Addepto Sp. z o. o. Unclaimed
Warsaw, Poland
AI and data solutions company delivering consulting, engineering, and analytics for enterprises.
Addepto is a global AI and data solutions company delivering consulting, engineering, and analytics services. The organization helps enterprises transform data into actionable insights by applying AI, data engineering, governance, and advanced analytics across industries. It focuses on practical, scalable outcomes through tailored technology and data-driven approaches.
To help organizations unlock value from data and AI by delivering practical, scalable solutions across industries through consulting, engineering, and analytics.
What we offer
AI Consulting
Transform data into actionable insights with expert AI consulting.
addepto.com/ai-consulting/Business Intelligence Services
Transform your business into a data-driven organization for enhanced insights and decision making.
addepto.com/business-intelligence-services/Data Engineering Services
Transform raw data into actionable insights to drive business growth with our data engineering services.
addepto.com/data-engineering-services/Generative AI Development Company
Accelerate innovation with tailored generative AI applications.
addepto.com/services/generative-ai-development-company/AI-Native Product Engineering Services
Create AI-powered products from concept to deployment with tailored engineering services.
addepto.com/ai-native-product-engineering-services/Data Governance & Observability Service
Enhance data reliability and governance with rich insights and real-time oversight.
addepto.com/data-governance-observability-service/MLOps Consulting
Transform AI capabilities with reliable, scalable MLOps consulting for effective machine learning lifecycle management.
addepto.com/mlops-consulting/Market segments
Market size by segment
Growth potential (CAGR)
AI Strategy and Product Engineering
Consulting and engineering services that identify high-impact AI use cases, define adoption roadmaps, and build scalable, production-ready AI and generative AI products.
Model operations (MLOps)
Capabilities that manage the end-to-end ML lifecycle including experiment tracking, CI/CD integration, model versioning, deployment readiness, and workflow automation to operationalize models.
Data engineering and lakehouse platforms
Construction of data platforms including data lakes, lakehouse/delta table architectures, streaming applications, and data warehouses to enable analytics and ML.
Data governance and observability
Policy-driven access control, audit trails, real-time monitoring, and AI model usage tracking that ensure compliant, auditable analytics and data lineage for regulated environments.
Engineering knowledge graphs and knowledge management
Knowledge graph and engineering data integration capabilities that connect CAD, ERP, and documentation to surface relationships, reduce rework, and speed project decisions.
More information about our offering
ContextClue
ContextClue turns scattered CAD files, ERP data, and documentation into knowledge graphs that understand engineering relationships. Get answers fast, cut rework, and keep projects on track.
- Integrate Diverse Data SourcesCentralizes data for quick access, enhancing collaboration among engineering teams.
- Access Information QuicklyRetrieves data in real time, reducing downtime and improving project timelines.
- Minimize MistakesLeads to cost savings and efficiency improvements.
- Ensure Project TimelinessFacilitates better planning and execution of projects.
AI Consulting
AI engineering and strategic consulting services to identify high-impact opportunities and build scalable solutions.
- Unlock High-Impact OpportunitiesAssesses current operations to uncover hidden opportunities for AI value.
- Develop Scalable AI SolutionsCreates tailored AI solutions that evolve alongside your company.
- Support End-to-End AI ImplementationPartners with you to achieve desired AI outcomes.
- Create a Comprehensive AI StrategyGuides formulation of a strategy for informed AI decisions.
Business Intelligence Services
Business intelligence services enable data-driven decision making and insights sharing, transforming companies into modern, data-centric organizations.
- Analyze Data InstantlyQuickly adapts strategies based on changing conditions.
- Visualize Your DataImproves clarity and facilitates insights in your operations.
- Integrate Diverse Data SourcesEnsures comprehensive analyses for business needs.
- Customize Your ReportsGenerates reports aligned with strategic goals.
Data Engineering Services
Providing complete assistance to our clients with data engineering services, from raw data to actionable information using Data Lakes, Delta Tables, Streaming applications, Data Warehouses, and DataOps.
- Build Custom Data InfrastructureEmpowers clients to manage and leverage their data.
- Implement Data Lakes and WarehousesStores vast datasets for advanced analytics.
- Support Real-time Data ProcessingDerives insights from flowing data.
- Manage Delta TablesEnables scalable metadata handling.
- Efficient Data OperationsEnhances data quality and accessibility.
Generative AI Development Company
Generative AI development services to build and deploy AI-powered applications tailored to meet unique business needs.
- Customize SolutionsEnsures alignment with business objectives.
- Leverage Proven StrategiesAllows for the most effective generative AI solutions.
- Oversee Full Project LifecycleEnsures seamless integration into current processes.
- Incorporate Advanced TechnologiesEnables innovation and competitive advantage.
AI-Native Product Engineering Services
AI-native product engineering services to craft AI-powered products. Building on KMS Technology, we leverage proven product engineering expertise and AI-enhanced practices.
- Ensure Intelligent DesignImproves user experience and operational efficiencies.
- Cover Entire Product LifecycleEnsures effective testing and deployment.
- Leverage Advanced TechnologiesMeets specific business needs.
- Ensure Reliable PerformanceGuarantees reliability and scalability.
Data Governance & Observability Service
Ensure every AI decision is built on verifiable data. This service uncovers hidden risks and strengthens governance.
- Facilitate Immediate Risk ResponseAddresses potential data quality issues rapidly.
- Ensure Data TraceabilityEnsures transparency and accountability in governance.
- Ensure Regulatory AdherenceHelps maintain compliance with relevant laws.
- Strengthen Data SecurityCreates strategies to safeguard sensitive data.
- Facilitate Growth and AdaptationSupports evolving business requirements.
MLOps Consulting
Delivers scalable ML pipelines powered by enterprise-grade MLOps, covering everything from data engineering to deployment.
- Build Efficient ML PipelinesEnables smooth scaling of machine learning processes.
- Enable Continuous Model MonitoringEnsures models operate smoothly and detect anomalies.
- Strengthen Data GovernanceProtects data quality and minimizes risks.
- Customize MLOps to Your NeedsEnsures smooth transitions as your organization scales.
References
Methodology and sourcing behind the figures shown above.
AI Strategy and Product Engineering
Synthesis of sector-specific estimates: AI engineering/AI solutions reports show market values from $2.7B (2024) to $10.6B (2024) and generative-AI-in-product-design at $5.69B (2025). Given overlap between AI engineering, generative-AI product design, and product engineering services, a consolidated services market for AI strategy and product engineering is estimated at about $12B. Growth potential reflects high enterprise AI investment and platformization: specialist AI-engineering and generative-AI services report CAGRs ~20–24%, while the broader AI market grows faster (~29%). A blended CAGR of ~21% reflects services-heavy adoption and continued scaling from pilot to production.
- The Global Artificial Intelligence (AI) Engineering Market was valued at USD 10.6 billion in 2024
- The global generative AI in product design & engineering market size was valued at USD 5.69 billion in 2025
- The artificial intelligence market, valued at USD 601.93 billion in 2026
- The AI Solutions in Engineering market was valued at 2.7 billion in 2024
Model operations (MLOps)
Multiple syndicated reports place the 2024–2026 MLOps market between roughly USD 1.8–4.5 billion (2024–2026) with high multi‑decade growth forecasts. I used the 2025 valuation reported by Fortune Business Insights (USD 2.98B) as the baseline market size and an average of reported CAGRs (range ~37.0%–45.8%) to estimate a representative growth potential of ~41.2% CAGR.
- The global MLOps market size was valued at USD 2.98 billion in 2025; CAGR of 45.8%.
- Valued at USD 4.51 billion in 2026; projected to reach USD 73.71 billion by 2035 at a CAGR of 41.8%.
- 2024 Market Size $3.13 Billion; CAGR (2025 - 2035) 39.8%.
- Global MLOps market size USD 2.43 billion in 2025; CAGR 37.00% (2026 - 2035).
Data engineering and lakehouse platforms
Estimated by combining explicit figures from the provided search results: MarketDataForecast’s global big data and data engineering services market (USD 75.55B, 2024, CAGR 17.6%) and Fortune Business Insights’ data lake market (USD 11.07B, 2025, CAGR 25.3%). Total market size = sum of the two segments (75.55 + 11.07 = 86.62). Growth potential is a weighted average CAGR based on segment sizes: ~18.6%.
Data governance and observability
Estimated 2025 combined market equals data governance market (~USD 5.38B per Fortune) plus data observability (~USD 2.90B per SNSInsider) → ~USD 8.28B. Growth potential computed as a size-weighted average of reported CAGRs (governance ~20.5% from Fortune; observability ~11.6% from SNSInsider), yielding ~17.4% CAGR. Faster subsegment growth (deep observability: $0.88B → $2.71B, ~32.5% CAGR) supports above-average growth potential.
- Global data governance market size was valued at USD 5.38 billion in 2025.
- Data Observability Market valued at USD 2.90 billion in 2025.
- Deep Observability market from $880 million in 2025 to $2.71 billion in 2029, growing at over 32.5% CAGR.
- Data Governance Market estimated at 3.1 USD Billion in 2024; CAGR 15.02% (2025–2035).
Engineering knowledge graphs and knowledge management
Estimated by applying a plausible engineering/PLM share of the broader knowledge-graph market to published market sizes. Major reports place the global knowledge-graph market at about $1.48B (2025)–$1.5B (2025) with multi-year CAGRs reported between ~19% and ~37%. Engineering knowledge graphs (connecting CAD, ERP, documentation for PLM and manufacturing) are a specialized enterprise vertical; assuming a 10–12% share yields ~USD 0.15–0.18B current market size. Growth potential for this vertical is similar to enterprise KG adoption but somewhat conservative versus the highest forecasts, estimated here at ~22% CAGR given strong enterprise AI/GraphRAG and PLM modernization tailwinds.
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