Our Projects
Discover how we help businesses grow with custom-built technical solutions.
SharePoint Knowledge Layer
Permission-aware semantic search across 50,000+ SharePoint documents. Search time dropped from 12 minutes to 45 seconds, with zero permission violations in production.
Average document search time dropped from 12 minutes to 45 seconds:
Search success rate improved from ~60% to 95%:
Multi-Brand AI Customer Support
Multi-tenant AI customer service platform for a Dutch energy retailer operating 20+ whitelabel brands. Each brand gets its own tone, knowledge base, and escalation logic — powered by a single LangGraph pipeline with Azure OpenAI and deep CRM integration.
The platform handles the majority of incoming customer inquiries across 20+ brands without human intervention:
Average response time dropped from hours to under 30 seconds for chat and minutes for email:
Sovereign AI Infrastructure
Private AI platform for a global maritime engineering company. Open-source models running on-premise with Kubernetes — zero data leaves the building.
Fully operational private AI platform running inside client infrastructure with zero external data transfer:
Engineering teams using RAG-based document search across technical manuals and project archives:
AI-Powered Customer Support Agent
A Proof of Concept for a telecom provider: an AI agent that classifies incoming support requests, resolves common Tier-1 issues autonomously, and routes complex cases to the right human agent — with full context.
During the PoC validation against 500 historical tickets, the AI agent correctly resolved 38% of Tier-1 issues without human intervention:
Intent classification accuracy reached 91% across the tested categories:
The 'Brand Voice' Content Factory
A 4-week Proof of Concept showing how a RAG-based pipeline can turn raw product data into on-brand, SEO-aware descriptions — consistently and at scale.
PoC results after 4 weeks on a 200-SKU sample set: Approval rate: 72% of generated descriptions approved by editors with minor or no edits — validating the approach for production scale-up.
Speed: Average generation time of 8 seconds per SKU vs.
The CSRD Reporting Agent
A 4-week Proof of Concept showing how a RAG-powered agent can turn raw ESG data and CSRD requirements into consistent, audit-ready narrative sections — giving sustainability teams a solid first draft instead of a blank page.
The PoC demonstrated that AI-generated first drafts can cut the narrative writing phase by roughly half:
For the 8 topics tested, the team estimated they saved 3-4 days of writing time:
The Legal Review Guardian
A 4-week Proof of Concept for an AI agent that reads contracts against a firm's own playbook, flags deviations and suggests alternative language — so lawyers start with a risk summary instead of reading from scratch.
The PoC showed that AI-assisted contract review can cut initial scanning time by roughly half:
For the 15 contracts tested, lawyers estimated they saved 30-45 minutes per document on first-pass review:
The 'Logistics Brain' Knowledge Base
A PoC for a RAG-powered knowledge layer that lets logistics employees ask operational questions in natural language and get cited answers from their own internal documentation.
Answer relevance: 84% of answers rated 'useful' or 'correct' by the pilot group, based on 120+ queries during the 2-week test period.
Time saved: Pilot users reported finding answers in under 30 seconds for questions that previously took 15-20 minutes of searching or asking colleagues.
The 'No-Touch' Document Processor
A 4-week PoC demonstrating how multi-modal AI can read logistics documents — waybills, CMRs, packing lists — extract structured data, and validate it against business rules before ERP entry.
Extraction accuracy: 91% of fields correctly extracted across the test set of ~200 documents, including scanned and photographed originals.
Validation catches: The validation layer flagged 23 mismatches that would have been missed in manual processing during testing.
The Smart KYC Analyst
A 4-week Proof of Concept demonstrating how an AI agent can automatically screen clients against sanction lists and public sources, producing structured risk profiles that analysts can review and approve.
This PoC demonstrated that AI-assisted KYC screening is viable for production use:
The agent reduced dossier preparation time from ~3 hours to ~45 minutes per client during testing, while maintaining full traceability back to source documents:
The 'Spec Sheet' Analyzer
A 4-week PoC showing how AI can extract technical parameters from complex PDF datasheets, validate them against project requirements, and generate structured comparisons across suppliers.
Review time: Reduced initial spec review from ~2 hours to ~15 minutes per document during the PoC — engineers still verify the output, but start from a structured summary instead of a raw PDF.
Coverage: The tool caught 4 spec deviations across the test set that the engineering team confirmed they would likely have missed in manual review.
The 'Ultimate Bid Writer'
A 4-week PoC demonstrating how RAG-powered AI can turn an RFP into a structured first-draft proposal by matching tender requirements to internal case studies and CVs.
PoC results from 5 historical tenders replayed through the pipeline: Draft quality: Bid managers rated AI drafts at 3.8/5 average vs.
4.5/5 for their manually written winning proposals — a usable starting point that eliminates the blank-page problem:
The 'Woo' Redaction Assistant
A 4-week Proof of Concept showing how NER and LLM-based classification can pre-mark sensitive information in government documents for Woo (FOIA) requests — keeping humans in control while cutting review time.
PoC results on 150 documents from a completed Woo request: Recall: The pipeline detected 89% of PII entities that human reviewers had originally marked — meaning fewer items slip through.
Precision: 78% of AI-suggested redactions were accepted without change, reducing false positives to a manageable review load.