AI agents built for five industries we know deeply
Domain knowledge is not a nice-to-have in agentic AI it is what determines whether the agent's judgement is any good. Rather than claiming coverage of every vertical, we concentrated on five where unstructured data and operational complexity make agents genuinely worth the effort.
01Food & Beverage
Food and beverage carries manufacturing's operational complexity plus a compliance regime where the documentation is the product record. Most of that documentation is still handled by people copying between systems.
02Financial Services
Financial services has the clearest AI economics of any sector we work in and the highest bar for evidence. Every model output may need to be explained to a regulator, a customer, or a court. We build accordingly.
03Healthcare and Life Sciences
Healthcare runs on documents that people read under time pressure. The opportunity is not to remove clinical judgement it is to remove the two hours a day that clinicians and reviewers spend assembling the information that judgement needs.
04CPG and Retail
CPG and retail teams are rich in data and poor in time. Forecasts are overridden by instinct because nobody trusts a number they cannot interrogate, and promotion post-mortems arrive long after the next promotion has been committed.
05Manufacturing
Manufacturing has more usable operational data than almost any other sector and less of it in play. Sensor histories sit unused, quality inspection is still sampled by eye, and the supply chain runs on spreadsheets that three people understand.
Depth beats coverage when the agent has to exercise judgement
A generic extraction agent does not know that a certificate of analysis failing on one parameter blocks receiving, or that a prior-auth case with a specific comorbidity is never auto-approved. That knowledge is the difference between an agent that saves time and one that creates rework.
We start from your process, not a template
Scoping maps the process as actually practised, which is reliably different from the documented version and the difference is usually where the value hides.
Sector compliance is designed in
HIPAA, EU AI Act, model model risk management, food safety documentation. Retrofitting these after a compliance review costs several times what building them in does.
Patterns transfer, so week one is not blank
A claims intake agent and a prior-auth agent share most of their architecture. We arrive with the pattern and spend the time on what makes your case different.
Working in one of these five sectors?
We will bring specific use cases from comparable deployments to the first call, rather than asking you to explain your industry to us.
