Yalantis vs Konstant Infosolutions: full comparison for 2026
Last updated: July 2026
Quick verdict
Yalantis (4.0/5) edges ahead of Konstant Infosolutions (3.9/5) overall. Yalantis is the better choice for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. Konstant Infosolutions is the stronger option for companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor.. The right choice depends on your project size, budget, and required tech stack.
Yalantis vs Konstant Infosolutions: head-to-head summary
| Criterion | Yalantis | Konstant Infosolutions |
|---|---|---|
| Founded | 2008 | 2003 |
| HQ | Larnaca, Cyprus | Jaipur, India |
| Team size | 500+ | 180+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms. | Companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor. |
| Pricing model | Fixed project, dedicated team | Project-based, dedicated team |
| Min. engagement | $10,000 | Not published |
| Primary tech stack | AWS SageMaker, Azure ML, Google Cloud Vertex AI | TensorFlow, OpenCV, Python |
| Industries served | Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain | Retail & E-commerce, Healthcare, FinTech, Education |
Yalantis vs Konstant Infosolutions: overview
Yalantis
Yalantis was founded in 2008 with headquarters in Larnaca, Cyprus and development hubs in Dnipro, Kyiv, and Lviv, Ukraine, growing to roughly 500 specialists. The firm positions itself as a 'compliance-first engineering partner,' building high-performance ML models across Amazon, Microsoft Azure, and Google Cloud ML platforms, including data preparation, model selection, training, deployment, and multimodal LLM processing for visual and text data. Project costs are reported to range from $10,000 to over $800,000, indicating the firm handles both small scoped projects and large enterprise programs.
Konstant Infosolutions
Konstant Infosolutions was founded in 2003 and has grown from a two-person operation to roughly 180 tech experts, with offices in the United States and UAE serving clients across Canada, the UK, Saudi Arabia, and other regions. The firm's AI/ML offerings include product design and development, AI consultancy, integrations, and strategy planning, spanning AI/ML, generative AI, AI chatbots, computer vision, and predictive analytics, and it holds more than 175 reviews on Clutch. Its core identity as a mobile/web app development company means AI/ML is a newer, extended capability rather than a founding specialty.
Services and capabilities: Yalantis vs Konstant Infosolutions
| Capability | Yalantis | Konstant Infosolutions |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✓ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: Yalantis vs Konstant Infosolutions
| Framework / platform | Yalantis | Konstant Infosolutions |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Yalantis vs Konstant Infosolutions
| Criterion | Yalantis | Konstant Infosolutions |
|---|---|---|
| Minimum engagement | $10,000 | Not published |
| Engagement models | Fixed project, Dedicated team, Staff augmentation | Project-based, Dedicated team, Fixed project |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Yalantis vs Konstant Infosolutions
| Dimension | Yalantis | Konstant Infosolutions |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, IoT & Embedded Systems, FinTech | Retail & E-commerce, Healthcare, FinTech |
| Best use cases | Healthcare or IoT company needs ML development from a compliance-first engineering partner., Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. | Company wants AI/ML features (chatbot, computer vision, predictive analytics) added to an existing mobile or web product., Team wants a vendor with a very large Clutch review sample size for procurement due diligence. |
| Typical project type | Fixed project | Project-based |
Yalantis vs Konstant Infosolutions: pros and cons
| Yalantis | |
|---|---|
| + | Compliance-first positioning is a genuine differentiator for regulated industries like healthcare and embedded/IoT systems. |
| + | Multi-cloud ML delivery capability (AWS, Azure, GCP) avoids vendor lock-in to a single hyperscaler. |
| + | Wide project-cost range ($10,000–$800,000+) means the firm can serve both small scoped projects and large programs without switching vendors. |
| + | 500+ specialists across three Ukrainian development hubs provides meaningful delivery redundancy. |
| - | IoT and hardware engineering heritage means ML is one of several engineering disciplines rather than the firm's sole focus. |
| - | Larnaca, Cyprus legal HQ with all technical delivery in Ukraine is standard for the region but worth confirming for contract jurisdiction purposes. |
| Konstant Infosolutions | |
|---|---|
| + | 175+ Clutch reviews is one of the highest client-review volumes in this list, offering a large sample size for due diligence. |
| + | 23 years of company history (since 2003) with demonstrated growth from a two-person startup to a 180+ person firm. |
| + | 2,500+ clients served indicates broad market traction beyond a handful of flagship case studies. |
| + | Covers a useful AI sub-specialty spread (chatbots, computer vision, predictive analytics) for product-embedded AI needs. |
| - | Company's primary identity and longest track record is in mobile/web app development, with AI/ML as an extended, newer service line. |
| - | 180-person team spans multiple service lines (mobile, web, AI), so ML-specific bench depth is smaller than total headcount implies. |
Who should choose Yalantis?
Yalantis is the right choice for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof.. Minimum engagement starts at $10,000. Works best with clients in Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain.
Who should choose Konstant Infosolutions?
Konstant Infosolutions is the right choice for companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor..
175+ Clutch reviews — one of the highest review volumes in this list — from a 23-year mobile/web development track record.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Healthcare, FinTech, Education.
Decision matrix: Yalantis vs Konstant Infosolutions
| 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 | Yalantis |
| Your budget is at the lower end | Compare: Yalantis ($10,000) vs Konstant Infosolutions (Not published) |
| You need specialist depth in a specific vertical | Yalantis |
| You need production MLOps support after model launch | Yalantis |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Yalantis vs Konstant Infosolutions
| Use case | Yalantis fit | Konstant Infosolutions fit | Winner |
|---|---|---|---|
| Healthcare or IoT company needs ML development from a compliance-first engineering partner. | Strong | Limited | Yalantis |
| Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. | Strong | Strong | Both equally |
| Company wants AI/ML features (chatbot, computer vision, predictive analytics) added to an existing mobile or web product. | Strong | Strong | Both equally |
| Team wants a vendor with a very large Clutch review sample size for procurement due diligence. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Yalantis vs Konstant Infosolutions
Yalantis (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof.. It is best for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
Konstant Infosolutions (3.9/5) is the better choice when companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor.. If your situation matches those criteria, Konstant Infosolutions is a competitive option.
Related comparisons
Yalantis vs Konstant Infosolutions FAQ
Is Yalantis better than Konstant Infosolutions?
Yalantis (4.0/5) scores higher overall, but "better" depends on your use case. Yalantis is better for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. Konstant Infosolutions is better for companies needing AI/ML features added to a mobile or web product from an established, high-review-volume vendor..
How do Yalantis and Konstant Infosolutions differ in pricing?
Yalantis uses fixed project, dedicated team pricing with a minimum engagement of $10,000. Konstant Infosolutions uses project-based, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Yalantis or Konstant Infosolutions?
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 company before shortlisting.
What are the main differences between Yalantis and Konstant Infosolutions?
Yalantis's primary differentiator is: compliance-first positioning combined with multi-cloud ml delivery (aws, azure, gcp) under one roof.. Konstant Infosolutions's primary differentiator is: 175+ clutch reviews — one of the highest review volumes in this list — from a 23-year mobile/web development track record.. They also differ in team size (500+ vs 180+), minimum engagement ($10,000 vs Not published), and primary industries served (Healthcare, IoT & Embedded Systems vs Retail & E-commerce, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.