improve the quality of their code.
How to utilize Gen AI in Banking?
Transform your bank’s efficiency with GenAI. Lessen chargebacks, reduce admin expenses, and enhance helpdesk support. Our PDF reveals how. Download today and lead the change!
Why people love Neontri
Neontri stood out with their commitment, technical competence, and understanding of KIR’s business needs.
A solution co-developed with Neontri has reduced the number of queries directed to the central system, resulting in lower infrastructure costs and customer service time.
The IT specialists they provided possessed the necessary experience and required competencies. We recommend Neontri as a trustworthy and reliable business partner.
Frequently Asked Questions about Gen AI
Generative AI is a type of supervised learning AI. Supervised learning is a type of machine learning where the AI model is trained on labeled data. The labels tell the AI model what the output should be for a given input. In the case of generative AI, the labels are the desired output, such as an image, text, or music.
The short answer to your question is it is unlikely that generative AI will replace humans.
Generative AI is still in its early stages of development, and it is not yet capable of doing many of the things that humans can do, such as:
Understanding and responding to complex emotions.
Making creative and innovative decisions.
Working collaboratively with other humans.
Empathizing with others.
No, Generative AI is not the same as machine learning. Machine learning is a broader term that encompasses a variety of techniques for training computers to learn from data. Generative AI is a specific type of machine learning that focuses on creating new and original content.
Generative AI is already being used in a variety of ways in the real world, and its potential applications are only limited by our imagination. Here are some of the most common ways that generative AI is being used today:
Content creation: Generative AI is being used to create new text, images, music, and other forms of content. This can be used for a variety of purposes, such as marketing, entertainment, and education. For example, generative AI is being used to create personalized news feeds, generate realistic product descriptions, and write creative content such as poems, code, scripts, musical pieces, email, letters, etc.
Data generation: Generative AI is being used to generate synthetic data that is similar to real-world data. This can be used to train machine learning models and test software without having to collect sensitive or personal data. For example, generative AI is being used to generate synthetic medical images for training AI models to diagnose diseases.
Virtual reality: Generative AI is being used to create virtual worlds that are more realistic and immersive. This can be used for gaming, training, and entertainment. For example, generative AI is being used to create virtual worlds for training surgeons or astronauts.
Predictive analytics: Generative AI can be used to predict future events by analyzing historical data. This can be used for a variety of purposes, such as forecasting demand, detecting fraud, and making investment decisions. For example, generative AI is being used to predict customer churn or detect credit card fraud.
Drug discovery: Generative AI is being used to discover new drugs and treatments. For example, generative AI is being used to design new molecules that could potentially be used to treat diseases.
Material science: Generative AI is being used to design new materials with desired properties. For example, generative AI is being used to design new materials that could be used to make stronger and lighter aircraft.
Climate change: Generative AI is being used to study climate change and develop solutions to mitigate its effects. For example, generative AI is being used to simulate future climate scenarios and develop strategies to adapt to climate change.
