Addepto vs Sigma Software Group: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.4/5) edges ahead of Sigma Software Group (4.1/5) 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.. Sigma Software Group is the stronger option for companies wanting a large, diversified engineering group with a Snowflake-certified data platform practice underlying ML delivery.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Sigma Software Group: head-to-head summary
| Criterion | Addepto | Sigma Software Group |
|---|---|---|
| Founded | 2018 | 2002 |
| HQ | Warsaw, Poland | Stockholm, Sweden (engineering hub: Kharkiv, Ukraine) |
| Team size | 51–200 | 1,001–5,000 |
| Rating | 4.4 / 5 | 4.1 / 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. | Companies wanting a large, diversified engineering group with a Snowflake-certified data platform practice underlying ML delivery. |
| Pricing model | Project-based | Time & Material, Fixed project |
| Min. engagement | $10,000 | $10,000 |
| Primary tech stack | Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) | Snowflake, Python, Cloud ML platforms (AWS/Azure/GCP) |
| Industries served | Finance, Healthcare, Retail | AdTech, Automotive, Aviation, Gaming, Telecom, FinTech, PropTech |
Addepto vs Sigma Software Group: 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.
Sigma Software Group
Sigma Software Group traces its origins to 2002 in Kharkiv, Ukraine, and became affiliated with the Swedish Sigma Group in 2006, giving it dual Stockholm/Kharkiv operating roots. The company reports roughly 2,100 professionals across 40 offices in 19 countries. Its machine learning practice covers supervised and unsupervised modeling, anomaly detection, forecasting, and broader data engineering and platform work, and it holds a Snowflake AI Data Cloud partnership. Sigma Software serves a diversified industry base spanning AdTech, automotive, aviation, gaming, telecom, FinTech, and PropTech, rather than concentrating in one vertical.
Services and capabilities: Addepto vs Sigma Software Group
| Capability | Addepto | Sigma Software Group |
|---|---|---|
| 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 Sigma Software Group
| Framework / platform | Addepto | Sigma Software Group |
|---|---|---|
| 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 | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
| Snowflake | N/A | ✓ |
| NVIDIA | N/A | N/A |
Pricing comparison: Addepto vs Sigma Software Group
| Criterion | Addepto | Sigma Software Group |
|---|---|---|
| Minimum engagement | $10,000 | $10,000 |
| Engagement models | Fixed project, Advisory/consulting retainer | Time & Material, Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Addepto vs Sigma Software Group
| Dimension | Addepto | Sigma Software Group |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Finance, Healthcare, Retail | AdTech, Automotive, Aviation |
| Best use cases | Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot | Building a Snowflake-based data platform to support ML model training and serving, Running an anomaly detection or forecasting project for AdTech, gaming, or telecom clients |
| Typical project type | Fixed project | Time & Material |
Addepto vs Sigma Software Group: 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. |
| Sigma Software Group | |
|---|---|
| + | Over two decades of continuous operation with dual Swedish/Ukrainian corporate structure. |
| + | Snowflake certified partnership adds credibility to data platform work underneath ML delivery. |
| + | Very broad industry diversification reduces single-sector concentration risk for the vendor. |
| + | 37 Clutch reviews with consistently positive sentiment excerpts on delivery quality. |
| - | Specific named ML client case studies are thin in available public sources. |
| - | No clearly captured aggregate Clutch star score in this research pass, despite a solid review volume. |
| - | ML/data is one of many service lines within a large, diversified group rather than the sole focus. |
| - | Wide project cost range ($10K to $4M+) makes upfront budgeting less predictable. |
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 Sigma Software Group?
Sigma Software Group is the right choice for companies wanting a large, diversified engineering group with a Snowflake-certified data platform practice underlying ML delivery..
Snowflake AI Data Cloud partnership combined with unusually broad industry diversification (AdTech through aviation to gaming).. Minimum engagement starts at $10,000. Works best with clients in AdTech, Automotive, Aviation, Gaming, Telecom, FinTech, PropTech.
Decision matrix: Addepto vs Sigma Software Group
| 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 | Sigma Software Group |
| Your budget is at the lower end | Addepto |
| You need specialist depth in a specific vertical | Sigma Software Group |
| 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 Sigma Software Group
| Use case | Addepto fit | Sigma Software Group 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 |
| Building a Snowflake-based data platform to support ML model training and serving | Limited | Strong | Sigma Software Group |
| Running an anomaly detection or forecasting project for AdTech, gaming, or telecom clients | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Strong | Limited | Addepto |
Verdict: Addepto vs Sigma Software Group
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..
Sigma Software Group (4.1/5) is the better choice when companies wanting a large, diversified engineering group with a Snowflake-certified data platform practice underlying ML delivery.. If your situation matches those criteria, Sigma Software Group is a competitive option.
Related comparisons
Addepto vs Sigma Software Group FAQ
Is Addepto better than Sigma Software Group?
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.. Sigma Software Group is better for companies wanting a large, diversified engineering group with a Snowflake-certified data platform practice underlying ML delivery..
How do Addepto and Sigma Software Group differ in pricing?
Addepto uses project-based pricing with a minimum engagement of $10,000. Sigma Software Group uses time & material, fixed project pricing with a minimum engagement of $10,000. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Addepto or Sigma Software Group?
Sigma Software Group 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 Sigma Software Group?
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.. Sigma Software Group's primary differentiator is: snowflake ai data cloud partnership combined with unusually broad industry diversification (adtech through aviation to gaming).. They also differ in team size (51–200 vs 1,001–5,000), minimum engagement ($10,000 vs $10,000), and primary industries served (Finance, Healthcare vs AdTech, Automotive).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.