Sigma Software Group vs Modus Create: full comparison for 2026
Last updated: July 2026
Quick verdict
Sigma Software Group (4.1/5) edges ahead of Modus Create (4.0/5) overall. Sigma Software Group is the better choice for companies wanting a large, diversified engineering group with a Snowflake-certified data platform practice underlying ML delivery.. Modus Create is the stronger option for distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery.. The right choice depends on your project size, budget, and required tech stack.
Sigma Software Group vs Modus Create: head-to-head summary
| Criterion | Sigma Software Group | Modus Create |
|---|---|---|
| Founded | 2002 | 2011 |
| HQ | Stockholm, Sweden (engineering hub: Kharkiv, Ukraine) | Reston, USA |
| Team size | 1,001–5,000 | 501–1,000 |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Best for | Companies wanting a large, diversified engineering group with a Snowflake-certified data platform practice underlying ML delivery. | Distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery. |
| Pricing model | Time & Material, Fixed project | Not published; project and dedicated team |
| Min. engagement | $10,000 | Not published |
| Primary tech stack | Snowflake, Python, Cloud ML platforms (AWS/Azure/GCP) | Python, AWS, Data governance tooling |
| Industries served | AdTech, Automotive, Aviation, Gaming, Telecom, FinTech, PropTech | Technology/SaaS, Retail, Healthcare |
Sigma Software Group vs Modus Create: overview
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.
Modus Create
Modus Create is a fully remote, distributed product engineering company founded in 2011 and headquartered in Reston, Virginia, with team members spread across more than 55 countries. The company's AI/ML and data engineering practice includes AI Strategy Roadmap assessments and AI Data Foundation assessments intended to ensure underlying data is reliable and properly governed before or alongside model development work. Modus Create has partnered with technology providers including Atlassian, GitHub, and AWS, and has been recognized on the Inc. 5000 list for nine consecutive years.
Services and capabilities: Sigma Software Group vs Modus Create
| Capability | Sigma Software Group | Modus Create |
|---|---|---|
| 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: Sigma Software Group vs Modus Create
| Framework / platform | Sigma Software Group | Modus Create |
|---|---|---|
| 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: Sigma Software Group vs Modus Create
| Criterion | Sigma Software Group | Modus Create |
|---|---|---|
| Minimum engagement | $10,000 | Not published |
| Engagement models | Time & Material, Fixed project, Dedicated team | Fixed project, Dedicated team, Assessment/audit engagement |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Sigma Software Group vs Modus Create
| Dimension | Sigma Software Group | Modus Create |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | AdTech, Automotive, Aviation | Technology/SaaS, Retail, Healthcare |
| Best use cases | 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 | Running an AI Data Foundation assessment before committing to a full model-development engagement, Building an AI strategy roadmap for an organization new to machine learning adoption |
| Typical project type | Time & Material | Fixed project |
Sigma Software Group vs Modus Create: pros and cons
| 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. |
| Modus Create | |
|---|---|
| + | Structured AI Data Foundation assessment reduces risk of building models on ungoverned or unreliable data. |
| + | Fully remote, globally distributed team (55+ countries) offers broad timezone coverage. |
| + | Nine consecutive years on the Inc. 5000 list signals sustained growth. |
| + | Technology partnerships with Atlassian, GitHub, and AWS support integrated delivery tooling. |
| - | AI/ML is one of several product engineering service lines rather than the company's sole specialization. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Pricing model and minimum engagement are not published. |
| - | Fully remote delivery model may not suit buyers who prefer localized or on-site teams. |
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.
Who should choose Modus Create?
Modus Create is the right choice for distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery..
Structured AI Data Foundation assessment methodology that explicitly evaluates data readiness before committing to model development.. Minimum engagement starts at Not published. Works best with clients in Technology/SaaS, Retail, Healthcare.
Decision matrix: Sigma Software Group vs Modus Create
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Sigma Software Group |
| You need a large dedicated team for an ongoing programme | Sigma Software Group |
| Your budget is at the lower end | Compare: Sigma Software Group ($10,000) vs Modus Create (Not published) |
| 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 | Modus Create |
Use case fit: Sigma Software Group vs Modus Create
| Use case | Sigma Software Group fit | Modus Create fit | Winner |
|---|---|---|---|
| Building a Snowflake-based data platform to support ML model training and serving | Strong | Strong | Both equally |
| Running an anomaly detection or forecasting project for AdTech, gaming, or telecom clients | Strong | Strong | Both equally |
| Running an AI Data Foundation assessment before committing to a full model-development engagement | Strong | Strong | Both equally |
| Building an AI strategy roadmap for an organization new to machine learning adoption | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: Sigma Software Group vs Modus Create
Sigma Software Group (4.1/5) is the stronger overall choice for most ML Model Development projects. Snowflake AI Data Cloud partnership combined with unusually broad industry diversification (AdTech through aviation to gaming).. It is best for companies wanting a large, diversified engineering group with a Snowflake-certified data platform practice underlying ML delivery..
Modus Create (4.0/5) is the better choice when distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery.. If your situation matches those criteria, Modus Create is a competitive option.
Related comparisons
Sigma Software Group vs Modus Create FAQ
Is Sigma Software Group better than Modus Create?
Sigma Software Group (4.1/5) scores higher overall, but "better" depends on your use case. Sigma Software Group is better for companies wanting a large, diversified engineering group with a Snowflake-certified data platform practice underlying ML delivery.. Modus Create is better for distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery..
How do Sigma Software Group and Modus Create differ in pricing?
Sigma Software Group uses time & material, fixed project pricing with a minimum engagement of $10,000. Modus Create uses not published; project and 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: Sigma Software Group or Modus Create?
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 Sigma Software Group and Modus Create?
Sigma Software Group's primary differentiator is: snowflake ai data cloud partnership combined with unusually broad industry diversification (adtech through aviation to gaming).. Modus Create's primary differentiator is: structured ai data foundation assessment methodology that explicitly evaluates data readiness before committing to model development.. They also differ in team size (1,001–5,000 vs 501–1,000), minimum engagement ($10,000 vs Not published), and primary industries served (AdTech, Automotive vs Technology/SaaS, Retail).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.