Why we built Cyrenza, and the production layer beneath professional work that we set out to take on.
Cyrenza began with a frustration that anyone who has worked inside a professional firm will recognise. The experts spend a large share of their time not on expertise but on production. Building the model. Abstracting the lease. Pulling the comparables. Running the first-pass review. The judgment that clients pay for waits behind the production work that has to happen first.
The first wave of AI tools did not solve this. A chatbot answers a question. A copilot suggests an edit. Neither one does the work. We set out to build something that does, a workforce of specialists that takes on the production layer and hands the judgment back to the professionals.
Placeholder to fill with the real founder narrative. The two founders, how they met, the split between product and engineering on one side and go-to-market on the other, the decision to build vertical by vertical, and where the company is headed.
Deploy AI Knowledge Workers purpose-built for Finance, Legal, Real Estate, Marketing, Insurance, and Consulting, handling everything from financial analysis to contract review to market research, each engineered for the vertical it serves.
Decomposing revenue variance by driver
Working now...