Best Machine Learning Development Companies

Addepto vs Oxagile: full comparison for 2026

Last updated: July 2026

Quick verdict

Addepto (4.2/5) edges ahead of Oxagile (3.8/5) overall. Addepto is the better choice for mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness. Oxagile is the stronger option for media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise. The right choice depends on your project size, budget, and required tech stack.

Addepto vs Oxagile: head-to-head summary

Criterion Addepto Oxagile
Founded 2016 2005
HQ Warsaw, Poland New York, NY, USA
Team size 50–200 250–500
Rating 4.2 / 5 3.8 / 5
Best for Mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness Media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise
Pricing model Fixed project, T&M, Dedicated team Fixed project, T&M, Dedicated team
Min. engagement $20K $25K
Primary tech stack Python, TensorFlow, PyTorch TensorFlow, PyTorch, OpenCV
Industries served fintech, energy, retail, manufacturing, logistics media, advertising, retail, sports, healthcare

Addepto vs Oxagile: overview

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.

Oxagile

Oxagile is a custom software development vendor founded in 2005 and headquartered in New York, with delivery centers in Eastern Europe. The company has 20+ years of video domain expertise and has applied machine learning to video understanding, visual search, and real-time video analytics for clients in media, advertising, sports, and retail. Oxagile's ML practice is particularly strong in use cases where video processing is the core data source.

Services and capabilities: Addepto vs Oxagile

Capability Addepto Oxagile
Custom ML development
ML consulting
Deep learning
NLP
Computer vision
MLOps
Predictive analytics
Generative AI
Data engineering
Staff augmentation

Tech stack comparison: Addepto vs Oxagile

Framework / platform Addepto Oxagile
TensorFlow
PyTorch
Scikit-Learn N/A
LangChain N/A N/A
AWS SageMaker N/A N/A
Azure ML N/A N/A
GCP Vertex AI N/A N/A
Kubernetes N/A
Apache Spark N/A
MLflow N/A N/A

Pricing comparison: Addepto vs Oxagile

Criterion Addepto Oxagile
Minimum engagement $20K $25K
Engagement models Fixed project, T&M, Dedicated team Fixed project, T&M, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: Addepto vs Oxagile

Dimension Addepto Oxagile
Best company size Startup to mid-market Startup to mid-market
Best industries fintech, energy, retail media, advertising, retail
Best use cases Credit risk scoring and fraud detection model development for fintech platforms, Energy demand forecasting and grid optimization using time-series ML models Video content analysis ML for content moderation, tagging, or recommendation, Computer vision model development for sports performance analysis
Typical project type Fixed project Fixed project

Addepto vs Oxagile: pros and cons

Addepto
+ Genuine depth in finance and energy ML — not a generalist firm claiming vertical expertise
+ Covers the full stack from data pipeline architecture through model deployment
+ Generative AI capability alongside classical ML for hybrid solution architectures
+ Warsaw delivery hub provides competitive rates with EU-based data handling
+ Accessible minimum engagement for early-stage ML projects or POCs
- Smaller team than enterprise-tier firms; large-scale concurrent programmes may strain capacity
- Less US-based client management than North American competitors
- Limited public case studies compared to larger firms with dedicated marketing teams
Oxagile
+ 20+ years of video technology expertise is a genuinely rare differentiator in the ML market
+ NVIDIA CUDA expertise for GPU-accelerated video ML inference at production scale
+ AdTech ML specialization for audience targeting and real-time bidding optimization models
+ WebRTC and live video stream processing capability alongside batch video analysis
+ Eastern European delivery with New York client-facing presence
- Video-first specialization means less breadth for non-video ML use cases
- Less generative AI LLM tooling depth compared to AI-first firms
- Limited public case studies outside media, AdTech, and sports verticals

Who should choose Addepto?

Addepto is the right choice for mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness.

End-to-end AI/ML delivery with particular sector depth in financial services and energy — industries that require compliance sophistication alongside technical capability. Minimum engagement starts at $20K. Works best with clients in fintech, energy, retail, manufacturing, logistics.

Who should choose Oxagile?

Oxagile is the right choice for media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise.

20+ years of video domain expertise uniquely positions Oxagile for ML use cases involving video understanding, visual search, and real-time video analytics. Minimum engagement starts at $25K. Works best with clients in media, advertising, retail, sports, healthcare.

Decision matrix: Addepto vs Oxagile

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Addepto
You need a large dedicated team for an ongoing programme Addepto
Your budget is at the lower end Addepto
You need specialist depth in a specific vertical Addepto
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Addepto

Use case fit: Addepto vs Oxagile

Use case Addepto fit Oxagile fit Winner
Credit risk scoring and fraud detection model development for fintech platforms Strong Limited Addepto
Energy demand forecasting and grid optimization using time-series ML models Strong Limited Addepto
Video content analysis ML for content moderation, tagging, or recommendation Limited Strong Oxagile
Computer vision model development for sports performance analysis Limited Strong Oxagile
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Addepto vs Oxagile

Addepto (4.2/5) is the stronger overall choice for most Machine Learning Development projects. End-to-end AI/ML delivery with particular sector depth in financial services and energy — industries that require compliance sophistication alongside technical capability. It is best for mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness.

Oxagile (3.8/5) is the better choice when media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise. If your situation matches those criteria, Oxagile is a competitive option.

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Addepto vs Oxagile FAQ

Is Addepto better than Oxagile?

Addepto (4.2/5) scores higher overall, but "better" depends on your use case. Addepto is better for mid-market companies in finance, energy, or retail needing bespoke ML models with full data pipeline support and sector-specific regulatory awareness. Oxagile is better for media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise.

How do Addepto and Oxagile differ in pricing?

Addepto uses fixed project, t&m, dedicated team pricing with a minimum engagement of $20K. Oxagile uses fixed project, t&m, dedicated team pricing with a minimum engagement of $25K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Addepto or Oxagile?

Oxagile is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.

What are the main differences between Addepto and Oxagile?

Addepto's 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. Oxagile's primary differentiator is: 20+ years of video domain expertise uniquely positions oxagile for ml use cases involving video understanding, visual search, and real-time video analytics. They also differ in team size (50–200 vs 250–500), minimum engagement ($20K vs $25K), and primary industries served (fintech, energy vs media, advertising).

Last reviewed: July 2026. Verify all details directly with each company before making a decision.