udSDK pricing

Licensed per end-user seat. You focus on your platform; Nuclideon handles the rendering.

udSDK is licensed per end-user seat, the people using your platform. As your user base grows, your licensing grows with it.

Pricing is blended: each rate applies only to the seats within that band, so adding seats always increases your bill rather than resetting it. Year 1 is discounted to cover integration and rollout, and full production pricing applies from Year 2.

TierEnd-user seatsRate (per seat / year)Min. Year 2 ACV
Start-Up100 to 150$100$10,000
Starter101 to 500$150$15,150
Growth501 to 1,000$120$75,600
Scale1,001 to 5,000$110$120,110
Enterprise5,001 to 10,000$100$550,100
Strategic10,001+$85 to $100$1M+

Air-gapped, classified, or fully offline deployments add 15% to the per-seat rate. All figures in USD, subject to a signed Master Services Agreement. The Start-Up tier is available to qualifying early-adopter partners.

De-risk the decision: 90-day free proof of concept

No cost, no commitment. Bring your hardest datasets and integration questions and work directly with Nuclideon engineers for 90 days. Test performance, integration approach, and deployment architecture. If the fit is not right, you walk away at no cost.

How is udSDK priced?

Per end-user seat: the people using your platform. Pricing is blended, so each rate applies only to the seats within that band and adding seats always increases your bill rather than resetting it. Year 1 is discounted to cover integration and rollout; full production pricing applies from Year 2.

What does an air-gapped deployment cost?

Air-gapped, classified, or fully offline deployments add 15% to the per-seat rate. That covers packaging and validating offline builds, security review cycles, and support without remote access to the environment.

Can I try it before committing?

Yes. The 90-day proof of concept is free, with no commitment: bring your hardest datasets and integration questions and work directly with Nuclideon engineers. If the fit is not right, you walk away at no cost.

Operate with all your Data, not a sample.

Visualize and interact with your actual datasets at scale: no GPUs, no simplification.