Discuss an analysis

SOCIAL · WEB · VIDEO · DATA

FROM DATA TO Clear Signals. Better DECISIONS.

01 COLLECT THE DATA SOCIAL + PUBLIC WEB
02 VIDEO BECOMES DATA TRANSCRIBE + STRUCTURE
03 CONNECT NETWORKS ANALYZE + MONITOR
Discuss an analysis Scroll to data sources
Hours of video analysed
1,000h+
Texts/transcripts analysed
30,000+
Websites evaluated
10,000+

[ What we deliver ]

From raw data to a complete intelligence system.

  1. Raw Data

    We collect data from social media, websites, documents, video, audio, forums, public communities and other relevant sources, then turn it into structured datasets.

    Outputs

    • CSV
    • TSV
    • Excel
    • JSON
    • XML
    • Databases

  2. Analysis

    We investigate patterns, actors, networks, narratives, developments and relationships to answer specific strategic, investigative or operational questions.

    Outputs

    • Analyses
    • Reports
    • Visualisations
    • Networks
    • Data Models
    • Traceable Evidence

  3. Monitoring

    A one-off investigation becomes a continuous process. Relevant sources are collected regularly and checked for changes, new actors, narratives and other defined signals.

    Outputs

    • Dashboards
    • SaaS
    • Interactive Search
    • APIs
    Explore monitoring

  4. Systems

    When standard software is not enough, we build custom collection, search, analysis and monitoring systems for organisations.

    Outputs

    • Integrations
    • Internal Tools
    • Management Systems

[ Strategic questions ]

When data becomes the basis for decisions.

dynamiq. supports teams that need to understand what is changing across markets, platforms and public data sources.

  1. Strategy & Competitive Intelligence

    What is changing in our market?

    Typical questions

    • Which competitors are gaining visibility?
    • Which new offerings and categories are emerging?
    • How are positioning and pricing changing?

  2. Brand & Communications

    How are brands and issues actually being discussed?

    Typical questions

    • In which contexts does our brand appear?
    • Which actors are driving issues and discussions?
    • Which visual and textual patterns recur?

  3. Market & Consumer Intelligence

    What can public data reveal about behaviour and trends?

    Typical questions

    • Which products and brands are gaining attention?
    • Which trends are emerging now?
    • Which changes can be measured over time?

  4. Research & Investigations

    How does unstructured material become a robust dataset?

    Typical questions

    • Which networks and connections exist?
    • Which content or narratives recur?
    • How can an investigation be documented reproducibly?

[ References ]

Data Intelligence in practice.

  1. Documents

    NEARLY 5,000 PDFs

    Document Intelligence

    Nearly 5,000 government PDFs were analysed automatically, with suspicious documents subsequently verified by hand.

    • Documents
    • Extraction
    • Automation
    • Verification
    Read the Golem article

  2. Social Video

    357 VIDEOS

    Platform Intelligence

    We systematically investigated 357 TikTok videos using transcription, classification and analysis of the narratives they contained.

    • Video
    • Social Data
    • Transcription
    • Narrative Analysis
    Read the Golem article

  3. Market Data

    400+ STREAMS

    Market Signal Analysis

    More than 400 public streams and around 4,500 company mentions were connected with market data and analysed over time.

    Transcribed video runtime: 14 days and 21 hours

    • Video
    • Entity Extraction
    • Time Series
    • Market Data
    Read the Golem article

[ Market Signal Report ]

Brand Visibility 7,966

messages analysed

WhatsApp ChannelInsights.

What public channels reveal about brands, trends and consumption.

For our report, we studied public WhatsApp channels over 14 days to understand how brands become visually visible, which products dominate and the everyday contexts in which they appear.

Download report

[ Sources ]

Relevant signals can emerge anywhere.

Social Media

  • TikTok
  • Instagram
  • YouTube
  • X
  • Reddit
  • LinkedIn
  • Facebook
  • Threads
  • All other social networks

Communities

  • Forums
  • Imageboards
  • Public Telegram Channels
  • Public Discord Communities
  • Niche Platforms

Web & Dark Web

  • Websites
  • Blogs
  • Public Databases
  • Web Archives
  • Dark Web Sources

Video, Audio & Documents

  • Videos
  • Livestreams
  • Podcasts
  • PDFs
  • Reports
  • Presentations
  • Spreadsheets
  • Internal Data

Combinable across sources. Social media, communities, websites, archives, video and documents can be combined in one investigation or a shared dataset.

[ Team ]

People behindthe data.

A team spanning software development, data analysis and UX, working directly on collection, research, analysis and reliable intelligence systems.

  1. Oliver
    Founder

    Oliver

    Software Developer & Data Analyst

    OSINT · Data Collection · Analysis · Monitoring

    Builds collection and analysis pipelines, combining software development with data analysis, OSINT and research.

  2. Cornelia
    Patent holder

    Cornelia

    UX & Product Design

    Data Interfaces · Research Tools · UX

    Designs software and interfaces for research, monitoring and complex data products.

  3. Dev
    TBA

    Dev

    Software Developer & Data Analyst

    Data Engineering · Collection · Analysis

    Software development and data analysis for collection, processing and monitoring systems.

[ Contact ]

What do you wantto find out?

Tell us the question, data source or signal you want to understand or monitor continuously.

In an initial call, we clarify the objective, sources, available data and the right scope.

Prefer email?oliver@dynamiq.agency

The question, available data, relevant sources and desired outcome are enough to get started.

Required field