Unlock new possibilities. Boost productivity. Amplify your impact.From machine learning, to computer vision, to natural language processing (NLP), to forecasting and optimization, our AI technologies support diverse environments and scale to meet changing business needs.

Numerous businesses are capitalizing on the sheer branding value of the AI label. Most software brands, apps, and platforms you use every day are heavily and successfully reliant on data: Amazon in eCommerce, Booking.com in travel, PayPal in finance, and so on. You can join that stellar list and reap the benefits of adding ML-driven to your landing page.

While building another Amazon is beyond the reach of most of us, any business can make use of the AI technologies the big players use and solve problems or elevate customer experience tenfold. Even without engineering experience, you’ll benefit from the training, mentoring, and expert consultation we provide enabling you to learn to use what in reality are not-so-complex AI systems, MLaaS platforms, or data management systems. Our task is to pick the solution that takes your resources into account and puts the most forward-leaning tech at your fingertips.

With many industries being stuck in the legacy stage, even the smallest AI efforts on your part will be rewarded with decreased risks and expenses and increased effectiveness and conversions. Just one automated daily task will start a chain reaction of successful innovation.

Developing AI solutions for your industry Codeboard


Customer segmentation and personalization
Dynamic pricing solutions
Sentiment analysis
Demand forecasting
Intelligent travel assistants


Optimized routing and scheduling
Smart fleet and staff management
Vehicle maintenance prediction
Traffic prediction and real-time updates
Supply chain automation



Financial analytics
Credit scoring
Fraud detection
Smart advisors and personalized wealth management
AI insurance


Diagnostics automation (images, sounds, signals)
Personalized healthcare
Identifying at-risk patients
AI-driven pharmaceutical research
ML for clinical data analysis



Sales forecasting
Personalized shopping and recommendations
Fraud detection
Customer support automation and chatbots
Voice assistance


Supply chain planning
Inventory management
Price optimization
Market basket analysis
Lifetime value prediction