Best ML Development Services

SoftServe

31-year digital engineering firm with dual US/Ukraine headquarters and a broad AI/ML practice.

Founded 1993 | Austin, Texas, United States / Lviv, Ukraine | 12,000+ employees | Last updated: July 2026
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What is 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.

SoftServe was founded in 1993 and is headquartered in Austin, Texas, United States / Lviv, Ukraine. The firm employs 12,000+ people and works primarily with clients in Healthcare, FinTech, Retail & E-commerce, Manufacturing, Energy sectors. Its primary differentiator is: 31 years of engineering history (since 1993) with dual US and Ukraine headquarters and 12,000+ employees..

SoftServe tech stack and services

AWSAzureGoogle CloudTensorFlowApache SparkKubernetes
Service area Details
Large enterprise wants a single vendor covering AI/ML alongside cloud, data analytics, and IoT services. Available for Healthcare, FinTech, Retail & E-commerce, Manufacturing, Energy clients
Company needs a choice between US and EU contracting jurisdictions from the same firm. Available for Healthcare, FinTech, Retail & E-commerce, Manufacturing, Energy clients
Client wants a vendor with three decades of continuous operating history for lower long-term vendor risk. Available for Healthcare, FinTech, Retail & E-commerce, Manufacturing, Energy clients

SoftServe use cases

Short answer: SoftServe is best suited for enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices..

Use case Industries Approach
Large enterprise wants a single vendor covering AI/ML alongside cloud, data analytics, and IoT services. Healthcare, FinTech AWS, Azure
Company needs a choice between US and EU contracting jurisdictions from the same firm. Healthcare, FinTech AWS, Azure
Client wants a vendor with three decades of continuous operating history for lower long-term vendor risk. Healthcare, FinTech AWS, Azure

SoftServe pricing

Short answer: SoftServe uses a time & materials, managed engagement pricing approach. Minimum engagement starts at Not published.

Engagement model Typical range Best for
Managed engagement Variable; depends on team size Large programmes or team augmentation
Time & materials Variable; depends on team size Large programmes or team augmentation
Staff augmentation Variable; depends on team size Large programmes or team augmentation
SoftServe does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

SoftServe pros and cons

Advantages Things to consider
+12,000+ employees across 58 offices in 14 countries gives it enterprise-scale delivery capacity and geographic redundancy. -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.
+31 years of continuous operation (since 1993) through multiple technology cycles, including the post-2022 relocation pressures on Ukraine-founded firms. -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.
+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.

SoftServe vs alternatives

How SoftServe compares to the other top Machine Learning Development companies.

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SoftServe FAQ

What is 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.

How much does SoftServe charge?

SoftServe uses time & materials, managed engagement pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.

What tech stack does SoftServe use?

SoftServe works with AWS, Azure, Google Cloud, TensorFlow, Apache Spark, Kubernetes. Primary industries served include Healthcare, FinTech, Retail & E-commerce, Manufacturing, Energy.

Is SoftServe right for enterprise?

Enterprises that want an established, dual-HQ (US/Ukraine) engineering firm with AI as one of several mature practices.. 12,000+ team size. Key consideration: 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..

What are the best SoftServe alternatives?

The best alternatives to SoftServe depend on your use case. Top options are:

  • Neurons Lab: founder-led ai strategy-to-production consultancy with no junior-heavy delivery layer.
  • Provectus: ai-first systems integrator built around running production ml/ai infrastructure long-term.
  • Tensorway: ai boutique backed by 20+ years of software delivery experience via parent company anadea.
See full alternatives list

Compare SoftServe with other Machine Learning Development companies

Last reviewed: July 2026. Verify all details directly with SoftServe before making a decision.