Prototype Review and Preparation
We preserve working code, separate business logic, and update the data model for expected use. We set up monitoring and backups before launch.
We review AI-assisted prototypes, funded MVPs, and aging line-of-business systems, then handle the security, data, hosting, monitoring, and handoff work they need in production.
Before launch, we check authentication, the data model, deployment, monitoring, and payment handling where money is involved.
If development has stalled or the original team has stepped away, start with our software project rescue sequence.
We preserve working code, separate business logic, and update the data model for expected use. We set up monitoring and backups before launch.
Custom registration systems, integrations, reporting pipelines, and internal tools when existing products do not meet the requirements.
Legacy systems are refactored in planned stages. We have replaced live payment flows without interrupting users.
About code refactoringR&D and proof-of-concept work across systems, networking, and applications. For established clients, we regularly fund pilot projects ourselves to test whether a proposed approach works.
We find workflows where AI can save time, such as document handling and support triage, then test one use case before expanding.
We design and operate private AI environments when contracts or data requirements rule out public services. For RocketDocs, briskData helped design the private inference environment and continues to support and manage it in production.
We review and improve AI-generated code to help prepare your application for real users.
About AI code auditsAutomated data ingestion and daily KPI reporting, including the morning reports we built for a cancer treatment center.
If someone downloads the same files each morning, copies figures between systems, or checks payments by hand, start by showing us that process. We review the source data, who needs the result, and what should happen when a record is missing or a system is unavailable.
Our existing work includes automated daily reporting for a cancer treatment center and payment integrations for an events registration platform. Read about those client projects.
Collect data from agreed sources, apply the business rules, and deliver a report on schedule. Define how staff will see and correct exceptions.
Business intelligence and reporting automationConnect applications through supported interfaces or scheduled imports. Plan how to handle duplicate records, failed transfers, and changes in either system.
Software, API, and payment integration servicesConnect forms, registration, and checkout to the systems your staff use to follow up. For a new business site or a redesign, see our website design services.
Yes. AI-assisted codebases are a regular part of our software work. We review their code, data, security, and infrastructure, then identify what needs to change before production use.
Usually not. The prototypes we take to production keep 40% to 60% of their original code. We preserve the parts that work, then fix the structure, data model, security, and infrastructure where needed. You see that list before work starts.
Yes. We can manage your application and provide ongoing support after launch.
We price the work after reviewing the code. Projects are usually quoted in defined phases. Our fees have typically been 20% to 30% below comparable firms, but the quote depends on the system and scope.
Tell us about your application and what you need help with. We’ll review the code before providing a quote.
Best fit: an application nearing launch or compliance review, or one with problems affecting customers or employees.
A 30-minute conversation with an engineer about what you need and next steps.
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