Best AI-Native Staff Augmentation Companies

Dataroots

Belgian AI and data platform consultancy, part of the Talan group since 2022

Founded 2016 | Leuven, Belgium | 100+ (at 2022 acquisition) employees
data-engineeringml-engineersmlopsdedicated-teams

What is Dataroots?

Bart Smeets founded Dataroots in Leuven in 2016, and it grew into a team of more than 100 ML engineers, data engineers and data architects. Talan, the French consultancy, acquired it in December 2022 and folded it into a data practice of over 800 consultants. Staffing appears among its listed services, and Belgian clients use Dataroots consultants inside their own data teams. Its work centers on AI and next-generation data platforms.

Dataroots works primarily with clients in Financial services, Public sector, Retail, Energy sectors. Its primary differentiator is: Benelux data platform specialists backed by Talan's wider consulting group.

Dataroots tech stack and services

PythondbtDatabricksSnowflakeAzureAWSTerraformMLflow
Service area
Data Engineering
ML Engineers
MLOps
Dedicated Teams

Dataroots pricing

Short answer: Dataroots uses a consultant day rates; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.

Engagement model Typical range Best for
Dedicated engineers Variable; depends on team size Large programmes or team augmentation
Project delivery Variable; depends on team size Large programmes or team augmentation
Dataroots does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

Dataroots pros and cons

Advantages Things to consider
+Strong data platform skills to go with ML work -Owned by Talan since December 2022, so it no longer operates independently
+Talan backing adds capacity across Europe -Mainly a Benelux business
+Leuven and Ghent offices put it close to Benelux clients -Staffing model details are not published

Dataroots vs alternatives

How Dataroots compares to the other top AI-Native Staff Augmentation companies.

Company Best for Key difference Rating Compare
Quantiphi Enterprises that need several AI specialists at once... A multi-thousand-person AI and data bench with a named staffing program run with AWS 4.6 Full comparison
Tensorway Product teams that want senior AI engineers inside... Senior AI engineers run the screening, and knowledge transfer to in-house staff is part of every engagement 4.5 Full comparison
deepsense.ai Long MLOps or computer-vision engagements that need senior... A decade of ML-only delivery, with multi-year augmentation clients on record 4.4 Full comparison
Fusemachines Mid-market and enterprise buyers who want AI engineers... Its own AI education program feeds the engineering bench 4.3 Full comparison
InData Labs Buyers who want an R&D-minded data science team... Research-led data science with a dedicated-team option 4.2 Full comparison
Sigmoid CPG and retail data teams that need ML... Requirement-by-requirement split between project work and monthly staff augmentation 4.2 Full comparison
Data Science UA Companies building a Ukrainian AI team they will... Recruiting from Ukraine's largest AI community, with managed teams as an option 4.1 Full comparison
Algoscale Budget-conscious teams that need data engineers and ML... Data consulting experience bundled into staff augmentation, plus a free trial 4.1 Full comparison
Kanerika Enterprises modernizing data platforms that want onshore, nearshore... Three delivery models under one contract, from Austin, Argentina and India 4.0 Full comparison
Vstorm Teams whose agent prototype works in a demo... Senior agent engineers who join an existing team to fix reliability and integration 4.0 Full comparison
Fuzzy Labs UK data science teams, including public sector, that... Open-source MLOps specialists with security-cleared engineers for government work 4.0 Full comparison
Tribe AI Companies that want senior AI engineers and product... A curated network of senior AI practitioners deployed inside the client's organization 4.0 Full comparison
Addepto Industrial and automotive companies adding AI and data... AI-heavy team with manufacturing domain experience, now backed by a larger group 3.9 Full comparison
Neurons Lab Banks and insurers that need agentic AI engineers... Financial-services AI with AWS GenAI competency and forward-deployed engineers 3.9 Full comparison
Merantix Momentum German industrial companies that want an outside ML... Operates as a company's ML function, backed by the Merantix AI ecosystem 3.9 Full comparison
Sciforce Healthcare and scientific data projects that need NLP... Medical and scientific data experience in a small AI-first firm 3.9 Full comparison
Pento U.S. startups and mid-market firms that want nearshore... AI-only engineering from Uruguay with full U.S. working-hour overlap 3.9 Full comparison
DataToBiz Analytics teams that need BI and data science... Fast placement of data and BI specialists with AI skills 3.8 Full comparison
Sigmoidal U.S. companies that want a small ML team... Data-centric ML specialists with a staff augmentation model for long engagements 3.8 Full comparison
Omdena Startups and mission-driven organizations that want to see... Challenge-based vetting where engineers solve your real problem before you hire 3.8 Full comparison
micro1 Startups that want vetted remote AI developers quickly,... AI-run vetting at volume plus employer-of-record payroll 3.8 Full comparison
BroutonLab Startups that need a PhD-level data scientist part-time... Fractional deep learning experts at a published hourly rate 3.7 Full comparison
Experfy Enterprises that want a private, pre-vetted pool of... Private talent clouds with expert vetting and employer-of-record cover 3.7 Full comparison
Dataforest Companies that need data engineers who can also... Data engineering depth with AI agent work on top 3.7 Full comparison
BotsCrew Companies adding chatbot or voice-agent engineers to a... Nearly a decade of conversational AI work, now with U.S. ownership 3.7 Full comparison
Brainpool AI Buyers who need a rare academic AI specialist... Academic-heavy expert network across 23 countries 3.6 Full comparison
Mercor AI labs and companies that need evaluation or... AI interviewing that can screen very large candidate pools quickly 3.6 Full comparison
Data Pilot Small budgets that need a data and ML... Low-cost data and ML team that can also manage the developers it sources 3.6 Full comparison

Dataroots FAQ

What is Dataroots?

Belgian AI and data platform consultancy, part of the Talan group since 2022

How much does Dataroots charge?

Dataroots uses consultant day rates; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.

What tech stack does Dataroots use?

Dataroots works with Python, dbt, Databricks, Snowflake, Azure, AWS, Terraform, MLflow. Primary industries served include Financial services, Public sector, Retail, Energy.

Is Dataroots right for enterprise?

Benelux enterprises that need ML and data engineers inside their own teams. 100+ (at 2022 acquisition) team size. Key consideration: Owned by Talan since December 2022, so it no longer operates independently.

What are the best Dataroots alternatives?

The best alternatives to Dataroots depend on your use case. Top options are:

  • Quantiphi: a multi-thousand-person ai and data bench with a named staffing program run with aws
  • Tensorway: senior ai engineers run the screening, and knowledge transfer to in-house staff is part of every engagement
  • deepsense.ai: a decade of ml-only delivery, with multi-year augmentation clients on record
See full alternatives list

Compare Dataroots with other AI-Native Staff Augmentation companies

Verify all details directly with Dataroots before making a decision.