Best ML Model Development Companies

Addepto vs MobiDev: full comparison for 2026

Last updated: July 2026

Quick verdict

Addepto (4.4/5) edges ahead of MobiDev (4.3/5) 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.. MobiDev is the stronger option for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.. The right choice depends on your project size, budget, and required tech stack.

Addepto vs MobiDev: head-to-head summary

Criterion Addepto MobiDev
Founded 2018 2009
HQ Warsaw, Poland Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine)
Team size 51–200 201–500
Rating 4.4 / 5 4.3 / 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. Small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.
Pricing model Project-based Time & Material, Fixed project
Min. engagement $10,000 Not published
Primary tech stack Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) Python, Computer vision frameworks, Cloud ML platforms
Industries served Finance, Healthcare, Retail Healthcare, Retail, Manufacturing, Media

Addepto vs MobiDev: 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.

MobiDev

MobiDev is a software development and consulting company founded in 2009, with business units in Norcross, Georgia (US) and Sheffield (UK), and R&D delivery centers in Lodz, Poland and Chernivtsi, Ukraine staffed by more than 400 engineers. Its consulting services span data science, machine learning, augmented reality, IoT, and DevOps, aimed at small and medium-sized companies rather than large enterprises. The company reports a 100 percent project success rate on Upwork and was named the #1 machine learning development company by Clutch in 2021.

Services and capabilities: Addepto vs MobiDev

Capability Addepto MobiDev
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 MobiDev

Framework / platform Addepto MobiDev
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
Snowflake N/A N/A
NVIDIA N/A N/A

Pricing comparison: Addepto vs MobiDev

Criterion Addepto MobiDev
Minimum engagement $10,000 Not published
Engagement models Fixed project, Advisory/consulting retainer Time & Material, Fixed project, Dedicated team
Rate transparency Minimum disclosed Not public
Price tier Accessible Mid-market

Target audience comparison: Addepto vs MobiDev

Dimension Addepto MobiDev
Best company size Startup to mid-market Startup to mid-market
Best industries Finance, Healthcare, Retail Healthcare, Retail, Manufacturing
Best use cases Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot Building a custom ML model for a small or medium-sized business without an internal data science team, Combining computer vision or ML work with broader mobile/IoT product development
Typical project type Fixed project Time & Material

Addepto vs MobiDev: 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.
MobiDev
+ Historical Clutch #1 ranking in machine learning development (2021).
+ 16 Clutch reviews with consistently positive delivery feedback.
+ Explicit focus on small/medium-sized clients, a niche underserved by larger enterprise-first firms.
+ Multi-country delivery footprint (Poland, Ukraine) with 400+ engineers provides meaningful bench depth.
- Team-size figures vary by source (roughly 200–500), indicating some reporting inconsistency.
- SME focus may mean less experience with very large, complex enterprise-scale ML platforms.
- Machine learning is one of several practice areas (alongside AR, IoT) rather than the sole focus.
- Minimum engagement size is not published, requiring a scoping conversation.

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 MobiDev?

MobiDev is the right choice for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner..

Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail, Manufacturing, Media.

Decision matrix: Addepto vs MobiDev

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

Use case Addepto fit MobiDev 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 custom ML model for a small or medium-sized business without an internal data science team Limited Strong MobiDev
Combining computer vision or ML work with broader mobile/IoT product development Limited Strong MobiDev
Fixed-price build Limited Limited Both equally
MLOps pipeline setup Strong Limited Addepto

Verdict: Addepto vs MobiDev

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..

MobiDev (4.3/5) is the better choice when small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.. If your situation matches those criteria, MobiDev is a competitive option.

Related comparisons

Addepto vs MobiDev FAQ

Is Addepto better than MobiDev?

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.. MobiDev is better for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner..

How do Addepto and MobiDev differ in pricing?

Addepto uses project-based pricing with a minimum engagement of $10,000. MobiDev uses time & material, fixed project 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 MobiDev?

MobiDev 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 MobiDev?

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.. MobiDev's primary differentiator is: historical clutch #1 ranking for machine learning development (2021) combined with a specifically sme-oriented service model.. They also differ in team size (51–200 vs 201–500), minimum engagement ($10,000 vs Not published), and primary industries served (Finance, Healthcare vs Healthcare, Retail).

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