SoftServe vs Simform: full comparison for 2026
Last updated: July 2026
Quick verdict
SoftServe (4.0/5) edges ahead of Simform (3.8/5) overall. SoftServe is the better choice for enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices.. Simform is the stronger option for companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering.. The right choice depends on your project size, budget, and required tech stack.
SoftServe vs Simform: head-to-head summary
| Criterion | SoftServe | Simform |
|---|---|---|
| Founded | 1993 | 2010 |
| HQ | Austin, Texas, United States / Lviv, Ukraine | Orlando, Florida, United States |
| Team size | 12,000+ | 500–1,300 |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Best for | Enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices. | Companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering. |
| Pricing model | Time & materials, managed engagement | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS, Azure, Google Cloud | AWS, Kubernetes, Apache Spark |
| Industries served | Healthcare, FinTech, Retail & E-commerce, Manufacturing, Energy | Retail & E-commerce, Healthcare, FinTech, Manufacturing |
SoftServe vs Simform: overview
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.
Simform
Simform was founded in 2010 and is headquartered in Orlando, Florida, growing to a reported 500–1,300 employees (sources vary) across full-suite digital engineering capabilities including cloud, DevOps, data, and AI/ML engineering. The firm was recognized as a 2023 Fall Clutch Champion and ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023, a notable third-party distinction. Its broad 'digital engineering' positioning means AI/ML is one of several core engineering disciplines rather than the company's primary identity.
Services and capabilities: SoftServe vs Simform
| Capability | SoftServe | Simform |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: SoftServe vs Simform
| Framework / platform | SoftServe | Simform |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | ✓ | ✓ |
Pricing comparison: SoftServe vs Simform
| Criterion | SoftServe | Simform |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Managed engagement, Time & materials, Staff augmentation | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: SoftServe vs Simform
| Dimension | SoftServe | Simform |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, FinTech, Retail & E-commerce | Retail & E-commerce, Healthcare, FinTech |
| Best use cases | 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. | Company needs AI/ML engineering delivered alongside cloud infrastructure and DevOps from one vendor., Enterprise wants a vendor with a top-2 global Clutch B2B ranking for procurement confidence. |
| Typical project type | Managed engagement | Dedicated team |
SoftServe vs Simform: pros and cons
| 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. |
| Simform | |
|---|---|
| + | Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023, a strong independently sourced distinction. |
| + | 500–1,300 person scale (reports vary) supports large, multi-workstream cloud + AI/ML programs. |
| + | 14+ years of company history (since 2010) with full-suite digital engineering capability beyond AI alone. |
| + | Combines cloud/DevOps engineering with AI/ML, reducing hand-off friction between infrastructure and model delivery teams. |
| - | Reported employee count varies significantly across sources (500–1,000 vs. ~1,300), so confirm current scale directly. |
| - | AI/ML is one of several core engineering disciplines (cloud, DevOps, data) rather than the firm's exclusive specialty. |
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.
Who should choose Simform?
Simform is the right choice for companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering..
Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023 — one of the strongest third-party rankings in this list.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Healthcare, FinTech, Manufacturing.
Decision matrix: SoftServe vs Simform
| 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 | Simform |
| Your budget is at the lower end | Compare: SoftServe (Not published) vs Simform (Not published) |
| You need specialist depth in a specific vertical | SoftServe |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | SoftServe |
Use case fit: SoftServe vs Simform
| Use case | SoftServe fit | Simform fit | Winner |
|---|---|---|---|
| Large enterprise wants a single vendor covering AI/ML alongside cloud, data analytics, and IoT services. | Strong | Limited | SoftServe |
| Company needs a choice between US and EU contracting jurisdictions from the same firm. | Strong | Strong | Both equally |
| Company needs AI/ML engineering delivered alongside cloud infrastructure and DevOps from one vendor. | Strong | Strong | Both equally |
| Enterprise wants a vendor with a top-2 global Clutch B2B ranking for procurement confidence. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: SoftServe vs Simform
SoftServe (4.0/5) is the stronger overall choice for most Machine Learning Development projects. 31 years of engineering history (since 1993) with dual US and Ukraine headquarters and 12,000+ employees.. It is best for enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices..
Simform (3.8/5) is the better choice when companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering.. If your situation matches those criteria, Simform is a competitive option.
Related comparisons
SoftServe vs Simform FAQ
Is SoftServe better than Simform?
SoftServe (4.0/5) scores higher overall, but "better" depends on your use case. SoftServe is better for enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices.. Simform is better for companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering..
How do SoftServe and Simform differ in pricing?
SoftServe uses time & materials, managed engagement pricing with a minimum engagement of Not published. Simform uses time & materials, 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: SoftServe or Simform?
Simform 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 SoftServe and Simform?
SoftServe's primary differentiator is: 31 years of engineering history (since 1993) with dual us and ukraine headquarters and 12,000+ employees.. Simform's primary differentiator is: ranked #2 worldwide among clutch's top b2b service providers of 2023 — one of the strongest third-party rankings in this list.. They also differ in team size (12,000+ vs 500–1,300), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, FinTech vs Retail & E-commerce, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.