SoftServe
Ukraine-founded digital engineering firm with dual US/Ukraine headquarters and a long-standing AI/ML practice.
Founded 1993 | Austin, Texas, USA / Lviv, Ukraine | 10,000+ employees
ml-developmentdata-engineeringmlopsstaff-aug
What is SoftServe?
SoftServe is a digital engineering and consulting company founded in 1993 in Lviv, Ukraine, with US headquarters in Austin, Texas and European headquarters remaining in Lviv. Reported headcount ranges from roughly 10,000 to 12,000 employees across 58 offices in 14 countries, with AI/ML, data and analytics, and cloud among its core practice areas.
SoftServe was founded in 1993 and is headquartered in Austin, Texas, USA / Lviv, Ukraine. The firm employs 10,000+ people and works primarily with clients in Healthcare, Retail, Financial Services, Technology/SaaS sectors. Its primary differentiator is: 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots.
SoftServe tech stack and services
PythonTensorFlowAzureAWSKubernetes
| Service area |
|---|
| Custom ML Development |
| Data Engineering |
| MLOps |
| Staff Augmentation |
SoftServe use cases
Short answer: SoftServe is best suited for enterprises wanting an established AI/ML, cloud, and IoT partner.
| Use case |
|---|
| Enterprise clients needing AI/ML delivered as part of a broader digital engineering program |
| Healthcare or retail programs combining cloud migration with applied ML |
| Long-term staff augmentation to extend an in-house AI team |
SoftServe pricing
Short answer: SoftServe uses a fixed project, dedicated team, staff augmentation pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From Not published | Well-defined scope |
| Dedicated team | 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 |
|---|---|
| +32 years of operating history, among the longest on this list | -AI/ML is one of several major practice areas rather than the company's sole focus |
| +10,000+ employees across 58 offices supports very large, globally distributed programs | -Very large scale may mean less senior-level access on smaller engagements than boutique specialists |
| +AI/ML practice sits alongside mature cloud, data, and IoT capabilities from the same firm | -Minimum engagement size and standard pricing not publicly disclosed |
| +Dual US/Ukraine headquarters structure has proven resilient through a long operating history |
SoftServe vs alternatives
How SoftServe compares to the other top Machine Learning Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Regulated finance firms, PoC-to-production ML delivery. | One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence. | 4.8 | Full comparison |
| Tensorway | Mid-market companies, full-stack ML plus agentic AI. | full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team. | 4.6 | Full comparison |
| Provectus | Mid-market and enterprise buyers, AI bundled with cloud... | Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice. | 4.5 | Full comparison |
| InData Labs | Fintech, healthcare, SaaS — specialist data-science boutique. | Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. | 4.5 | Full comparison |
| AI Superior | EU SMBs, research-grade ML at accessible pricing. | PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. | 4.3 | Full comparison |
| Data Monsters | GPU-heavy deep learning, NVIDIA-partnered lab. | Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). | 4.2 | Full comparison |
| ITRex Group | Mid-market companies, AI/ML plus IoT/edge deployment. | Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. | 4.2 | Full comparison |
| Ideas2IT | Healthcare and BFSI enterprises, AI within product engineering. | Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. | 4.1 | Full comparison |
| Quantiphi | Financial-services enterprises, cloud-native AI at scale. | AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. | 4.4 | Full comparison |
| Fractal Analytics | Large enterprises, publicly-listed AI/analytics partner. | First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. | 4.4 | Full comparison |
| Tredence | Retail, CPG, industrials — vertical-focused data science at... | Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. | 4.2 | Full comparison |
| Sigmoid | Large enterprises, data-engineering-first ML delivery. | Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. | 4.2 | Full comparison |
| LatentView Analytics | Companies wanting BI delivery with ML layered in. | Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history. | 3.9 | Full comparison |
| Indium Software | Existing Indium QA clients adding AI/ML. | Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. | 3.8 | Full comparison |
| Grid Dynamics | Enterprises needing SEC-level transparency, AI at scale. | Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. | 4.1 | Full comparison |
| Persistent Systems | Very large enterprises, AI from their existing IT... | Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty. | 3.8 | Full comparison |
| EPAM Systems | Largest global enterprises, AI within a massive engineering... | Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL). | 3.8 | Full comparison |
| N-iX | Fortune 500 clients, European-HQ dedicated ML/AI line. | 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. | 4.0 | Full comparison |
| DataArt | Finance, media, healthcare enterprises — established global AI... | 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line. | 3.9 | Full comparison |
| Andersen | Mid-to-large enterprises, AI/ML plus custom software, one vendor. | Named AI-powered robotic integration line alongside standard AI/ML and data science services. | 4.0 | Full comparison |
| Innowise Group | Companies wanting AI/ML within full-cycle software development. | Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. | 3.9 | Full comparison |
| Sigma Software Group | Companies wanting ML from a top-ranked outsourcing firm. | Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. | 4.0 | Full comparison |
| Exadel | Enterprises, end-to-end model design through MLOps. | Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. | 4.1 | Full comparison |
| MobiDev | Retail, hospitality, fitness companies — proven mid-size AI... | 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. | 4.2 | Full comparison |
| Master of Code Global | Companies building conversational AI and chatbot products. | Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. | 4.1 | Full comparison |
| ScienceSoft | Companies wanting AI/ML from an established IT generalist. | 36 years of continuous IT consulting history, one of the longest track records among firms on this list. | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI app development, brand-name client history. | Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. | 4.0 | Full comparison |
| Belitsoft | Small-to-mid companies, affordable AI/ML add-on. | 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. | 3.9 | Full comparison |
| Neoteric | SMBs wanting an accessible generative-AI specialist. | 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. | 4.3 | Full comparison |
| Addepto | Companies wanting boutique AI/BI, now KMS-backed. | Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. | 4.1 | Full comparison |
| Softweb Solutions | Companies needing AI/ML plus IoT, Avnet-backed. | Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. | 3.9 | Full comparison |
SoftServe FAQ
What is SoftServe?
SoftServe is a digital engineering and consulting company founded in 1993 in Lviv, Ukraine, with US headquarters in Austin, Texas and European headquarters remaining in Lviv. Reported headcount ranges from roughly 10,000 to 12,000 employees across 58 offices in 14 countries, with AI/ML, data and analytics, and cloud among its core practice areas.
How much does SoftServe charge?
SoftServe uses fixed project, dedicated team, staff augmentation 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 Python, TensorFlow, Azure, AWS, Kubernetes. Primary industries served include Healthcare, Retail, Financial Services, Technology/SaaS.
Is SoftServe right for enterprise?
Enterprises wanting an established AI/ML, cloud, and IoT partner. 10,000+ team size. Key consideration: AI/ML is one of several major practice areas rather than the company's sole focus.
What are the best SoftServe alternatives?
The best alternatives to SoftServe depend on your use case. Top options are:
- Neurons Lab: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.
- Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
- Provectus: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.
Compare SoftServe with other Machine Learning Development agencies
SoftServe vs Neurons Lab SoftServe vs Tensorway SoftServe vs Provectus SoftServe vs InData Labs SoftServe vs AI Superior SoftServe vs Data Monsters SoftServe vs ITRex Group SoftServe vs Ideas2IT SoftServe vs Quantiphi SoftServe vs Fractal Analytics SoftServe vs Tredence SoftServe vs Sigmoid SoftServe vs LatentView Analytics SoftServe vs Indium Software SoftServe vs Grid Dynamics SoftServe vs Persistent Systems SoftServe vs EPAM Systems SoftServe vs N-iX SoftServe vs DataArt SoftServe vs Andersen SoftServe vs Innowise Group SoftServe vs Sigma Software Group SoftServe vs Exadel SoftServe vs MobiDev SoftServe vs Master of Code Global SoftServe vs ScienceSoft SoftServe vs Intellectsoft SoftServe vs Belitsoft SoftServe vs Neoteric SoftServe vs Addepto SoftServe vs Softweb Solutions