The more of the world you simulate, the less each place costs.
Turning real places into training-ready simulations means balancing realism, accuracy, speed, and cost. Compare plans and find the right fit.
Academic
Access real-world 3D data for academic research, teaching, and non-commercial projects.
- Apply for access to the Places Library for qualifying research projects.
- Explore paid licensing options for universities and academic departments.
- Access is subject to eligibility and intended use.
Frequently Asked Questions
Which plan is right for my team?
Evaluate is designed to prove the impact on your training and evals before making a larger commitment. Train is the starting point for most teams that need real-world diversity and a pipeline for adding future sites. Deploy is for teams moving into production with customers and needing QA, delivery SLAs, and priority support. Enterprise is built around custom sites, data terms, volume, API delivery, and white-glove support.
Can we start with a small proof of concept?
Yes. Evaluate is a paid three-month plan that lets you validate performance before signing up for a larger plan. It includes 15 Places Library downloads across the term and 15 capture minutes per month.
How do the plans scale as we need more places and captures?
The allowances increase by plan. Evaluate includes 15 Places Library downloads and 15 capture minutes per month; Train includes 100 downloads and 60 capture minutes per month; Deploy includes 300 downloads and 120 capture minutes per month. Enterprise provides uncapped Places Library downloads and negotiated capture volume.
What happens if we need more capture time than our plan includes?
Both Evaluate and Train let you buy additional capture minutes, discounted on Train, and unused minutes roll over on both plans. As your needs grow, you can scale up custom-scene capture or move to a higher plan for larger allowances.
What level of support and delivery is included?
Evaluate and Train include standard support and a dedicated GCS bucket. Deploy adds QA on every batch, a delivery SLA with escalation, and priority support. Enterprise adds enterprise API delivery, pipeline calibration by Niantic Spatial's R&D team, priority processing, and white-glove support.