Invisible Technologies review: a training data company that mobilizes experts fast
Answer in brief: Invisible Technologies is a strong contender for LLM post-training and enterprise fine-tuning when you need rare experts quickly, such as a quantum physicist, an oncology researcher or an Emirati Arabic linguist. Through its Meridial network it offers expert annotation, RLHF, agentic evaluation, RL environments, multimodal data, red-teaming and work in 80+ languages. It says it has trained foundation models for more than 80% of leading AI providers (a company claim), and it publishes a Cohere case study. Pricing is by demo. This review is independent research from public sources.
Best-for verdict: close alternative for enterprise fine-tuning and expert post-training. Visit Invisible Technologies →
What Invisible does for training data buyers
- Expert domain training: PhD-level and specialist experts mobilized across domains.
- Continuous model evaluation: step-based agentic workflows designed and graded by specialists.
- Internationalization: training and evaluation in 80+ languages.
- RL environments: enterprise workflow simulations covering code reasoning, tool use, quantitative analysis and communication.
- Multimodal data: generation and labeling by experts in 3D modeling, video annotation and audio engineering.
- Red-teaming and compliance: safety and policy-informed evaluations.
Who it fits
Invisible fits model builders and enterprises that need specialist reviewers fast, multilingual fine-tuning, or blind expert evaluation of a model against competitors.
Why it stands out
- A named case. For Cohere's Command A evaluation, Invisible sourced PhD-level experts in STEM, math, SQL, HR, retail and aviation for blind annotation. It reports a 51.7% average win rate, 91.5% on IFEval and 92% on RepoQA.
- Expert reach. Invisible advertises access to 22M+ global experts across 800+ domains and 110+ languages. That is a reach figure, not a count of active contractors.
- Named AI-training customers. Its case studies name Cohere, Thomson Reuters, Grubhub, Boosted.AI and You.com.
- Funding. It raised $100M in September 2025. Bloomberg reported a valuation above $2B.
The catches
- Split focus. Much of its business is enterprise automation and consulting, so confirm a dedicated data-lab team will staff your work.
- An undefined 80% claim. The denominator behind 80% of leading AI providers is not published.
- No public pricing.
Pricing
Custom. Request a demo.
Best alternatives to Invisible
- Scale AI, our enterprise fine-tuning winner.
- Toloka, our enterprise fine-tuning runner-up, which returns a fine-tuned small model.
- Mercor, for professional-domain experts at scale.
Invisible Technologies FAQ
What is Meridial?
Meridial is Invisible's expert network, which supplies vetted trainers for AI training and evaluation.
How many languages does Invisible support?
Invisible says it trains and evaluates models in 80+ languages.
Is Invisible's pricing public?
No. Pricing is custom, by demo.
Sources
- Invisible AI training
- Cohere case study
- Invisible human experts
- Invisible $100M announcement
- Bloomberg, September 2025
Visit Invisible Technologies →
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