About
We build across data pipelines, human intelligence systems, and evaluation workflows for teams operating AI systems in the real world.
Data pipelines
Structured workflows for training data production and iteration.
Human intelligence
Distributed operators, reviewers, and domain experts.
Evaluation systems
Testing environments tied to model quality and deployment.
Founder
Haoran (Elvis) Wu is based in Silicon Valley and focuses on building data and evaluation infrastructure for real-world AI systems. His work sits at the intersection of data operations, human intelligence, and deployment-oriented evaluation.
He studied at Stanford and Oxford.
Operating Thesis
Open Gates sits between technical capability and deployment reality, with data infrastructure as the core layer.
Node 01
Data pipelines for training and fine-tuning
Node 02
Distributed human intelligence systems
Node 03
Evaluation workflows tied to real-world performance
What makes this different
Open Gates is not a traditional consulting firm. We build and operate structured systems for data production, human intelligence, and evaluation rather than advising from a distance.
Operating model
We operate through a distributed network of contributors, operators, and domain experts. This makes it possible to support data pipelines, evaluation systems, and feedback loops with real delivery capacity.
Company shape
Structured like an operating company rather than an advisory practice.
Execution model
Distributed human infrastructure with workflow ownership and quality control.
Positioning
Presented as a delivery-oriented infrastructure company rather than a founder-led studio.
