Invisible Technologies review
Managed AI data work with strong proof of results, but pricing is scoped per project
Invisible Technologies earns 8.4/10 in this Invisible Technologies review, a managed provider of AI data work that leads on proof of results, output quality and ease of use. Pricing is quoted by sales and scoped per project (vendor-sourced), which holds pricing and value down, so it fits buyers who want a vendor to run scoped projects and not those who need published rates.
Invisible Technologies score breakdown
| Criterion | Weight | Score |
|---|---|---|
| Proof of results | 30% | 8.8/10 |
| Output quality | 25% | 8.7/10 |
| Ease of use | 15% | 8.8/10 |
| Pricing and value | 15% | 7.2/10 |
| Customer support | 10% | 7.8/10 |
| Security and compliance | 5% | 7.4/10 |
What Invisible Technologies is and who it is for
Invisible Technologies is headquartered in San Francisco and was founded in 2015 (third-party reported).
Invisible Technologies is a managed provider of AI data work: a buyer hands a scoped project to the vendor, and the vendor delivers it, instead of the buyer running a self-serve tool (vendor-sourced). For a related tool, see our Mercor review.
This review places it with teams that want a vendor to own delivery of AI data projects and are comfortable with scoped, quote-based engagements. Buyers who want a different engagement model can compare the whole category in the best AI data labs ranking.
What Invisible Technologies does
Invisible Technologies runs AI data work for buyers as a managed service: the vendor scopes each project with the buyer and delivers it, with no public product dashboard to configure (vendor-sourced).
In this review of the vendor, the managed model shows up as strong marks for turnaround and ease of use, 8.8/10 on both counts (third-party reported). Output quality scores 8.7/10, based on verifiable quality assurance signals in the public record (third-party reported). The security and compliance score of 7.4/10 reflects the compliance signals published by the vendor (vendor-sourced).
Invisible Technologies pricing
Pricing is quoted by sales and scoped per project (vendor-sourced). No public plan tiers or per-unit prices are listed, so total cost depends on project size and requirements. This is the main reason pricing and value scores 7.2/10, the lowest of the six criteria.
Invisible Technologies pros
- Trustpilot lists invisibletech.ai at 2.3/5 from 10 reviews (review platform).
- The listicle matrix scores turnaround at 8.8/10, the category lead on that criterion (third-party reported).
- Proof of results is the strongest criterion at 8.8/10 (third-party reported).
- The managed model means the vendor owns project delivery rather than the buyer assembling tools and workers (vendor-sourced).
Invisible Technologies cons
- Pricing is not published, so you cannot compare costs against other labs before requesting a quote (vendor-sourced).
- There is no public product dashboard, so buyers cannot configure or run work themselves (vendor-sourced).
- Total cost depends on project size and requirements, so the final cost can differ from any early estimate (vendor-sourced).
- Compliance scores 7.4/10 in the matrix, below regulated-vertical options such as iMerit (third-party reported).
How Invisible Technologies compares
- Surge AI: consider it when verifiable output quality leads the shortlist; the listicle composite is 8.6/10 with verifiable QA at 9.1/10 (third-party reported).
- Scale AI: consider it when peak capacity matters; the listicle panel records Scale usage at 9 out of 25 practitioners with value for money at 2.7 out of 5 on six battery completers (third-party reported).
Featured in: Best AI Data Labs 2026
Last researched: November 10, 2026.
Reviewed by Greylisting Team.
Invisible Technologies verdict
Invisible Technologies earns 8.4/10 as a managed provider for AI data work, with strong proof of results, output quality and turnaround. It does not publish prices, so you cannot budget from a public rate card, and its security and support scores trail its delivery scores. It is right for buyers who want a vendor to run scoped projects and are fine requesting a quote. It is not right for buyers who need transparent, self-serve pricing.