Competencies
Ape4 helps companies decide where AI belongs, then builds the system and supports it afterward. We take projects where AI is a significant part of the work: a feature in a SaaS product, or a system for an internal IT team. We write the specification and our team builds from it. We call that spec coding.
We help you decide where an AI feature belongs, write the spec, and build it. The work includes agents, answers grounded in your own documents, and choosing the model for the job. Our team does the building.
Working systems our team has shipped:
We add AI to a product your customers already use: support, sales, and answers inside the product. The feature has to fit the product. OpenThought and CogniTerm are examples of this kind of system.
We build the same kind of system for employees. That includes search across internal documents, answers to common questions, and tools an IT team can run. Who can ask, and what the model is allowed to answer, are part of the build.
We teach the people who will own the system. An executive briefing covers where AI fits and what to fund. A workshop is for the team that will specify and review the work. A course is longer practice. These often come before a build.
After launch we stay on the system. That includes fixes, changes to prompts and access, training for the people who run it, and keeping the feature working as the product and the models change.