generative AI development services
Benefits of AI consulting Services
Strategic AI Readiness Assessment
Identify where Generative AI delivers value. We help evaluate use cases, data maturity, and integration feasibility across your systems.
Faster Product Development and Innovation
We guide your team through PoC design, model evaluation, and prototyping, accelerating innovation while reducing risk and tech debt.
Efficiency and Cost Planning
Consulting-led automation planning ensures scalable, cost-efficient AI adoption, from content to process optimization.
Smarter Decision-Making Frameworks
We help embed artificial intelligence into analytics to improve forecasting, reduce bias, and align outputs with your business KPIs.
Generative AI Technology Stack
Backend
Frontend
Mobile
Data Science & BI
Cloud & DevOps
Databases & Storage
AI & Machine Learning
Why choose ardas
Transparency
We maintain full transparency throughout entire AI consulting engagements and further development, with regular updates and open communication
AI & SaaS Expertise
With 3 in-house SaaS products valued at $75M+ and 70+ client solutions, we know how to build scalable, AI-driven products that succeed
Estimation Accuracy
The team assessing your AI project leads execution, ensuring estimates hit within 90% accuracy
Process Expertise
Having worked on projects of all sizes, we've spent 20 years refining our SDLC processes through hands-on experience
Budget Control
No unplanned expenditure. We report on the time spent and plan the development of all subsequent stages
Rapid Scaling
We streamline processes, removing non-value tasks to accelerate delivery and enable continuous AI improvements
AI Software consulting and Development Process
Team Engagement Models
Success stories
About the project
Stripo is an AI-powered, all-in-one email design platform that streamlines email creation and integrates seamlessly with 80+ ESPs/CRMs like Mailchimp, HubSpot, and Salesforce. Trusted by over 1.5M users worldwide, including Amazon, McDonald's, Oracle, CocaCola, Airbnb, Uber, HP, and Cisco, Stripo is the leading email template builder now.
Tech solution
With 1,600+ responsive templates, built-in microtools, and marketing automation features, like AI Assistant, real-time co-editing, and more it allows users to build complex emails quickly and send them with one click.
About the project
Flinqer is a dynamic discounting SaaS platform that connects buyers and suppliers to optimize cash flow, ensuring funds are available where and when they are needed most. The platform empowers businesses to manage working capital efficiently and make smarter financial decisions.
Tech solution
We applied our SaaS expertise to design and launch an MVP that balances cost-efficiency with high-value functionality. The platform offers real-time cash flow insights, automated discounting workflows, and seamless integration with existing financial systems, enabling buyers and suppliers to collaborate effectively and maximize liquidity.
About the project
A high-load courier SaaS platform that streamlines logistics operations for thousands of businesses worldwide. The platform manages hundreds of thousands of monthly loads, tracks tens of thousands of vehicles, and facilitates contracts worth over £190M annually.
Tech solution
Our team contributed full-stack expertise across all development stages, implementing CI/CD pipelines, automated testing, and Scrum practices. This comprehensive approach enhanced platform reliability, scalability, and performance, marking a pivotal evolution in its lifecycle.
About the project
INFINOX is a multi-level broker management portal that centralizes financial relationships between brokers and their IBs across a hierarchical structure. Operating in 12 countries for over 10 years, the platform supports 15+ languages and more than 200 trading instruments.
Tech solution
We modernized a fragmented legacy system by consolidating multiple standalone solutions into a unified, integrated platform. This overhaul reduced operational overhead, streamlined management processes, and improved overall system reliability and scalability.
Clients Say About Us
‘’Great job’’
We started in 2016 with an idea and built a very detailed MVP plan mostly thinking about how to compete in a very busy market. We investigated all disadvantages of existing builders and designed a WYSIWYG builder that saves 50% more time than others. Later in 2019 we supported AMP language by Google for dynamic emails and became one of a few builders with the best AMP support.
Project Dates 2017 - Present
Project Summary
This startup became №1 in the world used by Amazon, McDonald's, Oracle, CocaCola, Airbnb, Uber, HP, and Cisco.
Read Case
‘’Removed Problems From Us’’
Ardas was tasked with the re-development of our mature SaaS application. They initially helped us with our new hosting architecture before working with us to re-design and develop all elements of the application.
Project Dates 2007 - Present
Project Summary
Today we are proud to be a part of the highly technical and very successful SaaS solution. Building long-lasting relations is never easy, we have been accurate with all the details through the years.
Read Case
‘’Ardas is very flexible’’
I have been working with Andrew and Ardas's team as CTO of INFINOX Global as a principal financial services client. Ardas's passion really stands out. I frequently connect the team to discuss strategic decisions and plans for the future.
Project Dates 2014 - Present
Project Summary
After successfully transforming this solution into an automated system we entered long-term support and evolution cycle and still update and tune this system according to customer requirements.
Read CaseWhy working with us is safe?
We worked hard to create a safe and confident AI consulting services and support processes
Work for Hire
All IP rights for software belong 100% to you
ISO 9001 certified
Well-polished management and processes
ISO 27001 certified
We prioritize security at the highest standards to protect your data
NDA and DPA agreements
We take responsibility for nondisclosure of important business matters and privacy of your customers' data
Fully Insured
Even if something goes wrong from our side, you do not risk your money. Our company is insured to protect your invested money in project
Recognitions
and Partnerships
FAQ
How long does it take to develop a generative AI solution?
The development timeline for a generative AI solution varies based on project complexity, data availability, and team expertise. Simple PoC projects may take a few weeks, while complex enterprise ones might extend to several months or longer, involving data collection, model training, and iterative refinement.
How much does developing a generative AI solution cost?
AI development pricing varies depending on the project’s size, complexity, and the features needed. We offer customized quotes tailored to your specific goals and budget. Entry-level AI projects, like MVPs or proof of concepts, usually begin around $20,000. More sophisticated, fully customized AI solutions built to address unique business challenges typically start at $60,000.
How important is data readiness for AI success?
Data quality, completeness, and proper labeling are foundational. Poor data can lead to inaccurate models and unreliable results. Investing time upfront to clean, preprocess, and augment data will pay off in smoother AI development and better outcomes.
Can generative AI models be customized to suit specific business needs?
Yes, our team specializes in developing custom generative AI solutions tailored to meet the unique requirements and objectives of each client.
Should AI projects be handled in-house or outsourced?
This depends on your team’s expertise and resources. For enterprises lacking specialized skills, partnering with experienced AI consulting and development firms, like Ardas, can accelerate delivery and reduce risks. However, maintaining some in-house knowledge is beneficial for ongoing operations.
What is Ardas Generative AI integration process?
Generative AI integration involves analyzing requirements, preparing data, selecting or developing a model, training, and validating it. Then, the model is integrated into existing systems, ensuring compatibility and implementing necessary interfaces. Rigorous testing ensues, followed by deployment and monitoring. Maintenance involves regular updates, monitoring, and optimization for continued performance.
Tell Us About Your AI Project
Let's use the power of artificial intelligence to automate internal processes, enhance customer engagement, and gain valuable insights from your data
