AI/ML & generative AI

We’ll help you turn smart ideas into smarter products. Whether it’s automating workflows or building next-gen products with generative tech, we’ve got you covered.
we are ready to develop

Our services

We offer AI/ML and generative AI development services to help businesses move faster, work smarter, and deliver more value.

Custom AI
copilot

  • Tailored AI assistants for specific business operations (e.g., finance, legal, HR)
  • Integration with internal tools (Slack, Microsoft 365, CRMs)
  • Context-aware, role-specific assistants

RAG
systems

  • Building LLM apps that combine real-time data search with AI response
  • Often used in customer support, internal knowledge bases, and legal tech

Private LLM
deployment

  • On-premise or private cloud deployment of open-source models (e.g., LLaMA, Mistral, DeepSeek)
  • Security- and compliance-focused use cases (e.g., in healthcare, finance, or legal)

Finetuning
& customization

  • Fine-tuning open-source models on proprietary data
  • LoRA, QLoRA, and full finetuning of LLMs
  • Domain-specific model training and quantization (e.g., legal, finance, medical)

AI integration for
legacy systems

  • Connecting LLMs to ERP/CRM/accounting systems (e.g., SAP, Dynamics GP, Salesforce)
  • Creating natural language interfaces for complex backend systems

AI chatbots
& virtual agents

  • Advanced AI-powered customer service bots
  • Multilingual support, emotion detection, dynamic memory
  • Used in retail, banking, and healthcare

Voice AI & speech-
to-text solutions

  • AI transcribers and voice assistants for customer support or medical dictation
  • Custom Whisper-based or Speech-to-Text integrations

Computer Vision

  • Solutions for real-time detection and segmentation for images and video
  • Optimization for edge devices and IoT
  • Generative models for image content creation and integration with AI agents

Your roadmap to AI

Our AI consulting process

At Mitrix, we start by understanding your business challenges and identifying where AI can bring the most value. Through deep-dive consultations and data assessment, we uncover a new opportunities.
Discovery
Discovery & goal mapping
We analyze your business goals, workflows, and tech infrastructure to understand where AI delivers the most impact.
Model selection
Feasibility & model selection
Next, we evaluate the use case, run a feasibility check, and identify the best-fit AI models or tools.
Strategy
Strategy & roadmap
We craft a clear AI integration strategy and step-by-step roadmap, aligned with your priorities, timelines, and resources.
POC & MVP
PoC & MVP
To keep things lean and smart, we build a Proof of Concept or MVP first.
Development
Development
Once validated, we scale your AI solution, fine-tune it for performance and accuracy, and make sure it fits into your operations.
1 /
Discovery
2 /
Model selection
3 /
Strategy
4 /
POC & MVP
5 /
Development
How we turn AI into impact

Case studies

Social service
Slide Min 1
Real estate
Slide Min 2
Customer service
Slide Min 3
Slide 1

Social selling

In 2024, social selling emerged as the latest trend in lead generation. However, many businesses find it challenging to effectively engage potential customers across multiple platforms, resulting in missed opportunities. That is why our team developed Leadguru, an application designed to monitor professional online communities, identify relevant discussions, and provide a streamlined way to contact prospects.

In Leadguru, an AI agent monitors platforms like Slack and Discord to detect and evaluate message relevance. For instance, if you need insights about a specific health tech company, the AI agent quickly identifies and retrieves relevant information, saving you time and keeping you well-informed.

Slide 2

Real estate

In the real estate industry, we introduced an AI agent to analyze complex PDF documents, such as tenders, to extract and optimize relevant information efficiently. Using natural language processing (NLP) and machine learning algorithms, the agent identifies critical details, such as project requirements, deadlines, financial terms, and legal clauses.

Overall, our AI agent saves time, reduces human error, and enables our teams to focus on strategic decision-making. Besides, it can organize the extracted data into actionable insights, ensuring stakeholders can quickly access the information they need for competitive bidding and streamlined project management.

Slide 3

Customer service

An AI agent can revamp the way businesses and individuals gather information about companies, making the process faster, more accurate, and more comprehensive. Here’s how an AI agent enhances the search for company-related insights on our website.

Mitrix GPT is here 24/7 to deliver smart, instant answers about:

  • Our company and contact details
  • Portfolio projects and blog articles
  • Services, industries we work in, our development approach, and team expertise
  • Career opportunities and project consultations with ballpark estimates based on your idea and our experience

The AI agent quickly scans our website to compile detailed profiles, including a company’s history, expertise, and industry focus. It identifies and extracts case studies highlighting the company’s proven track record, providing examples of successful projects tailored to specific industries or needs. Plus, the AI agent extracts details about key team members, including their roles, expertise, and professional backgrounds, to understand the human capital behind the business.

Technologies we use

Technologies we use

Ai Service

Open-source LLMs

  • Tailored AI assistants for specific business operations (e.g., finance, legal, HR)
  • Integration with internal tools (Slack, Microsoft 365, CRMs)
  • Context-aware, role-specific assistants
  • Safer training environment;
Ai Service

Commercial LLMs

  • OpenAI model family incl. hosted on Microsoft Azure AI
  • Anthropic Claude
  • Google Gemini
  • Amazon Titan
  • Cohere
Ai Service

Programming languages

  • Python (our go-to for AI/ML magic)
  • JavaScript / TypeScript
  • Java
  • C++ (for performance-critical modules)
  • Go (for scalable backend systems)
  • Rust (when safety and speed shake hands)
Ai Service

Databases

  • PostgreSQL
  • MongoDB
  • Qdrant / pgVector / Pinecone (vector databases for LLMs & RAG)
  • Elasticsearch (for search and RAG indexing)
  • Redis (for lightning-fast memory storage)
  • Neo4j (graph-based AI applications)
Ai Service

Frameworks & toolkits

AI/ML frameworks:

  • PyTorch
  • TensorFlow
  • HuggingFace Transformers
  • HuggingFace Diffusers
  • LangChain
  • Fast Agent

LLMOps:

  • LlamaIndex
  • vLLM
  • Ray / Ray Serve
  • Weights & Biases

Speech & vision:

  • Whisper
  • ElevenLabs
  • DeepSpeech
  • OpenCV
  • YOLO
  • Mediapipe

Deployment & MLOps:

  • Docker
  • Kubernetes
  • NVIDIA Triton
  • AWS SageMaker
  • GCP Vertex AI
  • Azure AI
  • Hugging Face Hub
  • BentoML
  • MLflow
key facts

Why Mitrix?

Technology should be more than just code - it is a catalyst for growth, innovation, and success. Today, businesses need strategic tech partners who can help them innovate, scale, and deliver with confidence. That’s where Mitrix comes in.

20+
long-term
client
30+
successfully delivered
projects
2.6 y
avrg. collaboration period with
our clients
10+
years of average
developers' experience
More ways we can help

Check out our
other services

Explore our other services that support your business growth, from custom web development to advanced automation solutions. Each service meets your specific business needs and moves your product forward at every project development step.

Let’s discuss your AI project

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    Main questions and answers

    AI/LLM development FAQ

    What types of AI solutions do you develop?

    We specialize in custom AI Copilots, LLM-powered chatbots, RAG (Retrieval-Augmented Generation) systems, private LLM deployments, finetuning models on your data, integrating AI with legacy systems, voice AI, computer vision, and more.

    Can you build a solution tailored to my specific business needs?

    Yes, we can. We create domain-specific AI tools that align with your workflows, data, and compliance requirements.

    What technologies do you use?

    We work with top-tier tools and frameworks like LangChain, MCP, OpenAI API, HuggingFace and integrate with platforms like GCP, AWS, Microsoft 365, Slack, SAP, Salesforce, and more.

    Do you support on-premise or private cloud deployments?

    We can deploy open-source LLMs (e.g., LLaMA, DeepSeek, Mistral) in secure, private environments if you require strict data control and compliance.

    Can you fine-tune models using our proprietary data?

    Definitely. We offer full and parameter-efficient finetuning (like LoRA/QLoRA), enabling models to understand your domain and speak your business language.

    How do you ensure data security and compliance?

    We follow best practices in encryption, access control, and infrastructure security. We also tailor our approach based on your industry’s compliance standards (HIPAA, GDPR, etc.).

    Do you provide ongoing support and maintenance?

    From monitoring performance to rolling out new features, we offer post-launch support to keep your AI solution running smoothly and evolving with your business.

    Can you help us integrate AI with our existing systems?

    Absolutely. We specialize in connecting LLMs with ERP, CRM, and legacy systems to unlock insights and functionality through natural language interfaces.

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