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Nexocode

AI Consulting Strategy

Nexocode delivers custom AI and machine learning products for logistics, healthcare, fintech, and travel companies.

About

Nexocode is an AI development studio based in Kraków, Poland, that designs and builds custom machine learning products for companies across logistics, healthcare, fintech, travel, and legal sectors. Founded in 2017, their team of 10–49 engineers and data scientists combines computer vision, natural language processing, data engineering, and MLOps to take clients from first concept through to production deployment.

What sets Nexocode apart is a structured engagement model: a two-day AI Design Sprint to identify high-impact opportunities, a Proof-of-AI MVP delivered in 4–12 weeks, and full production deployment over 3–9 months. They operate as a Teal organization — self-organized cross-functional teams work directly with clients rather than through traditional management layers. Trusted clients include Google, Nokia, and Justpoint, with projects ranging from $90,000 to over $1.5 million.

What They Do

AI Design Sprint

  • Two-day workshop where Nexocode facilitators work alongside client teams to identify high-impact AI use cases and prototype solution concepts

  • Low-investment entry point designed to surface opportunities before committing to full development

Proof-of-AI MVP Development

  • Rapid AI model prototyping — model selection, training, and evaluation — delivered in 4–12 weeks

  • Includes data quality audits and collection strategy before model work begins

Custom AI Engineering

  • Computer vision systems for image and video recognition (applied in automotive, healthcare, and logistics contexts)

  • Natural language processing for document extraction, conversational interfaces, and OCR-based automation

  • Recommendation engines and dynamic pricing models for e-commerce and travel

  • LLM and generative AI integration, including conversational CRM interfaces

Data Engineering & MLOps

  • Cloud-native data lake architecture and ETL pipeline construction

  • MLOps implementation: CI/CD pipelines, model monitoring, and multi-cloud GPU infrastructure scaling

  • Predictive analytics and BI integrations

AI Consulting

  • Machine learning consulting to move clients beyond proof-of-concept

  • Data Strategy Bootcamp for organisations building foundational data infrastructure

Services & Tech Stack

Services

  • AI Proof of Concept
  • Custom AI App Building
  • ML Pipeline Development
  • RAG Pipeline Development
  • AI Use Case Identification

Tech Stack

  • LangChain
  • OpenAI API

Is This a Fit?

Best For

Mid-market and enterprise companies in logistics, healthcare, fintech, or travel that need a structured path from AI concept validation to production deployment, particularly those with fragmented data infrastructure or no prior AI product experience.

Not a Fit For

Companies seeking off-the-shelf SaaS AI tool configuration, small teams with sub-$25,000 budgets, or organisations without any existing data foundation to build on.

Ideal Client

CTO, Head of Product, or Digital Transformation Lead at a mid-market or enterprise company looking to move from AI experimentation to a production-ready system with measurable business outcomes.

Track Record

Founded in 2017; team of 10–49 engineers and data scientists; projects ranging from $90,000 to over $1.5 million; clients include Google and Nokia; active open-source contributors and speakers at major AI and tech events.

Common Outcomes

  • Reduced application processing time from over 60 minutes to under 45 minutes per application for a global technology client
  • Unified 3M+ records across 1,000+ tables into a cloud-native data lake, eliminating manual reporting
  • Hundreds of business travelers using AI-powered booking and recommendation platform daily
  • 10x increase in weekly application throughput following automated onboarding platform deployment

Notable Clients

GoogleNokiaJustpointBoussias GroupTime4TravelKatana StudiosLeavetown.com

Use Cases

Workflow process automationAI product recommendationAutomated document processing

Case Studies

AI-Powered CRM for Group Travel Reservations

Travel

Challenge

Complex group travel management required intelligent assistance, automated data entry, and conversational interfaces to handle reservation workflows at scale.

Solution

Nexocode built an AI-driven CRM integrating LLMs and generative AI to automate workflows, provide smart recommendations, and deliver a conversational booking interface.

Boussias Group: Turning Disconnected Data into a Scalable Data Intelligence Hub

Media & Publishing

Challenge

Manual reporting across 3M+ records from fragmented sources across 1,000+ tables was inefficient and error-prone.

Solution

Built a cloud-native data lake with automated ETL pipelines to unify data sources and enable real-time analytics.

Real-Time 3D Automotive Configurator with Multi-Cloud GPU Rendering at Scale

Automotive

Challenge

Katana Studios needed a resilient, cloud-native rendering platform capable of real-time 3D product visualization for automotive marketing at scale.

Solution

Nexocode designed and deployed a multi-cloud GPU rendering infrastructure with an elastic UI to power real-time automotive configurator experiences.

At a Glance

  • Location

    Kraków, Poland

  • Founded

    2017

  • Team Size

    11 – 50
  • Typical Budget

    $25,000–$999,999

  • Timeline

    4–12 weeks for Proof-of-AI MVP; 3–9 months for full production deployment

  • Delivery

    RemoteHybrid
  • Engagement

    Project BasedRetainer
  • Pricing

    $50 - $99
  • Client Tier

    Mid MarketEnterprise
  • Regions Served

    Northern AmericaNorthern EuropeWestern Europe
  • Languages

    EnglishPolish

Focus Areas

Industries

Logistics & Supply ChainHealthcareLegalFinancial Services

Specialties

AI Design SprintsComputer VisionNLPMLOpsGenerative AILLM IntegrationRecommendation SystemsDynamic Pricing

Verticals

Predictive MaintenanceDemand ForecastingClinical Decision SupportFraud Detection

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NexocodeListed on AI Development Companies 2026

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Signal
CategoryAI Consulting StrategyAI Consulting StrategyAI Consulting Strategy
LocationKraków, PolandLondon, United KingdomBerlin, Germany
Team SizeNot listedNot listedNot listed
Client TierMid MarketEnterpriseEnterprise
Delivery ModelRemoteHybridHybrid
Typical Budget$25,000 – $999,999$250,000+Not listed
Services
AI Proof of ConceptCustom AI App BuildingML Pipeline Development+2
AI Use Case IdentificationAI Operating Model DesignAI Proof of Concept+2
AI Use Case IdentificationAI Operating Model DesignAutonomous AI Agents+2
Tech Stack
LangChainOpenAI API
Not listedNot listed