Invisible helps enterprises make AI work by transforming messy data, building workflow tools, training custom AI agents, and ensuring the entire system is statistically evaluated and measured.
Invisible makes AI work.
Our modular platform adapts models to each business and adds human expertise when needed, the same approach used to improve models for over 80% of the world's top AI companies.
The platform covers the full AI deployment lifecycle through five purpose-built modules:
Neuron (data platform) cleans and unifies multi-source data so it's ready for AI
Atomic (process builder) documents manual and complex workflows for automation
Meridial (AI training) sources elite domain experts on demand with a secure interface built for production-quality data delivery
Synapse (evals) runs rigorous model evaluations for quality, safety, and accuracy
Axon (agents) builds governed agents that mirror your workflows.
Forward-deployed engineers use these modules to build custom solutions for any AI use case. For a global retail brand, that meant a demand forecasting system that improved demand accuracy by 2x. For an NBA team, it meant computer vision analytics that validated season-changing draft picks. For a financial services company, it meant contact center intelligence that increased quality coverage to 100% of calls.
Whatever the use case, Invisible brings the infrastructure and expertise to move from data to model to outcome.
Highlights
Outcomes in weeks, not months: What takes most teams 12-18 months to build, we deliver in weeks.
One platform with continuous improvement: When the landscape shifts, your platform improves automatically. No rebuilding. No re-risking your investment.
An AI foundation for infinite scale: A flexible platform that sits across your entire stack, so you can expand to any workflow or use case over time.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract pricing splits into two separate charges. The AI training fee bills per hour, so your cost scales with the number of training hours you use. The platform fee is a separate charge for use of the Invisible Platform itself. Together, these two dimensions form your total contract cost: one tied to hourly training activity, the other covering platform access. The platform supports annotation, model training, and evaluation work delivered through the vendor's expert network.
Top-of-mind questions for buyers
What does the per-hour AI training fee actually measure?
It meters the time experts and the platform spend on your training work. This covers annotation, model training, and evaluation delivered through the vendor's expert network. Your cost rises with the number of training hours used, so lighter workloads accrue fewer hours and heavier ones accrue more.
How do the per-hour fee and platform fee combine on my bill?
Both charges bill independently and appear on the same contract. The platform fee covers access to the Invisible Platform itself. The per-hour training fee scales with hours worked. For variable training volume, the hourly charge tends to drive most of your cost, while the platform fee stays fixed.
Does the platform fee change if I run more or fewer training hours?
No. The platform fee is a separate charge for use of the Invisible Platform and does not track training hours. Only the per-hour training fee moves with the hours you use. The two charges are metered independently.
www.invisibletech.ai
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"The DARPA Invisible Headlights Dataset is a large-scale multi-sensor dataset annotated for autonomous, off-road navigation in challenging off-road environments. It features simultaneously collected off-road imagery from multispectral, hyperspectral, polarimetric, and broadband sensors spanning wave-lengths from the visible spectrum to long-wave infrared and provides aligned LIDAR data for ground-truth shape. Camera calibrations, LiDAR registrations, and traversability annotations for a subset of the data are available."
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