Best ML Model Development Companies

Addepto vs Modus Create: full comparison for 2026

Last updated: July 2026

Quick verdict

Addepto (4.4/5) edges ahead of Modus Create (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.. 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.

Addepto vs Modus Create: head-to-head summary

Criterion Addepto Modus Create
Founded 2018 2011
HQ Warsaw, Poland Reston, USA
Team size 51–200 501–1,000
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. Distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery.
Pricing model Project-based Not published; project and dedicated team
Min. engagement $10,000 Not published
Primary tech stack Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) Python, AWS, Data governance tooling
Industries served Finance, Healthcare, Retail Technology/SaaS, Retail, Healthcare

Addepto vs Modus Create: 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.

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: Addepto vs Modus Create

Capability Addepto 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: Addepto vs Modus Create

Framework / platform Addepto 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 N/A
NVIDIA N/A N/A

Pricing comparison: Addepto vs Modus Create

Criterion Addepto Modus Create
Minimum engagement $10,000 Not published
Engagement models Fixed project, Advisory/consulting retainer Fixed project, Dedicated team, Assessment/audit engagement
Rate transparency Minimum disclosed Not public
Price tier Accessible Mid-market

Target audience comparison: Addepto vs Modus Create

Dimension Addepto Modus Create
Best company size Startup to mid-market Mid-market to enterprise
Best industries Finance, Healthcare, Retail Technology/SaaS, Retail, Healthcare
Best use cases Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot 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 Fixed project Fixed project

Addepto vs Modus Create: 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.
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 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 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: Addepto vs Modus Create

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 Modus Create
Your budget is at the lower end Compare: Addepto ($10,000) vs Modus Create (Not published)
You need specialist depth in a specific vertical Addepto
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 Modus Create

Use case Addepto fit Modus Create 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
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 Limited Strong Modus Create
Fixed-price build Limited Limited Both equally
MLOps pipeline setup Strong Limited Addepto

Verdict: Addepto vs Modus Create

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..

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

Addepto vs Modus Create FAQ

Is Addepto better than Modus Create?

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.. Modus Create is better for distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery..

How do Addepto and Modus Create differ in pricing?

Addepto uses project-based 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: Addepto or Modus Create?

Modus Create 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 Modus Create?

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.. 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 (51–200 vs 501–1,000), minimum engagement ($10,000 vs Not published), and primary industries served (Finance, Healthcare vs Technology/SaaS, Retail).

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