AI 1st + Engineers Philosophy
Our AI-First approach, driven by customer centricity, disrupts the outdated traditional software house model. We reject the limitations of fixed teams, instead precisely assembling project-specific teams that prioritize the collaboration of AI + engineers.
We are AI house.
Arkadiusz (Arek) Skuza
Hi, my name is Arek Skuza. I am the CEO and founder of Volta Venture. We are not a software house.
We are the AI house.
I think that the software house model is obsolete, outdated, and inefficient in Artificial Intelligence is everywhere reality.
Traditional software houses try to sell their talent pool so that they can listen to customers only to some extent. Eventually, they need to squeeze their talent into the project or convince the customer to change their vision.
My philosophy is different. Headcount doesn’t matter. Customer matters and AI matters.
First and foremost, I want to solve my customers’ challenges and do it with an AI-first approach. This is why for each project, we hire AI first and then we build an AI + engineers team. We take AI tools and source the right people, not the other way around .
How does it work in detail? Read below.
In this initial phase, we engage in a detailed conversation with you to fully grasp your project’s unique requirements. We need 2 hours. We automatically see if AI will find it’s place here. This step is crucial for setting a clear direction and ensuring that we are aligned with your vision and objectives. By understanding your problem statement, we can tailor our approach to meet your specific needs.
Once we have a deep understanding of your project, we proceed to assemble an AI tools + team. This step is about finding the perfect blend of AI and expertise to match your project’s scope. We will explain how extremely fast we can move because AI and people are the DNA of the project.
After selecting the team, we introduce engineers and AI to you. This step is not just about transparency; it’s about giving you the power to make informed decisions. Don’t worry. We won’t sell payrolled people, so we are cool if you say “No”. You get to see who will be working on your project and what AI will handle the process.
We get this phase 100% with AI in it. After checking with the customer challenge, we hired AI to automate the process. Bringing together the tandem of AI + people, we are fast, time-to-solution efficient, and ready to build product / project within a matter of weeks, not months.
This step involves fine-tuning the team’s dynamics and workflow to ensure optimal performance. Based on feedback from the initial phase and ongoing communication with you, we make necessary adjustments. This calibration is vital for maintaining a high level of efficiency and ensuring that the team is fully aligned with your project’s goals.
How our solutions helped clients achieve their goals
AI Automation in Data Collection: Transforming Efficiency and Scalability for a Global Manufacturer
This case study explores how a garage door manufacturer, a leading brand in the opening systems industry, overcame significant data management challenges by implementing an AI-powered solution. The organization offers comprehensive assistance and advice for equipping homes and businesses with opening systems and reaches investors through an extensive network
Improving cooperation between business departments and the IT department in Maspex Group’s transformation projects through automation and data analysis
Introduction: This case study will present the results of a project aimed at defining standards for conducting transformation projects and designing IT ecosystems in the Maspex Group. Maspex Group is a company operating in the food industry, specializing in the production and distribution of a wide range of drinks
Driving AI-Powered Product Development: A Case Study in Skills Analysis
In the dynamic landscape of modern business, organizations are increasingly turning to artificial intelligence (AI) to optimize processes, enhance customer experiences, and foster innovation. This case study explores a company’s journey toward leveraging AI to revolutionize its operations.
Visual Search Implementation: A Case Study on User-Centric Innovation
In the digital age, businesses are perpetually on the quest to intertwine technology and user experience seamlessly.This case study unfolds the journey of a prominent e-commerce platform through a two-year project, aiming to implement a Machine Learning (ML) powered Visual Search feature, exploring the delicate balance between technological innovation