Index.dev vs Vstorm: full comparison for 2026
Quick verdict
Index.dev (4.2/5) edges ahead of Vstorm (4.2/5) overall. Index.dev is the better choice for startups that want a 30-day refundable trial before committing to a remote ML engineer. Vstorm is the stronger option for teams whose LLM agent prototype needs engineers who have shipped agents before. The right choice depends on your project size, budget, and required tech stack.
Index.dev vs Vstorm: head-to-head summary
| Criterion | Index.dev | Vstorm |
|---|---|---|
| Founded | 2019 | 2017 |
| HQ | London, United Kingdom | Wrocław, Poland |
| Team size | 30,000+ network | 10–49 |
| Rating | 4.2 / 5 | 4.2 / 5 |
| Primary differentiator | A 30-day trial with full refund on every placement | A team that works almost entirely on LLM agents and RAG |
| Pricing model | Monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request | $100–$149/hr (Clutch band); team extension or project billing |
| Min. engagement | Not published | $10,000+ |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, LangChain, LlamaIndex |
| Industries served | SaaS, Fintech, E-commerce, Healthcare, AI labs | SaaS, Legal, Financial services, Healthcare, Retail |
Index.dev vs Vstorm: 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.
Vstorm
Vstorm has been in business in Wrocław since 2017 and now builds almost nothing but LLM and agent software, including retrieval-augmented generation systems. Clutch shows an overall score of 4.9 from verified reviews, an hourly band of $100 to $149 and a $10,000 minimum project. The team is small, between 10 and 49 people on Clutch, so the engineers it lends out are the same people who build its own agent projects. That makes it a good source of agent expertise but a poor one for headcount.
Services and capabilities: Index.dev vs Vstorm
| Capability | Index.dev | Vstorm |
|---|---|---|
| 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 Vstorm
| Framework / platform | Index.dev | Vstorm |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | ✓ | ✓ |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Index.dev vs Vstorm
| Criterion | Index.dev | Vstorm |
|---|---|---|
| Minimum engagement | Not published | $10,000+ |
| Engagement models | Dedicated engineer, Dedicated team, Direct hire, Trial period | Dedicated engineer, Dedicated team, Project delivery |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Index.dev vs Vstorm
| Dimension | Index.dev | Vstorm |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | SaaS, Legal, Financial services |
| 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 | Rescuing an agent that fails on multi-step tool calls, Adding a RAG engineer to improve retrieval quality |
| Typical project type | Dedicated engineer | Dedicated engineer |
Index.dev vs Vstorm: 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 |
| Vstorm | |
|---|---|
| + | Verified Clutch score of 4.9 with a published rate band |
| + | Narrow focus on agents and RAG means deep, current experience |
| + | Engineers come from its own build team, not a recruiting pool |
| - | Small team, so only one or two engineers at a time |
| - | Higher hourly band than most Central European suppliers |
| - | Little classic ML, computer vision or data engineering |
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 Vstorm?
A typical fit: rescuing an agent that fails on multi-step tool calls.
A team that works almost entirely on LLM agents and RAG. Minimum engagement starts at $10,000+. Works best with clients in SaaS, Legal, Financial services, Healthcare, Retail.
Decision matrix: Index.dev vs Vstorm
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Vstorm |
| 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 | Neither lists dedicated teams; check team size before signing |
| You want to test an engineer before committing | Index.dev |
| Your budget is at the lower end | Compare: Index.dev (Not published) vs Vstorm ($10,000+) |
| 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 Vstorm
| Use case | Index.dev fit | Vstorm 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 |
| Rescuing an agent that fails on multi-step tool calls | Limited | Strong | Vstorm |
| Adding a RAG engineer to improve retrieval quality | Limited | Strong | Vstorm |
Verdict: Index.dev vs Vstorm
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.
Vstorm (4.2/5) is worth a look if you need adding a RAG engineer to improve retrieval quality. If your situation matches that, Vstorm is a competitive option.
Related comparisons
Index.dev vs Vstorm FAQ
Is Index.dev better than Vstorm?
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. Vstorm's strongest advantage: verified Clutch score of 4.9 with a published rate band.
How do Index.dev and Vstorm differ in pricing?
Index.dev uses monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request pricing. Vstorm uses $100–$149/hr (clutch band); team extension or project billing pricing with a minimum engagement of $10,000+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Index.dev or Vstorm?
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 Vstorm?
Index.dev's primary differentiator is: a 30-day trial with full refund on every placement. Vstorm's primary differentiator is: a team that works almost entirely on LLM agents and RAG. They also differ in team size (30,000+ network vs 10–49), minimum engagement (Not published vs $10,000+), and primary industries served (SaaS, Fintech vs SaaS, Legal).
Verify all details directly with each company before making a decision.