RTS Labs vs Oxagile: full comparison for 2026
Last updated: July 2026
Quick verdict
RTS Labs (4.5/5) edges ahead of Oxagile (4.2/5) overall. RTS Labs is the better choice for high-growth US companies that have done ML experiments and now need a partner accountable for production outcomes. Oxagile is the stronger option for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Oxagile: head-to-head summary
| Criterion | RTS Labs | Oxagile |
|---|---|---|
| Founded | 2010 | 2005 |
| HQ | Richmond, VA | Minsk, Belarus |
| Team size | 50–200 | 250–999 |
| Rating | 4.5 / 5 | 4.2 / 5 |
| Best for | High-growth US companies that have done ML experiments and now need a partner accountable for production outcomes | Enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality |
| Pricing model | Fixed project, T&M | Fixed project, T&M, dedicated team |
| Min. engagement | $25K | $20K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, OpenCV |
| Industries served | Healthcare & Life Sciences, Financial Services, Manufacturing & Industrial, Logistics & Supply Chain | Healthcare & Life Sciences, Media & Entertainment, Financial Services, Manufacturing & Industrial, Retail & E-commerce |
RTS Labs vs Oxagile: overview
RTS Labs
RTS Labs is an enterprise AI consulting firm founded in 2010 and headquartered in Richmond, Virginia. The company positions itself as a boutique applied AI partner for high-growth organisations that need production ML systems rather than proofs of concept. Services include custom application development, data engineering, MLOps, and Salesforce AI integration. RTS Labs has delivered production ML systems for WEX and other mid-market and enterprise clients in healthcare and financial services.
Oxagile
Oxagile is a software and AI development company founded in 2005 and headquartered in Minsk, Belarus, with 250–999 employees. The firm offers AI software development services with a focus on data-driven solutions for digital transformation. Oxagile is recognised for connected care AI in healthcare, computer vision in media and retail, and custom ML systems for enterprise clients across multiple verticals.
Services and capabilities: RTS Labs vs Oxagile
| Capability | RTS Labs | Oxagile |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✗ | ✓ |
| NLP & LLMs | ✗ | ✓ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: RTS Labs vs Oxagile
| Framework / platform | RTS Labs | Oxagile |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Vertex AI | N/A | N/A |
| Scikit-learn | N/A | ✓ |
| Hugging Face | N/A | N/A |
| Apache Spark | ✓ | N/A |
| Kubernetes | N/A | N/A |
| MLflow | ✓ | N/A |
Pricing comparison: RTS Labs vs Oxagile
| Criterion | RTS Labs | Oxagile |
|---|---|---|
| Minimum engagement | $25K | $20K |
| Engagement models | Fixed project, Time & materials | Fixed project, Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: RTS Labs vs Oxagile
| Dimension | RTS Labs | Oxagile |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare & Life Sciences, Financial Services, Manufacturing & Industrial | Healthcare & Life Sciences, Media & Entertainment, Financial Services |
| Best use cases | Production ML system build for high-growth fintech with post-launch support SLA, Healthcare predictive analytics pipeline from data engineering through model monitoring | Connected care AI for remote patient monitoring and telemedicine platform, Computer vision content moderation system for media streaming service |
| Typical project type | Fixed project | Fixed project |
RTS Labs vs Oxagile: pros and cons
| RTS Labs | |
|---|---|
| + | Senior-only staffing model — no junior resource substitution after the sales process |
| + | Production-first mindset — explicit accountability for post-launch monitoring and iteration |
| + | Named client references including WEX, a publicly listed fintech/fleet payments company |
| + | US-based team with no offshore substitution risk for regulated or time-sensitive projects |
| + | Salesforce AI integration capability alongside custom ML — rare combination in boutique space |
| - | Deliberately small team (50–200) caps parallel project capacity — wait times possible in busy periods |
| - | Less computer vision and LLM depth than ML-native boutiques like Tensorway or LeewayHertz |
| - | Primarily US market — less experience with EU regulatory environments |
| Oxagile | |
|---|---|
| + | Competitive rates — 40–60% lower than US equivalents at comparable engineering quality |
| + | Connected care and healthcare imaging AI track record with PACS integration experience |
| + | Lower $20K minimum makes specialist ML accessible for budget-conscious projects |
| + | Computer vision depth in both media and industrial inspection use cases |
| + | Flexible three-model engagement covers fixed scope through long-term dedicated teams |
| - | Belarus-based delivery carries geopolitical risk and potential regulatory complications for some enterprises |
| - | Less generative AI and LLM depth than firms with more recent AI-native practices |
| - | Brand visibility lower than US-headquartered peers in North American procurement processes |
Who should choose RTS Labs?
RTS Labs is the right choice for high-growth US companies that have done ML experiments and now need a partner accountable for production outcomes.
Small by choice, senior by design — every project is staffed with senior practitioners accountable for post-launch performance, not just the plan. Minimum engagement starts at $25K. Works best with clients in Healthcare & Life Sciences, Financial Services, Manufacturing & Industrial, Logistics & Supply Chain.
Who should choose Oxagile?
Oxagile is the right choice for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality.
Strong connected-care and healthcare AI track record combined with 40–60% cost advantage versus US equivalents. Minimum engagement starts at $20K. Works best with clients in Healthcare & Life Sciences, Media & Entertainment, Financial Services, Manufacturing & Industrial, Retail & E-commerce.
Decision matrix: RTS Labs vs Oxagile
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | RTS Labs |
| 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 | Oxagile |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | RTS Labs |
Use case fit: RTS Labs vs Oxagile
| Use case | RTS Labs fit | Oxagile fit | Winner |
|---|---|---|---|
| Production ML system build for high-growth fintech with post-launch support SLA | Strong | Limited | RTS Labs |
| Healthcare predictive analytics pipeline from data engineering through model monitoring | Strong | Strong | Both equally |
| Connected care AI for remote patient monitoring and telemedicine platform | Limited | Strong | Oxagile |
| Computer vision content moderation system for media streaming service | Limited | Strong | Oxagile |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: RTS Labs vs Oxagile
RTS Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Small by choice, senior by design — every project is staffed with senior practitioners accountable for post-launch performance, not just the plan. It is best for high-growth US companies that have done ML experiments and now need a partner accountable for production outcomes.
Oxagile (4.2/5) is the better choice when enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality. If your situation matches those criteria, Oxagile is a competitive option.
Related comparisons
RTS Labs vs Oxagile FAQ
Is RTS Labs better than Oxagile?
RTS Labs (4.5/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for high-growth US companies that have done ML experiments and now need a partner accountable for production outcomes. Oxagile is better for enterprises in healthcare, media, or retail seeking cost-effective ML development with Eastern European engineering quality.
How do RTS Labs and Oxagile differ in pricing?
RTS Labs uses fixed project, t&m pricing with a minimum engagement of $25K. Oxagile uses fixed project, t&m, dedicated team pricing with a minimum engagement of $20K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: RTS Labs 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 RTS Labs and Oxagile?
RTS Labs's primary differentiator is: small by choice, senior by design — every project is staffed with senior practitioners accountable for post-launch performance, not just the plan. Oxagile's primary differentiator is: strong connected-care and healthcare ai track record combined with 40–60% cost advantage versus us equivalents. They also differ in team size (50–200 vs 250–999), minimum engagement ($25K vs $20K), and primary industries served (Healthcare & Life Sciences, Financial Services vs Healthcare & Life Sciences, Media & Entertainment).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.