Index.dev vs Andela: full comparison for 2026
Quick verdict
Index.dev (4.5/5) edges ahead of Andela (3.9/5) overall. Index.dev is the better choice for startups that want their money back if the first month doesn't work. Andela is the stronger option for companies buying long-term remote engineers at lower cost, with some AI roles in the mix. The right choice depends on your project size, budget, and required tech stack.
Index.dev vs Andela: head-to-head summary
| Criterion | Index.dev | Andela |
|---|---|---|
| Founded | 2019 | 2014 |
| HQ | London, United Kingdom | New York, USA |
| Team size | 30,000+ network | 300–500 staff; large engineer marketplace |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Primary differentiator | A refundable 30-day trial on every placement, plus direct hire | Monthly marketplace or managed-team buying with assessments from its Woven acquisition |
| Pricing model | Monthly rate per engineer; direct-hire fee; 30-day refundable trial; rates on request | Monthly per engineer; marketplace and managed options; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, LangChain | Python, TensorFlow, PyTorch |
| Industries served | SaaS, Fintech, E-commerce, AI labs, Healthcare | Technology, Financial services, Media, Healthcare, Retail |
Index.dev vs Andela: overview
Index.dev
Index.dev, legally Index Soft Limited, is a London talent platform that its job ads date to 2019. Its buying terms are the clearest of any network here: every placement carries a 30-day trial with a full refund if the match fails. You can contract one engineer, build a dedicated offshore team or hire someone directly. The main pool of more than 30,000 engineers sits in Latin America and Central and Eastern Europe, and a separate AI unit supplies Master's and PhD-level people for fine-tuning and retrieval work. Vetting runs through five stages with human reviewers.
Andela
Andela, founded in 2014 and now headquartered in New York, places engineers from Africa, Latin America and elsewhere on monthly terms. In January 2026 it bought Woven, a technical assessment company, and it runs an AI Academy that has trained engineers in AI coding with GitHub. For a buyer, Andela offers lower cost than U.S. hiring and a choice between marketplace placements and managed teams. Its pool is mainly general software talent, so AI specialists are a smaller share.
Services and capabilities: Index.dev vs Andela
| Capability | Index.dev | Andela |
|---|---|---|
| Full-time dedicated engineers | ✓ | ✓ |
| Part-time / fractional experts | ✗ | ✗ |
| Dedicated team | ✓ | ✓ |
| Trial before commitment | ✓ | ✗ |
| Published rates | ✗ | ✗ |
| Direct hire option | ✓ | ✗ |
| Subscription or output-based pricing | ✗ | ✗ |
| Nearshore time-zone overlap | ✓ | ✗ |
| LLM / GenAI engineers | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✗ | ✓ |
Tech stack comparison: Index.dev vs Andela
| Framework / platform | Index.dev | Andela |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Index.dev vs Andela
| Criterion | Index.dev | Andela |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated, Dedicated team, Direct hire, Trial period | Full-time dedicated, Dedicated team, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Index.dev vs Andela
| Dimension | Index.dev | Andela |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | Technology, Financial services, Media |
| Best use cases | Trialling a Latin American LLM engineer for a month, Hiring a PhD-level specialist to fine-tune a model | Adding a remote data engineer for a long roadmap, Building a managed team with one ML engineer |
| Typical project type | Full-time dedicated | Full-time dedicated |
Index.dev vs Andela: pros and cons
| Index.dev | |
|---|---|
| + | A full refund in the first 30 days lowers the cost of a bad match |
| + | Contract and direct-hire routes from one provider |
| + | Talent in both U.S.-friendly and European time zones |
| - | Engineers are network members, not employees |
| - | Acceptance-rate figures are the company's own |
| - | No published monthly rates |
| Andela | |
|---|---|
| + | Lower cost than U.S. hiring |
| + | Marketplace and managed options |
| + | New assessment tooling from Woven |
| - | AI specialists are a minority of the pool |
| - | No public rates |
| - | Effect of the Woven deal is still unproven |
Who should choose Index.dev?
A typical fit: trialling a Latin American LLM engineer for a month.
A refundable 30-day trial on every placement, plus direct hire. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, AI labs, Healthcare.
Who should choose Andela?
A typical fit: adding a remote data engineer for a long roadmap.
Monthly marketplace or managed-team buying with assessments from its Woven acquisition. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Financial services, Media, Healthcare, Retail.
Decision matrix: Index.dev vs Andela
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Both; Index.dev rates higher overall |
| You only need a specialist a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You want to test an engineer before committing | Index.dev |
| You need a rate before the first call | Neither publishes rates; ask both for a written rate card |
| Your budget is at the lower end | Compare: Index.dev (Not published) vs Andela (Not published) |
| You may want to hire the engineer permanently later | Index.dev |
| You want several engineers working as one team | Andela |
Use case fit: Index.dev vs Andela
| Use case | Index.dev fit | Andela fit | Winner |
|---|---|---|---|
| Trialling a Latin American LLM engineer for a month | Strong | Limited | Index.dev |
| Hiring a PhD-level specialist to fine-tune a model | Strong | Limited | Index.dev |
| Adding a remote data engineer for a long roadmap | Limited | Strong | Andela |
| Building a managed team with one ML engineer | Limited | Strong | Andela |
Verdict: Index.dev vs Andela
Index.dev (4.5/5) is the stronger overall choice for most AI Staff Augmentation projects. A refundable 30-day trial on every placement, plus direct hire.
Andela (3.9/5) is worth a look if you need building a managed team with one ML engineer. If your situation matches that, Andela is a competitive option.
Related comparisons
Index.dev vs Andela FAQ
Is Index.dev better than Andela?
Index.dev (4.5/5) scores higher overall, but "better" depends on your use case. Index.dev's strongest advantage: a full refund in the first 30 days lowers the cost of a bad match. Andela's strongest advantage: lower cost than U.S. hiring.
How do Index.dev and Andela differ in pricing?
Index.dev uses monthly rate per engineer; direct-hire fee; 30-day refundable trial; rates on request pricing. Andela uses monthly per engineer; marketplace and managed options; 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: Index.dev or Andela?
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 provider before shortlisting.
What are the main differences between Index.dev and Andela?
Index.dev's primary differentiator is: a refundable 30-day trial on every placement, plus direct hire. Andela's primary differentiator is: monthly marketplace or managed-team buying with assessments from its Woven acquisition. They also differ in team size (30,000+ network vs 300–500 staff; large engineer marketplace), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Technology, Financial services).
Verify all details directly with each provider before making a decision.