Platform comparison
Hire Unicorn Developers vs Turing
Automated vetting at scale versus evidence-based human review. The trade-off is throughput against depth.
Turing uses largely automated vetting to match developers at scale, drawing from a very large global applicant pool. We use human evidence-based review across fewer roles. Turing suits volume staffing needs; we suit specialist hires where assessment depth matters more than pipeline size.
How Turing actually works
Turing's model is built around scale. The company sources from a very large global developer pool and leans heavily on automated assessment — tests, structured evaluation and algorithmic matching — to filter that volume down to candidates for a given role. For an organisation that needs to staff many similar positions, that machinery is a genuine advantage.
Automated vetting has a known limitation, and it is not that tests are useless. It is that tests measure what is easy to measure. Whether an engineer designs a tool schema that fails safely, or knows when to push a customer-specific hack back into the core product, is not something a scored exercise captures well. Those judgements show up in a conversation with someone who has done the work — which is slower, does not scale as cleanly, and is the trade-off we have deliberately chosen.
Side by side
| Dimension | Turing | Hire Unicorn Developers |
|---|---|---|
| Vetting method | Largely automated assessment at scale | Human review of work samples plus structured interviews |
| Pool size | Very large global applicant pool | Deliberately smaller, role-specific |
| Matching | Algorithmic matching | Deterministic scoring with a visible breakdown |
| Role definition | Broad software engineering categories | Fourteen precisely defined roles |
| AI-native specialisation | General AI/ML categories | AI agent, RAG and LLMOps assessed separately |
| Circular economy / DPP | Not a defined category | A first-class specialism |
| Best for | Volume staffing across similar roles | Specialist hires where judgement is the differentiator |
When Turing is the better choice
- Staffing several similar roles quickly across a large programme
- Organisations comfortable trading assessment depth for pipeline volume
- Common role types where automated testing correlates reasonably well with performance
- Buyers who want a single vendor covering large-scale distributed team growth
When we are the better choice
- Individual specialist hires where the wrong person is expensive
- Roles where judgement matters more than measurable throughput
- AI-native and regulatory engineering that automated tests do not assess well
- Buyers who want to see the assessment evidence for each candidate
Frequently asked questions
Is automated vetting worse than human vetting?
Not worse — different. Automated assessment scales, is consistent, and measures well-defined skills reliably. Human review catches judgement, communication and design instinct that tests miss. For volume staffing the first matters more; for a single critical specialist hire the second usually does.
Which platform is faster?
Turing's automation generally produces candidates quickly at volume. For a single specialist role our shortlist typically arrives within two business days, which in practice is comparable. The larger difference is depth of evidence rather than elapsed time.
Can Turing supply Forward Deployed Engineers?
They can supply engineers with relevant backgrounds. The difficulty is that FDE performance depends on client-facing judgement and requirements archaeology, which automated assessment does not test. Identifying the right person therefore falls more heavily on your own interview process.
How do the rates compare?
Both sit in the mid-to-upper contract range and vary by region and seniority. We publish our bands openly by role. Turing quotes per engagement, so a direct comparison requires a specific role and location on both sides.
Should I use both?
Reasonably, yes. Volume staffing and specialist hiring are different problems. Using a scale-oriented platform for the former and a depth-oriented one for the latter is a coherent strategy rather than a contradiction.