What technology watch and competitive intelligence software is

What is watching, according to the UNE 166006 standard?

In Spain the reference is the UNE 166006:2018 standard, ‘R&D+i management: watch and intelligence system’, published by UNE on 18 April 2018 and in force. It supersedes the 2011 edition^[1]. AENOR, which has certified watch systems since 2007, summarises it as follows: it allows the systematic observation and search for signals of change and novelties, capturing information, selecting it, analysing it, disseminating it and monitoring its use, so as to turn it into knowledge that enables decisions to be made^[3].

The 2018 edition introduced two changes worth knowing about. It unified watch and intelligence into a single process and removed the adjectives ‘technological’ and ‘competitive’, and it adopted the common high-level structure of ISO management system standards, which makes it easier to integrate with ISO 9001 or UNE 166002^[2]. Internationally, ISO 56006:2021 gives guidance on managing strategic intelligence within innovation management, and stresses that it is not limited to a single department^[4].

Which functions must watch software cover?

The standard groups the process requirements into control of information sources, search, processing, value-adding, distribution and storage^[2]. Useful software covers these functions in a connected way:

1. Source management. Knowing what is watched: press and websites, patents (for example Espacenet, from the European Patent Office), official gazettes such as the BOE or the Official Journal of the EU, tender platforms, competitors’ websites and specialist sources.
2. Continuous capture of those sources, without relying on someone launching a search.
3. Filtering with explicit criteria that anyone can read and correct.
4. Processing: grouping duplicates and classifying each publication so that it can be reviewed faster.
5. Human validation: someone with judgement decides what is a signal and what is noise.
6. Storage of what has been validated in a common repository, with its source and context.
7. Distribution to each recipient, for example through newsletters.

How does it differ from a search engine, an alert or an AI assistant?

All four tools retrieve information, but they meet different needs. The difference lies in continuity, memory and in who decides.

Why does early detection change the value of information?

In 1975 Ansoff argued that organisations can prepare for strategic surprises if they respond to weak signals while the information is still incomplete^[5]. A published patent application, a ministry’s public consultation or a tender with a new technical requirement usually appears months before the change reaches the general press. The software does not interpret those signals; it makes sure they reach those who know how to interpret them while there is still room to act.

Mistakes that make an implementation fail

• Choosing by number of sources. What counts is whether the ones that matter to your decisions are there, and whether you can see which ones they are.
• Measuring by volume. Receiving more articles does not mean being better informed; the useful indicator is how much of what is received is used to decide.
• Configuring before defining needs. Without knowing which decisions the watch is meant to support, any filter is arbitrary.
• Leaving what is validated in email. Without a common repository, the organisation loses its history with every change of team.
• Accepting summaries without sources. A summary that does not link to the original publication cannot be checked or cited.

Questions for evaluating a provider

1. Does it cover the whole cycle, from sources to distribution, or only part of it?
2. Can you see which sources are watched, and ask for others to be added?
3. Does each signal link to the publication it comes from?
4. Who decides what is published and who receives it: the tool or your team?
5. Is what has been validated kept as a searchable history available to the whole area?
6. Does it use your organisation’s data to train AI models?
7. What certifications does it hold, and can you verify them? Under Spain’s National Security Framework (ENS), systems in the MEDIUM or HIGH category need an audit to certify their conformity; those in the BASIC category need a self-assessment^[7].
8. Can you operate it with your team, outsource it to a managed service, or combine both? UNE 166006 can also be used as a purchase specification when contracting watch services from third parties^[3].

How Innguma covers each function

Innguma is a Technology Watch and Competitive Intelligence platform that monitors sources, filters and structures information with AI, keeps the history, and makes it easy to analyse and distribute. It monitors news and websites, patents, regulation and the BOE, tenders, competitors’ websites and specialist sources. Factory, the space where Innguma processes and structures signals, brings together capture, filtering, AI classification and validation; the AI groups duplicates and classifies each signal by category, technology, entity, type of event, place and tone. The Library keeps what has been validated, with its tags, comments and source, and newsletters with AI-generated summaries are sent from it.

People decide what is watched, what is published and who receives it, and Innguma does not train AI models on its customers’ data. Innguma offers connectivity through the Model Context Protocol (MCP), currently compatible with ChatGPT, Claude, Microsoft Copilot and Gemini; MCP is an open standard for connecting AI applications to external systems^[6]. Your AI provides analytical capacity. Innguma provides context.

Innguma’s technology watch and intelligence system is certified under UNE 166006:2018 (certificate 34/5705/25/01139, OCA Global, valid until January 2028), and the systems that support its managed watch services are certified under Spain’s National Security Framework (ENS) at MEDIUM level (certificate 34/5704/24/05039, valid until June 2028)^[7]. Do it with your team or with ours.