Markovate vs SoftServe: full comparison for 2026
Last updated: July 2026
Quick verdict
Markovate (4.1/5) edges ahead of SoftServe (4.0/5) overall. Markovate is the better choice for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM).. SoftServe is the stronger option for enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices.. The right choice depends on your project size, budget, and required tech stack.
Markovate vs SoftServe: head-to-head summary
| Criterion | Markovate | SoftServe |
|---|---|---|
| Founded | 2015 | 1993 |
| HQ | San Francisco, California, United States | Austin, Texas, United States / Lviv, Ukraine |
| Team size | 50–100 | 12,000+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Best for | Companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM). | Enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices. |
| Pricing model | Project-based, dedicated team | Time & materials, managed engagement |
| Min. engagement | Not published | Not published |
| Primary tech stack | LangChain, OpenAI API, Python | AWS, Azure, Google Cloud |
| Industries served | Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality | Healthcare, FinTech, Retail & E-commerce, Manufacturing, Energy |
Markovate vs SoftServe: overview
Markovate
Markovate was founded in 2015 and is led by CEO Rajeev Sharma, an AI veteran with 18+ years of experience who previously led AI initiatives at AT&T and IBM. Headquartered with a San Francisco address (some sources cite Toronto as an operating base), the company has grown to roughly 51 employees, including 50+ engineers described as 'certified AI engineers' (per company website), delivering custom AI agents, chatbot development, and cloud services for healthcare, retail, fintech, SaaS, and travel clients. Its small team size makes it a boutique play best suited to scoped generative AI or agent projects rather than large-scale programs.
SoftServe
SoftServe was founded in 1993 in Lviv, Ukraine and now operates with a US headquarters in Austin, Texas and a European headquarters in Lviv, employing more than 12,000 people across 58 offices in 14 countries (with one source citing roughly 10,336 as of a recent count). The company's offerings span digital engineering, data analytics, cloud services, AI, machine learning, and IoT, and it ranked seventh among more than 130 Western European companies in Clutch's 2019 software development category. Its scale and 30+ year history make it a large, generalist engineering firm with AI as one of several core practices.
Services and capabilities: Markovate vs SoftServe
| Capability | Markovate | SoftServe |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: Markovate vs SoftServe
| Framework / platform | Markovate | SoftServe |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | ✓ |
Pricing comparison: Markovate vs SoftServe
| Criterion | Markovate | SoftServe |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Dedicated team | Managed engagement, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Markovate vs SoftServe
| Dimension | Markovate | SoftServe |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail & E-commerce, FinTech | Healthcare, FinTech, Retail & E-commerce |
| Best use cases | Company wants an AI agent or chatbot built by a team led by a former enterprise AI executive., Healthcare or fintech startup needs a scoped generative AI project from a small, focused vendor. | Large enterprise wants a single vendor covering AI/ML alongside cloud, data analytics, and IoT services., Company needs a choice between US and EU contracting jurisdictions from the same firm. |
| Typical project type | Project-based | Managed engagement |
Markovate vs SoftServe: pros and cons
| Markovate | |
|---|---|
| + | CEO's 18+ years leading AI initiatives at AT&T and IBM brings genuine enterprise AI leadership experience to client engagements. |
| + | Focused service scope (AI agents, chatbots, generative AI) rather than a broad, diluted general-consulting offering. |
| + | Serves a wide industry spread (healthcare to travel) despite small team size, suggesting adaptable delivery patterns. |
| - | At roughly 51 employees, capacity for multiple concurrent large engagements is limited. |
| - | HQ location is inconsistently reported (San Francisco vs. Toronto across sources) — confirm the contracting entity directly. |
| - | "50+ certified AI engineers" claim on a 51-person total headcount is a company claim worth verifying during vendor due diligence. |
| SoftServe | |
|---|---|
| + | 12,000+ employees across 58 offices in 14 countries gives it enterprise-scale delivery capacity and geographic redundancy. |
| + | 31 years of continuous operation (since 1993) through multiple technology cycles, including the post-2022 relocation pressures on Ukraine-founded firms. |
| + | Ranked 7th among 130+ Western European companies in Clutch's 2019 software development category, an independently sourced recognition. |
| + | Dual US/Ukraine headquarters structure gives clients a choice of contracting jurisdiction. |
| - | 12,000+ person scale means AI/ML is one of several mature practices (alongside cloud, data analytics, IoT) rather than the firm's core identity. |
| - | Reported employee counts vary by thousands across sources (10,336 vs. 12,000+), reflecting the difficulty of pinning down exact current headcount at this scale. |
Who should choose Markovate?
Markovate is the right choice for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM)..
CEO brings direct enterprise AI leadership experience (AT&T, IBM) rather than a purely technical or agency background.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail & E-commerce, FinTech, Travel & Hospitality.
Who should choose SoftServe?
SoftServe is the right choice for enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices..
31 years of engineering history (since 1993) with dual US and Ukraine headquarters and 12,000+ employees.. Minimum engagement starts at Not published. Works best with clients in Healthcare, FinTech, Retail & E-commerce, Manufacturing, Energy.
Decision matrix: Markovate vs SoftServe
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Markovate |
| Your budget is at the lower end | Compare: Markovate (Not published) vs SoftServe (Not published) |
| You need specialist depth in a specific vertical | SoftServe |
| You need production MLOps support after model launch | SoftServe |
| You need consulting before committing to a build | SoftServe |
Use case fit: Markovate vs SoftServe
| Use case | Markovate fit | SoftServe fit | Winner |
|---|---|---|---|
| Company wants an AI agent or chatbot built by a team led by a former enterprise AI executive. | Strong | Strong | Both equally |
| Healthcare or fintech startup needs a scoped generative AI project from a small, focused vendor. | Strong | Limited | Markovate |
| Large enterprise wants a single vendor covering AI/ML alongside cloud, data analytics, and IoT services. | Limited | Strong | SoftServe |
| Company needs a choice between US and EU contracting jurisdictions from the same firm. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Markovate vs SoftServe
Markovate (4.1/5) is the stronger overall choice for most Machine Learning Development projects. CEO brings direct enterprise AI leadership experience (AT&T, IBM) rather than a purely technical or agency background.. It is best for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM)..
SoftServe (4.0/5) is the better choice when enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices.. If your situation matches those criteria, SoftServe is a competitive option.
Related comparisons
Markovate vs SoftServe FAQ
Is Markovate better than SoftServe?
Markovate (4.1/5) scores higher overall, but "better" depends on your use case. Markovate is better for companies wanting AI agent or chatbot development led by an executive with enterprise AI leadership background (AT&T, IBM).. SoftServe is better for enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices..
How do Markovate and SoftServe differ in pricing?
Markovate uses project-based, dedicated team pricing with a minimum engagement of Not published. SoftServe uses time & materials, managed engagement 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: Markovate or SoftServe?
Markovate 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 Markovate and SoftServe?
Markovate's primary differentiator is: ceo brings direct enterprise ai leadership experience (at&t, ibm) rather than a purely technical or agency background.. SoftServe's primary differentiator is: 31 years of engineering history (since 1993) with dual us and ukraine headquarters and 12,000+ employees.. They also differ in team size (50–100 vs 12,000+), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail & E-commerce vs Healthcare, FinTech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.