AI Research at Digicust
Pioneering the future of customs automation through cutting-edge AI research and innovative technology development
Research-driven AI solutions • TÜV SÜD certified • Global impact
Our Research Mission
At Digicust, research isn’t just a department—it’s the foundation of everything we do. We’re constantly exploring how agentic AI, natural language interfaces, and large-scale content understanding can streamline and simplify global trade.
Our research team works at the intersection of artificial intelligence, customs regulations, and international trade, developing innovative solutions that transform how businesses handle customs processes worldwide.
Core Research Pillars
Our research is organized around seven fundamental pillars that drive innovation in AI-powered customs automation and international trade.
Agentic AI
We build on agentic large language model architectures that determine their own control flow. Instead of hard‑coding procedures, our agents decide what to do next—making them inherently more resilient to new document types, regulatory updates, and entirely novel use cases.
Natural‑Language Interface
Our users 'program' behaviour with plain English (or any supported language). We invest heavily in instruction‑following research so that the system reliably understands, interprets, and executes what you ask—no prompt‑engineering PhD required.
BigDog: Unbounded Context Handling
BigDog is our in‑house framework that lets zero‑touch agents process documents with thousands of pages or line items without performance degradation. Traditional context‑window limits stop being the bottleneck, so your largest PDFs, Excel files, emails, or JSON payloads are handled end‑to‑end.
Content Understanding Without Limits
Whether it's bulk PDFs, spreadsheets, email threads, or semi‑structured JSON, Digicust ingests and understands it automatically—no human in the loop. Our models normalise, cross‑reference, and reason over mixed formats to deliver clean, actionable data every time.
Internationalisation & Rapid Scalability
New markets, new procedures, new partners—standing up compliant workflows takes days, not months. Our architecture is built for instant localisation and rapid replication, so scaling internationally is a solved problem, not a roadmap item.
Deep Customs Expertise
Our founders started as customs brokers. We've personally handled hundreds of thousands of declarations and plugged into dozens of national and third‑party customs systems. That hands‑on know‑how shapes every feature we ship. We turn real rules and edge cases into code, so the tech does what a seasoned broker would—only faster and at scale.
Tariff Classification Intelligence
Our classification engine blends agentic reasoning with domain-specific taxonomies to pinpoint the correct HS/commodity codes—at scale and with auditability. Parses product descriptions, specs, and attachments in any format, cross-references multi-jurisdictional nomenclatures and legal notes, and explains its decision path so compliance teams can trust and verify.
Research Areas
Our research spans multiple domains, from global trade intelligence to security and compliance, ensuring comprehensive solutions for the customs industry.
Global Trade Intelligence
Advanced AI models that understand international trade regulations across multiple jurisdictions and adapt to changing compliance requirements in real-time.
- Multi-jurisdictional compliance
- Real-time regulation updates
- Cross-border trade optimization
Document Processing Research
Cutting-edge research in document understanding, extraction, and validation for customs and trade documents.
- Multi-format document parsing
- Intelligent data extraction
- Automated validation systems
Security & Compliance AI
Research focused on ensuring AI systems meet the highest standards of security, privacy, and regulatory compliance.
- GDPR-compliant processing
- Audit trail generation
- Secure data handling
Knowledge Graph Research
Development of sophisticated knowledge graphs that connect trade regulations, product classifications, and compliance requirements.
- Semantic understanding
- Relationship mapping
- Dynamic knowledge updates