Our Commitment
We believe innovation and responsibility strengthen each other. Every decision at Bria—from data sourcing to model deployment—reflects this principle.
The Pillars
Licensed data only
100% opt-in data from partners. No web scraping. No synthetic training data. Every asset legally authorized for generative AI.
Fair compensation
Creators earn ongoing revenue based on actual usage through our patented attribution technology; no single buyouts.
Privacy by design
No public figures, unauthorized likenesses, or deepfakes , just human imagery with explicit commercial releases. Data encrypted at rest and in transit.
Safe outputs
Three-layer content moderation. No harmful, offensive, or misleading content. No famous people. All AI-generated content marked and traceable.
Bias mitigation
Diverse training data across cultures, ethnicities, ages, and geographies. Rigorous testing. Continuous refinement for fairness.
Regulation ready
EU AI Act compliant. Full transparency on training data. Built for audit and accountability from day one.
Our Standards
Full IP indemnification for customers
Full IP indemnification for customers
C2PA content marking compatibility
Public training data documentation
Regular third-party audits
SOC 2 / ISO 27001 certified
Our Standards
Full IP indemnification for customers
Full IP indemnification for customers
C2PA content marking compatibility
Public training data documentation
Regular third-party audits
SOC 2 / ISO 27001 certified
Environmental Responsibility
Data- Licensed, curated data eliminates the massive compute needed to scrape, filter, and clean web-scale datasets.
Training- Optimized training pipelines with over 95% GPU utilization- no wasted cycles, no idle compute. [Read more (Misha AWS link→]
Inference- Optimized model architectures deliver production-grade quality at a fraction of the compute cost. [See HS]Minimal footprint. Maximum output.
Read the Full Framework
Our complete Accountability Framework documents every principle, policy, and practice that guides Bria's development.