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Peek:
From unstructured content to strategic insight

Extract facts. Instantly.

Peek is an AI-powered platform that extracts and consolidates facts from text in real time. It turns noisy, unstructured content into structured insights, ready for analysis or reporting.

• Monitors trends, events, and emerging signals
• Works on open-source, proprietary, or streaming content
• Cuts time spent on manual filtering by 90%

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Peek automates the extraction of key facts from any volume of text.

Names, dates, facts, and more are instantly surfaced, structured, and ready for action-freeing analysts from manual tasks.

Explore your data from every angle.

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Conversational Interface
Ask questions and receive factual answers. Turn exploration into a smooth dialogue.
Document Exploration
From posts to web articles, instantly spot the facts that matter.
Taxonomy
Structure information with your own semantic categories. Explore and organise content based on what matters to you.
Statistics
Generate aggregated views and statistical breakdowns from noisy, unstructured data.
Influencers
Identify key influencers – from experts to niche voices – and map their impact across sources.
Extraction
Automatically extract entities, relationships, and timelines from text to accelerate your analysis.
Monitoring
Track the evolution of topics, terms, or events over time with customised alerts and dynamic overviews.
Relation Exploration
Explore how people, organizations, and ideas are connected - visually uncover networks and hidden links within your data.
Visualisation
Explore events through a map interface.

How does Peek perform in the real world?

Discover how teams across industries used Peek to overcome complexity, noise and delays.

Manufacturing Industry

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NGOs
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Nutrition ➜
Pharmacovigilance ➜
Finance / Asset Management ➜
Journalism & Media ➜
Innovation Policy ➜
Public Sector ➜
Societal Concerns ➜

Want to explore how Peek fits your use case?

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From raw data to structured insight - effortlessly.

Sitting between your data sources and your decision tools, Peek extracts key facts, classifies and enriches them using AI and domain-specific taxonomy. Whether you’re monitoring news, documents, or records, Peek delivers clean, context-aware outputs to dashboards, briefs, and APIs – cutting manual filtering time by 90% and freeing your analysts for what truly matters.

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What makes Peek special

Full Automation

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Experience unprecedented efficiency with our unique capability to automatically detect and consolidate facts from diverse sources.

Unmatched Capability

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Extract any type of fact from diverse sources, transforming raw data into structured, actionable insights.

Seamless Integration

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Integrate Peek effortlessly into existing systems via API or customize user interfaces to meet specific analysis needs.

Time Savings

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Reduce fact extraction time by factors of 10 to 100, allowing analysts to focus on deriving business insights.

Public Sector

Tracing how institutional messages evolve across public narratives

Context
When the Yellow Vests movement emerged in France, public institutions struggled to make sense of its rapidly evolving demands. Messages appeared across Facebook groups, public forums, YouTube comment sections, and regional online press – unstructured, emotionally charged, and often contradictory.
Traditional monitoring approaches were ill-suited to grasp the fluid, decentralized nature of this discourse.

Approach
Peek was used to ingest and analyse thousands of publicly accessible posts and comments from a wide range of open sources. It automatically identified recurring terms, shifts in tone, and semantic clusters – revealing thematic branches such as tax resistance, institutional mistrust, and direct democracy demands.
Using Peek’s timeline and mapping capabilities, analysts could follow how ideas evolved over time and how they were differently framed across regions.

Outcomes
Instead of reacting to isolated slogans, decision-makers gained a longitudinal, nuanced view of the movement’s internal dynamics – without infringing on private conversations.
This perspective helped shift public messaging strategies and informed more context-aware policy discussions around democratic engagement and social cohesion.

Sector: Societal Concerns

Tracing how institutional messages evolve across public narratives

Context
A university research group set out to study how public messages from Pope Francis – including encyclicals, official speeches, and papal addresses – were received, reframed, or reinterpreted once they entered the wider media and civil conversation space.
While the Vatican’s communications were clearly documented, their dissemination path was fragmented: covered by international press, interpreted by commentators, echoed or contested on blogs, YouTube, and public forums – each adding new layers of meaning.

Approach
Peek was used to ingest the original papal documents, and compare them with thousands of public reactions in multiple languages: news articles, blog posts, open opinion columns, and social media discussions.
Using semantic clustering, tone analysis and term tracking, Peek helped map how key messages (such as climate responsibility, synodality, or social justice) were echoed, reframed, or challenged.
The platform also surfaced regional differences in interpretation, shifts in framing over time, and amplification patterns across different actor types (media, citizens, activists).

Outcomes
Instead of relying on manual qualitative sampling, researchers gained a macro-level view of how a single voice – in this case, the Pope’s – fragmented into multiple, sometimes conflicting, narratives once it entered the public sphere.
Peek revealed the dynamics of symbolic appropriation, agenda-setting, and discursive drift – with full traceability to open sources.
The research team used these insights to support a longitudinal study on religious discourse in digital public space, combining computational methods with interpretative analysis.

Sector: Finance / Asset Management

Delivering Portfolio-Relevant Market Signals with Minimal Delay
Context
In dynamic financial markets, portfolio managers face the challenge of filtering critical developments from a flood of global information. Standard news feeds and alerts often lack specificity, providing either too much irrelevant content or missing subtle events that affect particular holdings.
To improve responsiveness, asset managers seek targeted updates aligned with their actual portfolio exposures.
 
Approach
Peek monitors a broad range of public financial sources – including news articles, earnings releases, analyst notes, and regulatory updates – and links relevant content to the specific assets, sectors, and geographies in a given portfolio.
The system identifies material changes, emerging risks, and contextual events, surfacing only those developments that match predefined relevance profiles.
Signals are grouped thematically and can be routed separately for tactical attention or longer-term monitoring.
 
Outcomes
Portfolio managers gain timely, curated insights that reduce reaction time and improve focus on developments that truly matter to their positions.
This enhances both strategic awareness and short-term agility, while reducing information overload.
By aligning open-source monitoring with portfolio structure, asset managers benefit from a more responsive and efficient information environment.
Sector: Pharmacovigilance
Enhancing Vaccine Safety Monitoring with Early Signals from Public Sources
Context
A global health organization sought to improve its visibility into adverse effects related to COVID-19 vaccines and treatments. While internal reporting systems provided essential pharmacovigilance data, they often suffered from time delays and underreporting – particularly in rapidly changing local contexts.
In contrast, media and social platforms sometimes surfaced early indications of issues that had not yet entered official channels.
 
Approach
Using Peek, the organization monitored public information from news outlets, health forums, and social media across multiple languages and regions.
The system extracted structured references to specific drugs and vaccines, associated symptoms, and affected geographies. It grouped these signals into trends, enabling analysts to detect patterns in how adverse effect discussions evolved – and to link them to particular products or contexts.
 
Outcomes
The monitoring process helped identify early signals of adverse reactions that complemented and, in some cases, preceded internal reports.
It also provided visibility into regional variations and public discourse around vaccine safety, allowing the organization to focus follow-up investigations where needed.
This approach supported a more proactive safety posture by combining traditional reporting with open-source situational awareness.

Sector: Journalism & Media

Streamlining Fact-Checking Across Fragmented Online Sources
Context
In an information environment where rumors and manipulated content spread rapidly, independent newsrooms face mounting challenges in verifying claims circulating across Telegram channels, fringe blogs, and mainstream social media.
Verifying these claims often involves navigating a tangle of screenshots, reposts, out-of-context quotes, and anonymous assertions – with little visibility into where and how narratives originate.
 
Approach
Peek can support fact-checking workflows by continuously monitoring public sources and structuring emerging claims. It identifies clusters of similar messages, traces the visible propagation path of assertions, and flags the earliest known instances of specific content.
By surfacing contradictions and pointing to likely source patterns, the system aims to help fact-checkers reconstruct information flows more efficiently – without relying on opaque tools or private data.
 
Potential Benefits
Editorial teams using this approach could reduce the time spent piecing together narrative chains, especially in high-volume situations.
The added visibility into how claims evolve across platforms may improve both the speed and transparency of verification work.
While actual gains vary by context, structured monitoring can help strengthen editorial credibility and support more resilient public discourse.
Sector: Innovation Policy 
Anticipating Technology Trends through Structured Open-Source Monitoring
Context
A public organization tasked with supporting industrial innovation seeks to anticipate key technology trends across multiple sectors. Its goal is to provide early insights into emerging technologies, research hotspots, and influential actors – so that national industry can align investments and strategy with upcoming developments.
Traditional approaches to technology foresight rely on static datasets or slow expert consensus, often missing fast-moving shifts visible in the open domain.
 
Approach
With Peek, the organization continuously monitors a wide range of public sources – including research publications, innovation blogs, patent databases, expert commentary, and sector-specific news.
The system maps emerging technologies, clusters of innovation activity, and the institutions, firms, and researchers driving them. It identifies patterns of attention and growth across domains, providing structured intelligence aligned with strategic priorities.
 
Outcomes
The organization produces timely, evidence-based reports that highlight where and by whom key technological advances are taking shape.
These insights help guide industrial stakeholders in setting R&D priorities, locating potential partners, and anticipating competitive shifts.
By turning fragmented public signals into actionable foresight, the organization strengthens the country’s innovation strategy and industrial resilience.
Sector: Nutrition
Mapping Public Perception on Artificial Meat through Social Media Monitoring
Context
A major food distributor is preparing to expand its portfolio with artificial meat products. While internal research supports the business case, public perception remains a critical unknown.
Concerns around price, health, environmental impact, and ethics vary widely – and influence both consumer acceptance and regulatory sentiment.
To inform product strategy and communication, the company seeks to understand how these topics evolve across different audiences and regions.
 
Approach
Using Peek, the distributor monitors public discussions on artificial meat across social media platforms and online news. The system identifies and categorizes key narratives, spotlighting recurring concerns, sentiment shifts, and regional patterns.
Content is automatically grouped into themes such as health, ecology, animal ethics, pricing, and innovation – allowing strategic teams to track how different issues gain or lose traction over time.
 
Outcomes
Decision-makers receive regular, structured insights into public debates – not just isolated opinions but evolving trends.
This enables the company to anticipate resistance, identify opportunities for targeted communication, and tailor product rollout strategies to local sensitivities.
By integrating social insight into strategic planning, the distributor strengthens its positioning in a rapidly evolving market.
Sector: Manufacturing industry
Staying Ahead of Cyber Threats through Sector-Specific Public Data Monitoring
Context
An industrial enterprise with global operations needs to stay alert to the evolving cybersecurity landscape. The security team is tasked with tracking new cyberattacks, emerging vulnerabilities, and active malware groups – especially those targeting their sector or regions where the company operates.
Yet critical information is fragmented across press articles, technical blogs, security forums, and social media, making it difficult to maintain a clear and timely overview. At the same time, raising awareness across the broader organization is essential to foster a security-conscious culture.
 
Approach
Using Peek, the enterprise continuously collects and analyzes public information from diverse sources – including news, expert blogs, and social media. Relevant content is filtered and structured by sector, geography, threat type, and actor profiles.
Updates are delivered in a targeted way: the security team receives focused briefings on high-priority developments, while a broader stream of curated content supports awareness across the company.
 
Outcomes
The security team gains rapid access to verified signals from the open web, helping them anticipate threats and adapt defenses before internal systems are affected.
At the same time, employees across departments become more attuned to the cybersecurity environment through regular, accessible updates.
This dual-channel approach strengthens both technical preparedness and organizational resilience.
Sector: NGOs
Accelerating Crisis Response through Multilingual Public Data Structuring
Context
In the early stages of a fast-moving humanitarian crisis, a global NGO faces a deluge of fragmented updates from public channels – regional press dispatches, social media posts, message boards, and open field bulletins.
Crucial information about local conditions, urgent needs, risks, and community sentiments is scattered across languages, formats, and regions, making timely synthesis both necessary and challenging.
Compounding the complexity is the presence of harmful narratives and concerns about how beneficiaries perceive the NGO’s actions on the ground.
 
Approach
Peek continuously ingests and processes multilingual open-source content, structuring it into actionable insights. It extracts and organizes elements such as locations, actors, dates, and recurring themes, and clusters them into evolving situational patterns.
This includes identifying both operational signals and reputational issues, enabling the NGO to monitor how its presence is perceived and to respond proactively to misinformation or harmful discourse.
 
Outcomes
Instead of relying on delayed manual synthesis, decision-makers receive updated summaries within a much shorter timeframe.
The coordination team gains a near real-time overview of developments and emerging risks – based entirely on public data.
This improves the speed and transparency of response planning, especially in settings where rapid decisions and community trust are essential.