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Use generative AI to boost the capabilities of your commercial software & create new solutions that will change the old ways of doing things.
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We built an AI-powered platform that allows our client’s employees to widen their knowledge and skills with personalized courses.See the study
We created an AI and RPA-based PoC able to predict how much customers are most likely to pay for the order. The PoC reached the expected accuracy in 3 months.See the study
We build a set of models proving that AI can provide accurate hotel recommendations for business travelers, reducing the time needed to choose the right hotel.See the study
We built an AI-powered platform that allows our client’s employees to widen their knowledge and skills with personalized courses.
We created an AI and RPA-based PoC able to predict how much customers are most likely to pay for the order. The PoC reached the expected accuracy in 3 months.
We build a set of models proving that AI can provide accurate hotel recommendations for business travelers, reducing the time needed to choose the right hotel.
Full support from Day 1 to make sure your generative AI project succeeds.
We’ll answer all your questions and address all your doubts about generative AI development.
Not sure if your generative AI project idea is realistic? Worry not, we’ll help you find that out!
We’ll fine-tune models for domain-specific use cases and tasks to ensure your project’s success.
From validating ideas to launching your software, you can always rely on our expert team.
Generative AI projects are ever-growing & transforming, and we’re ready to help you with that.
Want to integrate generative AI into existing tools or products? You got it!
The cost of developing generative-AI-powered software depends on many various factors, including team composition, data quality, project scope, cost of infrastructure, integration, and maintenance. It’s challenging to estimate the cost without knowing the details of your project. Simple proof-of-concept projects cost $20-50K, while a full implementation can cost anywhere from $50K to even over $500K. Accurately estimating the cost requires evaluating needs, requirements, and possibilities to assess complexity and workload of your project.
Assessing the time needed to develop a generative-AI-powered software requires considering various aspects of the project — such as the project’s complexity, required team size, resources and expertise, to name a few. Simple projects can last weeks to months, while more complex ones can take years of research and development.
It’s easy! Fill out our contact form, and we’ll invite you for a non-binding call to discuss your generative AI project idea. During the call, we’ll talk about the feasibility of using generative AI models for the certain use case, discuss the potential risks of such a project, and walk you through the potential next steps that will take place if you’ll decide to work with us.
In short, generative AI creates new content, while analytical AI analyzes existing data for insights and predictions. Even though these are two different types of AI systems, they have much in common (e.g., both require an R&D approach) — so experience in analytical AI projects has great value for developing generative AI projects.
It’s worth noting that, as generative AI is new to everyone, no tech agency has a wide portfolio of generative AI projects yet. That’s why experience in other AI-based projects is vital here. Proficiency in high-risk and R&D projects and focusing on quick validation of business hypotheses (you don’t want to waste years on testing something that could be validated within weeks or months) is what you’re looking for. And that’s why you’re in the right place! Building AI projects for years, we worked out an approach that allows us to test your business hypotheses as fast as possible so you get the best chances for your projects’ success.
Read also: How to Start With Artificial Intelligence: Your First Steps With AI
There’s no doubt generative AI unlocks many exciting opportunities. But let’s not forget it also comes with quite a few risks and challenges! That’s why, when thinking of building generative-AI-powered software, it’s crucial to consider those hurdles and be ready to address them.
What kind of risks and challenges do we mean? E.g., data security, the matter of IP rights, biases, errors, and limitations of the models, to name a few. You can read all about it in the article on our blog: 5 Challenges of Generative AI Adoption.
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