Custom app development
Full applications for a real job in the business. Agents, screens, and the integrations into systems you already run. Scoped to one product and built until your team can operate it.
SRA Group builds custom AI applications for regulated industry, finance, manufacturing, and e-commerce. We start with the result the business needs, develop the model on your data, and ship the software around work people already do. A person stays accountable for the action. The IP stays yours, and governance is what lets you prove what the system did.
Three kinds of work. Put AI into a job people already do. Rebuild a function around an agent. Or invent the application. Each one is developed, tested, and left in a state you can operate and explain.
Full applications for a real job in the business. Agents, screens, and the integrations into systems you already run. Scoped to one product and built until your team can operate it.
We develop a model for the task and measure it on your data, including the knowledge that already lives in the operation. If another model does the job better, we switch. You can take the result to the business.
The build sits on tools we already operate, pointed at current models. Less rework, fewer vendors in the path, and a cost that tracks the application instead of a platform tax.
Your code, your data, your model artifacts. Policy on the model call, a named person when an agent goes past its authority, and a record. That is how you prove what it did.
Start with a consultation. Bring the application you want in market. We'll come back with the model, the build, the tests, and what has to be governed first.
Applications that have to hold up in an audit. Policy and evidence are in the first release, because that is the environment the product lives in.
The workModels and agents for risk, forecasting, and operations. Every model call can be explained, and logged, when someone asks.
The workInspection, quality, and plant systems, including computer vision. We test them on the line's actual failure cases.
The workAgents for catalog, service, and operations. Built to move at the speed of the business, inside the policies you already run.
The workRuntime governance for enterprise agents, in production and on the customer's premises. Policy in the path, a named human when authority is exceeded, a record an examiner can use.
aperion.ai ProductAI for construction finance, in market. It reads a draw package as it arrives and runs the review: budget, covenants, lien waivers, retainage, risk flags. More than 8 million square feet. SOC 2.
developmentdataanalytics.comScott Ancheta spent two decades at Cisco and Dell designing and deploying systems for GM, Ford, Comerica, Fiat Chrysler, Cartier, and Marriott. He was on site when they went live. The last stretch of his work is runtime governance for enterprise AI, which is the standard SRA holds client systems to.
US-based engineers. The people who develop the model are the people who test it.
We help you decide whether the work should be a model in an existing job, an agent inside a function, or a new application. Then we develop it, test it, and leave your team able to run it.
You do. The application, the data, and the model artifacts stay with you. We put policy on the calls and keep a record. Your data is not training material for someone else's product.
The result you need, the data the system has to use, and what it must not do. You leave with a point of view on the build, including whether we should take the work.
The build sits on tools we already operate, pointed at current models. Fewer vendors in the path. The price tracks the application, and we say so before work starts.
Tell us the result you need. We'll tell you what we'd develop, how we'd build it on our tools, and what has to be governed before it goes live.