AI & SaaS Development
Develop a new product or add AI capabilities to the software your customers already use.
We build multi-tenant software and AI capabilities around the workflows customers need to complete. Architecture, data access, integrations and permissions make those workflows usable in production. Evaluation and operational control help your team understand AI quality, failures and cost after launch.
Our scope can include knowledge assistants that retrieve relevant information, agents for defined workflow tasks and AI-enabled content or document processes. The delivery plan defines the data, allowed actions, evaluation and human oversight required for the use case.
Our engineers work as part of the client’s core technical team on a secure-by-design, multi-tenant enterprise platform used by major international companies. The engagement spans AI research and development, production AI integrations, business-process automation and ongoing platform engineering.
That experience sits alongside MindForge, the AI learning product we built and continue to develop ourselves.
MindForge reached MVP in about three months and an enterprise platform in about eight months from development start, with AI and multi-tenancy. More than two years of live use give us direct experience of the work that follows a launch: maintaining the product, responding to new use cases and evolving the software.
PQC Waypoint by KAPYON demonstrates our work on an enterprise product where security shapes the architecture from the outset. It brings together protection of selected communication paths, central policy control, deployment options and evidence of protection in operation, around existing applications.
The product introduces protection while preserving the applications organisations rely on. Policy control and session-level evidence give operators a way to manage and inspect that protection. This complements MindForge’s AI SaaS delivery with security-focused enterprise product engineering.
What must the feature do? Which data can it use? What would an unacceptable result look like? What already exists in your product?
We agree what the first release should do and how your team will test it. Our proposal explains what we will deliver, what we need from you and how the software will be put into use.