Enterprise AI development services
unlocking Enterprise value with AI
Scalable Customer Personalization
AI empowers enterprises to deliver personalized experiences at scale, driving retention and lifetime customer value.
Faster Innovation and GTM Speed
Generative AI speeds up R&D and go-to-market by enabling faster prototyping, testing, and execution across large enterprise teams.
Cost-Efficient Management
AI streamlines training, documentation, and internal ops, reducing costs and improving efficiency across enterprise departments.
Smarter Decision-Making and Insights
AI delivers real-time insights and forecasts, helping enterprises reduce risk, optimize planning, and make faster, smarter decisions.
Generative AI Technology Stack for enterprises
Why choose Ardas
Enterprise Transparency
We provide full visibility into AI initiatives through structured reporting, regular checkpoints, and direct access to your delivery team
AI & SaaS Expertise
With $75M+ in SaaS valuation and 70+ AI-driven solutions shipped, we build scalable products that solve real enterprise problems
Accurate Estimation
The team that scopes your AI project will deliver it. Our deep involvement ensures estimates hit with over 90% accuracy
Process Maturity
We’ve spent 20+ years refining SDLC and MLOps workflows, tailored for complex, long-term enterprise engagements
Predictable Budget
No surprises. We plan all AI-related initiatives in measurable increments and track delivery with transparent and predictable cost control
Scalable Delivery
We cut noise and focus on what drives business impact, delivering AI faster, cleaner, and ready to scale with your enterprise
AI Software 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.
Positioning
Flinqer brings together buyers and suppliers to optimize the use of available cash and ensure cash flows where and when it is needed most.
Tech solution & Platforms
We put all our experience in the SaaS business into this tool and helped our customers with MVP planning to keep it as cheap as possible and at the same time implement the most attractive features.
Positioning
Trusted by over 7,000 businesses since 2000. Processing over 170,000 loads per month. Handling and managing more than 50,000 available vehicles of its clients. Making over £190M worth of contracts per year.
Tech solution & Platforms
We brought all experts into the development process covering all aspects and levels of this SaaS platform such as CI/CD, automated testing, Scrum, etc. That was a big push and a turning point in the life cycle of this system.
Positioning
The complete system for an FX broker that handles all financial relations between a broker and its IBs organized in a multilevel hierarchy. Over 10 years on the market, presented in 12 countries, supporting over 15 languages, using more than 200 trade instruments of different kinds
Tech solution & Platforms
We were given the old system with many separate solutions with no integration and a lot of managing people supporting it.
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 safe and reliable AI development services and support processes for enterprise owners.
Work for Hire
You own 100% of the AI solution, full IP rights, no strings attached
ISO 9001 Certified
Proven quality management systems ensure consistent delivery at scale
ISO 27001 Certified
Enterprise-grade security practices protect your data and infrastructure
NDA and DPA Agreement
We safeguard your sensitive business and customer data with strict legal frameworks
Fully Insured Business
Your investment is protected. Our business liability insurance covers unforeseen risks
Recognitions
and Partnerships
FAQ
How long does it take to develop a generative AI solution?
It depends on complexity and scope. Proof-of-concept projects can take a few weeks, while full-scale enterprise AI platforms (with custom models and data pipelines) may require several months.
How do you implement AI in enterprise businesses?
We start with a thorough assessment of your data infrastructure and AI readiness, then architect scalable AI models tailored to your workflows. Our approach includes seamless integration with existing platforms, optimizing data pipelines, and deploying automated workflows to drive measurable business outcomes.
How critical is enterprise data readiness when applying AI?
Data quality directly impacts model performance. Enterprises must invest in data governance, clean labeling, and scalable pipelines before AI deployment. AI in digital transformation only works when data infrastructure is audit-ready, traceable, and aligned with evolving business needs.
How much does developing a generative AI solution cost?
MVPs and PoCs typically start at $20K. Custom enterprise AI solutions, aligned with your initial infrastructure, goals, and compliance—begin at $60K+.
Can generative AI models be customized to suit specific business needs?
Yes. We design and deploy custom AI systems that match your business logic, KPIs, and tech stack, including cloud, CMS, and EDW environments.
What is Ardas Generative AI integration process?
We assess enterprise AI readiness, prep your data, train or fine-tune models, and integrate them with your platforms using APIs and cloud infrastructure—followed by testing, deployment, and performance monitoring.
Tell Us About Your Project
Use the power of artificial intelligence to automate internal processes, enhance customer engagement, and gain valuable insights from your data
