Oxagile
A 20-year video technology and AI company with ML capabilities in object recognition, video analytics, and AdTech applications.
What is Oxagile?
Oxagile is a custom software development firm founded in 2005 with offices in New York and Minsk, Belarus, specialising in video domain AI, AdTech, business intelligence, and educational technology. The firm's machine learning practice focuses on object recognition, video analytics, and AI-powered media solutions, drawing on over 20 years of video technology delivery. Oxagile's ML engineering team works with clients in sports, media, advertising, and education to deliver production-grade AI features integrated into video platforms. The firm employs 400+ engineers.
Oxagile was founded in 2005 and is headquartered in New York, NY, USA / Minsk, Belarus. The firm employs 400–600 people and works primarily with clients in E-commerce, Healthcare, Manufacturing, Logistics, SaaS sectors. Its primary differentiator is: 20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients.
Oxagile tech stack and services
| Service area |
|---|
| Computer Vision |
| Deep Learning |
| Custom ML Development |
| Data Engineering |
| NLP & Text Analytics |
Oxagile use cases
Short answer: Oxagile is best suited for Media, sports, AdTech, video and content-analytics ML.
| Use case |
|---|
| Object recognition systems for sports highlight clip generation |
| Video analytics for media consumption behaviour and content performance |
| AdTech ML for ad relevance scoring and programmatic placement optimisation |
| Computer vision for e-learning content analysis and accessibility |
| AI-powered video search and automatic tagging for media libraries |
Oxagile pricing
Short answer: Oxagile uses a fixed project, dedicated team, t&m pricing approach. Minimum engagement starts at $25K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $25K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
Oxagile pros and cons
| Advantages | Things to consider |
|---|---|
| +20+ years of video technology expertise — stronger than most for video-domain ML use cases | -Primary strength is video and media ML — less suited to non-video ML use cases |
| +Strong computer vision and object recognition delivery across named media and sports clients | -Belarus-based delivery requires business continuity planning for long-term engagements |
| +400+ engineers provide staffing capacity for medium-to-large concurrent projects | -Less documented coverage of modern LLM and generative AI than newer competitors |
| +US-based New York presence for North American client engagement in business hours | |
| +Documented AdTech ML applications including ad relevance and fraud detection models |
Oxagile vs alternatives
How Oxagile compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
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Oxagile FAQ
What is Oxagile?
Oxagile is a custom software development firm founded in 2005 with offices in New York and Minsk, Belarus, specialising in video domain AI, AdTech, business intelligence, and educational technology. The firm's machine learning practice focuses on object recognition, video analytics, and AI-powered media solutions, drawing on over 20 years of video technology delivery. Oxagile's ML engineering team works with clients in sports, media, advertising, and education to deliver production-grade AI features integrated into video platforms. The firm employs 400+ engineers.
How much does Oxagile charge?
Oxagile uses fixed project, dedicated team, t&m 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 Python, TensorFlow, OpenCV, YOLO, FFmpeg, AWS, GCP, Docker, Kafka, Elasticsearch. Primary industries served include E-commerce, Healthcare, Manufacturing, Logistics, SaaS.
Is Oxagile right for enterprise?
Media, sports, AdTech, video and content-analytics ML. 400–600 team size. Key consideration: Primary strength is video and media ML — less suited to non-video ML use cases.
What are the best Oxagile alternatives?
The best alternatives to Oxagile depend on your use case. Top options are:
- InData Labs: pure-play data science boutique with 4.9/5 clutch rating across 18 independent reviews and documented post-launch iteration model
- Tensorway: deep learning specialist backed by its parent company's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics
- Simform: aws premier partner with 200+ ml engineers and 4.8/5 clutch rating across 82 verified reviews — one of the most independently validated firms in this niche