Unlock Limitless Innovation with Our Custom Generative AI Development Services
Turn your unique pain points into powerful competitive advantages
Leverage Neontri’s cutting-edge Generative AI solutions to transform your business. From streamlining customer support to uncovering hidden market opportunities.
Benefits of
generative AI solutions
01
Accelerate innovation cycles
02
Gain a competitive edge
03
Create personalized customer experiences
04
Develop highly scalable solutions
What our clients say
about us
The IT specialists they provided possessed the necessary experience and required competencies. We recommend Neontri as a trustworthy and reliable business partner.
Wojciech Moraczewski
SENIOR MANAGER
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.
Piotr Durakiewicz
TEAM LEADER – DEPARTMENT OF ELECTRONIC BANKING APPLICATIONS
Neontri stood out with their commitment, technical competence, and understanding of KIR’s business needs.
Robert Trętowski
VICE PRESIDENT
Our generative AI
development services
We provide expert guidance through the AI landscape, helping our clients identify where GenAI will give them the biggest wins. Our specialists assess business requirements to select the right models and develop a clear implementation plan that avoids costly mistakes and delivers measurable results.
Our team builds comprehensive AI systems that tackle specific problems, managing everything from initial concept through successful deployment. Thus, our clients can focus on their priorities while we seamlessly handle AI implementation in the background.
Organizations face unique challenges that off-the-shelf solutions can’t address. Our custom generative AI models are built around clients’ proprietary data and specific needs, giving them capabilities that competitors can’t match.
AI success depends on a solid data foundation. Our engineers create optimized data pipelines that ensure GenAI models receive the high-quality, well-structured information they need to deliver accurate, valuable outputs.
We connect new capabilities with organizations’ existing systems, turning AI into practical tools their team can actually use. Our skilled developers ensure that GenAI solutions work smoothly with the clients’ current workflows and technology stacks.
Tailored solutions need continuous attention to maintain optimal performance. Our dedicated development team monitors, maintains, and improves GenAI systems so that they evolve alongside market demands and internal requirements.
Why are we your ideal
generative AI development partner?
Deep expertise in GenAI technogy
Our team brings specialized knowledge in cutting-edge generative AI technology. This expertise allows us to create scalable solutions that address complex business challenges.
Focus on tangible business value and ROI
We prioritize sustainable long-term value that justifies the investment in advanced technology. With the right approach, GenAI can deliver substantial returns, estimated at 3.7x per every dollar spent.
Strategic implementation approach
Before designing any AI concept, we explore our partners’ core business objectives. This approach ensures AI systems directly address strategic priorities rather than simply deploying impressive but impractical technology.
Unwavering commitment
Companies working with our team experience a 98% employee retention rate. This consistent performance demonstrates the level of commitment organizations can expect when choosing an experienced generative
Experienced team
Businesses gain access to seasoned data scientists and AI engineers with domain-specific knowledge in multiple industries. This combination of tech skills and hands-on experience translates into practical solutions that deliver immediate operational improvements.
Ethical AI development
Our LLMs development process minimizes algorithmic bias, ensures data security, and promotes responsible innovation that protects both businesses and their customers.
Our partners
Our 4-step generative AI
development approach
Real-world generative AI
use cases
01
Customer experience
GenAI can be used to provide customer support and improve the user experience. This is achieved by automating responses to common inquiries, providing personalized assistance, and quickly analyzing client issues to recommend solutions.
02
Translation and localization
AI systems can offer real-time, context-aware language translation, facilitating global communication. They can also assist in localizing content for different markets, considering cultural nuances and idiomatic expressions.
03
Operational automation
AI streamlines operations by automating complex, time-consuming tasks that traditionally require human input. It can tackle report generation, data analysis, and basic decision-making processes. By handling these repetitive activities, GenAI saves business resources and frees employees to focus on strategic goals.
04
Predictive analytics
GenAI models can predict future events by analyzing historical data. This feature can be used for diverse applications, including forecasting market trends, predicting product demand, anticipating consumer behavior, detecting fraudulent activities, predicting customer churn, and making investment decisions.
05
Product recommendations
Generative AI can analyze vast amounts of user data, including browsing history, purchase patterns, and demographic information, and based on this info, create highly personalized product suggestions. The system refines its recommendations over time by continuously learning from user feedback and buying decisions, improving accuracy and relevance.
06
Software development automation
GenAI solutions can significantly enhance code generation by producing boilerplate code and suggesting code completions. It can also create diverse test cases by understanding the application’s requirements and potential edge cases, analyzing test results, and suggesting optimizations for the testing process.
Neontri triple-layer
security framework
Our systems adhere to industry standards, including GDPR and DORA, ensuring AI implementations meet the highest compliance requirements. We implement advanced encryption, use secure coding practices, and conduct regular security audits to eliminate potential risks.
Client information used for AI training receives ironclad protection through NDAs and multi-layered access controls. These safeguards ensure that sensitive data remains safe throughout the development phases.
We implemented robust risk management mechanisms that can identify vulnerabilities before they become threats. Additionally, AI models receive continuous security updates, which create a protective shield against emerging security challenges.
Core technologies
Unlock your business’ true potential with Gen AI solutions from Neontri
GenAI
insights
Gemini AI vs ChatGPT: Which One Wins in Real-World Use Cases?
- Article
A Mobile Banking Application Targeted at Corporate Clients in 7 months
- Case study
7 Fintech Conferences to Attend in 2024
- Article
Data Hub: Next-Generation Offloading System for Banking
- Case study
Mobile Banking Benefits Explained
- Opinion
AI-Powered Transaction Categorization: Reshaping Financial Data Analysis
- Article
Frequently asked questions
AI models allow organizations to automate complex tasks, reduce operational costs, enable personalized customer experiences, and provide data-driven insights, leading to increased productivity and streamlined business activities.
No. Machine learning is a broader term encompassing various techniques for training computers to learn from data. Generative AI is a technology that focuses on creating new and original content.
Generative AI technology has diverse applications, including risk assessment, personalized financial advice, automated reporting, and algorithmic trading. It can also help in customer service by powering chatbots, assist in credit scoring by analyzing complex datasets, and enhance compliance efforts by monitoring transactions for suspicious activities.
Yes. Smaller companies might opt for pre-trained foundational models that require less infrastructure, while larger companies may develop custom systems tailored to their specific needs and business processes.
GenAI solutions are highly scalable, as they can adapt to increased data volumes and evolving demands with minimal infrastructure changes. They leverage cloud computing, allowing businesses to expand their AI capabilities without significant investments.