Our Work

Systems we designed, built, and run in production every day

We are a young firm, so instead of logos we show what we have built. Each system below is ours: built by us and operated by us in production. Details of private data are withheld.

Private document intelligence

Turning a private document set into searchable answers

The problem

A confidential matter kept generating scanned and digital documents: letters, records, filings and correspondence. Finding a fact meant opening files one by one, and the documents were too sensitive to upload to a cloud AI service.

What we built

Automatic intake: every new document is captured, OCR'd and filed
Full-text and meaning-based search across the whole set
AI analysis that classifies documents and extracts dates, parties and key facts
Everything runs on private infrastructure; nothing is shared with a third-party AI tool by default

Result

Finding a fact became a search instead of a read-through, and new documents are organized the moment they arrive instead of piling up.

Built with

Paperless-ngx · OCR · Qdrant vector search · LLM analysis · Docker

Document Intelligence pilot →

Self-hosted operations

Running a whole business on self-hosted, monitored infrastructure

The problem

A small business needs ERP, email, automation, analytics and monitoring, but per-seat SaaS bills add up, and every tool keeps its own copy of the company's data.

What we built

ERP (accounting, CRM, invoicing) connected to sales and banking feeds
Workflow automation, mail, web analytics and a vector database on one platform
Uptime monitoring with alerts, plus backups
Secure remote access without exposing services to the internet

Result

More than 50 monitored services run DataNova's own operations today. The same patterns are what we deploy for clients in a Self-Hosted Automation Stack.

Built with

ERPNext · n8n · PostgreSQL · Docker · Uptime Kuma · Mailcow · Tailscale · reverse proxy

Self-Hosted Automation Stack →

Applied AI

Rook CEO: an AI operations platform that works a real business

The problem

A one-person consultancy cannot watch every job board, bid portal and inbox, keep a CRM current, and still deliver client work.

What we built

AI agents that scan job boards and public bid portals daily and qualify each lead
Draft proposals and social posts that the founder reviews and approves before anything goes out
Every qualified lead recorded in the ERP with notes and follow-up reminders
Model routing, usage limits and an automatic budget guard so AI costs stay predictable

Result

Lead research, follow-ups and reporting run on their own every day; a person approves anything that leaves the building. It is DataNova's own product, and it runs DataNova's sales pipeline.

Built with

LLM agents · workflow scheduling · ERPNext API · Discord approvals · usage monitoring

About Rook CEO →

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