Andela vs Addepto: full comparison for 2026
Quick verdict
Andela (4.1/5) edges ahead of Addepto (4.0/5) overall. Andela is the better choice for companies building a long-term remote engineering group outside the U.S. that includes some ML roles. Addepto is the stronger option for industrial and automotive companies that need data engineers who know factory data. The right choice depends on your project size, budget, and required tech stack.
Andela vs Addepto: head-to-head summary
| Criterion | Andela | Addepto |
|---|---|---|
| Founded | 2014 | 2017 |
| HQ | New York, USA | Warsaw, Poland |
| Team size | 300–500 staff; large engineer marketplace | 50–249 |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy | Data and ML engineers with industrial and automotive client history |
| Pricing model | Monthly rate per engineer; marketplace and managed options; rates on request | Monthly per engineer or project fee; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Databricks, Spark |
| Industries served | Technology, Financial services, Media, Healthcare, Retail | Manufacturing, Automotive, Aviation, Retail, Logistics |
Andela vs Addepto: overview
Andela
Andela started in 2014 in Lagos and is now headquartered in New York, running a private marketplace of engineers from Africa, Latin America and other regions. In January 2026 it acquired Woven, a company that builds technical assessments, to strengthen how it checks real engineering ability. It also runs an AI Academy and in 2025 committed to training 3,000 technologists in AI coding with GitHub. Profile counts in the six figures are unverified. Andela suits companies that want long-term remote engineers at lower cost than U.S. hiring, with screening that is becoming more rigorous but is still largely general software assessment.
Addepto
Addepto was founded in Warsaw in 2017 and works on AI, ML and data engineering, mostly for industrial and automotive clients. KMS Technology acquired it in December 2025, so it now sits inside a larger U.S.-based IT group. Addepto supplies data and ML engineers for team extension as well as running projects. The acquisition may widen its bench over time, but buyers should expect changes to contracts and account management as the integration proceeds.
Services and capabilities: Andela vs Addepto
| Capability | Andela | Addepto |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✓ |
| AI agent developers | ✗ | ✗ |
| MLOps engineers | ✗ | ✗ |
| Computer vision engineers | ✗ | ✗ |
| NLP engineers | ✗ | ✗ |
| Data engineers | ✓ | ✓ |
| Engineer-led technical screen | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
| Direct hire option | ✗ | ✗ |
Tech stack comparison: Andela vs Addepto
| Framework / platform | Andela | Addepto |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Andela vs Addepto
| Criterion | Andela | Addepto |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Freelance contract | Dedicated engineer, Dedicated team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Andela vs Addepto
| Dimension | Andela | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, Financial services, Media | Manufacturing, Automotive, Aviation |
| Best use cases | Hiring a remote data engineer for a long product roadmap, Adding an ML engineer to an existing Andela-staffed team | Adding a data engineer to an automotive analytics platform, Building a predictive maintenance model with a two-person team |
| Typical project type | Dedicated engineer | Dedicated engineer |
Andela vs Addepto: pros and cons
| Andela | |
|---|---|
| + | Woven's assessments test practical engineering rather than quiz answers |
| + | Strong in Africa and Latin America, with lower rates than U.S. hiring |
| + | Trains its own engineers in AI tooling |
| - | The Woven integration is new, so its effect on ML vetting is unproven |
| - | Most of the pool is general software talent, not ML specialists |
| - | Network-size figures come from secondary sources |
| Addepto | |
|---|---|
| + | Strong data engineering on Databricks and Azure |
| + | Industrial and automotive references |
| + | Backing from a larger group may add capacity |
| - | Acquired by KMS Technology in December 2025, so terms and contacts may change |
| - | Fewer computer-vision and NLP specialists than AI-research firms |
| - | Staffing evidence is thinner than its project work |
Who should choose Andela?
A typical fit: hiring a remote data engineer for a long product roadmap.
Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Financial services, Media, Healthcare, Retail.
Who should choose Addepto?
A typical fit: adding a data engineer to an automotive analytics platform.
Data and ML engineers with industrial and automotive client history. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Automotive, Aviation, Retail, Logistics.
Decision matrix: Andela vs Addepto
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Neither documents an engineer-led screen; run your own technical interview |
| You need one specialist for a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You need several engineers working as one team | Both; Andela rates higher overall |
| 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: Andela (Not published) vs Addepto (Not published) |
| Your team works U.S. hours | Neither lists Latin American engineers; confirm overlap hours in the contract |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
Use case fit: Andela vs Addepto
| Use case | Andela fit | Addepto fit | Winner |
|---|---|---|---|
| Hiring a remote data engineer for a long product roadmap | Strong | Limited | Andela |
| Adding an ML engineer to an existing Andela-staffed team | Strong | Strong | Both equally |
| Adding a data engineer to an automotive analytics platform | Strong | Strong | Both equally |
| Building a predictive maintenance model with a two-person team | Strong | Strong | Both equally |
Verdict: Andela vs Addepto
Andela (4.1/5) is the stronger overall choice for most AI Engineer Staffing projects. Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy.
Addepto (4.0/5) is worth a look if you need building a predictive maintenance model with a two-person team. If your situation matches that, Addepto is a competitive option.
Related comparisons
Andela vs Addepto FAQ
Is Andela better than Addepto?
Andela (4.1/5) scores higher overall, but "better" depends on your use case. Andela's strongest advantage: Woven's assessments test practical engineering rather than quiz answers. Addepto's strongest advantage: strong data engineering on Databricks and Azure.
How do Andela and Addepto differ in pricing?
Andela uses monthly rate per engineer; marketplace and managed options; rates on request pricing. Addepto uses monthly per engineer or project fee; 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: Andela or Addepto?
Andela 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 Andela and Addepto?
Andela's primary differentiator is: assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy. Addepto's primary differentiator is: data and ML engineers with industrial and automotive client history. They also differ in team size (300–500 staff; large engineer marketplace vs 50–249), minimum engagement (Not published vs Not published), and primary industries served (Technology, Financial services vs Manufacturing, Automotive).
Verify all details directly with each company before making a decision.