Technology

Practical technology for useful AI.

We combine established AI models, modern application tools and carefully designed workflows to build useful systems within startup budgets.

Proven AI models

We evaluate established image and language models, then select the right fit for each use case.

Multimodal workflows

Text and image understanding help turn natural requests into useful, structured outputs.

Practical infrastructure

Managed services and efficient deployment choices keep early-stage systems maintainable.

Brand adaptation

Reference-guided workflows help outputs stay closer to a customer's visual identity.

Safety & review

Appropriate checks and human review are designed around the risk of each workflow.

Measured performance

We test response time, quality and cost against the needs agreed for each project.

Stack

A modern, maintainable foundation.

Frontend
React 19 · TanStack Start · Tailwind v4
API Gateway
Cloudflare Workers · Edge runtime
Inference
PyTorch · Triton · CUDA 12
Storage
Postgres · R2 · Vector DB
Observability
OpenTelemetry · Grafana · Sentry

Model Context Protocol

How our agents connect to your tools.

We build on the Model Context Protocol so an assistant can reach your APIs, documents and databases through one standard interface instead of one-off glue code.

Model Context Protocol title artworkDiagram of the MCP request flow from user query through the model to MCP servers and external servicesDiagram of core MCP server capabilities: prompts, resources and toolsDiagram showing the evolution of AI applications from basic models to agentic frameworks to the Model Context Protocol
Donkm.Tech Vision real-time detection overlay

Donkm.Tech Vision

Detection, captioning and review workflows.

We explore established multimodal models for object detection, OCR, content review and visual search, selecting tools around each project's needs.

Want a deep dive?

Our team is happy to walk you through the architecture, benchmarks and security posture.

Request a technical call