Invisible
Enterprise AI operations platform for data preparation, workflow automation, evaluations, agents, and expert-supported model improvement.
About Invisible
Invisible is an enterprise AI operations platform that turns company data and manual processes into deployable workflows. The modular system covers data preparation, process mapping, expert work, model evaluation, and custom agents. Teams can configure it around existing systems and proprietary data rather than adopting a fixed, standalone workflow. The platform addresses back-office automation, computer vision, and contact-center intelligence, including messy document ingestion, multi-step approvals, human review, annotation, quality evaluation, and real-time assistance. Computer-vision deployments can run on premises or in secure environments without a cloud dependency. Invisible is sold through a demo-led subscription rather than public self-service tiers, so buyers should expect discovery, solution design, and commercial discussion before rollout. This makes it best suited to enterprises with complex operations, sensitive data, or edge cases that justify tailored implementation and ongoing human oversight.
Best for
Best use cases
Automating document-heavy back-office processes
Training and validating computer-vision models
Applying continuous quality analysis in contact centers
Compare before choosing
Choose it over fixed SaaS when workflows require tailored logic and human checkpoints
Consider simpler tools when a standard self-service workflow is sufficient
Compare deployment, integration, and service scope because pricing is tailored
Features
Automate exception-heavy back-office work
Extract and normalize data from scanned documents, email, and varied invoice formats, then route multi-step approvals and uncertain cases for human review.
Build and operate computer-vision systems
Train and fine-tune models with domain experts, manage annotations, run evaluations and QA, and deploy in on-premises or secure environments.
Improve contact-center operations
Unify interaction context, score calls at scale, surface sentiment and risk signals, assist agents, and provide managers with operational dashboards.
Pros
- Supports messy inputs, complex approval logic, and human checkpoints in one workflow
- Can fit existing systems and proprietary data instead of forcing a fixed operating model
- Offers on-premises or secure computer-vision deployment for tighter data control
Cons
- Demo-led custom pricing makes early budget comparison slower
- Tailored implementation requires discovery and integration work before value is realized
- The enterprise scope may be excessive for teams needing a simple self-service automation tool
Pricing Plans
Enterprise subscription
- Configurable deployment on an existing stack
- Data preparation and process automation
- Expert-supported evaluations and human review
- Custom agents and secure deployment options
* Pricing information is for reference only. Please refer to the latest announcement on Invisible's official website.