Self-hosted LLM development and deployment
We bring custom Large Language Models (LLMs) to your secure environment, giving you full control over your data and infrastructure.
Our Generative AI development expertise
We develop and deploy LLMs in your private infrastructure
What we cover in self-hosted LLM development services
-
1. Local LLM consultation & planning
-
2. Local infrastructure & hardware setup for LLMs
We assist in setting up the necessary infrastructure, ensuring your LLM deployment is robust and secure.
At this stage, we help with:
- Hardware procurement, consulting on GPUs/TPU, memory and storage based on model needs
- On-premises deployment of local servers and networking equipment
- Cloud infrastructure configuration if needed (AWS, GCP, Azure) for flexible deployments
-
3. Custom LLM selection & fine-tuning
We help you select the most suitable LLM and adapt it for your specific use cases.
This process covers:
- Recommending the right model architecture (GPT, BERT, LLaMA) for your business needs
- Fine-tuning models using domain-specific data
- Optimizing model performance through hyperparameter tuning
-
4. Data preparation & management for self-hosted LLMs
We ensure that your LLM is trained with high-quality data and that your data is managed securely.
Our approach includes:- Gathering and preparing datasets, including data annotation and cleaning
- Formatting and encoding data to fit the model’s training requirements
- Setting up secure data storage solutions with encryption and access controls
-
5. Training and optimizing self-hosted LLMs
We manage the full lifecycle of training, optimizing, and deploying your LLM for real-time inference.
It covers:
- Setting up efficient training pipelines, including distributed training environments
- Applying optimization techniques like model compression, quantization, and knowledge distillation
- Implementing inference strategies to reduce latency and increase response times
-
6. Security & compliance for local LLM deployments
We handle the deployment of your LLM in a secure, self-hosted environment while ensuring compliance with industry regulations.
This step covers:
- Dockerizing the model for flexible deployment and managing container registries
- Implementing Kubernetes for scalable deployments and secure networking protocols.
- Conducting security audits and ensuring compliance with GDPR, HIPAA, or other applicable regulations
-
7. Monitoring & maintenance for self-hosted LLMs
We provide ongoing support and maintenance to ensure your LLM evolves with your business and continues to perform at its best.
Post-deployment support includes:- Real-time performance monitoring to track usage and resource utilization
- Routine updates, bug fixes, and model retraining to keep your LLM optimized and relevant
- Setting up alert systems to quickly address critical issues
-
8. API & interface development for local LLMs
Item subtitle
We develop APIs and user interfaces that allow interaction with your self-hosted LLM.
This includes:
- Building RESTful APIs or gRPC services for easy integration into your existing systems
- Designing intuitive web interfaces for real-time interaction and management
- Providing thorough API documentation and SDKs for developers
They trusted our expertise
We build effective LLMs
Key components of our self-hosted LLMs
Our featured Generative AI projects
-
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.
-
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 clear guidelines for the responsible use of LLMs. These guardrails minimize risks associated with their deployment, ensuring that AI behaves safely and within defined boundaries.
Acceptable AI use policies
Our team works with you to develop and implement AI use policies tailored to your organization. These policies govern how AI is used, ensuring that it aligns with ethical practices and your business goals.
Ethical AI practices
We follow key principles of fairness, transparency, and accountability, ensuring that all AI systems we deploy not only meet your technical needs but also adhere to ethical standards.
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
Self-hosted LLM 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.