We design, build, and operate intelligence platforms
for one specific organization, in its own industry.
Purpose-built
intelligence
A landscape
that is harder
to read.
A single post can shift how an organization is perceived within minutes.
Coordinated account networks manufacture volume where there is no conversation.
Dozens of sources say different things, and no one connects them in time.
Why now
The intermediary is now an assistant.
Anyone asking about an organization already gets an answer written by an AI. You need to know what it says, and which sources it draws on.
Part of the conversation is artificial.
Count volume without separating authentic from coordinated activity, and you get a precise number for something that never happened.
The language model is a commodity.
Anyone can license one. The advantage lies in the layer that knows the industry and decides which model handles each task.
Europe requires traceability.
GDPR and the EU AI Act ask where each conclusion comes from and who makes the call. Here, that is built in from the start.
We don’t sell data.
We deliver
understanding.
Definition
Purpose-built
intelligence platform
Software an organization owns. It captures its sources, maps them to a common schema, analyzes them with specialized AI agents, and delivers a recommended decision traceable to the source data.
Kuantia designs, builds, and operates them: artificial intelligence, data science, and strategic communications in a single team.
What it is not
A mentions dashboard.
It counts, but it doesn’t interpret.
A periodic report.
It arrives after the fact.
A language model with a different interface.
It has no data of its own and no memory of the industry.
Weak signals
are caught while
they are still weak.
How the platform works
The platform works in a cycle of seven steps: listen, normalize, understand, anticipate, decide, act, and learn. Capture of social, media, and proprietary sources is continuous, and every source is mapped to one common schema before it is analyzed. Every action feeds the next round of listening.
Six specialized AI agents analyze the same signal. One detects weak signals and volume anomalies, another classifies the emotional spectrum, and another extracts frames, arguments, and key actors; the rest cover artificial activity, verification, and the link to the historical record.
The six reports are cross-checked before they reach a person.
When to wait.
When to alert.
When to act.
Not every signal calls for action, and not every action should be public. Each signal ends in one of three outcomes, based on thresholds.
Silence
Noise is tagged and archived. This is the default.
Internal alert
With context, history, and a recommended response.
Public action
Always previewed before it is published.
99.97%
Service availability
87ms
Response latency (P95)
>93%
AI model precision
>97%
Detection coverage (recall)
100,000+
mentions analyzed per day, per platform
60 min
shortest data refresh cycle
9
languages, incl. Basque, Catalan, and Galician
6
industries in production
3
regions: Europe, the United States, and Latin America
In production, in six industries
and three regions.
Europe
United States
Latin America
The platforms are live, and client teams work with them every day.
For global brands, a single platform reads several countries, languages, and markets at once.
Purpose-built module
What it solves
Public institutions
Intelligence by project and by municipality
Perception, risk, and public acceptance of each initiative.
Infrastructure
Reputation cells for executives and operators
Protects the individuals whose damage would drag the institution down.
Corporations
Reputation index from 0 to 100 across six dimensions
Benchmarks each dimension against competitors.
Health and pharma
Employee voice with explainable AI
Measures adoption of a cultural change with live indicators.
Culture and film
Tax-incentive simulator and return per title
Turns reputation into a case for investors.
Public affairs
Geographic, industry, and microcultural segmentation
Detects demands that are not yet on the agenda.
We do not name our clients.
Confidentiality is part of the service: here we speak of industries.
How an AI assistant
describes you.
First impressions no longer come only from a search engine. They also come from an assistant.
The platform audits every search result and every assistant answer, fills information gaps with original sources, and measures regularly, model by model, what the assistants answer.
In production in six months.
Typical schedule. Two-week sprints, a demo every two weeks, and incremental deliveries you can verify.
Months 1–2
Foundations
Discovery, architecture, corporate access, and the first modules in use.
Months 3–4
Measurement
Analysis modules, the first version of the AI, and the executive dashboard.
Months 5–6
Optimization
Early warnings, user testing, training, and launch.
Afterward
Evolution
New modules, API integrations, and handover to full autonomy.
Every fact has a source.
The platform proposes.
A person decides.
Nothing ships unreviewed.
AI amplifies human judgment. It does not replace it.