Gen AI development company with industry-specific GenAI portfolio

Autonomous Agents with LLMs

We leverage LLMs to develop AI agents capable of autonomously performing various tasks.

We build intelligent agents that integrate tools and decision-making capabilities for your specific workflows.

We achieve this by:

• Selection of the most suitable LLM architecture
• Fine-tuning the model to enhance its performance on your specific tasks

Multi-AI Agents systems

We can develop a multi-agent AI system that divides complex tasks among specialized agents.

Each agent can handle different types of subtasks such as research, data retrieval, or technical support.

This process involves:

• Designing algorithms, rules, and workflows for each AI Agents’ interactions
• Refining algorithms for optimal accuracy

Custom LLM training and deployment

We fine-tune LLMs on your specific domain data ensuring they perform optimally for your business needs.

For enterprises requiring full control over data and operations, we offer self-hosted LLM deployment.

Core elements include:

• Collecting, cleaning, and preprocessing relevant data for training
• Fine-tuning selected models on the prepared data and optimizing hyperparameters

Custom RAG (Retrieval-Augmented Generation) app development

Our RAG apps combine generative AI with real-time data retrieval.

We create chatbots that not only generate natural language responses but also fetch up-to-date information from knowledge bases, databases, or APIs.

This process involves:

• Using LLMs for generating responses and ranking retrieved information.
• Implementing iterative refinement mechanisms to improve response quality.

Proof of Concept (PoC)/Proof of Value (PoV) development

We emphasize Proof of Value (PoV) as the extended version of basic PoC. The PoV phase answers, “Will this solution benefit my business?” by showing how well the AI aligns with your specific operational needs.

It includes:

• Developing an interactive version of the GenAI system that covers one process to ensure its technical viability.
• Evaluating how well AI integrates into your business, including assessing process efficiency, user interaction, and communication style.

Generative AI MVP development

Once the PoC and/or PoV validate both feasibility and business value, we develop a Minimum Viable Product (MVP).

This version includes the core functionality of the AI system. It allows you to deploy it in real-world scenarios while gathering feedback for refinement.

This process involves:

• Building the most critical features needed to achieve your immediate business goals.
• Delivering an initial, functional version of the AI system with essential capabilities to test in your environment.

AI use case identification

We work with your team to identify practical and high-impact AI opportunities.

Through short, focused sprints, we analyze your current workflows to pinpoint areas where AI can add value.

Our process includes:

• Identifying bottlenecks and opportunities for automation where AI can make a difference.
• Testing how AI can solve specific problems in real-world scenarios.

AI strategy and roadmap

After identifying AI use cases, we help prioritize them based on their impact and ease of implementation.

We create a clear roadmap for your Generative AI project.

This process involves:

• Understanding technical constraints and business needs.
• Defining timelines and goals for AI integration.

Fast Generative AI prototyping

Our rapid prototyping sprints allow you to quickly develop and test AI models.

We focus on building functional prototypes in short cycles. It helps you validate AI ideas before full-scale development.

This includes:

• Building and testing prototypes in weeks, not months.
• Deploying prototypes in real, safe environments to gather insights.

Interactive and scalable prototypes

We build interactive prototypes that allow see how the GenAI works. We ensure that they can easily scale into full applications.

As a result, we can go from a small prototype to a production-ready AI app without starting over.

With this process, you will get:

• Hands-on, interactive prototypes to demonstrate functionality.
• Prototypes ready to grow into full applications.

GenAI R&D as a service

Our AI Innovation Lab is dedicated to driving research and development in AI technologies. 

This means that:

• We help identify Generative AI use cases that can deliver business value.
• We recommend the most suitable AI technologies and guide your project from conceptualization to deployment.

Dedicated AI development teams

Our AI Innovation Lab team includes experts such as:

• AI Prompt Engineers
• AI Architects
• Machine Learning Engineers
• NLP Engineers
• Data Scientists
• AI/Python Developers