Running a company is mostly a sequence of resource-allocation decisions: which customer to accept, which event to flag, which alert to investigate, and which account to block. In theory, large models can optimize these decisions given enough relevant data. In practice, the bottleneck is usually the lack of dense, current, accurately labeled data.
Conway solves this problem by turning disparate information into a structured, updated dataset of correctly classified events. Our dataset feeds downstream models, rules, and workflows, replacing manual annotation that is slow, expensive, and quickly stale. Once the data exists at sufficient density, models can be trained, deployed, and retrained as the environment changes.
Today, Conway works with tech-enabled financial institutions, including FDIC-insured banks, CFTC-regulated exchanges, card processors, and marketplaces. We are focused on bringing Conway to their most pressing, high-value problem: Fighting financial crime.
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.