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LucidGrid 2026: Private Beta

About This Form

This form is your application to the LucidGrid private beta. We're testing with a limited group of studios, producers, and practitioners before our public launch in mid-May 2026.

The beta is not open enrollment. We're accepting a select number of users to ensure we can deliver hands-on support, incorporate feedback directly into the product, and build a strong reference group of early implementers who shape how the tool works in production.

Your responses help us understand your workflow, your compliance requirements, and whether LucidGrid is built for your specific problem. Some applicants may not be a fit for the beta phase. That's okay. We'll stay in touch and have something for you at launch.

What You're Joining

The beta gives you:
- Early access to LucidGrid's extension (18 AI platforms supported at the moment)
- Direct support from the LucidGrid team
- Opportunity to shape the product before general release
- First access to pricing and implementation support at launch

What this Isn't

This is not a waiting list with guaranteed access. This is a qualification process. We're evaluating fit, and we're doing so transparently.
Take 3–4 minutes to answer the questions below. Be specific about what you're building and what you need from an evidence system. The more detail, the better we can assess whether the beta is right for you now.

Section 1: Market Profile

1. Primary Market Focus

1. Primary Market Focus
A
B
C

2. Which AI tools are currently integrated into your actual production pipeline? (Check all that apply)

2. Which AI tools are currently integrated into your actual production pipeline? (Check all that apply)

3. Which of these best describes your current use of AI output?

3. Which of these best describes your current use of AI output?

4. Have you ever been asked by a client or insurance provider to disclose or "prove" the level of AI usage in a project?

4. Have you ever been asked by a client or insurance provider to disclose or "prove" the level of AI usage in a project?
A
B
C
D

Section 2: Professional Profile

5. Full Name

6. Current Role

7. Years of Professional Experience in Creative/VFX:

7. Years of Professional Experience in Creative/VFX:
A
B
C
D

Section 2: AI Adoption Depth

8. Estimate the percentage of your current deliverables that contain AI-generated or AI-augmented assets:

8. Estimate the percentage of your current deliverables that contain AI-generated or AI-augmented assets:
A
B
C
D

Section 3: The "Pain Point"

9. What is your current method for documenting AI usage for legal/copyright purposes?

9. What is your current method for documenting AI usage for legal/copyright purposes?
A
B
C
D

10. How do you verify that your AI tools are NOT training on your client's confidential production data (scripts, unreleased assets)?

10. How do you verify that your AI tools are NOT training on your client's confidential production data (scripts, unreleased assets)?
A
B
C
D

11. Have you ever had to escalate a GenAI use-case for formal legal/client written approval?

11. Have you ever had to escalate a GenAI use-case for formal legal/client written approval?
A
B
C

12. If a tool could automatically log AI usage and generate legal packs for copyright compliance, what would you expect to pay per month?

12. If a tool could automatically log AI usage and generate legal packs for copyright compliance, what would you expect to pay per month?
A
B
C
D
E

13. Are you currently working with platforms (e.g., Netflix, Disney+, Amazon) that require formal disclosure of Generative AI workflows?

13. Are you currently working with platforms (e.g., Netflix, Disney+, Amazon) that require formal disclosure of Generative AI workflows?
A
B
C

14. How do you currently prove "Human-in-the-Loop" authorship to meet streamer safety standards?14.

14. How do you currently prove "Human-in-the-Loop" authorship to meet streamer safety standards?14.
A
B
C
D

Section 4: The Value Exchange

LinkedIn Profile URL (Required for verification)

What is your email?