Build on the Labelbees platform
Curate multimodal collections, compare models, run batch workflows, analyze results, and route selected outputs to verification.
Selected startups receive platform credits and technical support to connect multimodal data, evaluate and run models, verify outputs, and deliver results through one connected platform.
Applications are reviewed directly by the Labelbees team.
Connect multimodal data, evaluate and run models, verify outputs, and integrate results into your existing workflows—with platform credits and technical support to get started.
Curate multimodal collections, compare models, run batch workflows, analyze results, and route selected outputs to verification.
Receive platform credits based on program fit, anticipated usage, and the scope of your first workflow. Eligibility, limits, and duration are confirmed before onboarding.
Get technical onboarding to connect data and models, configure your workflow, and define the outcome you need.
Save validated configurations, run them across larger collections, and route results into verification and downstream workflows.
Route selected outputs through domain experts and specialized verification systems using your requirements and guidelines.
Use Labelbees-managed or customer-controlled infrastructure and connect your existing storage, models, services, and endpoints.
Start with the result your team needs. Labelbees connects the data, models, workflows, and verification required to deliver it.
Curate, structure, and verify real-world multimodal data for training, evaluation, and downstream workflows.
Compare models on proprietary inputs, identify failures, and run validated configurations at scale.
Turn multimodal data into searchable events, structured signals, and analytics for downstream systems.
We look for a clear connection between your product, real-world multimodal data, and an outcome the Labelbees platform can help deliver.
Later-stage startups and selected research teams may also be considered when their work aligns with the program and has a clear path to real-world deployment.
Venture funding is not required. Meeting the eligibility criteria does not guarantee acceptance.
Each accepted team starts with a defined scope, success criteria, platform credits, and technical support aligned to an achievable outcome.
Share your product, stage, data and model setup, current bottleneck, and desired outcome.
We review your product, technical needs, and where the Labelbees platform can create meaningful value.
Agree on the initial workflow, success criteria, platform usage, responsibilities, and support plan.
Connect your data and models, run the workflow, and evaluate results against the defined outcome.
Get platform access, credits, and hands-on technical support to take a defined workflow from setup to real results.
No. Funding is not required. We evaluate your product, team, workflow readiness, and fit with the Labelbees platform.
Credits apply to eligible Labelbees platform usage defined for your program. Credit value, usage limits, and duration are confirmed before onboarding. Third-party services and specialized requirements may be quoted separately.
No. Credits apply to eligible Labelbees platform usage and are not transferable or redeemable for cash.
The program is primarily designed for incorporated early-stage Physical AI companies. Later-stage startups may also be considered based on program fit. Selected research and technical teams may participate by invitation.
No. Applications are reviewed based on program fit, workflow readiness, available capacity, and where Labelbees can create meaningful value.
No. Labelbees works with existing multimodal data as well as new collections as they are created.
If there is a potential fit, the Labelbees team will contact you to understand your workflow, confirm program fit, and define an initial outcome. Program benefits begin after acceptance.
Tell us what you are building, where your current workflow is constrained, and what outcome would move your company forward.