Best Machine Learning Agencies

DataArt vs Acropolium: full comparison for 2026

Last updated: July 2026

Quick verdict

DataArt (3.9/5) edges ahead of Acropolium (3.8/5) overall. DataArt is the better choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. Acropolium is the stronger option for saaS companies and mid-market startups needing ML features integrated within a custom software product build. The right choice depends on your project size, budget, and required tech stack.

DataArt vs Acropolium: head-to-head summary

Criterion DataArt Acropolium
Founded 1997 2001
HQ New York, NY Kyiv, Ukraine
Team size 5,700+ 50–100
Rating 3.9 / 5 3.8 / 5
Best for Enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth SaaS companies and mid-market startups needing ML features integrated within a custom software product build
Pricing model T&M, dedicated team Fixed project, T&M
Min. engagement $50K+ $15K+
Primary tech stack Python, TensorFlow, PyTorch Python, scikit-learn, AWS
Industries served fintech, healthcare, travel, media, retail saas, healthcare, logistics, retail, fintech

DataArt vs Acropolium: overview

DataArt

DataArt was founded in 1997 by Eugene Goland and is headquartered in New York, with offices across 15 global locations and 5,700+ employees. The company delivers AI and ML services — predictive analytics, NLP, data mining, and computer vision — alongside broader software engineering for clients in fintech, healthcare, and travel. DataArt was named an Inc. 5000 honoree in 2024. ML is one service line among many in DataArt's broad software engineering portfolio. (Employee count and founding year per DataArt Wikipedia and official website.)

Acropolium

Acropolium is a bespoke software development company with over 22 years of experience, partnering with SaaS companies, tech startups, and mid-market enterprises. The company integrates ML and AI capabilities into digital product builds, with demonstrated strength in backend architecture and modern AI tooling. (Founded year estimated from '22+ years' claim on official website; service profile per Acropolium official website and DesignRush.)

Services and capabilities: DataArt vs Acropolium

Capability DataArt Acropolium
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: DataArt vs Acropolium

Framework / platform DataArt Acropolium
Python
TensorFlow N/A
PyTorch N/A
AWS SageMaker N/A N/A
Azure ML N/A N/A

Pricing comparison: DataArt vs Acropolium

Criterion DataArt Acropolium
Minimum engagement $50K+ $15K+
Engagement models T&M, Dedicated team, Retainer Fixed project, T&M
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: DataArt vs Acropolium

Dimension DataArt Acropolium
Best company size Startup to mid-market Startup to mid-market
Best industries fintech, healthcare, travel saas, healthcare, logistics
Best use cases ML feature integration into existing fintech platform, Travel recommendation engine ML feature within SaaS product (e.g., recommendations, scoring), Custom software build with embedded AI capabilities
Typical project type T&M Fixed project

DataArt vs Acropolium: pros and cons

DataArt
+ 5,700+ engineers — sufficient capacity for large parallel programmes
+ 29 years of software delivery history — low company risk
+ Strong fintech and travel sector domain depth
+ Inc. 5000 2024 — verified revenue growth
+ 15 global offices for enterprise procurement alignment
- ML is one practice among many — not a pure ML specialist
- Minimum engagement and overhead suited to enterprise, not startups
- Large firm processes can reduce speed relative to boutique ML agencies
Acropolium
+ 22-year product engineering track record — low delivery risk
+ ML integrated within product builds — not a standalone model shop
+ SaaS and startup-friendly engagement model
+ Accessible pricing for mid-market budgets
- Ukraine-based delivery carries geographic risk considerations for some clients
- Smaller team limits large-scale data engineering or MLOps programmes

Who should choose DataArt?

DataArt is the right choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth.

1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ML and software in fintech and travel. Minimum engagement starts at $50K+. Works best with clients in fintech, healthcare, travel, media, retail.

Who should choose Acropolium?

Acropolium is the right choice for saaS companies and mid-market startups needing ML features integrated within a custom software product build.

22 years of bespoke product engineering — ML as a product feature, not a standalone model delivery. Minimum engagement starts at $15K+. Works best with clients in saas, healthcare, logistics, retail, fintech.

Decision matrix: DataArt vs Acropolium

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

Use case fit: DataArt vs Acropolium

Use case DataArt fit Acropolium fit Winner
ML feature integration into existing fintech platform Strong Strong Both equally
Travel recommendation engine Strong Limited DataArt
ML feature within SaaS product (e.g., recommendations, scoring) Strong Strong Both equally
Custom software build with embedded AI capabilities Limited Strong Acropolium
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: DataArt vs Acropolium

DataArt (3.9/5) is the stronger overall choice for most Machine Learning projects. 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ML and software in fintech and travel. It is best for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth.

Acropolium (3.8/5) is the better choice when saaS companies and mid-market startups needing ML features integrated within a custom software product build. If your situation matches those criteria, Acropolium is a competitive option.

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DataArt vs Acropolium FAQ

Is DataArt better than Acropolium?

DataArt (3.9/5) scores higher overall, but "better" depends on your use case. DataArt is better for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. Acropolium is better for saaS companies and mid-market startups needing ML features integrated within a custom software product build.

How do DataArt and Acropolium differ in pricing?

DataArt uses t&m, dedicated team pricing with a minimum engagement of $50K+. Acropolium uses fixed project, t&m pricing with a minimum engagement of $15K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: DataArt or Acropolium?

Acropolium 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 DataArt and Acropolium?

DataArt's primary differentiator is: 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ml and software in fintech and travel. Acropolium's primary differentiator is: 22 years of bespoke product engineering — ml as a product feature, not a standalone model delivery. They also differ in team size (5,700+ vs 50–100), minimum engagement ($50K+ vs $15K+), and primary industries served (fintech, healthcare vs saas, healthcare).

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