DBB Software

Putting AI features into products that already exist

Much of what DBB Software offers today is organized around taking artificial intelligence from a prototype to something that runs in a live product. Its site describes three routes. The first adds a defined AI capability to an application a client already has: search, copilots, support agents, document processing or recommendation features, delivered under a fixed scope, timeline and budget so that the client does not need to rebuild the product or hire a permanent AI specialist.

The second route is agentic development, meaning software agents that carry out several steps of work using tools, memory, integrations and permissions, with a human kept in the loop. The company pitches this to teams that can already build a demo but are unsure how to design an agent for production. The third is a private AI platform, a self-hosted setup in which data, models and memory stay under the client's control, with audit logs, role-based access and encrypted credentials.

Senior engineers and AI agents working together

According to the firm, senior engineers lead each build and bring in specialized AI agents at the planning, coding, testing and documentation stages. Its stated aim is quicker delivery without handing over responsibility for architecture, accuracy, cost or security. It also says it brings architecture work, evaluation, security review and control of inference costs to each AI project.

Teams, projects and ongoing support

DBB Software began as a software engineering service built on vetted remote developers, and that model is still on offer. It describes three ways of working: an extended team that adds specialists to a client's own developers, a project-based team that builds a defined product, and a fully managed support team that looks after an application once it is live. Contracts can be short or long term, and the work is overseen by its own project managers. Related offerings on the site include software development for startups, application management and support, and hiring dedicated software or mobile app developers.

Past work described by the company includes extending an existing team to build a mobile application for a young financial technology company whose users are commercial property lenders, supplying developers for a front-end, back-end, DevOps and 3D platform effort, and providing front-end, back-end and QA staff for a B2B web platform. The site also lists custom solutions such as agentic workflow automation, recommendation engines, retrieval-based knowledge platforms, electronic health record software, golf course management, crypto asset management, legal billing software and supply chain tools, and says it has delivered more than a hundred projects. One featured case is its own website chatbot, built to answer from live content management data, qualify leads in a structured way with data protection rules enforced, and expose a read-only server that AI assistants can query.

Quality processes and long relationships

DBB Software says its processes follow CMMI and ISO practices, with a secure-by-default approach to architecture, and that it has worked in regulated areas such as health technology, financial technology and legal technology. It reports that 80 percent of its clients stay for seven years or more and that its teams often collaborate for more than five years, so the same engineers who ship a product keep improving it through launch and scaling. It lists certifications or partnerships with AWS, MongoDB, Microsoft and GitHub.