Fieldable: custom document automation
Custom document automation for teams that run on paperwork
Fieldable builds and runs custom document automation for companies that handle serious volumes of paperwork. We take the invoices, contracts and other business documents you already work with, turn them into reliable structured data, and push that data into the systems your team uses every day.
We’re not a SaaS signup. Each build is tailored to one client, tuned on their own documents, and deployed where it makes sense — as a managed service or in your cloud. You pay for documents processed, not for development hours.
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Invoice and AP automation
We design and run invoice data extraction for teams that process supplier invoices at volume. From capture to posting into your ERP, tuned on your own documents and edge cases.
What Fieldable builds
Document pipelines for accounting firms
We build document pipelines for accounting firms: capture from email, classify, extract fields, and deliver clean data into the tools your staff already uses.
Custom extraction for contracts and records
We extract the fields that matter from contracts and other records, then push them into CRMs, ERPs or internal systems so your team doesn’t have to retype them.
Deployment in your cloud or as a managed service
We can host the document‑processing API for you as a managed service, or deploy it into your own cloud tenant — Azure, Google Cloud or other infrastructure.
Ongoing tuning and support
We stay involved after go‑live: monitoring, correcting edge cases with you, and tuning the system so accuracy and throughput stay where you need them.
Catalin Crisan
What I actually do
I help teams stop wrestling with documents and data pipelines. Less copy‑paste, fewer mystery spreadsheets, more systems that just work.
Who I Am
I’ve spent more than 10 years working with structured and unstructured data in high‑stakes environments: banking, insurance, betting, and large enterprises.
Before Fieldable, I led data and analytics work for ING, APG, Rabobank, Paddy Power Betfair, Emerson, and others — designing data warehouses, mapping and validating regulatory data, and making sure critical numbers were right before they reached regulators, finance, or risk.
That background is why Fieldable focuses on document automation that actually fits into real systems: clean mappings, traceable logic, and results you can trust in finance and operations, not just a demo that looks good once.
Methodology
I don’t drop in a black‑box model and disappear.
Every project follows the same loop:
1. Understand the work – We map your real process: where documents come from, who touches them, and where the data needs to end up.
2. Design the pipeline – We define the fields, rules and checks, then build a document‑processing API that fits your systems.
3. Test together – We run your own documents through it, fix what’s off, and only move forward when you’re happy with the results.
4. Deploy and tune – We deploy as a managed service or in your cloud, then keep tuning accuracy and performance as volumes grow.