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Data & AI Infrastructure

Make company data usable by AI: ingestion, extraction, retrieval pipelines, vector search and AI-ready APIs.

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The problem

The model is rarely the problem. The problem is the data it cannot reach: PDFs in a shared drive, records across three systems, documents nobody indexed. Without a pipeline that extracts, cleans and refreshes that data, every AI feature answers from a stale, partial view.

What we build

  • Document ingestion and extraction pipelines for PDFs, scans, emails and exports
  • Vector search and knowledge bases with access control and freshness rules
  • AI-ready APIs that serve clean, joined data to agents and applications

Document ingestion, Extraction, Vector search, Knowledge bases, Data transformation

How it works

  1. 01

    Inventory the sources

    Where the data lives, who owns it, how it changes and what the AI needs from it.

  2. 02

    Build the pipeline

    Extraction, transformation and indexing with tests and alerts, on a schedule or on events.

  3. 03

    Serve it

    Search and API layers that agents and apps call, with permissions enforced at query time.

  4. 04

    Keep it fresh

    Monitoring for lag, drift and cost; re-indexing rules; a runbook for changes upstream.

Work that proves it

  • PDFData home page: an extracted invoice card beside a review queue of ready and flagged documents

    PDFData

    AI invoice and receipt processing to Excel, CSV and JSON

    Designed and developed for the client: extraction pipeline, bulk processing and the export and API surface.

  • HelpKit home page: building a help center out of Notion pages, above a customer quote

    HelpKit

    Notion to help center with AI support

    Designed and developed for the client: the Notion-to-help-center renderer, search and the AI answer layer.

  • Userdesk home page: AI assistants that collect leads, beside a chat preview and content sources

    Userdesk

    No-code AI support and lead assistant trained on your site, Notion, PDFs and Drive

    Designed and developed for the client: retrieval pipeline, the embeddable assistant and the lead hand-off flow.

What you get

  • Source inventory and data contracts

  • Ingestion and extraction pipeline

  • Vector index and knowledge base

  • AI-ready API layer

  • Monitoring and alerts

  • Runbook

Questions

What's included in a data and AI infrastructure engagement?
A source inventory with data contracts, then the pipeline that ingests and extracts from those sources, the vector index or knowledge base built on it, and the API layer your agents and applications call. Monitoring and alerts for lag, drift and cost come with it, and a runbook for the day a source changes upstream.
How long before a pipeline serves real queries?
Three to eight weeks for a first pipeline serving real queries. The range is mostly about the documents: clean exports with a stable structure land quickly, while scans, mixed layouts and files spread across three systems take longer to extract reliably. Adding a second source after the first is a fraction of the work.
What do you need from us?
Access to the sources, and a decision about who may see what, because permissions belong in the design rather than bolted on afterwards. We also need a sample that includes the ugly cases: the scanned invoice, the document with three tables, the export nobody has opened in a year.
Who owns the code and the data?
You do. Pipelines run in your cloud accounts, the index and the extracted data stay in your storage, and nothing is sent to a provider you have not approved. Handover is the code, the data contracts, the runbook and a walkthrough.
Our documents are messy — is that a blocker?
No. Messy is the normal starting point, and it is why extraction is a pipeline rather than a script: layout detection, rules per document type, confidence scores, and a review queue for anything the pipeline is unsure about. We measure accuracy per document type on your own files before anything goes live, so you know where it is reliable and where a person still checks.

Not sure where to start?

Describe the problem in a few lines. You get a straight answer on what we would build and how long it takes.

Book a 5-minute growth call
Book a 5-minute growth call