Dataroots vs Data Pilot: full comparison for 2026
Quick verdict
Dataroots (3.8/5) edges ahead of Data Pilot (3.6/5) overall. Dataroots is the better choice for benelux enterprises that need ML and data engineers inside their own teams. Data Pilot is the stronger option for small budgets that need a data and ML team from Pakistan. The right choice depends on your project size, budget, and required tech stack.
Dataroots vs Data Pilot: head-to-head summary
| Criterion | Dataroots | Data Pilot |
|---|---|---|
| Founded | 2016 | 2021 |
| HQ | Leuven, Belgium | Lahore, Pakistan |
| Team size | 100+ (at 2022 acquisition) | 10–49 |
| Rating | 3.8 / 5 | 3.6 / 5 |
| Primary differentiator | Benelux data platform specialists backed by Talan's wider consulting group | Low-cost data and ML team that can also manage the developers it sources |
| Pricing model | Consultant day rates; rates on request | Project or monthly team pricing; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, dbt, Databricks | Python, dbt, Snowflake |
| Industries served | Financial services, Public sector, Retail, Energy | Marketing technology, Retail, SaaS |
Dataroots vs Data Pilot: overview
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.
Data Pilot
Data Pilot is a young Lahore company, founded in 2021 by CEO Adeel Mankee and CTO Ali Mojiz, that describes itself as a data product development and consulting firm. It has 10–50 people and works on AI consulting, generative AI and analytics. In the one case study that matters for staffing, a social media analytics company hired Data Pilot to find and manage several machine learning developers for a B2B SaaS build. Staffing is not a stated service line, so treat it as an option you have to ask for.
Services and capabilities: Dataroots vs Data Pilot
| Capability | Dataroots | Data Pilot |
|---|---|---|
| LLM / GenAI engineers | ✗ | ✓ |
| AI agent development | ✗ | ✗ |
| MLOps & deployment | ✓ | ✗ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Data engineering | ✓ | ✓ |
| Fractional / part-time experts | ✗ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Forward-deployed engineers | ✗ | ✗ |
| Access to a wider AI talent network | ✗ | ✗ |
Tech stack comparison: Dataroots vs Data Pilot
| Framework / platform | Dataroots | Data Pilot |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | N/A |
| Databricks | ✓ | N/A |
| MLflow | ✓ | N/A |
Pricing comparison: Dataroots vs Data Pilot
| Criterion | Dataroots | Data Pilot |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineers, Project delivery | Embedded team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Dataroots vs Data Pilot
| Dimension | Dataroots | Data Pilot |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Public sector, Retail | Marketing technology, Retail, SaaS |
| Best use cases | Placing data engineers in a Belgian bank's platform team, Building an MLOps setup on Azure | Sourcing ML developers for a SaaS analytics build, Setting up a dbt and Snowflake data stack |
| Typical project type | Dedicated engineers | Embedded team |
Dataroots vs Data Pilot: pros and cons
| Dataroots | |
|---|---|
| + | Strong data platform skills to go with ML work |
| + | Talan backing adds capacity across Europe |
| + | Leuven and Ghent offices put it close to Benelux clients |
| - | Owned by Talan since December 2022, so it no longer operates independently |
| - | Mainly a Benelux business |
| - | Staffing model details are not published |
| Data Pilot | |
|---|---|
| + | Low-cost delivery from Pakistan |
| + | Will manage the engineers it sources |
| + | Covers data engineering and analytics as well as ML |
| - | Only one documented staffing engagement |
| - | Founded in 2021, so its track record is short |
| - | Pakistan hours give limited overlap with the Americas |
Who should choose Dataroots?
A typical fit: placing data engineers in a Belgian bank's platform team.
Benelux data platform specialists backed by Talan's wider consulting group. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Public sector, Retail, Energy.
Who should choose Data Pilot?
A typical fit: sourcing ML developers for a SaaS analytics build.
Low-cost data and ML team that can also manage the developers it sources. Minimum engagement is not publicly disclosed. Works best with clients in Marketing technology, Retail, SaaS.
Decision matrix: Dataroots vs Data Pilot
| Your situation | Recommended choice |
|---|---|
| You need one AI specialist part-time | Neither advertises part-time experts; ask about reduced hours |
| You need several engineers working as one team | Dataroots |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: Dataroots (Not published) vs Data Pilot (Not published) |
| You need engineers deployed inside your organization | Data Pilot |
| You need specialist depth in a specific vertical | Dataroots |
Use case fit: Dataroots vs Data Pilot
| Use case | Dataroots fit | Data Pilot fit | Winner |
|---|---|---|---|
| Placing data engineers in a Belgian bank's platform team | Strong | Limited | Dataroots |
| Building an MLOps setup on Azure | Strong | Strong | Both equally |
| Sourcing ML developers for a SaaS analytics build | Limited | Strong | Data Pilot |
| Setting up a dbt and Snowflake data stack | Limited | Strong | Data Pilot |
Verdict: Dataroots vs Data Pilot
Dataroots (3.8/5) is the stronger overall choice for most AI-Native Staff Augmentation projects. Benelux data platform specialists backed by Talan's wider consulting group.
Data Pilot (3.6/5) is worth a look if you need setting up a dbt and Snowflake data stack. If your situation matches that, Data Pilot is a competitive option.
Related comparisons
Dataroots vs Data Pilot FAQ
Is Dataroots better than Data Pilot?
Dataroots (3.8/5) scores higher overall, but "better" depends on your use case. Dataroots's strongest advantage: strong data platform skills to go with ML work. Data Pilot's strongest advantage: low-cost delivery from Pakistan.
How do Dataroots and Data Pilot differ in pricing?
Dataroots uses consultant day rates; rates on request pricing. Data Pilot uses project or monthly team pricing; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Dataroots or Data Pilot?
Dataroots 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 Dataroots and Data Pilot?
Dataroots's primary differentiator is: benelux data platform specialists backed by Talan's wider consulting group. Data Pilot's primary differentiator is: low-cost data and ML team that can also manage the developers it sources. They also differ in team size (100+ (at 2022 acquisition) vs 10–49), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Public sector vs Marketing technology, Retail).
Verify all details directly with each company before making a decision.