Best AI Consulting Agencies

Coherent Solutions vs DataArt: full comparison for 2026

Quick verdict

Coherent Solutions (3.9/5) edges ahead of DataArt (3.9/5) overall. Coherent Solutions is the better choice for enterprises wanting AI advisory with a choice of global delivery locations. DataArt is the stronger option for enterprises in finance or healthcare needing AI advisory at global scale. The right choice depends on your project size, budget, and required tech stack.

Coherent Solutions vs DataArt: head-to-head summary

Criterion Coherent Solutions DataArt
Founded 1995 1997
HQ Minneapolis, United States New York, United States
Team size 2,200 5,700+
Rating 3.9 / 5 3.9 / 5
Primary differentiator A nine-country offshore delivery network built over three decades Nearly 30 years of engineering history across 30-plus global delivery locations
Pricing model Dedicated team or retainer Dedicated team or retainer
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, AWS, Azure Python, AWS, Azure
Industries served Financial services, Healthcare, Manufacturing Financial services, Healthcare, Media & entertainment, Travel & hospitality

Coherent Solutions vs DataArt: overview

Coherent Solutions

Coherent Solutions was founded in 1995 by Igor Epshteyn in Minneapolis, Minnesota, and reported roughly 2,200 employees as of 2023. The company runs offshore development offices across Belarus, Bulgaria, Moldova, Mexico, Lithuania, Ukraine, Romania, Georgia, and Poland. Its core identity is software product development and advisory, with AI work delivered as part of that established practice rather than marketed as a dedicated AI unit.

DataArt

DataArt goes back to 1997, founded by Eugene Goland, and is headquartered in New York City with roughly 5,700 employees spread across more than 30 locations. The firm delivers data, analytics, and AI advisory for finance, media and entertainment, healthcare, retail, and travel and hospitality clients. Nearly three decades of history give it a longer track record than almost every other agency here, though AI advisory is delivered as part of a broader software engineering practice.

Services and capabilities: Coherent Solutions vs DataArt

Capability Coherent Solutions DataArt
AI strategy consulting
Generative AI
Machine learning
Data engineering
MLOps
Fixed-price projects
Dedicated team model

Tech stack comparison: Coherent Solutions vs DataArt

Framework / platform Coherent Solutions DataArt
Python
AWS
Azure
Google Cloud N/A N/A
Kubernetes N/A
LangChain N/A N/A
PyTorch N/A N/A

Pricing comparison: Coherent Solutions vs DataArt

Criterion Coherent Solutions DataArt
Minimum engagement Not disclosed Not disclosed
Engagement models Dedicated team, Retainer Dedicated team, Retainer
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Coherent Solutions vs DataArt

Dimension Coherent Solutions DataArt
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare, Manufacturing Financial services, Healthcare, Media & entertainment
Best use cases Running an AI advisory engagement that benefits from a nine-country delivery network., Needing US-based contracting with offshore cost structures for a long-term engagement. Getting an AI strategy assessment for finance or healthcare clients with strict compliance needs., Running a long-term AI advisory and data engineering program with a financially established vendor.
Typical project type Dedicated team Dedicated team

Coherent Solutions vs DataArt: pros and cons

Coherent Solutions
+ A nine-country delivery footprint gives clients unusual flexibility on cost and timezone coverage.
+ Nearly three decades of software product development history.
+ 2,200 employees support mid-to-large enterprise engagements.
+ A US headquarters simplifies contracting while delivery stays cost-competitive offshore.
- AI advisory is delivered inside an established general software practice, not as a dedicated agency
- Less AI-specific marketing and case-study depth than agencies built around AI from the start
DataArt
+ Nearly three decades of software engineering history, among the longest reviewed here.
+ 5,700-plus employees across 30-plus locations globally.
+ Named industry focus areas (finance, healthcare, travel) show real vertical depth.
+ Data and analytics platform experience supports AI advisory grounded in solid data foundations.
- AI advisory sits inside a much broader software engineering practice rather than being the agency's core identity
- Enterprise scale typically means slower onboarding than smaller, more agile AI boutiques

Who should choose Coherent Solutions?

A typical fit: running an AI advisory engagement that benefits from a nine-country delivery network.

A nine-country offshore delivery network built over three decades. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Manufacturing.

Who should choose DataArt?

A typical fit: getting an AI strategy assessment for finance or healthcare clients with strict compliance needs.

Nearly 30 years of engineering history across 30-plus global delivery locations. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Media & entertainment, Travel & hospitality.

Decision matrix: Coherent Solutions vs DataArt

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Both offer fixed-price models
You need a large dedicated team for an ongoing programme Coherent Solutions
Your budget is at the lower end Compare: Coherent Solutions (Not disclosed) vs DataArt (Not disclosed)
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 Coherent Solutions

Use case fit: Coherent Solutions vs DataArt

Use case Coherent Solutions fit DataArt fit Winner
Running an AI advisory engagement that benefits from a nine-country delivery network. Strong Strong Both equally
Needing US-based contracting with offshore cost structures for a long-term engagement. Strong Strong Both equally
Getting an AI strategy assessment for finance or healthcare clients with strict compliance needs. Strong Strong Both equally
Running a long-term AI advisory and data engineering program with a financially established vendor. Strong Strong Both equally
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: Coherent Solutions vs DataArt

Coherent Solutions (3.9/5) is the stronger overall choice for most AI Consulting projects. A nine-country offshore delivery network built over three decades.

DataArt (3.9/5) is worth a look if you need running a long-term AI advisory and data engineering program with a financially established vendor. If your situation matches that, DataArt is a competitive option.

Related comparisons

Coherent Solutions vs DataArt FAQ

Is Coherent Solutions better than DataArt?

Coherent Solutions (3.9/5) scores higher overall, but "better" depends on your use case. Coherent Solutions's strongest advantage: a nine-country delivery footprint gives clients unusual flexibility on cost and timezone coverage. DataArt's strongest advantage: nearly three decades of software engineering history, among the longest reviewed here.

How do Coherent Solutions and DataArt differ in pricing?

Coherent Solutions uses dedicated team or retainer pricing. DataArt uses dedicated team or retainer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Coherent Solutions or DataArt?

DataArt 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 Coherent Solutions and DataArt?

Coherent Solutions's primary differentiator is: a nine-country offshore delivery network built over three decades. DataArt's primary differentiator is: nearly 30 years of engineering history across 30-plus global delivery locations. They also differ in team size (2,200 vs 5,700+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Healthcare).

Verify all details directly with each agency before making a decision.