Addepto
Addepto delivers custom AI and data solutions — from LLM-based systems to enterprise generative AI platforms — for manufacturing and retail enterprises.
About
Addepto builds production-grade AI and data solutions for enterprises, with a particular focus on manufacturing, retail, and connected-vehicle sectors. Their work spans the full AI lifecycle: data engineering, machine learning model development, generative AI platforms, LLM-based applications, and MLOps. They position themselves as a bridge between early AI experimentation and reliable production deployment.
Founded in 2017 and headquartered in Warsaw, Poland, Addepto operates with a team of 50–249 specialists. Acquired by KMS Technology, they have expanded their global reach while maintaining a European delivery base. Their proprietary Enterprise Generative AI Platform and AI-Powered Knowledge Base product — branded as ContextClue — demonstrate their capacity to build and ship AI-native tooling alongside client work.
Addepto has been recognized by Forbes, Deloitte, and the Financial Times for their work in AI and data-driven enterprise solutions.
What They Do
Enterprise Generative AI
Builds enterprise generative AI platforms tailored to client knowledge workflows
Develops LLM-based solutions including Retrieval-Augmented Generation (RAG) and intelligent agentic pipelines
Delivers ContextClue, an AI-powered knowledge base assistant for document research, report generation, and code migration
AI Document & Data Processing
AI document processing pipelines for automated extraction and classification
Big data engineering and data platform architecture, including connected-vehicle data platforms
Machine Learning & MLOps
Custom ML model development and predictive modeling
Production-readiness upgrades via MLOps — moving AI from prototype to stable deployment
Computer vision applications including automated image quality detection for retail
AI Consulting & Discovery
AI consulting and AI Discovery Workshops to identify and prioritize use cases
End-to-end guidance from consultation through implementation
Cloud & Infrastructure
AWS migration and cloud data infrastructure projects
Services & Tech Stack
Services
- RAG Pipeline Development
- Custom LLM Fine Tuning
- Document Processing Automation
- AI Proof of Concept
- AI Use Case Identification
Tech Stack
Is This a Fit?
Enterprise teams in manufacturing, retail, or logistics that need to move AI initiatives from experimentation into reliable production systems.
Early-stage startups without an existing data foundation, or teams seeking consumer app development or creative digital marketing work.
Ideal Client
Head of Data Science, CTO, or Operations Director at a mid-market or enterprise company with active AI initiatives that need productionizing.
Track Record
50–249 specialists with over 100 production-grade AI projects delivered since 2017, spanning generative AI, computer vision, and MLOps engagements. Recognized by Forbes, Deloitte, and the Financial Times.
Common Outcomes
- AI models moved from prototype to stable production deployment via MLOps
- Automated image quality detection replacing manual retail review processes
- Enterprise knowledge bases powered by agentic RAG pipelines
- Scalable AI data platforms built for connected-vehicle telemetry
Notable Clients
Use Cases
Case Studies
Automated Image Quality Detection Engine for Retail
RetailBuilt a computer vision system to automate image quality detection for a retail client, replacing manual review workflows.
Intelligent Agentic RAG for Enterprise Knowledge Bases
EnterpriseDeveloped a modular agentic RAG architecture to power AI-driven knowledge management for enterprise clients.
Upgrading AI to Production-Ready Stage with MLOps
EnterpriseGuided a client through the transition from experimental AI models to stable, production-ready deployment using MLOps practices.
AI-Powered Data Platform for Connected Vehicles
AutomotiveDesigned and delivered a scalable AI data platform to process and analyze connected-vehicle telemetry data.
Incremental AWS Migration Drives Cost Efficiency
EnterpriseLed an incremental AWS cloud migration for an enterprise client, reducing infrastructure costs and improving scalability.
At a Glance
Location
Warsaw, Poland
Founded
2017
Team Size
51 – 200Typical Budget
$10,000–$199,999
Timeline
14–26 weeks
Delivery
RemoteHybridEngagement
Project BasedRetainerPricing
$50 - $99Client Tier
Mid MarketEnterpriseRegions Served
Northern AmericaWestern EuropeEastern EuropeLanguages
EnglishPolishCertifications
AWS PartnerClutch Top AI Consultant
Focus Areas
Specialties
Verticals
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| Signal | |||
|---|---|---|---|
| Category | AI Consulting Strategy | AI Consulting Strategy | AI Consulting Strategy |
| Location | Warsaw, Poland | London, United Kingdom | Berlin, Germany |
| Team Size | Not listed | Not listed | Not listed |
| Client Tier | Mid Market | Enterprise | Enterprise |
| Delivery Model | Remote | Hybrid | Hybrid |
| Typical Budget | $10,000 – $199,999 | $250,000+ | Not listed |
| Services | RAG Pipeline DevelopmentCustom LLM Fine TuningDocument Processing Automation+2 | AI Use Case IdentificationAI Operating Model DesignAI Proof of Concept+2 | AI Use Case IdentificationAI Operating Model DesignAutonomous AI Agents+2 |
| Tech Stack | AWS BedrockLangChainLlamaIndex | Not listed | Not listed |