Yalantis vs Turing: full comparison for 2026
Last updated: July 2026
Quick verdict
Yalantis (3.9/5) edges ahead of Turing (3.8/5) overall. Yalantis is the better choice for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering. Turing is the stronger option for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension. The right choice depends on your project size, budget, and required tech stack.
Yalantis vs Turing: head-to-head summary
| Criterion | Yalantis | Turing |
|---|---|---|
| Founded | 2008 | 2018 |
| HQ | Kyiv, Ukraine | Palo Alto, CA |
| Team size | 200–400 | 6,859 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering | Companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension |
| Pricing model | Fixed project, T&M | Dedicated team, T&M |
| Min. engagement | $25K+ | Not disclosed |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | healthcare, fintech, saas, logistics, manufacturing | saas, fintech, healthcare, retail, financial |
Yalantis vs Turing: overview
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.)
Turing
Turing was founded in 2018 by Jonathan Siddharth and Rohan Aroe and is headquartered in Palo Alto, California. The company operates as an AI-powered talent marketplace and technology services firm with a network of 4M+ vetted software engineers, data scientists, and STEM experts. Turing has raised $247M at a $2.2B valuation from WestBridge Capital and Foundation Capital, and serves 1,000+ clients including Fortune 500 companies and governments. Note: Turing is primarily a talent marketplace — clients provide direction; Turing supplies vetted engineers rather than owning ML delivery outcomes. (Funding, valuation, and client count per Turing official website and Crunchbase.)
Services and capabilities: Yalantis vs Turing
| Capability | Yalantis | Turing |
|---|---|---|
| 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: Yalantis vs Turing
| Framework / platform | Yalantis | Turing |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: Yalantis vs Turing
| Criterion | Yalantis | Turing |
|---|---|---|
| Minimum engagement | $25K+ | Not disclosed |
| Engagement models | Fixed project, T&M, Retainer | T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Yalantis vs Turing
| Dimension | Yalantis | Turing |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | healthcare, fintech, saas | saas, fintech, healthcare |
| Best use cases | Compliance-aware ML model for healthcare data, Predictive analytics for fintech risk management | Staff augmentation for ML engineering team, Rapid placement of vetted data scientists |
| Typical project type | Fixed project | T&M |
Yalantis vs Turing: pros and cons
| 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 |
| Turing | |
|---|---|
| + | 4M+ AI-vetted engineers — largest pre-screened ML talent pool in the category |
| + | $2.2B valuation with $247M raised — stable platform with institutional backing |
| + | 1,000+ clients including Fortune 500 and government organisations |
| + | Fastest path to pre-screened ML engineer placement |
| - | Talent marketplace model — Turing supplies engineers; client provides direction and owns outcomes |
| - | Less suited to projects needing a delivery firm with end-to-end accountability |
| - | Delivery quality depends on client PM capability — not owned by Turing |
Who should choose Yalantis?
Yalantis is the right choice for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering.
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.
Who should choose Turing?
Turing is the right choice for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension.
AI-vetted 4M+ developer network — fastest route to pre-screened ML talent for staff augmentation. Minimum engagement starts at Not disclosed. Works best with clients in saas, fintech, healthcare, retail, financial.
Decision matrix: Yalantis vs Turing
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Yalantis |
| You need a large dedicated team for an ongoing programme | Turing |
| Your budget is at the lower end | Compare: Yalantis ($25K+) vs Turing (Not disclosed) |
| You need specialist depth in a specific vertical | Yalantis |
| You need staff augmentation or team extension | Turing |
| You need consulting before committing to a build | Yalantis |
Use case fit: Yalantis vs Turing
| Use case | Yalantis fit | Turing fit | Winner |
|---|---|---|---|
| Compliance-aware ML model for healthcare data | Strong | Limited | Yalantis |
| Predictive analytics for fintech risk management | Strong | Limited | Yalantis |
| Staff augmentation for ML engineering team | Limited | Strong | Turing |
| Rapid placement of vetted data scientists | Limited | Strong | Turing |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Turing |
Verdict: Yalantis vs Turing
Yalantis (3.9/5) is the stronger overall choice for most Machine Learning projects. Compliance-first ML delivery — particularly strong for healthcare and regulated fintech with IoT integration needs. It is best for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering.
Turing (3.8/5) is the better choice when companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension. If your situation matches those criteria, Turing is a competitive option.
Related comparisons
Yalantis vs Turing FAQ
Is Yalantis better than Turing?
Yalantis (3.9/5) scores higher overall, but "better" depends on your use case. Yalantis is better for healthcare and fintech companies needing compliance-aware ML consulting paired with IoT or embedded engineering. Turing is better for companies needing rapid access to vetted ML engineers or data scientists for staff augmentation or team extension.
How do Yalantis and Turing differ in pricing?
Yalantis uses fixed project, t&m pricing with a minimum engagement of $25K+. Turing uses dedicated team, t&m pricing with a minimum engagement of Not disclosed. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Yalantis or Turing?
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 Yalantis and Turing?
Yalantis's primary differentiator is: compliance-first ml delivery — particularly strong for healthcare and regulated fintech with iot integration needs. Turing's primary differentiator is: ai-vetted 4m+ developer network — fastest route to pre-screened ml talent for staff augmentation. They also differ in team size (200–400 vs 6,859), minimum engagement ($25K+ vs Not disclosed), and primary industries served (healthcare, fintech vs saas, fintech).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.