Panorama

Panorama focuses on turning business challenges into AI-powered solutions for teams delivering AI-enabled products. It learns how a business operates and identifies the changes that create the most value, whether that involves a model, data around it, or unautomated processes. Before any code is written, Panorama provides a clear picture of what is worth building and why, aligning with a company’s goals and systems.

Panorama then moves from prototype to production, making systems production-grade with evaluations, monitoring, and runbooks that support ongoing improvement. The team emphasizes rigor as essential for long-lasting systems and collaborates with client engineers so the solution can be extended after the engagement.

Panorama ships systems focused on retrieval, context engineering, LLM cost optimization, data strategy, and post-training workflows. These include rebuilding retrieval as a measured system, designing what the model sees at each step, reducing inference costs, building data pipelines and governance, and handling data curation, training, evaluation, deployment, and optimization.

Panorama describes its team and approach, noting a small team of engineers from Google, Twitter, and UC Berkeley who have shipped systems for hundreds of millions of users and who bring experience in open-source and special projects at Lyft and Cash App. The organization combines customer empathy with the ability to turn technology into working products and to tackle real-world problems with solid systems.

Use cases

• Turn AI concepts into live features that scale to millions of users