RedactIX · Compliance & document redaction
A staffing operation handles IDs, contracts and time sheets. Those documents include personal and commercially sensitive information that mustn't follow the document downstream. Foundry built RedactIX, an internal Foundry product, and deployed it inside the customer's operation. It reads incoming documents, matches them against a worklist of fields that need to be redacted, and produces a clean, share-able version with the sensitive content removed or replaced.
- Sensitive fields leave the building
A staffing operation handles IDs, contracts and time sheets that carry personal and commercially sensitive information. It is content that mustn't follow the document downstream.
- Keyword redaction breaks on reality
Find-and-replace approaches break on scanned PDFs, foreign-language documents and inconsistent layouts. The fields move around; the keyword approach can't find them.
- Field-level redaction engine
Foundry built RedactIX and deployed it inside the customer's operation. It matches incoming documents against a worklist of fields to redact and produces a clean, share-able version.
- Scans, foreign-language PDFs handled
Because it works at the field level rather than the keyword level, it copes with the messy reality that breaks simpler redactors: scanned PDFs, foreign-language documents, inconsistent layouts.
More cases. More proof.
AI TransformationTaxi & mobility
A national taxi-fleet operator runs the operating layer behind a large share of the country's taxi fleet. That is three product lines spanning driver settlement, dispatch and B2B booking, and the data and processes that drive them had outgrown a one-team setup. Rather than fragmenting work across more developers, Foundry helped re-shape the organisation to be AI-leveraged: a Foundry-team Linear footprint, an agent-ready bridge into their existing stack, and Claude put into the hands of the people closest to operations.
AI TransformationCommercial kitchen supply
A commercial kitchen supplier's catalogue and pricing live in Navision, and quoting a full kitchen used to mean a sales rep digging through Navision by hand, copying numbers, and assembling a document. Foundry connected an AI layer on top of Navision: the rep describes the kitchen, the system searches the live catalogue, drafts the quote, and the rep approves. The pattern is in continuous operation under a drift agreement.
AI TransformationB2B sales (Navision)
A B2B sales team has a five-step sales process: qualify, scope, configure, quote, close. It was being run out of spreadsheets and a Navision instance that wasn't designed for it. Foundry automated the whole flow end-to-end: a dashboard surfaces the live pipeline, a structured questionnaire captures customer context as deals move forward, and an AI layer produces the sales recommendation based on what's been entered and what Navision already knows.
AI TransformationSkilled-trades staffing
A ~45M DKK staffing organisation placing foreign craftspeople on Danish hospital builds was running the operation on a patchwork of spreadsheets and ad-hoc tools. Foundry delivered an administration system. It is the operational backbone the organisation now runs on, covering placement, time, billing and the document trail that holds it all together.
AI TransformationLexIX · Legal tech
Lawyers spend disproportionate amounts of time reading contracts looking for the bits that aren't standard. LexIX flips it: the user supplies the firm's own contract standards, and the system reads incoming contracts, highlights the deviations, and explains why each one matters. Under the hood it's retrieval-augmented review over the user's own corpus. Their standards become the index, and the system does the matching.