Aptabit

Lenders, manufacturers and hospitals spend hours on document-heavy reviews that AI could do in minutes, but many will not send borrower or patient data to an outside AI service. Aptabit installs with one command on the customer's own servers or cloud, runs on ordinary CPUs, and turns a process such as a loan review into an automated flow where every answer cites its source and every action is logged.

At one lender a manual loan review took about three hours: an analyst reading statements, cross-checking documents and writing up a decision, multiplied across every application, so the team kept growing and every spike in volume became a backlog. The same shape of work exists in manufacturing and healthcare. AI could do most of it, and the organisations with the most to gain are exactly the ones whose regulators and customers will not allow borrower or patient data to leave the building.

Aptabit is built to stay inside. The IT team runs one command on the infrastructure they choose, on premises, in a private cloud or on an air-gapped network, and the installer checks the machine and sizes the models it can run. From there the platform brings chat, agents, flows, documents and integrations together: a question is answered in seconds with its source cited, an entire process can be automated end to end, a person approves the key steps, and governance records every request and output. The founders, Pedro Baesso and Santiago Silva, come from the financial institutions they sell to, and the platform runs in production in finance, telecom, international trade and media in Brazil as the company opens its first US pilots.