40+ speakers, 300+ experts, 12th edition (you in?) Join Jira Day by Deviniti

Get your tickets now ➡

Mistral AI integration and customization services

We deliver end-to-end integration of Mistral models into your systems. Our team builds Mistral-powered applications, including API integration, RAG pipelines, fine-tuning, and secure deployment.

mistral integration and customication services

We developed AI tool for contract risk and compliance analysis
We integrated a Large Language Model (Bielik) to provide accurate legal insights.
Our solution processes contracts extracts key details, and highlights risks.
Our AI chatbot answers legal questions using a fine-tuned knowledge base.
We built and deployed an AI Agent for Credit Agricole bank
We developed and deployed a fully operational AI Agent in Credit Agricole.
Our team ensures AI compliance with strict (financial) regulations.
The AI Agent automates simple inquiries and directs complex ones to the right teams.

End-to-end development

Our comprehensive Mistral AI integration and development services

Logo image

Mistral API Integration

We develop middleware to connect Mistral models with your infrastructure, ensuring secure, real-time data exchange. It lets you use Mistral’s capabilities in text generation, vision analysis, and code generation to enhance your applications.
Logo image

Domain-specific AI Agents

We create AI agents tailored for industries such as finance, healthcare, and legal sectors using Mistral’s large language models. These agents handle multi-turn dialogues, process complex queries, and deliver contextual responses optimized for specific industry needs.
Logo image

Multimodal Mistral applications

We develop AI solutions that combine Mistral’s (Pixtral model) text and vision capabilities. These applications process images and text to generate context-aware responses, assisting in tasks like automated document review and data extraction.
Logo image

Mistral optimization & fine-tuning

We fine-tune Mistral models using techniques such as Low-Rank Adaptation (LoRA) and Quantized LoRA (QLoRA) with proprietary datasets. Our optimizations include quantization for deployments in constrained environments (under 16GB VRAM).
Logo image

Data pipeline engineering

We build data pipelines that prepare and feed data into Mistral models. Our process includes data cleaning, transformation, and integration from multiple sources, ensuring high-quality inputs that optimize model performance.
Logo image

Mistral deployment

We build scalable architectures that comply with regulations such as GDPR and HIPAA, ensuring data security and accessibility. We provide secure on-premise deployments with air-gapped infrastructure for industries that require strict data control.

Our Generative AI development expertise


330
IT experts on board
11
awards and recognitions
for our GenAI solutions
236
clients served in custom development

We provide complete support for Mistral AI integration and deployment

What we cover in Mistral integration and customization services


  • Case study image

    1. Discovery & Architecture design

    We assess your infrastructure, security needs, and technical requirements to design the optimal Llama deployment strategy.

    This includes:

    • Evaluating GPU compatibility (NVIDIA support, CUDA versions) and token throughput for large-context models.
    • Conducting a data security assessment to ensure GDPR/HIPAA compliance.
    • Creating a solution blueprint, including hybrid cloud/on-prem model serving and customization roadmaps.
  • Gen AI PoC development

    2. Proof-of-Concept development

    We deliver a functional prototype to test Mistral’s capabilities in real-world conditions.

    This includes:

    • Implementing a RAG-powered knowledge retrieval systems.
    • Developing an executable demo/PoC with performance benchmarking.
    • Comparing model outputs against industry standards to optimize for accuracy and efficiency.
  • Self-hosted LLM development - Custom LLM selection & fine-tuning

    3. Data pipeline engineering

    We build high-performance data pipelines to prepare and feed structured data into Mistral models.

    This includes:

    • Chunking strategies to enhance retrieval efficiency.
    • Automated PII redaction for compliance with data security policies.
    • Multi-format data ingestion, supporting PDFs, databases, and APIs for comprehensive knowledge integration.
  • Self-hosted LLM development - Training and optimizing

    4. Model optimization phase

    We fine-tune and optimize Mistral models for performance, cost efficiency, and deployment feasibility.

    This includes:

    • Quantization techniques (e.g., FP8 precision) to reduce VRAM usage for deployments under 16GB.
    • Speed optimization using tools compatible with Mistral.
    • Accuracy improvements through RAG enhancement and advanced reasoning techniques.
  • Self-hosted LLM development - Security & compliance

    5. Security hardening

    We implement advanced security measures to ensure the integrity and compliance of Mistral deployments.

    This includes:

    • Model weight encryption (AES-256) and runtime integrity checks to prevent unauthorized access.
    • Role-Based Access Control (RBAC) integration with Azure AD for enterprise authentication.
    • Audit logging and compliance tracking for SOC 2 security standards.
  • Self-hosted LLM development - API & interface development

    6. Deployment & Scaling

    We deploy Mistral in on-premise, cloud, or hybrid environments with auto-scaling capabilities.

    This includes:

    • Containerized deployment via Docker and Kubernetes, supporting high-availability scaling.
    • Optimized inference infrastructure (e.g. by leveraging NVIDIA Triton Inference Server for real-time processing).
    • Cloud cost optimization, using spot instances for fine-tuning and serverless model serving.
  • AI and LLM Agent development - Security, compliance & guardrails

    7. Continuous improvement

    We provide ongoing monitoring, updates, and performance tuning to keep Mistral running at peak efficiency.

    This includes:

    • Real-time hallucination detection using entropy-based thresholding.
    • Model drift alerts and usage analytics dashboards to track AI performance.
    • Regular updates (e.g. including adapter swapping for new capabilities and security patches).

Practical applications in fintech, finance, and consulting

Some of the top Mistral use cases

Logo image

Customer Service automation

Real-time query resolution via chatbots integrated into helpdesk systems for efficient support.
Logo image

Enterprise knowledge management

Internal tools for document summarization and policy search using embeddings for quick retrieval.
Logo image

Finance recommendations

Real-time insights for sales agents to recommend tailored financial products and services.
Logo image

Fraud detection support

Monitoring transactions for irregularities with AI alerts to enhance security measures.

They trusted our expertise


cresit agricole logo
Dekra
Carefleet

Tools and technologies

Our AI tech stack for Mistral integration


Mistral core models

Mistral Large Pixtral Large Ministral 3B / 8B Codestral (code generation) Mistral Embed (semantic search)

NLP Tools

spaCy NLTK Gensim Transformers (Hugging Face) FastText

Frameworks

Hugging Face PyTorch TensorRT-LLM

Deployment

AWS Azure Google Cloud Kubernetes Docker

Security

Azure AD HashiCorp Vault AWS KMS

We build effective AI apps

Mistral stack integration and orchestration

Icon image

Llama stack integration

We integrate Mistral into your infrastructure with prebuilt connectors for PyTorch, TensorRT-LLM, and NVIDIA Triton to ensure efficient deployment and compatibility with your existing AI stack.

Icon image

Observability suite

We provide real-time monitoring tools to detect model drift, hallucinations, and performance issues. Our observability solutions help maintain AI reliability and optimize ongoing performance for Mistral models.

Icon image

Multi-LLM orchestration

We can implement fallback mechanisms that combine Mistral with Claude, GPT-4, and other LLMs for enhanced accuracy and resilience. This ensures uninterrupted responses and improved AI decision-making.

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.

Katarzyna Tomczyk – Czykier
Director of the Innovation and Digitization Division – Retail Banking

Why choose us

Llama integration company

Icon image

Advanced integration architecture

Our Mistral AI integrations are built with robust middleware, API optimization, and advanced techniques like embedding-based semantic search and multi-turn dialogue management.
Icon image

Industry standards compliance

We maintain the highest levels of security and data protection, holding ISO 27001 certification. Our solutions are fully compliant with industry standards (e.g. GDPR, CCPA).
Icon image

Deep domain knowledge

We have extensive experience in banking and finance. We can navigate the complexities of compliance and security in regulated industries.

Get in touch

Let’s talk


Book 1-on-1 consultation 

Consultant image

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.