Dijitle

Dijitle builds purpose-built software for organizations still running on spreadsheets, disconnected tools, and manual workarounds. Active engagements span SaaS platforms, field service operations, AI-enabled workflows, and professional services firms — different clients and industries, but the same underlying problem: too much complexity and not enough clarity in how information moves through the business.

The work centers on full-stack web platforms built on Django and Vue 3, often with multi-tenant architecture for businesses serving multiple clients, locations, or accounts. Data platform design follows a consistent structure — an integration layer, a warehouse or lakehouse core, and a serving layer that turns raw operational data into decisions people can act on. AI work starts with an operating model: mapping where AI actually fits into existing workflows before building anything, then implementing API integrations across the client's tool stack to connect systems that previously ran in isolation.

Deliverables include MCP tool servers built for ClickUp, Microsoft Graph, and SQL databases, alongside full platform builds, AI operating model design, and system integration projects. Founded in 2013, Dijitle operates as one person from strategy through deployment — no hand-offs, no translation layer between the person who designs the system and the person who builds it. That structure shapes the kind of work taken on: projects where continuity between architecture decisions and implementation details matters, and where intelligent systems are expected to reduce manual work and extend what a small team can handle on its own.