RTS Labs vs Yalantis: full comparison for 2026
Quick verdict
RTS Labs (4.1/5) edges ahead of Yalantis (3.9/5) overall. RTS Labs is the better choice for US finance/healthcare firms, pilot-to-production AI. Yalantis is the stronger option for Healthcare, fintech — compliance-aware ML plus IoT. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Yalantis: head-to-head summary
| Criterion | RTS Labs | Yalantis |
|---|---|---|
| Founded | 2010 | 2008 |
| HQ | Richmond, VA | Kyiv, Ukraine |
| Team size | 50–150 | 200–400 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Pilot-to-production ML with deep data engineering roots — Snowflake, Azure, and AWS native | Compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs |
| Pricing model | Fixed project, T&M | Fixed project, T&M |
| Min. engagement | $20K+ | $25K+ |
| Primary tech stack | Python, Azure, AWS | Python, TensorFlow, PyTorch |
| Industries served | financial, healthcare, manufacturing, logistics, saas | healthcare, fintech, saas, logistics, manufacturing |
RTS Labs vs Yalantis: overview
RTS Labs
RTS Labs was founded in 2010 and is headquartered in Richmond, Virginia. The firm specialises in AI and ML projects from pilot to production, with strong roots in data engineering — pipelines, warehousing, and integration. Core platforms include Azure, AWS, Salesforce, and Snowflake, with ML applied to financial services, healthcare, and manufacturing use cases. RTS Labs has been ranked a top ML consulting firm for mid-sized US businesses. (Founding year and specialisation per RTS Labs official website.)
Yalantis
Yalantis was founded in 2008 and operates with a focus on compliance-first IoT and software engineering alongside machine learning consulting. The company's ML team provides domain-specific consulting, model deployment, and ongoing support, with depth in regulated industries including healthcare and fintech. ML consultants hold master's degrees in machine learning and have production data science experience. (Founded year per Tracxn; specialisation per Yalantis official website.)
Services and capabilities: RTS Labs vs Yalantis
| Capability | RTS Labs | Yalantis |
|---|---|---|
| Custom ML build | ✓ | ✓ |
| ML consulting | ✓ | ✓ |
| Computer vision | ✗ | ✓ |
| NLP / LLM | ✗ | ✓ |
| Predictive analytics | ✓ | ✓ |
| MLOps | ✓ | ✗ |
| Data engineering | ✓ | ✗ |
| Generative AI | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✗ | ✗ |
Tech stack comparison: RTS Labs vs Yalantis
| Framework / platform | RTS Labs | Yalantis |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: RTS Labs vs Yalantis
| Criterion | RTS Labs | Yalantis |
|---|---|---|
| Minimum engagement | $20K+ | $25K+ |
| Engagement models | Fixed project, T&M | Fixed project, T&M, Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: RTS Labs vs Yalantis
| Dimension | RTS Labs | Yalantis |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | financial, healthcare, manufacturing | healthcare, fintech, saas |
| Best use cases | ML-powered financial fraud detection, Healthcare data pipeline and predictive analytics | Compliance-aware ML model for healthcare data, Predictive analytics for fintech risk management |
| Typical project type | Fixed project | Fixed project |
RTS Labs vs Yalantis: pros and cons
| RTS Labs | |
|---|---|
| + | Pilot-to-production ML ownership — not just consulting deliverables |
| + | Strong data engineering base: pipelines, warehousing, Snowflake, dbt |
| + | Azure and AWS native with Salesforce integration experience |
| + | US-based with financial services and healthcare domain knowledge |
| + | Practical, outcome-focused approach for mid-market budgets |
| - | Smaller team limits concurrent large programmes |
| - | Less international delivery footprint than larger firms |
| Yalantis | |
|---|---|
| + | Compliance-first approach for regulated healthcare and fintech projects |
| + | Full-lifecycle ML: from consulting through deployment and support |
| + | Master's-qualified ML consultants — verifiable technical depth |
| + | IoT integration experience alongside ML — rare combination |
| - | Ukraine-based delivery carries geographic risk considerations for some clients |
| - | Less suited to pure data science research or exploratory projects |
Who should choose RTS Labs?
A typical fit: ML-powered financial fraud detection.
Pilot-to-production ML with deep data engineering roots — Snowflake, Azure, and AWS native. Minimum engagement starts at $20K+. Works best with clients in financial, healthcare, manufacturing, logistics, saas.
Who should choose Yalantis?
A typical fit: compliance-aware ML model for healthcare data.
Compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs. Minimum engagement starts at $25K+. Works best with clients in healthcare, fintech, saas, logistics, manufacturing.
Decision matrix: RTS Labs vs Yalantis
| 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 | Check each company's engagement model |
| Your budget is at the lower end | RTS Labs |
| You need specialist depth in a specific vertical | RTS Labs |
| 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 Yalantis
| Use case | RTS Labs fit | Yalantis fit | Winner |
|---|---|---|---|
| ML-powered financial fraud detection | Strong | Limited | RTS Labs |
| Healthcare data pipeline and predictive analytics | Strong | Strong | Both equally |
| Compliance-aware ML model for healthcare data | Limited | Strong | Yalantis |
| Predictive analytics for fintech risk management | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: RTS Labs vs Yalantis
RTS Labs (4.1/5) is the stronger overall choice for most Machine Learning projects. Pilot-to-production ML with deep data engineering roots — Snowflake, Azure, and AWS native.
Yalantis (3.9/5) is worth a look if you need predictive analytics for fintech risk management. If your situation matches that, Yalantis is a competitive option.
Related comparisons
RTS Labs vs Yalantis FAQ
Is RTS Labs better than Yalantis?
RTS Labs (4.1/5) scores higher overall, but "better" depends on your use case. RTS Labs's strongest advantage: pilot-to-production ML ownership — not just consulting deliverables. Yalantis's strongest advantage: compliance-first approach for regulated healthcare and fintech projects.
How do RTS Labs and Yalantis differ in pricing?
RTS Labs uses fixed project, t&m pricing with a minimum engagement of $20K+. Yalantis uses fixed project, t&m 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: RTS Labs or Yalantis?
Yalantis 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 RTS Labs and Yalantis?
RTS Labs's primary differentiator is: pilot-to-production ML with deep data engineering roots — Snowflake, Azure, and AWS native. Yalantis's primary differentiator is: compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs. They also differ in team size (50–150 vs 200–400), minimum engagement ($20K+ vs $25K+), and primary industries served (financial, healthcare vs healthcare, fintech).