Oxagile vs Deloitte AI: full comparison for 2026
Last updated: July 2026
Quick verdict
Oxagile (4.0/5) edges ahead of Deloitte AI (3.7/5) overall. Oxagile is the better choice for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems. Deloitte AI is the stronger option for large enterprises needing AI delivery combined with regulatory compliance, audit advisory, and enterprise change management from a single Big Four partner. The right choice depends on your project size, budget, and required tech stack.
Oxagile vs Deloitte AI: head-to-head summary
| Criterion | Oxagile | Deloitte AI |
|---|---|---|
| Founded | 2005 | 1845 |
| HQ | Minsk, Belarus / Warsaw, Poland | New York, NY, USA |
| Team size | 400+ | 450,000+ total |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems | Large enterprises needing AI delivery combined with regulatory compliance, audit advisory, and enterprise change management from a single Big Four partner |
| Pricing model | Fixed project, T&M, Dedicated team | Retainer, T&M |
| Min. engagement | $25K | $500K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, AWS |
| Industries served | Media / Entertainment, Healthcare, Manufacturing, Technology / SaaS, Logistics | Financial Services, Healthcare, Government, Manufacturing, Retail / E-commerce, Energy |
Oxagile vs Deloitte AI: overview
Oxagile
Oxagile was founded in 2005 and operates with primary delivery centres in Minsk, Belarus, and Warsaw, Poland, employing 400+ professionals. The company's AI practice centres on computer vision, LLM integration, ML-supported content analysis, and video processing — capabilities that stem from its long heritage in media technology and video infrastructure for broadcasters and OTT platforms. Oxagile's computer vision work spans automated content moderation for media companies, visual quality inspection for manufacturing, and AI-assisted diagnostics for healthcare, making it one of the more vertically diverse computer vision specialists in this review.
Deloitte AI
Deloitte's artificial intelligence and data practice is part of the world's largest professional services network, with 450,000+ total professionals. The firm operates AI Studios in London (with Google Cloud), Frankfurt, and globally, serving as in-house incubators for testing and deploying generative AI and agentic systems for enterprise clients. Deloitte's AI practice spans strategy, custom ML development, generative AI, data engineering, responsible AI governance, and enterprise change management — the breadth of which reflects Deloitte's consulting heritage rather than pure engineering specialisation. Notable for combining AI technical delivery with regulatory compliance, tax, audit, and risk advisory that pure ML agencies cannot offer.
Services and capabilities: Oxagile vs Deloitte AI
| Capability | Oxagile | Deloitte AI |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Deep learning | ✗ | ✗ |
| NLP / Text analytics | ✓ | ✗ |
| Computer vision | ✓ | ✗ |
| MLOps & deployment | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| AI strategy | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✗ |
Tech stack comparison: Oxagile vs Deloitte AI
| Framework / platform | Oxagile | Deloitte AI |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: Oxagile vs Deloitte AI
| Criterion | Oxagile | Deloitte AI |
|---|---|---|
| Minimum engagement | $25K | $500K+ |
| Engagement models | Fixed project, Time & materials, Dedicated team | Retainer, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Oxagile vs Deloitte AI
| Dimension | Oxagile | Deloitte AI |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media / Entertainment, Healthcare, Manufacturing | Financial Services, Healthcare, Government |
| Best use cases | Automated video content moderation and compliance tagging for OTT and broadcast platforms, Computer vision quality inspection systems for manufacturing production lines | Enterprise AI governance framework combined with tax and regulatory risk advisory for global financial services firms, Generative AI enterprise deployment with change management and workforce upskilling at Fortune 500 scale |
| Typical project type | Fixed project | Retainer |
Oxagile vs Deloitte AI: pros and cons
| Oxagile | |
|---|---|
| + | 20-year computer vision heritage provides production-grade depth in a capability most generalists offer only superficially |
| + | Video AI and content analysis capability is particularly strong — directly transferable to media and broadcast clients |
| + | Dual delivery centre model (Minsk + Warsaw) provides redundancy and EU data processing alignment via Warsaw |
| + | Full project lifecycle from CV prototype through production deployment and monitoring |
| + | Competitive rates relative to Western European firms of equivalent computer vision depth |
| - | Minsk-based delivery introduces political and banking risk for some Western European and North American clients |
| - | Core strength is computer vision and media AI; pure NLP or tabular ML projects may receive less specialised teams |
| - | Less established for cloud-native MLOps and generative AI relative to newer AI-native firms |
| Deloitte AI | |
|---|---|
| + | AI Studio network (Google Cloud partnership in London) provides structured access to cutting-edge generative AI for enterprise clients |
| + | Big Four regulatory and compliance advisory alongside AI delivery is unique in the market |
| + | Global scale enables simultaneous AI deployment across 150+ countries for multinational enterprises |
| + | Agentic AI capability is being scaled through upskilling 1,000+ UK AI specialists on Google Cloud Gemini Enterprise |
| - | $500K+ minimum and Big Four pricing reflects advisory overhead — cost-per-ML-outcome is higher than engineering-focused competitors |
| - | AI delivery quality varies more across geographies than with specialist ML firms that operate from fewer, deeper delivery centres |
| - | Engineering specialisation is thinner than pure ML boutiques — Deloitte is better for strategy + broad delivery than deep ML research |
Who should choose Oxagile?
Oxagile is the right choice for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems.
20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. Minimum engagement starts at $25K. Works best with clients in Media / Entertainment, Healthcare, Manufacturing, Technology / SaaS, Logistics.
Who should choose Deloitte AI?
Deloitte AI is the right choice for large enterprises needing AI delivery combined with regulatory compliance, audit advisory, and enterprise change management from a single Big Four partner.
Only Big Four firm with an AI Studio network and the ability to combine AI technical delivery with tax, audit, and regulatory advisory under one professional services relationship. Minimum engagement starts at $500K+. Works best with clients in Financial Services, Healthcare, Government, Manufacturing, Retail / E-commerce, Energy.
Decision matrix: Oxagile vs Deloitte AI
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Oxagile |
| You need a large dedicated team for an ongoing programme | Oxagile |
| Your budget is at the lower end | Oxagile |
| You need specialist depth in a specific vertical | Deloitte AI |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Oxagile vs Deloitte AI
| Use case | Oxagile fit | Deloitte AI fit | Winner |
|---|---|---|---|
| Automated video content moderation and compliance tagging for OTT and broadcast platforms | Strong | Limited | Oxagile |
| Computer vision quality inspection systems for manufacturing production lines | Strong | Limited | Oxagile |
| Enterprise AI governance framework combined with tax and regulatory risk advisory for global financial services firms | Limited | Strong | Deloitte AI |
| Generative AI enterprise deployment with change management and workforce upskilling at Fortune 500 scale | Limited | Strong | Deloitte AI |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Oxagile vs Deloitte AI
Oxagile (4.0/5) is the stronger overall choice for most Machine Learning projects. 20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. It is best for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems.
Deloitte AI (3.7/5) is the better choice when large enterprises needing AI delivery combined with regulatory compliance, audit advisory, and enterprise change management from a single Big Four partner. If your situation matches those criteria, Deloitte AI is a competitive option.
Related comparisons
Oxagile vs Deloitte AI FAQ
Is Oxagile better than Deloitte AI?
Oxagile (4.0/5) scores higher overall, but "better" depends on your use case. Oxagile is better for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems. Deloitte AI is better for large enterprises needing AI delivery combined with regulatory compliance, audit advisory, and enterprise change management from a single Big Four partner.
How do Oxagile and Deloitte AI differ in pricing?
Oxagile uses fixed project, t&m, dedicated team pricing with a minimum engagement of $25K. Deloitte AI uses retainer, t&m pricing with a minimum engagement of $500K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Oxagile or Deloitte AI?
Deloitte AI is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Oxagile and Deloitte AI?
Oxagile's primary differentiator is: 20-year heritage in video technology and media ai translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. Deloitte AI's primary differentiator is: only big four firm with an ai studio network and the ability to combine ai technical delivery with tax, audit, and regulatory advisory under one professional services relationship. They also differ in team size (400+ vs 450,000+ total), minimum engagement ($25K vs $500K+), and primary industries served (Media / Entertainment, Healthcare vs Financial Services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.