Oxagile
New York-based ML firm with 20+ years of video domain expertise for media, AdTech, and sports AI.
Founded 2005 | New York, NY, USA | 250–500 employees | Last updated: July 2026
custom-mlcomputer-visiondeep-learningdata-engineeringml-consulting
What is 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.
Oxagile was founded in 2005 and is headquartered in New York, NY, USA. The firm employs 250–500 people and works primarily with clients in media, advertising, retail, sports, healthcare sectors. Its 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.
Oxagile tech stack and services
TensorFlowPyTorchOpenCVPythonAWSGCPFFmpegNVIDIA CUDADockerKubernetesWebRTC
| Service area | Details |
|---|---|
| Video content analysis ML for content moderation, tagging, or recommendation | Available for media, advertising, retail, sports, healthcare clients |
| Computer vision model development for sports performance analysis | Available for media, advertising, retail, sports, healthcare clients |
| AdTech ML development for audience classification and real-time bidding optimization | Available for media, advertising, retail, sports, healthcare clients |
| Visual search ML for e-commerce product discovery using image input | Available for media, advertising, retail, sports, healthcare clients |
| Real-time video analytics system development for retail foot traffic or security applications | Available for media, advertising, retail, sports, healthcare clients |
Oxagile use cases
Short answer: Oxagile is best suited for media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise.
| Use case | Industries | Approach |
|---|---|---|
| Video content analysis ML for content moderation, tagging, or recommendation | media, advertising | TensorFlow, PyTorch |
| Computer vision model development for sports performance analysis | media, advertising | TensorFlow, PyTorch |
| AdTech ML development for audience classification and real-time bidding optimization | media, advertising | TensorFlow, PyTorch |
| Visual search ML for e-commerce product discovery using image input | media, advertising | TensorFlow, PyTorch |
| Real-time video analytics system development for retail foot traffic or security applications | media, advertising | TensorFlow, PyTorch |
Oxagile pricing
Short answer: Oxagile uses a fixed project, t&m, dedicated team pricing approach. Minimum engagement starts at $25K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $25K | 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 |
Oxagile does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Oxagile pros and cons
| Advantages | Things to consider |
|---|---|
| +20+ years of video technology expertise is a genuinely rare differentiator in the ML market | -Video-first specialization means less breadth for non-video ML use cases |
| +NVIDIA CUDA expertise for GPU-accelerated video ML inference at production scale | -Less generative AI LLM tooling depth compared to AI-first firms |
| +AdTech ML specialization for audience targeting and real-time bidding optimization models | -Limited public case studies outside media, AdTech, and sports verticals |
| +WebRTC and live video stream processing capability alongside batch video analysis | |
| +Eastern European delivery with New York client-facing presence |
Oxagile vs alternatives
How Oxagile 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 |
| Addepto | Mid-market companies in finance, energy, or retail needing... | End-to-end AI/ML delivery with particular sector depth in financial services and energy — industries that require compliance sophistication alongside technical capability | 4.2 | 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 |
| 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 |
Oxagile FAQ
What is 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.
How much does Oxagile charge?
Oxagile uses fixed project, t&m, dedicated team pricing. Minimum engagement starts at $25K. A discovery call is required to get project-specific quotes.
What tech stack does Oxagile use?
Oxagile works with TensorFlow, PyTorch, OpenCV, Python, AWS, GCP, FFmpeg, NVIDIA CUDA, Docker, Kubernetes, WebRTC. Primary industries served include media, advertising, retail, sports, healthcare.
Is Oxagile right for enterprise?
Media, AdTech, and sports companies needing ML with deep video processing and computer vision integration backed by 20+ years of video technology expertise. 250–500 team size. Key consideration: Video-first specialization means less breadth for non-video ML use cases.
What are the best Oxagile alternatives?
The best alternatives to Oxagile 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 Oxagile with other Machine Learning Development companies
Oxagile vs Tensorway Oxagile vs LeewayHertz Oxagile vs InData Labs Oxagile vs HatchWorks AI Oxagile vs STX Next Oxagile vs Tredence Oxagile vs Addepto Oxagile vs DataForest Oxagile vs Forte Group Oxagile vs Binariks Oxagile vs Softeq Oxagile vs Markovate Oxagile vs ScienceSoft Oxagile vs Miquido Oxagile vs Simform Oxagile vs Intuz Oxagile vs Scopic Oxagile vs N-iX Oxagile vs Innowise Oxagile vs Intellectsoft Oxagile vs DataRoot Labs Oxagile vs Itransition Oxagile vs 10Pearls Oxagile vs Coherent Solutions Oxagile vs Iflexion Oxagile vs Appinventiv Oxagile vs Avenga Oxagile vs BairesDev Oxagile vs Turing Oxagile vs EPAM Systems
Last reviewed: July 2026. Verify all details directly with Oxagile before making a decision.