AI development for startups

Starting with a prototype and scaling to full deployment, we help startups unlock rapid growth through smart and scalable artificial intelligence solutions. Our full-cycle AI startup development services are built to move fast, stay lean, and deliver real-world impact. Validating an idea or scaling an AI-powered product? Let’s talk!
we are ready to develop

Our services

Our AI and ML engineers apply innovative techniques to every project we take on. Here’s what we offer for startups ready to build with AI.

Prototype development

Quick MVPs to validate demand and showcase AI capabilities.

Generative AI advisory

We guide companies exploring generative AI for creative applications by helping them harness models, tools, and workflows tailored to their goals.

Custom AI development

We design intelligent systems that interpret data, uncover insights, forecast outcomes, and streamline complex workflows.

Custom LLM & AI agents

Build fine-tuned models and assistants tailored to your domain.

RAG & knowledge agents

Unlock internal data with retrieval-augmented conversational AI.

End-to-end MLOps

From training pipelines to deployment, monitoring, and scaling.

Conversational AI agents

Chatbots, virtual assistants, and customer support agents.

Vision, speech & NLP

OCR, document parsing, summarization, sentiment analysis.

Solutions that think ahead

AI solutions we build

We design AI-driven systems that do more than just automate: they learn, adapt, and drive real results. Here’s a look at the intelligent solutions we deliver for startups across industries:
AI-powered MVPs
AI-powered MVPs
Get your idea off the ground fast with lightweight, functional prototypes built to validate real-world demand.
Custom AI agents
Custom AI agents
Build autonomous assistants for sales, support, operations, or analytics, tailored to your product and workflows.
Chatbots and virtual assistants
Chatbots and virtual assistants
Deliver smarter user interactions through conversational interfaces powered by LLMs and retrieval-augmented generation.
Intelligent recommender systems
Intelligent recommender systems
Personalize every touchpoint — product suggestions, content feeds, or upsell flows - based on user behavior and preferences.
Document and data intelligence
Document and data intelligence
Turn unstructured inputs like PDFs, emails, or reports into structured, searchable, and actionable insights.
Smart search and Q&A
Smart search and Q&A
Embed semantic search and contextual question answering into your app or platform using your data.
Predictive analytics dashboards
Predictive analytics dashboards
Equip teams with foresight through ML-powered insights on churn, LTV, sales, or operations.
Voice and vision interfaces
Voice and vision interfaces
Enable hands-free control, real-time transcription, or image-based data capture with speech and computer vision models.
Your roadmap to AI

Our AI development process

Our process is tailored to help startups move fast, balancing rapid innovation with reliability. From initial exploration to post-launch improvement, here’s how we bring AI ideas to life.
Discovery
Discovery and roadmapping
Workshops, use-case prioritization, and AI-governance alignment.
Prototyping
Prototyping and testing
Fast iteration with measurable metrics and stakeholder feedback.
Production
Production and MLOps
Secure, scalable deployment with continuous monitoring.
Improvement
Improvement & growth
Secure, scalable deployment with continuous monitoring.
Support
Support and maintenance
A/B testing, model retraining, and ROI optimization.
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Discovery
2 /
Prototyping
3 /
Production
4 /
Improvement
5 /
Support
AI-first, future-focused

Who we partner with

We partner with ambitious founders who see AI as a strategic advantage, not just a buzzword. Building new products, enhancing existing platforms, our goal is to turn ideas into intelligent features that scale with your users and business goals. Our partners include:
Early/medium-stage startups
Early/medium-stage startups
looking to embed AI into their product roadmap.
Tech-first builders
Tech-first builders
aiming to save engineering time via automation.
Platform innovators
Platform innovators
needing chatbots, recommendation engines, or agents.
Data-driven founders
Data-driven founders
aiming for intelligent and responsive user experiences.
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?

Startups choose us because we understand the urgency, constraints, and ambition that define early-stage ventures. Getting to market quickly or scaling without burning through budget — our team delivers tech that fits. Here’s why startup founders trust us:

Speed to market
We turn ideas into prototypes fast: no red tape, no guesswork, just results
Cost-efficient scalability
Leverage lightweight AI and open-source models to minimize costs.
Tech with impact
Align AI solutions with your core business KPIs from day one.
Security & compliance
Privacy-first implementation: GDPR, HIPAA, and SOC ready when needed.
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 development for startups FAQ

    What are the most impactful AI use cases for startups?

    Startups are leveraging artificial intelligence to automate business processes, enhance customer engagement with AI chatbots, streamline operations with predictive analytics, and personalize user experiences. AI can also support product development, market analysis, and data-driven decision-making, helping startups gain a competitive edge in their industry.

    How can AI help my startup scale faster and stand out in a competitive market?

    AI solutions for startups enable rapid scaling by automating repetitive tasks, optimizing resource allocation, and providing actionable insights from big data. This allows startups to focus on innovation, customer acquisition, and growth hacking strategies, making it easier to differentiate their products and services in crowded markets.

    Do I need a technical team or in-house data scientists to start an AI project?

    No. Mitrix provides end-to-end AI development services for startups, acting as your dedicated AI partner. We handle the technical complexities - from ideation and prototyping to deployment - so you can focus on your core business objectives without needing an in-house AI or data science team.

    How do I know if my startup is ready for AI development?

    If your startup is seeking ways to automate workflows, extract insights from data, or deliver innovative features to users, it’s the right time to explore AI solutions. We help validate your AI use cases and assess feasibility, even at the earliest stages, ensuring your investment aligns with your business goals.

    How long does it take to build an AI MVP for a startup?

    Most AI MVPs for startups can be developed in 3-6 weeks, depending on the complexity and data requirements. Our agile approach and use of proven frameworks allow us to deliver rapid prototypes, so you can test and iterate quickly.

    Can you integrate AI into our existing product or tech stack?

    Absolutely. We specialize in integrating custom AI solutions, such as APIs, embedded models, or AI-powered assistants, into your current products or platforms. Our team collaborates seamlessly with your developers to ensure smooth adoption and minimal disruption.

    What types of AI solutions do you build for startups?

    We develop a wide range of AI solutions tailored for startups, including generative AI copilots, chatbots, computer vision tools, recommendation engines, and retrieval-augmented generation (RAG) knowledge agents. Our focus is on scalable, practical AI that delivers measurable business value from day one.

    Is building AI expensive for early-stage startups?

    We prioritize cost-effective AI development for startups by leveraging open-source models, cloud-based infrastructure, and phased rollouts. Our solutions are designed to maximize your ROI and minimize upfront costs, making advanced AI accessible to startups of all sizes.

    How do you ensure data privacy, security, and compliance for startups?

    Data protection is a top priority. We implement industry best practices and build AI systems that comply with GDPR, HIPAA, SOC, and other relevant standards, ensuring your startup’s data and your users’ privacy are secure by design.

    What if my AI idea or use case is still evolving?

    That’s common for startups. We help you prioritize ideas, run small-scale experiments, and refine your AI strategy based on real-world feedback and results. Our iterative approach ensures your AI solution evolves alongside your business needs.

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