Generative AI development background

Generative AI Development Services

Outperform your competition with quick AI adoption
Develop custom software and AI solutions faster, more affordably, and with better chances of success than your competitors with us as your generative AI development partner.
Leverage available AI tools
Get real traction
Launch an AI pilot
Gradually expand

DELIVERING VALUE

Use cases we help with
Work with our team to implement AI-driven transformations. From enhancing customer experiences to optimizing enterprise processes, we specialize in integrating generative AI technology to bring value to businesses across different industries.

Improve customer experience

Better understand consumers’ preferences and deliver personalized, content-led experiences that drive conversions, enhancing the efficiency of every customer touchpoint.
Facilitate personalization
Provide self-service tools
Resolve issues quicker
Anticipate customer needs
Streamline purchasing

Optimize business processes

Leverage generative AI capabilities for enhanced data analysis, process building, and automation. Unlock new opportunities, innovate faster, and stay ahead of the competition.
Reveal trends
Predict outcomes
Identify root causes
Automate manual tasks
Assess process and team performance
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Curious about how AI can benefit your business?
If you're interested in integrating AI but haven't yet pinpointed a specific use case, we're here to enable you to clarify it. Get in touch and let's schedule a free consultation.

OUR APPROACH

How we go about integrating AI
We maximize the value of AI implementation by speeding up time to market and reducing initial costs, to enable faster project completion. As the initial deployment proves effective, we persistently refine the generative AI models, ensuring long-term business impact.
1

Begin with an AI foundation model

Whether OpenAI's GPT-4 or Google's Gemini, we select a model that fits your requirements. Most such tools use a usage-based pricing model, so the initial costs are typically minimal.
2

Integrate the model into your business context

We identify relevant data sources within your organization and integrate them into the AI model to guarantee it can generate accurate output relevant to your business objectives.
3

Train generative AI using your company's data

We train the model with your organization’s data. Our training process refines the generative artificial intelligence model into a custom-crafted generative AI solution tailored to your business case.
4

Deploy a pilot project

A solution finely tuned to align with your business objectives is launched to production. We oversee the entire process, including integration, testing, and deployment. Additionally, we provide a broad spectrum of generative AI solutions, ensuring frictionless integration and ongoing support for your systems.
5

Evaluate business value

It may take some time before you start seeing the tangible impact on your business from the AI pilot. Your KPIs should not be set around the model itself, but on the business metrics – the end objectives of the project.
6

Maintain and fine-tune generative AI

After establishing a proof of concept, we enhance your solution with granular data and refine the model by integrating multiple data sources, such as front-end and back-end systems and third-party services.

REQUIRED EXPERTISE

LLM and AI models we use
We use successful artificial intelligence models created by industry leaders such as Microsoft, OpenAI, and Meta, as well as cutting-edge LLMs from forward-thinking startups like Cohere, Anthropic, and AI21, which have gained significant traction in the field.
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THOUGHTFUL SOLUTION ARCHITECTURE

Design your AI tech stack in a modular way
Achieving frictionless integration of generative AI into existing infrastructure requires a modular, loosely connected tech architecture. We establish standardized communication between systems through APIs to move data frictionlessly, update models easily, and add new capabilities with minimal associated costs.
AI improves through feedback from connected systems
Faster time to market for AI capability upgrades
Easy integration of AI capabilities
A possibility to add several AI engines in the future
Ready to build a future-proof AI architecture? Let's connect. →
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PROVEN TRACK RECORD

Recent case study
Over the past decade, we have developed custom solutions for numerous organizations worldwide and across Europe and launched several forward-thinking digital products. Here is one of our recent projects:

RevFlow AI: Multi-Agent Revenue Operations Platform for B2B Sales Teams

AblyCode designed a multi-agent revenue operations platform that helps B2B sales teams qualify leads faster, prepare account context instantly, automate follow-ups, and surface pipeline risk before it hurts forecast accuracy.
RevFlow AI Screenshot 1RevFlow AI Screenshot 2RevFlow AI Screenshot 3
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Most developers are excited about the building of a rocket. We're focused on its launch
The success of your generative AI solution relies not only on your team's technical expertise but also on their ability to bring it to deployment. That's what sets us apart.
Frequently asked questions
What kind of AI projects can your team handle?
Our expert team excels in various generative AI projects, leveraging existing Large Language Models (LLM) and foundational AI models. We specialize in various AI solutions encompassing text, image, and audio processing. Let's discuss how our AI software development services can enable you to build intelligent AI solutions.
How much does it cost to develop a generative AI solution?
The cost of your project depends on its scope, complexity, and specific requirements. Our methodology where we build an AI pilot by integrating available AI models can significantly reduce your expenses. To provide you with an accurate estimate, we would need to discuss your requirements in detail. Connect with us to get a quote.
How much time does it take to build an AI pilot?
The time required to build an AI pilot can vary depending on factors such as the complexity of the project, the availability of data, the level of customization needed.
Generally, building an AI pilot can take anywhere from a few weeks to several months, and even a year. Simple projects with readily available structured data and existing models may be completed relatively quickly, while more complex projects requiring data collection, algorithm tuning, and testing may take longer. If you're looking for generative AI development services, connect with us and we will provide you with a detailed project plan and estimated timeframe.
Do you offer post-deployment support?
Yes, we provide post-launch support, model fine-tuning and maintenance to guarantee your AI solution can deliver the business value you're looking for.