Vstorm vs Harnham: full comparison for 2026
Quick verdict
Vstorm (4.2/5) edges ahead of Harnham (3.7/5) overall. Vstorm is the better choice for teams whose LLM agent prototype needs engineers who have shipped agents before. Harnham is the stronger option for companies hiring permanent data or ML staff in the UK or U.S. through a specialist agency. The right choice depends on your project size, budget, and required tech stack.
Vstorm vs Harnham: head-to-head summary
| Criterion | Vstorm | Harnham |
|---|---|---|
| Founded | 2017 | 2006 |
| HQ | Wrocław, Poland | London, United Kingdom |
| Team size | 10–49 | 100–500 |
| Rating | 4.2 / 5 | 3.7 / 5 |
| Primary differentiator | A team that works almost entirely on LLM agents and RAG | Twenty years of recruiting only in data and analytics |
| Pricing model | $100–$149/hr (Clutch band); team extension or project billing | Placement fee for permanent hires; contractor day or hourly rates; rates on request |
| Min. engagement | $10,000+ | Not published |
| Primary tech stack | Python, LangChain, LlamaIndex | Python, SQL, Spark |
| Industries served | SaaS, Legal, Financial services, Healthcare, Retail | Financial services, Retail, Healthcare, Media, Technology |
Vstorm vs Harnham: overview
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.
Harnham
Harnham has recruited for data and analytics roles since 2006 from London, with offices in the U.S. including New York and San Francisco. It places data engineers, data scientists and ML engineers on contract or permanent terms and runs a graduate training arm, Rockborne. As a recruitment agency, it screens through consultants who specialise in data hiring rather than through practising engineers, and contractors are not managed after placement the way a staffing firm's employees are. That makes it better for permanent hires than for managed augmentation.
Services and capabilities: Vstorm vs Harnham
| Capability | Vstorm | Harnham |
|---|---|---|
| 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: Vstorm vs Harnham
| Framework / platform | Vstorm | Harnham |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Databricks | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Vstorm vs Harnham
| Criterion | Vstorm | Harnham |
|---|---|---|
| Minimum engagement | $10,000+ | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Project delivery | Direct hire, Contract-to-hire, Freelance contract |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Vstorm vs Harnham
| Dimension | Vstorm | Harnham |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Legal, Financial services | Financial services, Retail, Healthcare |
| Best use cases | Rescuing an agent that fails on multi-step tool calls, Adding a RAG engineer to improve retrieval quality | Hiring a permanent head of data science in London, Placing a contract data engineer for six months |
| Typical project type | Dedicated engineer | Direct hire |
Vstorm vs Harnham: pros and cons
| 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 |
| Harnham | |
|---|---|
| + | Long specialist history in data recruiting |
| + | Offices in the UK and several U.S. cities |
| + | Both contract and permanent hiring |
| - | Screening by recruitment consultants, not engineers |
| - | Contractors are not managed after placement |
| - | Headcount estimates vary |
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.
Who should choose Harnham?
A typical fit: hiring a permanent head of data science in London.
Twenty years of recruiting only in data and analytics. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail, Healthcare, Media, Technology.
Decision matrix: Vstorm vs Harnham
| 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 | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: Vstorm ($10,000+) vs Harnham (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 | Harnham |
Use case fit: Vstorm vs Harnham
| Use case | Vstorm fit | Harnham fit | Winner |
|---|---|---|---|
| Rescuing an agent that fails on multi-step tool calls | Strong | Limited | Vstorm |
| Adding a RAG engineer to improve retrieval quality | Strong | Limited | Vstorm |
| Hiring a permanent head of data science in London | Limited | Strong | Harnham |
| Placing a contract data engineer for six months | Limited | Strong | Harnham |
Verdict: Vstorm vs Harnham
Vstorm (4.2/5) is the stronger overall choice for most AI Engineer Staffing projects. A team that works almost entirely on LLM agents and RAG.
Harnham (3.7/5) is worth a look if you need placing a contract data engineer for six months. If your situation matches that, Harnham is a competitive option.
Related comparisons
Vstorm vs Harnham FAQ
Is Vstorm better than Harnham?
Vstorm (4.2/5) scores higher overall, but "better" depends on your use case. Vstorm's strongest advantage: verified Clutch score of 4.9 with a published rate band. Harnham's strongest advantage: long specialist history in data recruiting.
How do Vstorm and Harnham differ in pricing?
Vstorm uses $100–$149/hr (clutch band); team extension or project billing pricing with a minimum engagement of $10,000+. Harnham uses placement fee for permanent hires; contractor day or hourly rates; 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: Vstorm or Harnham?
Harnham 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 Vstorm and Harnham?
Vstorm's primary differentiator is: a team that works almost entirely on LLM agents and RAG. Harnham's primary differentiator is: twenty years of recruiting only in data and analytics. They also differ in team size (10–49 vs 100–500), minimum engagement ($10,000+ vs Not published), and primary industries served (SaaS, Legal vs Financial services, Retail).
Verify all details directly with each company before making a decision.