Our AI Services
Embrace new avenues for growth and facilitate long-term digital transformation with Avenga’s AI services. Leveraging our vast technological expertise, you can develop, sustain, and expand your Artificial Intelligence (AI) solutions, amplifying human capabilities and enhancing business value.
How we work
At Avenga, we integrate the highest service delivery standards in the industry with unparalleled practices for tailoring solutions to meet your specific needs.
Step 1
Write to us or book a meeting
We will respond within one working day and arrange a meeting with you at your earliest convenience.
Step 2
Meet with our representative
An expert matching your market niche and industry will get in touch to discuss your requests and determine the next steps.
Step 3
Receive an offer
You will get a service suite offering, including time and cost estimates, for each of your project’s stages.
Step 3
Sign the contract
We start delivering the results while keeping you updated on the progress.
Proven competency
Our certified AI experts are well-versed in the latest technologies, including standard Machine Learning algorithms and deep learning architectures.
Wide-ranging expertise
The members of Avenga’s AI software development team have lots of practical experience and business understanding of industries such as tech insurance, pharma, finance, and real estate, just to name a few.
Tech agnosticism
We are not biased towards any particular technology or framework; our engineers have a profound knowledge of Python, R, PyTorch, Keras, Tensorflow, FastAI, etc.
Cross-technology applications
We are not just an AI consultancy company. Avenga provides full-cycle software development services in other technologies and we build innovative cross-technology solutions.
Data centricity
We help organizations design and build cloud solutions that enable proper data governance. These can become the foundation for a company’s AI platforms.
Result-orientedness
We don’t just focus on modeling. Avenga’s AI services cover everything from setting up the proper infrastructure for data collection/flow/transformation to selecting/augmenting/optimizing features to establishing experimentation frameworks to engineering, deploying, and maintaining your AI algorithms.