In an age when information is abundant but understanding remains scarce, one of Galway’s most intriguing technology companies has built its business around a deceptively simple question: how do you find the connections hidden inside enormous volumes of data?
That question sits at the heart of Siren, the investigative intelligence and cybersecurity company that has grown from academic research in Galway into an international technology business serving some of the world’s most demanding investigative environments.
Founded in 2014 by Giovanni Tummarello and Renaud Delbru, Siren emerged from research carried out at the National University of Ireland Galway, now the University of Galway, in an environment where computer scientists were wrestling with one of the early promises — and problems — of the internet: how to make interconnected information searchable.
The roots of the company reach back even further, to the university's Data Intensive Infrastructure research group and its work on the Semantic Web. Alongside collaborators including researchers at the Massachusetts Institute of Technology, the team explored how vast quantities of distributed information could be indexed and searched according to not only the words they contained, but the relationships between the things those words described.
That work produced Sindice, an ambitious Semantic Web search project designed to crawl and index interconnected information at extraordinary scale. Beneath it was an important piece of engineering: the Semantic Information Retrieval Engine, or SIREN.
The idea would eventually become the foundation of the company bearing its name.
From search to intelligence
The problem Siren's founders were tackling was one that remains remarkably relevant. Traditional search engines are exceptionally good at finding information. Databases are good at storing structured records. Graph technologies are powerful for understanding relationships. But real-world investigations rarely fit neatly into any one of these categories.
An investigator might begin with a name, discover an email address, follow it to an organisation, connect that organisation to a bank account, associate the account with a transaction and then uncover links to a series of IP addresses, companies, locations or individuals.
The information may exist across databases, documents, logs and other sources. The challenge is not simply finding each individual piece. It is understanding how they relate to one another.
Siren's technology was designed around that problem.
Its platform combines search, knowledge graphs, link analysis, entity resolution and natural-language processing into what can effectively function as a unified investigative workbench. Instead of requiring organisations to move all their information into a new data store, Siren is designed to sit across existing data infrastructure and provide investigators with a common layer through which that information can be searched and analysed.
The distinction is important. In an investigation, a connection that is invisible in a conventional table can sometimes become obvious when the same information is represented as a network.
A person can be connected to a company. The company can be connected to an address. That address can be connected to another person. A transaction can connect both organisations. An IP address can connect an online identity to a physical event.
Siren's technology is intended to make those relationships searchable and visible.
The science behind the system
Several capabilities sit at the centre of the platform.
Link analysis allows investigators to explore relationships between entities, turning complicated collections of records into networks that can be examined visually.
Entity resolution tackles another perennial investigative problem: determining when different records refer to the same underlying person, organisation or object. Names can be misspelled, identities can have aliases, companies can have subsidiaries and information can be recorded differently in separate systems. Connecting those fragments can transform an apparently disconnected collection of records into a coherent picture.
Natural-language processing extends the analysis beyond structured databases. Investigative information often exists in reports, documents, filings and other forms of unstructured text. Extracting entities and relationships from that material can make it possible to incorporate information that would otherwise remain difficult to search systematically.
And then there is the underlying search architecture, which remains central to Siren's heritage. The company's technology grew from research into performing sophisticated relationships and joins across enormous collections of information, bringing together the traditionally separate worlds of search and graph analysis.
It is a distinctly deep-tech story: an academic problem leading to an architectural innovation, which in turn became a commercial product.
From university spin-out to global company
Siren formally emerged as a company in 2014 and moved into full commercialisation in 2016. The business subsequently brought in John Randles as chief executive, adding experience from the Irish technology sector as the company began building its international presence.
Its focus also became increasingly specialised.
Rather than attempting to compete as a general-purpose search technology, Siren concentrated on environments where understanding relationships between data can have operational consequences: law enforcement, national security, public safety, fraud investigations and cyber threat intelligence.
That focus has brought the company into partnerships involving organisations working on issues such as human trafficking and child protection, including the Anti-Human Trafficking Intelligence Initiative and National Child Protection Task Force.
These applications illustrate the broader proposition behind the technology. The value of investigative intelligence is not simply that an organisation possesses more information. It is that investigators can interrogate large and complex bodies of information and identify connections that might otherwise remain buried.
Galway at the centre
For all of Siren's international ambitions, Galway remains central to its identity.
The company is part of a technology ecosystem that has developed around the city's universities, research institutions, start-up community and organisations such as the PorterShed and Galway Innovation District.
That makes Siren an interesting example of the type of company that Ireland's regional technology sector can produce. Its origins were not in a conventional software business looking for a university research project to commercialise. The intellectual property and technical foundations emerged from advanced research in Galway and were subsequently shaped into a product for a specialised global market.
Its growth has attracted significant financial backing. Investors have included Frontline Ventures, Atlantic Bridge, DVI Equity Partners and Enterprise Ireland, while in 2023 Siren secured €12 million in financing from the European Investment Bank. The company has also reported substantial revenue growth, continued patent activity and recognition through the Deloitte Technology Fast 50.
Its workforce has grown beyond 70 people, creating a technology employer in Galway whose work reaches far beyond the west of Ireland.
A different kind of cybersecurity company
Siren sits at an interesting intersection between cybersecurity, data analytics and intelligence.
It is not simply about protecting a network from an attack. It is about giving investigators a way to understand the increasingly complicated digital and physical ecosystems in which threats operate.
That distinction is becoming more important as the boundaries between cybercrime, financial crime, organised crime and conventional intelligence become increasingly blurred. A suspicious transaction may be connected to an online identity. A cyber incident may reveal infrastructure associated with other attacks. A seemingly insignificant piece of information may become important when connected to dozens of other records.
The central challenge is therefore no longer simply collecting data.
It is making sense of it.
That is the problem Siren began exploring in Galway's research community more than a decade ago. What started as an attempt to make the emerging Semantic Web searchable evolved into a technology designed to help investigators navigate some of the world's most complicated information environments.
And perhaps that is the most compelling part of Siren's story.
Its journey illustrates how an idea born in an academic research laboratory can travel a long way when the underlying problem proves universal. From the early experiments of Galway researchers and their international collaborators, through the development of SIREN and the company's commercial spin-out, to today's investigative intelligence platform, the trajectory has been one of turning complexity into something that humans can explore.
In a world overflowing with data, the most valuable discovery may not be another piece of information.
It may be the connection between the pieces already there.
