Running a company is mostly a sequence of resource-allocation decisions. In theory, large models can optimize these decisions given enough relevant data. In practice, the bottleneck is usually a lack of labels.
Conway solves this problem by turning disparate information into a structured, updated dataset of verified events. Our dataset feeds downstream models, rules, and workflows, replacing manual annotation that is slow, expensive, and quickly stale. Once data exists at sufficient density, models can be trained and retrained as the environment changes. Today, Conway works with risk teams in the F500, including FDIC-insured banks, CFTC-regulated exchanges, card processors, and marketplaces.
We're excited to welcome new partners to support our mission. Conway raised $7M from Kleiner Perkins, First Round, and lots of friends. If you are interested in joining the team, please email careers@conway.ai or DM any Conway employee.