AI ML development company

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Validate your idea, put processes on autopilot, and craft efficient products. Make better decisions by using clever algorithms to find insights. We assist in transforming intricate data into workable solutions that grow with your company.

LLM integration and creation to help you open up new opportunities

COAX’s LLM development and AI training services will bring you an unfair advantage. While your competitors use generic models, you will own your own, trained on your data. From rapid scaling to explosive revenue growth, we guide you through all stages of AI development to build solutions that truly deliver results. Scale operations and drive revenue growth with machine learning development services by COAX.

Assess your AI implementation readiness

AI model development services delivered by COAX

Training your custom model
Our AI development team provides enterprise AI development services using proven technologies like Hugging Face models, secure LLM APIs, and scikit-learn. We focus on fine-tuning existing models and LLM integration, creating practical systems that address your specific industry requirements.

Your data can become meaningful insights when you use NLP analysis and semantic text processing. Our AI solutions help with pattern discovery through vector-based similarity matching using FAISS indices, and predictive analytics models open up better, data-backed decisions. With us, analytics solutions are crafted to enhance operational effectiveness through selective data processing.

We develop computer vision solutions using technologies like EasyOCR for text detection in images. Our experience includes implementing object detection capabilities for automation needs. We create practical computer vision solutions that integrate with existing systems, focusing on real-world applications rather than experimental features.

Partner with our NLP services company to implement practical language processing solutions. UEmpowered by advanced models and semantic text analysis, our NLP development services build systems for text understanding and content processing. We focus on real-world applications where natural language processing boosts existing workflows.

Develop recommendation systems using proven algorithms and statistical analysis. We cater to diverse requests from eCommerce recommendation systems to data-rooted content recommendation engines, our implementations are based on established frameworks. This means our experts craft algorithms, and AI only supports but does not make real-time decisions.

With practical LLM integration services, you can forget bottlenecks. We implement multi-modal LLM integration by established protocols like Model Context Protocol (MCP) for integrating AI into existing infrastructures. The principle is simple: AI accelerates processes, but it’s our team that ensures reliable implementation validates outcomes.

What our clients say


I was most impressed by the quality of the end product.

While my ideas formed the basis for the work, they delivered a far more superior product than I imagined with greater flexibility and viability of features. They exceeded expectations so many times it got to the point I couldn't wait to see what they came up with next.

Dan Brooks

President, Krytter

COAX have delivered immense value to our business as our valued strategic development partner.

I implicitly trust the whole COAX team to do the right thing by location:live, and to have blunt and honest conversations with me when we are in the thick of delivery. COAX are the engine room and compass behind our market-leading tech.

Neil Winkworth

CTPO, Location Live

The solution created by COAX is better than I could have anticipated.

The app is simple to use, effective, well designed and never fails. Highlights of the COAX service are a clear, transparent specification with realistic cost estimate, project managers that are responsive, always helpful and communicate clearly, a strong technical team and a company that I can trust.

Phil Cushion

Founder, SiteSurvey Plus

I heavily relied on COAX for not only the development of my core product, but also assistance in all the other support infrastructure in hosting my product.

The team also went above and beyond their existing web development skillset by making effort to understand the domain specific (financial modelling) math and technicalities of my product.

Tim

Founder, Peercents

COAX’s team is second to none designing, developing, and deploying websites.

I was delighted by COAX attention to detail and ability to deliver such a complex project. I highly recommend COAX to anyone looking for a reliable and talented web development team.

Mason Blake

Co-founder and CTO, Ratio

In working with COAX, we found them to be highly professional.

We have continued our ongoing relationship and cooperation with COAX on this project thanks to the ongoing support they continue to offer us.

Ashley Greenfelder

Director, Re:Plan

Their highly responsive team had the technical know-how to seamlessly incorporate non-standard features.

Despite facing tight crucial deadlines, they worked tirelessly around the clock to deliver the project on time, even accommodating additional feature requests. We are immensely thankful for their hard work, which resulted in exceptional outcomes.

Ali Ghafour

CEO, 2020 Armor

Throughout the years, we have maintained a strong relationship based on mutual trust and respect.

From the start, we prioritized flexibility, particularly in terms of working within our monthly budget and delivering new features and functionalities every two weeks. Our communication with both the project manager and team members has been exceptional, and we have consistently received high-quality product delivery and support.

Andrew Macfarlane

Founder & CEO, Carezapp

You will not often find such an approach in the outsourcing development market.

From the first day, the COAX team established themselves as optimistic. After the guys spent a dozen hours sorting out our problems and never once talked about money, we realized that this team was ready to go the extra mile. We were finally convinced of the prospects for cooperation when the COAX CTO came to our British office in person with a detailed presentation of the renovation.

Richard Murray

CEO, Antique Ecommerce Marketplace

We liked the COAX team’s deep-diving approach and attention to detail.

Their incremental approach with feedback loops allowed us to see results from the early stages and ensured we stayed on the right track. But most importantly, we felt that they genuinely cared about our project. Doing their best to make it as perfect as possible, they were always there for us, on-site rather than online.

Mykola Bronitskyy

Co-founder, GrandBus

They always respond right away to any questions or requests that we have and contribute really good ideas.

The development work delivered by COAX has satisfied all project stakeholder requirements for the project and helped to streamline internal company processes for the client. Their team is communicative and helpful throughout the work, contributing ideas to make the product even better.

Peter Goian

General Manger, TRI

AI development in action

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What makes COAX a top AI development company?

Comprehensive AI development arsenal

Python

pytorch

Anthropic

OpenAI

ElevenLabs

langchain

AI performance optimization, 24/7

Our custom generative AI development services do not just leave you on your own after launch  — through tracking and enhancement, we continually optimize for maximum performance.

Proven expertise with integrations

We integrate neural network architecture with your current systems with precision driven by our experience. Whether by using transfer learning or bespoke model optimization, perfect compatibility with your current tools and processes is a full guarantee.

Support throughout the lifecycle

COAX engineers support you from early data preprocessing to deployment (and beyond). Our support isn’t fragmented: it includes tuning of the ongoing model and scaling assistance for sustained success.

Approach based on your ROI

Every piece of functionality we design is created with your bottom line in mind. Our measure of success is based on the real-world value we add to your business.

Security standards for unbreakable stability

Our teams don’t stop at the minimum compliance. We use enterprise AI solutions with top-of-the-line security, protecting your training data management and AI assets with high-level encryption and broad monitoring mechanisms.

Ethical and responsible artificial intelligence

At COAX, we believe in developing AI solutions that are transparent, fair, and explainable. We deploy bias detection, auditing mechanisms, and documentation to make sure that your models are making decisions that you can trust and meet regulatory requirements.

Revealing our AI development process

Frequently asked questions and answers

When you choose the services of the best generative AI development company, you take complexity out of proces automation, make decision-making faster and more informed, and stand out in the market with an ever-going innovation. The mechanism is clear, as AI automation helps boost long-term revenue through lower financing of inefficient operations, and getting your systems trained on company-specific data ensures relevance and up-to-date products which give you better market positions. This already proves real in global business: LTIMindtree saw a 30% employee efficiency improvement and a 20% decrease in time spent on less important tasks with the use of an AI system.

Within AI training services, fine-tuning takes an AI model that has learned general patterns from enormous datasets and then trains it on a smaller, specialized dataset of your particular task or domain. This process also adjusts the parameters of the model (like temperature, top-p, and top-k) to better comprehend and respond to your specific use case, responding with your brand voice and with facts and numbers not only true but relevant to your company and clients. As stated in 2025 McKinsey AI report, fine-tuned models improve accuracy and business efficienc by 24-37%.

Off-the-shelf generic models are often cost-effective for small tasks and basic automation. However, for large-scale use cases, they present risks. Gartner estimates that 30% of the projects based on AI fail after the proof of concept due to generic data usage and hallucination. Moreover, Hiddenlayer estimates that at least 74% of AI products experienced breaches in 2024. Meanwhile, custom-tuned AI models have stricter security patches and are trained on accurate data that drives efficiency, especially important for logistics, transportation, healthcare, financial, and legal services.

Such services boost accuracy of the AI models through techniques like hyperparameter tuning, data augmentation, architecture optimization, and special training that improve accuracy, speed, and efficiency. For example, they might use techniques like learning rate scheduling and batch size optimization to increase the accuracy of a computer vision model, use model pruning to reduce the size of an NLP without sacrificing performance, or leverage transfer learning to allow a medical imaging AI to reach diagnostic-level accuracy.

Computer vision experts employ AI with advanced visual recognition systems, ensuring quality control automation, and implement specific functionality for your products or whole enterprise. For instance, TI Fluid Systems used computer vision AI to detect tiny holes (1mm and below) in high-speed steel strips. The AI-driven system is capable of real-time image processing, identifying defects, and labeling faulty areas automatically without human touch. This improved their quality of output and provided better traceability for quality audits.

These AI-based engines review massive datasets of customer reviews, browsing history and communication data and generate personalized offerings, which is extremely beneficial, as according to McKinsey & Company, tailored product suggestions bring up to 300% revenue boosts and 150% higher conversion rates. Our generative AI app development company easily builds tools for driving personalization in your web or mobile applications.

Consider them when your AI models require processing of extremely large datasets beyond the capabilities of traditional infrastructure - like when dealing with petabytes of data, complex multi-modal datasets, or real-time streaming from thousands of sources. You should also consider it when your current infrastructure is making training a bottleneck (weeks rather than days), when you need to scale from thousands to millions of users, or when dealing with unstructured data like images, videos, and text that require distributed processing on multiple GPUs or cloud instances.

AI training companies ensure model reliability through extensive validation protocols: cross-validation testing, holdout datasets, and A/B testing that should be done before deployment. Tracking model accuracy, detecting data drift, and retraining models is done automatically through continuous monitoring systems. Such companies might suggest using ensemble techniques (combining several models), auto-testing your pipelines, and maintain detailed records of all the training data, model versions, and performance metrics.

Based on the data, there were 24 major cybersecurity incidents in June 2025 only: 11 ransomware attacks and 13 data breaches, including ransomware groups like RansomHub targeting government entities, Qilin hitting Lee Enterprises exposing 40,000 Social Security numbers, and data breaches affecting millions like Zoomcar (8.4 million users) and Episource (5.4 million patients). So check if your development team uses multi-layered encryptions and access controls, audits systems regularly, and conducts penetration testing. Also, ask if they perform network segmentation to isolate AI systems, continuous monitoring for anomalous behavior, regular backup and disaster recovery procedures.

To quantify AI ROI, set benchmark measures for key areas of performance like customer service, IT operations, and decision-making (Deloitte found each one of these activities brings 74%, 69%, and 66% return respectively), then track relevant KPIs such as sales conversion rates, customer churn prevention, and error rates before and after AI implementation. Calculate the total gains minus overall expenses (development, implementation, maintenance, and data collection) taking into account data quality and model updates to determine if the investment pays back solid long-term value.

Want to know more?
Check our blog

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Hotel chatbots & Conversational AI: A comprehensive guide

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Generative AI in travel: From trip planning to guest support

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AI and Machine Learning in travel: Frameworks, use cases, and tools

October 13, 2025

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Travel

AI agents and the future of online travel agencies

October 6, 2025

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Logistics

The ultimate guide to robotic process automation (RPA) in supply chain management

September 11, 2025

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Development

MLOps: methods and tools of DevOps for machine learning

September 8, 2025

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AI

What is generative engine optimization (GEO) and how to adapt to the new reality?

August 29, 2025

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AI

What is RAG (Retrieval-Augmented Generation)?

August 4, 2025

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eCommerce

Choosing the best AI product description generator for eСommerce

February 6, 2025

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AI

Specialized AI: How vertical AI makes a difference

January 27, 2025

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    Clarify your expectations, business objectives, and project requirements

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    After that, we can start our partnership

Drop us a line:

sales@coaxsoft.com

Main office

401 S Milwaukee Ave Wheeling, IL 60090, USA

+1 773-644-8871

Delivery center

72 Mazepy str., Ivano-Frankivsk 76018, Ukraine

099-746-6810