Best Machine Learning Agencies

DATAFOREST vs Keyrus: full comparison for 2026

Last updated: July 2026

Quick verdict

DATAFOREST (4.0/5) edges ahead of Keyrus (3.8/5) overall. DATAFOREST is the better choice for uS and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings. Keyrus is the stronger option for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience. The right choice depends on your project size, budget, and required tech stack.

DATAFOREST vs Keyrus: head-to-head summary

Criterion DATAFOREST Keyrus
Founded 2017 2000
HQ Kyiv, Ukraine Paris, France
Team size 50–100 3,500+
Rating 4.0 / 5 3.8 / 5
Best for US and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings International enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience
Pricing model Fixed project, T&M T&M, retainer
Min. engagement $8K+ $50K+
Primary tech stack Python, Apache Spark, AWS Python, Tableau, Power BI
Industries served saas, fintech, retail, healthcare, logistics financial, retail, healthcare, manufacturing, media

DATAFOREST vs Keyrus: overview

DATAFOREST

DATAFOREST was founded in 2017 and is headquartered in Kyiv, Ukraine. The company specialises in custom AI software development, data engineering, and data lake architecture, with projects ranging from $8,000 to $460,000 (per Clutch profile data). DATAFOREST holds a 4.9-star Clutch rating across 27 verified reviews and an A+ DesignRush rating, with clients primarily in the US and EU. Services include ETL pipelines, data lake build-outs, predictive analytics, and ML model development. (Project range and ratings from Clutch and DesignRush verified profiles.)

Keyrus

Keyrus is an international consulting group founded in 2000, headquartered in Paris, France, and operating in over 20 countries with 3,500+ professionals. The company positions itself at the intersection of business, data, and AI — helping clients move from experimental AI to industrial-grade ML systems in production. Services span data strategy, BI, analytics, AI testing, and ML deployment. (Employee count and global footprint per Keyrus official website.)

Services and capabilities: DATAFOREST vs Keyrus

Capability DATAFOREST Keyrus
Custom ML build
ML consulting
Computer vision
NLP / LLM
Predictive analytics
MLOps
Data engineering
Generative AI
Staff augmentation
Fixed-price projects
Dedicated team model

Tech stack comparison: DATAFOREST vs Keyrus

Framework / platform DATAFOREST Keyrus
Python
TensorFlow N/A N/A
PyTorch N/A N/A
AWS SageMaker N/A N/A
Azure ML N/A N/A

Pricing comparison: DATAFOREST vs Keyrus

Criterion DATAFOREST Keyrus
Minimum engagement $8K+ $50K+
Engagement models Fixed project, T&M T&M, Retainer, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: DATAFOREST vs Keyrus

Dimension DATAFOREST Keyrus
Best company size Startup to mid-market Startup to mid-market
Best industries saas, fintech, retail financial, retail, healthcare
Best use cases Data lake architecture and build-out, ETL pipeline for analytics platform Industrial AI deployment at enterprise scale, Analytics and ML platform for financial services
Typical project type Fixed project T&M

DATAFOREST vs Keyrus: pros and cons

DATAFOREST
+ 4.9-star Clutch rating across 27 verified client reviews
+ Projects start from $8K — one of the most accessible entry points in the category
+ Strong data engineering: data lakes, ETL pipelines, Airflow orchestration
+ Transparent project scoping and pricing
+ A+ DesignRush rating
- Smaller team limits very large concurrent programmes
- Ukraine-based delivery carries geographic risk considerations for some clients
Keyrus
+ Global footprint: 20+ countries, 3,500+ professionals
+ Industrial-AI focus — moves clients from PoC to production scale
+ Strong analytics and BI alongside ML for full data stack coverage
+ AI testing and validation capability
- Large-firm pricing not suited to startup or SMB budgets
- AI is one offering within broader data consulting — not ML-first

Who should choose DATAFOREST?

DATAFOREST is the right choice for uS and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings.

4.9-star Clutch rating across 27 verified reviews — one of the highest-rated AI firms in Eastern Europe. Minimum engagement starts at $8K+. Works best with clients in saas, fintech, retail, healthcare, logistics.

Who should choose Keyrus?

Keyrus is the right choice for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience.

From experimental AI to industrial AI — consulting group specialising in productionising ML for large organisations. Minimum engagement starts at $50K+. Works best with clients in financial, retail, healthcare, manufacturing, media.

Decision matrix: DATAFOREST vs Keyrus

Your situation Recommended choice
You need full-ownership delivery on a defined project scope DATAFOREST
You need a large dedicated team for an ongoing programme Keyrus
Your budget is at the lower end DATAFOREST
You need specialist depth in a specific vertical DATAFOREST
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build DATAFOREST

Use case fit: DATAFOREST vs Keyrus

Use case DATAFOREST fit Keyrus fit Winner
Data lake architecture and build-out Strong Strong Both equally
ETL pipeline for analytics platform Strong Limited DATAFOREST
Industrial AI deployment at enterprise scale Limited Strong Keyrus
Analytics and ML platform for financial services Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: DATAFOREST vs Keyrus

DATAFOREST (4.0/5) is the stronger overall choice for most Machine Learning projects. 4.9-star Clutch rating across 27 verified reviews — one of the highest-rated AI firms in Eastern Europe. It is best for uS and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings.

Keyrus (3.8/5) is the better choice when international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience. If your situation matches those criteria, Keyrus is a competitive option.

Related comparisons

DATAFOREST vs Keyrus FAQ

Is DATAFOREST better than Keyrus?

DATAFOREST (4.0/5) scores higher overall, but "better" depends on your use case. DATAFOREST is better for uS and EU companies seeking competitively priced custom AI and data engineering with verified Clutch ratings. Keyrus is better for international enterprises seeking a global data and AI consulting partner with industrial-AI implementation experience.

How do DATAFOREST and Keyrus differ in pricing?

DATAFOREST uses fixed project, t&m pricing with a minimum engagement of $8K+. Keyrus uses t&m, retainer pricing with a minimum engagement of $50K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: DATAFOREST or Keyrus?

DATAFOREST is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.

What are the main differences between DATAFOREST and Keyrus?

DATAFOREST's primary differentiator is: 4.9-star clutch rating across 27 verified reviews — one of the highest-rated ai firms in eastern europe. Keyrus's primary differentiator is: from experimental ai to industrial ai — consulting group specialising in productionising ml for large organisations. They also differ in team size (50–100 vs 3,500+), minimum engagement ($8K+ vs $50K+), and primary industries served (saas, fintech vs financial, retail).

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