Panorama is an AI transformation company backed by a16z speedrun. Rather than selling a single tool, it embeds with a client's team to find where AI will create the most value and then builds the system to deliver it. Its site frames the work in three phases: strategy, where it maps how the business and its systems actually run and identifies the changes worth making before any code is written; productionize, where prototypes become production-grade systems with evaluations, monitoring, and runbooks; and partnership, where it works alongside internal engineers so they can keep extending what was built.
The published case studies are concrete. In one, Panorama audited every model call a product made, found a single repetitive task driving the bill, and distilled it into a small open model trained for roughly $8 on a rented GPU, cutting per-call cost about 16x. In another, it restructured what a model sees so an oversized prompt fit behind an edge cache, shrinking prompt size dramatically while sharpening output. A third describes a Slack-based outreach agent that drafts messages in each person's voice and hands final decisions back to a human, cutting per-prospect time from 15 minutes to one.
The practice areas include retrieval and RAG pipelines, context engineering, LLM cost optimization, data strategy, and post-training. Because the engagement is bespoke, pricing is quoted per project rather than published on the site. Teams typically reach out through a booking call to scope the work.
