When standard tools do not fit the way you work, we build internal software, connect existing systems and add AI where it helps.
Build an internal application around your steps, rules and roles.
Connect the data and automate what happens between your tools.
Use AI to read documents, answer questions or carry out agreed steps.
Operational systems, AI applications
and the engineering behind them.
A platform that connects business conversations, documents and operational records so teams can carry out work through chat.
We built the AI platform, workflow engine, structured business records, document processing and integrations with external systems.
Communication, documents and business actions are connected to the same operational records.
An operational system for service teams working across multiple locations, with attendance, schedules and contract monitoring in one place.
We adapted our conversational operations platform for workers, managers and office teams, connecting check-ins, scheduling, contracts and management views.
Field activity becomes accessible to managers as structured information they can review and act on.
An industry-specific CRM covering candidate conversations, initial screening, documents, interview scheduling and recruitment reporting.
We built candidate and employer workflows, AI pre-screening, document processing, messaging integration and role-based access for agency staff.
Candidate information, communication and recruitment progress stay connected throughout the hiring workflow.
A system that compares kitchen quotations, orders and supplier confirmations, and brings requested changes from WhatsApp and email into the same project view.
We built document comparison, supplier matching, a project dashboard, document and conversation views, daily summaries and delivery checks.
Managers can review document differences and requested changes together, with delivery information and project deadlines in view.
An AI-powered CRM for IT service providers that connects leads, quotations, payments and customer onboarding in one workflow.
We built customer records, sales stages, configurable service packages, quote calculations, invoice and receipt management, payment tracking and task lists. Sales and service delivery are connected within the same customer record.
Teams can follow each customer from the first enquiry to completed onboarding. They can see which services were agreed, what has been paid and what still needs to be done.
An open-source framework for knowledge access and domain-specific AI workflows, developed and maintained by our team.
We built a model-agnostic foundation for connecting language models with knowledge and application workflows.
AI applications can be designed around project requirements without binding the architecture to one model provider.
Some applications share a common AI operations platform and have been adapted to different business workflows.
Our work includes Go microservices, document-oriented databases, model-agnostic AI components, APIs and messaging integrations. The architecture is chosen for the workflow, data and systems involved.
Tell us what you want to build or improve, and which systems are involved. You do not need a technical specification to start.
We clarify the process, the systems involved and what a useful first version would do.
A person from our team replies during Amsterdam business hours.
Yes. We build integrations and add capabilities around existing systems. We first check the workflow, available data, interfaces and access requirements.
No. Start with the process, the tools you use and the result you need. We help define the first working version and its scope.
Our systems use structured workflows, role-based access, audit trails and handover to people. The controls for a project depend on what the AI can access and which actions it is allowed to take.
Our work includes deployment, documentation, monitoring and ongoing development. Support and responsibilities are defined as part of each project's scope.
