SINDICE LIMITED

Their core work

Sindice is an Irish technology SME specializing in large-scale data analytics, semantic web technologies, and intelligence platforms. Their work spans from multilingual big data analytics and emotion analysis to fake news detection and digital forensics evidence management. They build software infrastructure that processes, correlates, and makes sense of massive unstructured datasets — increasingly applied to law enforcement and security contexts.

What they specialise in

How they've shifted over time

Sindice began in the big data analytics space with MixedEmotions (2015), focused on social media sentiment and emotion analysis for commercial markets. By 2018-2019, their work shifted decisively toward security-critical applications: first disinformation detection (FANDANGO), then digital forensics for law enforcement (INSPECTr). This trajectory shows a clear move from general-purpose data analytics toward trust, verification, and security intelligence — with growing project budgets matching the increasing complexity.

Sindice is moving firmly into the security and law enforcement technology space, applying their data analytics core to evidence management and intelligence platforms.

How they like to work

Sindice operates exclusively as a consortium participant, never as coordinator, which is typical for a specialized technology SME contributing specific technical components. With 34 unique partners across 16 countries from just 3 projects, they work in large, diverse consortia — averaging over 11 partners per project. This suggests they are comfortable integrating into complex multi-partner environments and delivering defined technical work packages.

Despite only three projects, Sindice has built a broad network of 34 partners across 16 countries, indicating involvement in large pan-European consortia with wide geographic spread.

What sets them apart

Sindice brings a rare combination of semantic web and big data expertise applied to security and trust verification problems. Their evolution from commercial analytics to forensics platforms means they understand both the data science fundamentals and the strict requirements of law enforcement tooling. For consortium builders, they offer a proven ability to deliver data analytics components within large security-focused projects.

Highlights from their portfolio

• INSPECTr
  Their largest-funded project (EUR 557K), building an intelligence platform for digital forensics evidence correlation — marking their entry into the security sector.
• FANDANGO
  Applied big data and AI to fake news detection, representing the pivotal transition from commercial analytics to trust and verification applications.