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 prepare your application for production.
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.
Prototype to production
Customer-facing apps
You keep the IP
What we check before launch.
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.
- Security pass We remove secrets from code, audit dependencies, and review authentication.
- Data model We check the schema, migrations, constraints, and indexes against expected use.
- Payments and billing Flows account for retries, duplicate requests, webhooks, refunds, and reconciliation.
- Hosting and cost controls Infrastructure is sized for current use with room to grow.
- Monitoring and backups Errors, uptime, and restores are checked before launch.
- Handoff or hosting Everything stays documented and yours. We can run it, or we can hand it over.
Software services.
Custom software development
Custom registration systems, integrations, reporting pipelines, and internal tools when existing products do not meet the requirements.
Legacy modernization
Legacy systems are refactored in planned stages. We have replaced live payment flows without interrupting users.
About code refactoringResearch and prototypes
R&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.
Where we use AI.
AI adoption
We find workflows where AI can save time, such as document handling and support triage, then test one use case before expanding.
Private AI
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.
AI-built software
We work in AI-generated codebases every day. We keep the useful parts and replace what will not hold up under production use.
About AI code auditsData and reporting
Automated data ingestion and daily KPI reporting, including the morning reports we built for a cancer treatment center.
Reporting, workflow automation, and integrations.
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.
Recurring reports
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 automationSystems that need to share data
Connect 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 servicesWebsite inquiries and payments
Connect 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.
Questions about the work.
Will you work with an AI-built codebase?
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.
Do I have to rewrite everything?
Usually not. The prototypes we take to production keep 40 to 60 percent 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.
Can you run it after launch?
Yes. Most clients move onto a managed operations plan once the work ships, and we carry the pager from there.
What does it cost?
We price the work after reviewing the code. Projects are usually quoted in defined phases. Our fees have typically been 20 to 30 percent below comparable firms, but the quote depends on the system and scope.
Request a production review
Send a line about what it does, where it lives, and what happens if it fails. We read the code before we quote the work.
- You keep ownership: repo, infrastructure, and IP stay yours.
- Fixed scope agreed before work starts.
- Best for customer-facing apps, internal systems, and funded MVPs.
- Existing code reviewed before any rewrite is proposed.
Best fit: an application nearing launch or compliance review, or one with problems affecting customers or employees.