Custom AI and LLM Agent development for domain-specific tasks
We develop AI agents that handle specialized tasks in your industry. We train and deploy models to build secure, self-hosted AI/LLM Agents.
Our Generative AI development expertise
Process overview
How we build custom AI Agents
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1. AI Agent consultation & discovery
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2. Use case definition & architecture design
We define the specific use cases the AI Agent will handle and design the system architecture.
This stage focuses on:
- Finalizing use cases based on business impact and complexity
- Prioritizing tasks and defining success metrics
- Designing a scalable and adaptable architecture for future growth
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3. Data collection & preparation
We gather and prepare the relevant data to ensure the AI agent performs effectively in your specific domain.
This process covers:
- Collecting structured and unstructured data from internal and external sources
- Cleaning, anonymizing, and ensuring the privacy of sensitive data
- Preprocessing the data to align with model training needs
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4. Model selection & fine-tuning
We carefully choose the best model based on your industry and fine-tune it using your proprietary data. For highly specialized tasks, we can train SLMs (Small Language Models).
Our approach includes:- Choosing the optimal LLM or SLM model based on your specific needs
- Fine-tuning the model with domain-specific data to ensure maximum accuracy
- Optimizing the model for real-time, task-specific performance
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5. AI Agent development & testing
We develop the AI Agent’s interface and backend components to ensure interaction with your internal systems. We test its performance through iterative trials.
The development phase involves:
- Building both the backend systems and user-facing components (e.g., chat interfaces)
- Integrating the AI agent with your existing software infrastructure
- Testing the agent’s functionality and accuracy in a controlled environment
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6. Security, compliance & guardrails
We implement security measures to ensure data protection throughout the AI agent’s lifecycle. We also embed compliance with regulations like GDPR and HIPAA, ensuring the AI Agent behaves ethically and within legal frameworks.
This step covers:
- Encrypting sensitive data and securing API interactions
- Ensuring compliance with industry regulations like GDPR and HIPAA
- Installing moderation filters and setting ethical guardrails to prevent biased or harmful behavior
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7. AI Agent deployment & optimization
We deploy AI Agent in a self-hosted environment, ensuring full control over your data and infrastructure. Then, we monitor its performance, making improvements as needed.
The deployment phase includes:
- Rolling out the AI Agent in a pilot environment for initial feedback
- Deploying fully across all your business units
- Monitoring in real time and optimizing the model to adapt to business changes
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8. Post-deployment support
We provide ongoing support and maintenance to ensure your AI agent evolves with your business and continues to perform at its best.
Post-deployment support includes:- Monitoring system uptime and fixing bugs as they arise
- Offering regular updates to add new features or improve performance
- Retraining the model as your business needs change or new data becomes available
They trusted our AI expertise
We build effective LLM agents
Key components of our AI Agents
Our featured AI Agents projects
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AI Agent
AI-powered assistant for customer service interactions
CLIENT: CREDIT AGRICOLE
- Message understanding: The system extracts key information from incoming messages and generates a summary containing the purpose and emotional tone. It helps eliminate human errors and ensures clear and uniform language
- Intelligent routing: Simple requests are handled automatically for faster resolution, freeing up agents for more complex and personal interactions. More complicated messages are passed to the right teams.
- Generating resources: The system creates customized draft replies and snippets. It can format them into PDFs for sending. It helps improve customer satisfaction scores, and meet service-level agreements.
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AI assistant
Intelligent sales assistant for credit card recommendations
CLIENT: BANK • UAE
- Meeting preparation assistance: The assistant helps sales representatives prepare for customer meetings. It provides detailed reminders about product terms and benefits for accurate and personalized recommendations.
- Real-time data analysis: The assistant analyzes input from the salesperson in real-time and compares it against the conditions of over 20 different credit card products. Then, it issues accurate recommendations that meet both client expectations and bank requirements.
- Integration with up-to-date product data: Direct integration with the bank’s product database ensures recommendations are based on the latest offer conditions.
We build safe, compliant, and ethical AI systems
Security & ethics in AI
LLM Guardrails
We establish guidelines to ensure the responsible use of LLMs, minimizing risks associated with AI deployment.
Acceptable AI use policies
Our team helps develop and implement policies that govern the use of AI within your organization, ensuring ethical practices.
Ethical AI practices
We adhere to principles of fairness, transparency, and accountability, ensuring that our AI solutions are not only effective but also ethical.
Testimonial
What our clients say
By automating certain customer interactions, bank employees are provided with a prepared “semi-product”, which enables them to dedicate more time to personalizing and empathizing with customer communication, and thus taking even better care of their needs.
Why choose us
Generative AI development company
Advanced LLM architecture
Industry standards compliance
Domain expertise
Get in touch
Let’s talk
Book 1-on-1 consultation
Grzegorz Motriuk
Head of Sales | Application Development
Our consultant is at your disposal from 9 AM to 5 PM CET working days from Monday to Friday for any additional questions.