InData Labs vs Index.dev: full comparison for 2026
Quick verdict
InData Labs (4.4/5) edges ahead of Index.dev (4.2/5) overall. InData Labs is the better choice for product teams that need a computer-vision or NLP engineer with shipped work in that exact area. Index.dev is the stronger option for startups that want a 30-day refundable trial before committing to a remote ML engineer. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Index.dev: head-to-head summary
| Criterion | InData Labs | Index.dev |
|---|---|---|
| Founded | 2014 | 2019 |
| HQ | Nicosia, Cyprus | London, United Kingdom |
| Team size | 50–100 | 30,000+ network |
| Rating | 4.4 / 5 | 4.2 / 5 |
| Primary differentiator | Ten years of computer-vision and NLP delivery in an AI-only company | A 30-day trial with full refund on every placement |
| Pricing model | Dedicated team billed monthly; projects from under $50,000 to over $100,000 (Clutch); rates on request | Monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | Retail, Healthcare, Fintech, Media, Manufacturing | SaaS, Fintech, E-commerce, Healthcare, AI labs |
InData Labs vs Index.dev: overview
InData Labs
InData Labs has worked on data science and AI since 2014 and is registered in Nicosia, Cyprus, with an office in Singapore. Clutch lists dedicated teams and staff augmentation among its core services, next to generative AI, computer vision and predictive analytics, and the company reports more than 150 delivered projects. It is an AWS partner. Directories put the team at roughly 70 to 80 people, all working on AI and data, so the people who interview candidates are practitioners in the same field. Computer vision and natural language processing are where its case studies are strongest.
Index.dev
Index.dev is a London company, founded in 2019 according to its own job ads, trading under the legal name Index Soft Limited. It calls itself an AI-first engineering talent platform. Its main network has more than 30,000 engineers in Latin America and Central and Eastern Europe, and a separate AI unit supplies Master's and PhD-level people for LLM fine-tuning and RAG work. Every engineer goes through five stages of vetting run by people, including a live screening call and technical validation, and Index.dev says about 1% are accepted. All placements come with a 30-day trial and a full refund if the match fails.
Services and capabilities: InData Labs vs Index.dev
| Capability | InData Labs | Index.dev |
|---|---|---|
| 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: InData Labs vs Index.dev
| Framework / platform | InData Labs | Index.dev |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | ✓ |
| Hugging Face | ✓ | ✓ |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | N/A | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: InData Labs vs Index.dev
| Criterion | InData Labs | Index.dev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Project delivery | Dedicated engineer, Dedicated team, Direct hire, Trial period |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InData Labs vs Index.dev
| Dimension | InData Labs | Index.dev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Healthcare, Fintech | SaaS, Fintech, E-commerce |
| Best use cases | Adding a computer-vision engineer to a retail shelf-analytics product, Staffing an NLP specialist for document classification | Trialling a Latin American ML engineer for a month before committing, Hiring a PhD-level specialist to fine-tune an open-source LLM |
| Typical project type | Dedicated engineer | Dedicated engineer |
InData Labs vs Index.dev: pros and cons
| InData Labs | |
|---|---|
| + | Computer vision and NLP are core skills, not side offerings |
| + | Every engineer works in AI or data, so candidates are vetted by peers |
| + | AWS partner status helps on SageMaker-heavy projects |
| - | Small, with directory counts between 67 and 80 people |
| - | Sources disagree on the headquarters (Cyprus or Miami) |
| - | No published hourly rate |
| Index.dev | |
|---|---|
| + | The 30-day refundable trial is the most generous published trial on this page |
| + | A separate AI unit for advanced work such as fine-tuning |
| + | Clients can hire directly as well as contract |
| - | Vetting is human-led but not specifically run by ML engineers |
| - | Network figures and acceptance rates are company claims |
| - | Founding date only appears in job listings |
Who should choose InData Labs?
A typical fit: adding a computer-vision engineer to a retail shelf-analytics product.
Ten years of computer-vision and NLP delivery in an AI-only company. Minimum engagement is not publicly disclosed. Works best with clients in Retail, Healthcare, Fintech, Media, Manufacturing.
Who should choose Index.dev?
A typical fit: trialling a Latin American ML engineer for a month before committing.
A 30-day trial with full refund on every placement. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, Healthcare, AI labs.
Decision matrix: InData Labs vs Index.dev
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | InData Labs |
| 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 | InData Labs |
| You want to test an engineer before committing | Index.dev |
| Your budget is at the lower end | Compare: InData Labs (Not published) vs Index.dev (Not published) |
| Your team works U.S. hours | Index.dev |
| You may want to hire the engineer permanently later | Index.dev |
Use case fit: InData Labs vs Index.dev
| Use case | InData Labs fit | Index.dev fit | Winner |
|---|---|---|---|
| Adding a computer-vision engineer to a retail shelf-analytics product | Strong | Limited | InData Labs |
| Staffing an NLP specialist for document classification | Strong | Limited | InData Labs |
| Trialling a Latin American ML engineer for a month before committing | Limited | Strong | Index.dev |
| Hiring a PhD-level specialist to fine-tune an open-source LLM | Limited | Strong | Index.dev |
Verdict: InData Labs vs Index.dev
InData Labs (4.4/5) is the stronger overall choice for most AI Engineer Staffing projects. Ten years of computer-vision and NLP delivery in an AI-only company.
Index.dev (4.2/5) is worth a look if you need hiring a PhD-level specialist to fine-tune an open-source LLM. If your situation matches that, Index.dev is a competitive option.
Related comparisons
InData Labs vs Index.dev FAQ
Is InData Labs better than Index.dev?
InData Labs (4.4/5) scores higher overall, but "better" depends on your use case. InData Labs's strongest advantage: computer vision and NLP are core skills, not side offerings. Index.dev's strongest advantage: the 30-day refundable trial is the most generous published trial on this page.
How do InData Labs and Index.dev differ in pricing?
InData Labs uses dedicated team billed monthly; projects from under $50,000 to over $100,000 (clutch); rates on request pricing. Index.dev uses monthly rate per engineer; direct-hire fee option; 30-day trial with refund; 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: InData Labs or Index.dev?
InData Labs 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 InData Labs and Index.dev?
InData Labs's primary differentiator is: ten years of computer-vision and NLP delivery in an AI-only company. Index.dev's primary differentiator is: a 30-day trial with full refund on every placement. They also differ in team size (50–100 vs 30,000+ network), minimum engagement (Not published vs Not published), and primary industries served (Retail, Healthcare vs SaaS, Fintech).
Verify all details directly with each company before making a decision.