Addepto vs SoftServe: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.4/5) edges ahead of SoftServe (4.0/5) overall. Addepto is the better choice for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. SoftServe is the stronger option for enterprises needing edge computer vision or asset-monitoring ML at scale, backed by the deepest multi-cloud/GPU certification stack in this comparison.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs SoftServe: head-to-head summary
| Criterion | Addepto | SoftServe |
|---|---|---|
| Founded | 2018 | 1993 |
| HQ | Warsaw, Poland | Austin, USA (European hub: Lviv, Ukraine) |
| Team size | 51–200 | 10,000+ |
| Rating | 4.4 / 5 | 4.0 / 5 |
| Best for | Cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build. | Enterprises needing edge computer vision or asset-monitoring ML at scale, backed by the deepest multi-cloud/GPU certification stack in this comparison. |
| Pricing model | Project-based | Not published; enterprise project engagements |
| Min. engagement | $10,000 | Not published |
| Primary tech stack | Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) | AWS, Google Cloud, NVIDIA Jetson |
| Industries served | Finance, Healthcare, Retail | Energy/oil and gas, Retail, Food manufacturing, Automotive |
Addepto vs SoftServe: overview
Addepto
Addepto is a Poland-based AI consulting firm founded in 2018 by Artur Haponik and Edwin Lisowski that focuses specifically on machine learning consulting, MLOps consulting, and data/analytics advisory work rather than broader software development. The company has around 52 employees and holds a 4.7 Clutch rating, with Clutch-reported project costs typically in the $10,000–$49,000 range, making it one of the more budget-accessible options among firms in this category. Addepto has been recognized among Forbes' top AI consulting companies and appeared on the Deloitte Technology Fast 500 EMEA list, citing 1,193 percent revenue growth over the qualifying period. In December 2025, Addepto was acquired by KMS Technology, a US-based digital engineering, data, and AI company backed by growth private equity firm Sunstone Partners; Addepto now operates as an integrated division rather than as a fully independent company.
SoftServe
SoftServe was founded in 1993 in Lviv, Ukraine, and has grown into one of the largest privately held IT services companies headquartered out of Austin, Texas, with a European operating hub still in Lviv. The company reports more than 12,000 employees across 58 offices in 14 countries. Its AI/ML practice centers on computer vision at the edge for use cases including oil well monitoring, crop analysis, retail loss prevention, food manufacturing, and automotive production lines, supported by multimodal RAG assistants and asset-monitoring ML for the energy sector. SoftServe holds AWS Machine Learning Premier Consulting Partner status, Google Cloud Big Data/AI/ML Specialization, and NVIDIA Elite Consulting Partner and Jetson edge-AI partner status.
Services and capabilities: Addepto vs SoftServe
| Capability | Addepto | SoftServe |
|---|---|---|
| Custom model training | ✓ | ✗ |
| Fine-tuning & adaptation | ✗ | ✗ |
| MLOps pipeline | ✓ | ✓ |
| Model deployment & serving | ✗ | ✓ |
| Data engineering for ML | ✓ | ✗ |
| ML infrastructure management | ✗ | ✓ |
| Computer vision | ✗ | ✓ |
| NLP & LLM development | ✗ | ✗ |
| Forecasting & time-series modeling | ✗ | ✗ |
| ML strategy consulting | ✓ | ✗ |
Tech stack comparison: Addepto vs SoftServe
| Framework / platform | Addepto | SoftServe |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| MLflow | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | N/A | ✓ |
| Microsoft Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | ✓ |
Pricing comparison: Addepto vs SoftServe
| Criterion | Addepto | SoftServe |
|---|---|---|
| Minimum engagement | $10,000 | Not published |
| Engagement models | Fixed project, Advisory/consulting retainer | Enterprise project engagement, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs SoftServe
| Dimension | Addepto | SoftServe |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Finance, Healthcare, Retail | Energy/oil and gas, Retail, Food manufacturing |
| Best use cases | Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot | Deploying edge computer vision for industrial monitoring (oil wells, production lines, food manufacturing), Building multimodal RAG assistants on top of enterprise knowledge bases |
| Typical project type | Fixed project | Enterprise project engagement |
Addepto vs SoftServe: pros and cons
| Addepto | |
|---|---|
| + | 4.7 Clutch rating with lower typical project cost ($10K–$49K) than most peers in this comparison. |
| + | Named a top 10 AI consulting company by Forbes. |
| + | Deloitte Technology Fast 500 EMEA recognition (#143) signals strong recent revenue growth. |
| + | Focused specifically on ML/MLOps consulting rather than diluting attention across general software development. |
| - | Small team (~52 employees) caps capacity for large or multiple concurrent enterprise engagements. |
| - | Lower typical project size may signal a fit for smaller-scope work rather than large production ML platforms. |
| - | Public case studies with named enterprise clients are limited in available sources. |
| - | Now part of KMS Technology following the December 2025 acquisition, introducing near-term integration and roadmap uncertainty for prospective clients. |
| SoftServe | |
|---|---|
| + | Triple-certified across AWS, Google Cloud, and NVIDIA — the broadest verified partner-tier stack researched for this list. |
| + | Specific, detailed edge computer vision use cases (oil wells, crop monitoring, production lines) rather than generic AI claims. |
| + | Very large scale (12,000+ employees) supports substantial concurrent program capacity. |
| + | Three-decade operating history with continuity through significant regional disruption. |
| - | Clutch review volume is notably thin (only 3 reviews found) for a company of this size, limiting independent buyer feedback signal. |
| - | Enterprise scale may be less accessible or cost-effective for smaller buyers. |
| - | Pricing model and minimum engagement are not published. |
| - | Named enterprise clients for specific ML case studies are described by industry rather than by name in available sources. |
Who should choose Addepto?
Addepto is the right choice for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..
Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. Minimum engagement starts at $10,000. Works best with clients in Finance, Healthcare, Retail.
Who should choose SoftServe?
SoftServe is the right choice for enterprises needing edge computer vision or asset-monitoring ML at scale, backed by the deepest multi-cloud/GPU certification stack in this comparison..
Only company in this list simultaneously holding AWS Premier, Google Cloud AI/ML Specialization, and NVIDIA Elite Consulting Partner status, reflecting particular strength in edge and GPU-accelerated computer vision.. Minimum engagement starts at Not published. Works best with clients in Energy/oil and gas, Retail, Food manufacturing, Automotive.
Decision matrix: Addepto vs SoftServe
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Addepto |
| You need a large dedicated team for an ongoing programme | SoftServe |
| Your budget is at the lower end | Compare: Addepto ($10,000) vs SoftServe (Not published) |
| You need specialist depth in a specific vertical | SoftServe |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs SoftServe
| Use case | Addepto fit | SoftServe fit | Winner |
|---|---|---|---|
| Auditing an existing ML pipeline and recommending MLOps improvements | Strong | Limited | Addepto |
| Running a well-scoped, budget-constrained machine learning pilot | Strong | Strong | Both equally |
| Deploying edge computer vision for industrial monitoring (oil wells, production lines, food manufacturing) | Limited | Strong | SoftServe |
| Building multimodal RAG assistants on top of enterprise knowledge bases | Limited | Strong | SoftServe |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Strong | Limited | Addepto |
Verdict: Addepto vs SoftServe
Addepto (4.4/5) is the stronger overall choice for most ML Model Development projects. Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. It is best for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..
SoftServe (4.0/5) is the better choice when enterprises needing edge computer vision or asset-monitoring ML at scale, backed by the deepest multi-cloud/GPU certification stack in this comparison.. If your situation matches those criteria, SoftServe is a competitive option.
Related comparisons
Addepto vs SoftServe FAQ
Is Addepto better than SoftServe?
Addepto (4.4/5) scores higher overall, but "better" depends on your use case. Addepto is better for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. SoftServe is better for enterprises needing edge computer vision or asset-monitoring ML at scale, backed by the deepest multi-cloud/GPU certification stack in this comparison..
How do Addepto and SoftServe differ in pricing?
Addepto uses project-based pricing with a minimum engagement of $10,000. SoftServe uses not published; enterprise project engagements 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: Addepto or SoftServe?
Addepto 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 Addepto and SoftServe?
Addepto's primary differentiator is: dedicated mlops-consulting service line and clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. SoftServe's primary differentiator is: only company in this list simultaneously holding aws premier, google cloud ai/ml specialization, and nvidia elite consulting partner status, reflecting particular strength in edge and gpu-accelerated computer vision.. They also differ in team size (51–200 vs 10,000+), minimum engagement ($10,000 vs Not published), and primary industries served (Finance, Healthcare vs Energy/oil and gas, Retail).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.