For those who want to know what's running behind the work — here's how we build and what we build with.
Event-driven automation with a visual interface. When something happens — a form submits, an email arrives, data changes — n8n triggers the right chain of actions across your systems. Self-hosted, no vendor lock-in.
One dashboard to manage scheduled tasks across every machine in your environment. Replace scattered cron jobs with centralized control — pause, resume, monitor, and chain tasks across multiple servers with full visibility into what ran, what failed, and why.
Python, Ruby, Bash — whatever fits the job. API integrations, data transformations, and the connective tissue between systems. When an off-the-shelf connector doesn't exist, we write it in whatever language makes the most sense.
Ruby on Rails — full-stack web applications built for reliability and maintainability. Internal tools, customer portals, admin dashboards, and data-driven interfaces.
SQL (MySQL, PostgreSQL) and NoSQL (MongoDB). Schema design, query optimization, data migration, and integration with existing data stores.
Linux server administration, VM environments, and Docker containerization. On-premise and hybrid setups configured for your security and performance requirements.
Large language models running on-premise — not through third-party cloud services. Full control over your AI capabilities with no data leaving your environment.
Language and vision models deployed on your own hardware — running on local GPUs, not a third-party cloud. Your data stays where it belongs, under your control.
A routing layer that sends each task to the right engine — fast cloud models where speed and reasoning matter, local models where the data has to stay private. One interface, the best of both.
Reading printed and handwritten documents, labels, and forms — pulling out structured fields (names, tracking numbers, dates, line items) as clean JSON ready for the next system. Runs on local vision models at production volume.
Async, multi-tenant processing that reads, classifies, extracts, and packages documents at scale — hundreds of thousands of pieces, with queuing, retries, and job monitoring built in.
Automated checks that preflight each job against its constraints and inspect the finished output against the data, rules, and templates it had to follow — catching defects before anything ships.
AI outputs wired directly into real business processes — through Python, n8n, Airflow, or custom integrations. Not a demo — production pipelines that do actual work.
We connect to your existing in-house systems — databases, internal tools, legacy applications, and APIs. No rip-and-replace philosophy. Every integration is incremental, low-disruption by design. We work with what you have and build from there.
Local LLM deployment means your sensitive business data never leaves your environment. For regulated industries — or any business uncomfortable feeding operations data into third-party AI services — this is the meaningful distinction. Your data, your hardware, your control.
We're happy to walk through the technical details and see where things connect.
Get in touch info@visualdata.com