Index.dev vs SciForce: full comparison for 2026
Quick verdict
Index.dev (4.2/5) edges ahead of SciForce (4.0/5) overall. Index.dev is the better choice for startups that want a 30-day refundable trial before committing to a remote ML engineer. SciForce is the stronger option for healthcare data teams that need NLP or data scientists familiar with medical data standards. The right choice depends on your project size, budget, and required tech stack.
Index.dev vs SciForce: head-to-head summary
| Criterion | Index.dev | SciForce |
|---|---|---|
| Founded | 2019 | 2015 |
| HQ | London, United Kingdom | Lviv, Ukraine (office in Tallinn, Estonia) |
| Team size | 30,000+ network | 50–99 |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | A 30-day trial with full refund on every placement | Medical data science experience plus a documented multi-year placement engagement |
| Pricing model | Monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request | Dedicated team billed monthly; projects quoted separately; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | SaaS, Fintech, E-commerce, Healthcare, AI labs | Healthcare, Financial services, Logistics, Agriculture, Education |
Index.dev vs SciForce: overview
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.
SciForce
SciForce has worked on AI and data science since 2015, with R&D offices in Lviv and Kharkiv and a representative office in Tallinn. Directories list 50 to 99 people. The clearest evidence of its staffing work is a Clutch review from a financial services IT director describing an engagement from January 2019 to February 2023 in which SciForce sourced and placed engineering talent and supplied a team of six to ten. Medical data science is a notable specialty, alongside NLP and logistics AI.
Services and capabilities: Index.dev vs SciForce
| Capability | Index.dev | SciForce |
|---|---|---|
| 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: Index.dev vs SciForce
| Framework / platform | Index.dev | SciForce |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | ✓ |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Index.dev vs SciForce
| Criterion | Index.dev | SciForce |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Direct hire, Trial period | Dedicated engineer, Dedicated team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Index.dev vs SciForce
| Dimension | Index.dev | SciForce |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | Healthcare, Financial services, Logistics |
| Best use cases | Trialling a Latin American ML engineer for a month before committing, Hiring a PhD-level specialist to fine-tune an open-source LLM | Adding an NLP engineer for clinical text extraction, Staffing a six-person data team for a financial client |
| Typical project type | Dedicated engineer | Dedicated engineer |
Index.dev vs SciForce: pros and cons
| 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 |
| SciForce | |
|---|---|
| + | A four-year augmentation engagement rated 5.0 on Clutch |
| + | Medical NLP and healthcare data experience |
| + | Lower cost base than Western European suppliers |
| - | Small team, with only a few engineers free at any time |
| - | Most staffing evidence comes from a single review |
| - | Wartime conditions in Ukraine need a continuity plan |
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.
Who should choose SciForce?
A typical fit: adding an NLP engineer for clinical text extraction.
Medical data science experience plus a documented multi-year placement engagement. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Logistics, Agriculture, Education.
Decision matrix: Index.dev vs SciForce
| 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 | SciForce |
| You want to test an engineer before committing | Index.dev |
| Your budget is at the lower end | Compare: Index.dev (Not published) vs SciForce (Not published) |
| Your team works U.S. hours | Index.dev |
| You may want to hire the engineer permanently later | Index.dev |
Use case fit: Index.dev vs SciForce
| Use case | Index.dev fit | SciForce fit | Winner |
|---|---|---|---|
| Trialling a Latin American ML engineer for a month before committing | Strong | Limited | Index.dev |
| Hiring a PhD-level specialist to fine-tune an open-source LLM | Strong | Limited | Index.dev |
| Adding an NLP engineer for clinical text extraction | Limited | Strong | SciForce |
| Staffing a six-person data team for a financial client | Limited | Strong | SciForce |
Verdict: Index.dev vs SciForce
Index.dev (4.2/5) is the stronger overall choice for most AI Engineer Staffing projects. A 30-day trial with full refund on every placement.
SciForce (4.0/5) is worth a look if you need staffing a six-person data team for a financial client. If your situation matches that, SciForce is a competitive option.
Related comparisons
Index.dev vs SciForce FAQ
Is Index.dev better than SciForce?
Index.dev (4.2/5) scores higher overall, but "better" depends on your use case. Index.dev's strongest advantage: the 30-day refundable trial is the most generous published trial on this page. SciForce's strongest advantage: a four-year augmentation engagement rated 5.0 on Clutch.
How do Index.dev and SciForce differ in pricing?
Index.dev uses monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request pricing. SciForce uses dedicated team billed monthly; projects quoted separately; 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 SciForce?
Index.dev 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 Index.dev and SciForce?
Index.dev's primary differentiator is: a 30-day trial with full refund on every placement. SciForce's primary differentiator is: medical data science experience plus a documented multi-year placement engagement. They also differ in team size (30,000+ network vs 50–99), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Healthcare, Financial services).
Verify all details directly with each company before making a decision.