Addepto
Warsaw-based AI boutique with deep expertise in ML for finance, energy, and retail.
Founded 2016 | Warsaw, Poland | 50–200 employees | Last updated: July 2026
custom-mlml-consultingdeep-learninggenerative-aipredictive-analyticsdata-engineering
What is Addepto?
Addepto is a Poland-based AI consulting and development firm focused on end-to-end machine learning solutions for mid-market and enterprise clients. The company specializes in building data pipelines, custom ML models, and decision-support tools with particular depth in financial services, energy, and retail — industries where regulatory awareness and data governance are non-negotiable. Addepto covers the full stack from data engineering through model development, deployment, and integration.
Addepto was founded in 2016 and is headquartered in Warsaw, Poland. The firm employs 50–200 people and works primarily with clients in fintech, energy, retail, manufacturing, logistics sectors. Its primary differentiator is: End-to-end AI/ML delivery with particular sector depth in financial services and energy — industries that require compliance sophistication alongside technical capability.
Addepto tech stack and services
PythonTensorFlowPyTorchScikit-LearnOpenAIHugging FaceAWSAzureGCPApache SparkAirflow
| Service area | Details |
|---|---|
| Credit risk scoring and fraud detection model development for fintech platforms | Available for fintech, energy, retail, manufacturing, logistics clients |
| Energy demand forecasting and grid optimization using time-series ML models | Available for fintech, energy, retail, manufacturing, logistics clients |
| Retail recommendation engine and dynamic pricing model development | Available for fintech, energy, retail, manufacturing, logistics clients |
| Custom LLM integration for regulated-industry document processing | Available for fintech, energy, retail, manufacturing, logistics clients |
| Decision-support ML tools for operations teams in manufacturing or logistics | Available for fintech, energy, retail, manufacturing, logistics clients |
Addepto use cases
Short answer: Addepto is best suited for mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness.
| Use case | Industries | Approach |
|---|---|---|
| Credit risk scoring and fraud detection model development for fintech platforms | fintech, energy | Python, TensorFlow |
| Energy demand forecasting and grid optimization using time-series ML models | fintech, energy | Python, TensorFlow |
| Retail recommendation engine and dynamic pricing model development | fintech, energy | Python, TensorFlow |
| Custom LLM integration for regulated-industry document processing | fintech, energy | Python, TensorFlow |
| Decision-support ML tools for operations teams in manufacturing or logistics | fintech, energy | Python, TensorFlow |
Addepto pricing
Short answer: Addepto uses a fixed project, t&m, dedicated team pricing approach. Minimum engagement starts at $20K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $20K | Well-defined scope |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Addepto does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Addepto pros and cons
| Advantages | Things to consider |
|---|---|
| +Genuine depth in finance and energy ML — not a generalist firm claiming vertical expertise | -Smaller team than enterprise-tier firms; large-scale concurrent programmes may strain capacity |
| +Covers the full stack from data pipeline architecture through model deployment | -Less US-based client management than North American competitors |
| +Generative AI capability alongside classical ML for hybrid solution architectures | -Limited public case studies compared to larger firms with dedicated marketing teams |
| +Warsaw delivery hub provides competitive rates with EU-based data handling | |
| +Accessible minimum engagement for early-stage ML projects or POCs |
Addepto vs alternatives
How Addepto compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Teams needing a dedicated ML specialist boutique with... | ML-only focus with a dedicated specialist team backed by 25 years of Anadea software delivery infrastructure — unusually deep for a firm of this size | 4.8 | Full comparison |
| LeewayHertz | Enterprises seeking end-to-end AI/ML product delivery with a... | Product-centric AI delivery culture with verified Fortune 500 client references including ESPN, Siemens, and 3M — now operating within The Hackett Group | 4.6 | Full comparison |
| InData Labs | Mid-market organizations with specific, complex ML problems requiring... | Pure-play ML boutique with a measurably higher specialist-to-generalist ratio than typical service firms, confirmed by Clutch as a top AI service provider | 4.5 | Full comparison |
| HatchWorks AI | Companies seeking AI-native teams that embed generative AI... | Clutch #1 AI Services Company with a proprietary Generative Driven Development methodology claimed to reduce delivery time by 30–50% (per company website; independently unverifiable) | 4.4 | Full comparison |
| STX Next | Organizations that need ML models operationalized inside complete... | Europe's largest Python-specialist firm uniquely positioned to embed ML into production software without the integration friction that plagues pure-play ML boutiques | 4.3 | Full comparison |
| Tredence | Enterprise teams that need last-mile ML adoption —... | Industry-specific AI accelerators and a proven focus on last-mile ML adoption, closing the execution gap between data science output and real business value | 4.3 | Full comparison |
| DataForest | Data-first companies needing robust data engineering infrastructure as... | Data engineering-first approach builds pipeline and data quality foundations before model development, addressing the root cause of most ML project failures | 4.2 | Full comparison |
| Forte Group | Organizations needing the engineering discipline of a larger... | Structured AI service lines with Tier 1 delivery rigor and specialist consultancy agility — serving organizations that need both without enterprise-tier pricing | 4.1 | Full comparison |
| Binariks | Healthcare, fintech, and insurance organizations needing ML built... | Compliance-first ML engineering for regulated industries — governance and audit trails are built in from the architecture stage, not retrofitted after launch | 4.1 | Full comparison |
| Softeq | Hardware manufacturers and industrial companies needing ML integrated... | Unique capability to combine hardware design expertise with ML engineering, deploying models at the edge where cloud-only ML firms cannot operate | 4.1 | Full comparison |
| Markovate | Retail, travel, and fitness platforms needing ML-powered recommendation... | 300+ delivered projects spanning recommendation systems, computer vision, and dynamic pricing, with deeper consumer-facing ML specialization than most comparably sized firms | 4.0 | Full comparison |
| ScienceSoft | Established enterprises needing ML consulting from a vendor... | 35+ years of enterprise delivery experience with a mature ML practice — providing compliance readiness, institutional knowledge, and process maturity rare in younger ML-focused competitors | 4.0 | Full comparison |
| Miquido | Product teams needing ML embedded inside polished digital... | Google-certified AI/ML capability paired with strong product design — clients receive ML that works inside well-crafted user experiences, not bolted-on algorithms | 4.0 | Full comparison |
| Simform | Industrial and enterprise companies needing cloud-native ML on... | AWS Premier Partner with 1,000+ engineers and documented depth in industrial IoT ML — connecting physical sensor streams to cloud ML inference at production scale | 3.9 | Full comparison |
| Intuz | Small and mid-size businesses needing custom AI/ML solutions... | 1,700+ project track record with a discovery-first engagement model making enterprise-grade ML accessible to SMBs through risk-reduced fixed-price POC phases | 3.9 | Full comparison |
| Scopic | Organizations needing fully custom ML engineering with 20+... | 20+ years as a distributed software company gives Scopic strong custom ML engineering discipline with confirmed production deployments across transportation and healthcare | 3.9 | Full comparison |
| N-iX | Enterprises needing large-scale ML engineering capacity in Eastern... | 2,400+ engineers with deep specialization in scalable AI architectures, able to field large dedicated teams for complex multi-year ML programmes at competitive Eastern European rates | 3.9 | Full comparison |
| Oxagile | Media, AdTech, and sports companies needing ML with... | 20+ years of video domain expertise uniquely positions Oxagile for ML use cases involving video understanding, visual search, and real-time video analytics | 3.8 | Full comparison |
| Innowise | Regulated industry organizations — banking, agriculture, healthcare —... | Cross-vertical ML delivery with documented case studies in banking automation, agricultural forecasting, and healthcare diagnostics — unusual breadth across regulated industries | 3.9 | Full comparison |
| Intellectsoft | Enterprises in fintech, healthcare, and construction needing ML... | Palo Alto HQ with 10 global delivery offices combining US-based account management with competitive Eastern European delivery rates for enterprise ML programmes | 3.8 | Full comparison |
| DataRoot Labs | Startups and scale-ups needing AI strategy alongside execution,... | One of Ukraine's most recognized ML consultancies — combining strategy-level AI advisory with hands-on engineering, a combination rare at this team size and price point | 3.8 | Full comparison |
| Itransition | Enterprises needing ML integrated into complex legacy software... | 25+ years of enterprise software delivery with five dedicated R&D labs, giving clients a mature delivery operation with advanced ML research support at competitive rates | 3.9 | Full comparison |
| 10Pearls | US-based enterprises and government contractors needing AI-native delivery... | AI-native engineering culture with four CRN Solution Provider 500 recognitions and 1,400+ experts spanning North America and LATAM for enterprise AI programmes | 3.8 | Full comparison |
| Coherent Solutions | Midwest enterprises and Microsoft-stack organizations needing ML capabilities... | Ranked #1 IT consulting firm in the Twin Cities five times in six years with 2,000+ engineers across 10 development centers, offering enterprise ML at competitive rates | 3.8 | Full comparison |
| Iflexion | US-based organizations needing ML integrated into complete custom... | 25 years of enterprise software delivery with 850+ professionals embedding ML into complete systems rather than delivering standalone models that require separate integration work | 3.7 | Full comparison |
| Appinventiv | Global businesses needing mobile-first ML delivery at scale... | 1,600+ specialists with a mobile-first AI approach and global footprint delivering 1,000+ digital assets with embedded ML — strong for consumer-facing AI product work | 3.8 | Full comparison |
| Avenga | Large enterprises in telco, banking, or automotive needing... | 6,000+ specialists across 44 delivery centers formed through PE-backed acquisitions, providing enterprise-scale AI delivery capacity — though cultural integration across legacy entities is ongoing | 3.7 | Full comparison |
| BairesDev | Companies needing rapid ML team scale-up using LATAM... | 4,000+ ML-capable LATAM engineers in US time zones with 1,200+ completed projects, enabling rapid scale-up for organizations that need to grow their ML capacity fast | 3.7 | Full comparison |
| Turing | Teams that need to extend their ML engineering... | AI-powered vetting platform screening 3M+ global ML developers to place the top 1% directly in client engineering teams at rates competitive with US in-house hiring | 3.7 | Full comparison |
| EPAM Systems | Large enterprises requiring ML at Fortune 500 scale... | 62,000+ engineers across 50+ countries delivering ML inside a full-service technology engineering operation — unmatched scale and compliance depth for global enterprise AI programmes | 3.9 | Full comparison |
Addepto FAQ
What is Addepto?
Addepto is a Poland-based AI consulting and development firm focused on end-to-end machine learning solutions for mid-market and enterprise clients. The company specializes in building data pipelines, custom ML models, and decision-support tools with particular depth in financial services, energy, and retail — industries where regulatory awareness and data governance are non-negotiable. Addepto covers the full stack from data engineering through model development, deployment, and integration.
How much does Addepto charge?
Addepto uses fixed project, t&m, dedicated team pricing. Minimum engagement starts at $20K. A discovery call is required to get project-specific quotes.
What tech stack does Addepto use?
Addepto works with Python, TensorFlow, PyTorch, Scikit-Learn, OpenAI, Hugging Face, AWS, Azure, GCP, Apache Spark, Airflow. Primary industries served include fintech, energy, retail, manufacturing, logistics.
Is Addepto right for enterprise?
Mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness. 50–200 team size. Key consideration: Smaller team than enterprise-tier firms; large-scale concurrent programmes may strain capacity.
What are the best Addepto alternatives?
The best alternatives to Addepto depend on your use case. Top options are:
- Tensorway: ml-only focus with a dedicated specialist team backed by 25 years of anadea software delivery infrastructure — unusually deep for a firm of this size
- LeewayHertz: product-centric ai delivery culture with verified fortune 500 client references including espn, siemens, and 3m — now operating within the hackett group
- InData Labs: pure-play ml boutique with a measurably higher specialist-to-generalist ratio than typical service firms, confirmed by clutch as a top ai service provider
Compare Addepto with other Machine Learning Development companies
Addepto vs Tensorway Addepto vs LeewayHertz Addepto vs InData Labs Addepto vs HatchWorks AI Addepto vs STX Next Addepto vs Tredence Addepto vs DataForest Addepto vs Forte Group Addepto vs Binariks Addepto vs Softeq Addepto vs Markovate Addepto vs ScienceSoft Addepto vs Miquido Addepto vs Simform Addepto vs Intuz Addepto vs Scopic Addepto vs N-iX Addepto vs Oxagile Addepto vs Innowise Addepto vs Intellectsoft Addepto vs DataRoot Labs Addepto vs Itransition Addepto vs 10Pearls Addepto vs Coherent Solutions Addepto vs Iflexion Addepto vs Appinventiv Addepto vs Avenga Addepto vs BairesDev Addepto vs Turing Addepto vs EPAM Systems
Last reviewed: July 2026. Verify all details directly with Addepto before making a decision.