WHAT WE DO

We analyse trends and narrative shifts related to gender based violence across regions and institutions.

Dawn Intelligence brings together quantitative data, qualitative signals, and structured interpretation to help organisations answer questions such as:

  • What patterns are changing in our area?

  • Where is risk increasing or stabilising?

  • What are we seeing consistently, and what remains uncertain?

  • How should we prioritise attention and resources?

Our platform is designed for use under time pressure, by professionals who need clarity rather than complexity. We surface what matters, explain what we can and cannot see, and clearly separate evidence from interpretation.

Every insight is grounded in stored data, transparently limited, and framed to support prevention rather than reaction.

But how does Dawn work?

Dawn Intelligence combines multiple analytical approaches to build a responsible interpretation layer.

Machine Learning Models

We use statistical and machine learning models to analyse aggregated time series data. These models help identify trends, volatility, and changes over time.

Importantly:

  • Models operate on aggregated data only

  • No individual level prediction or identification occurs

  • Outputs are probabilistic and contextual, not deterministic

Natural Language Processing

We apply NLP techniques to analyse narrative data from reports, summaries, and institutional text sources.

This allows us to:

  • Detect shifts in language and framing

  • Identify recurring themes and emerging concerns

  • Compare narrative change alongside statistical trends

Narrative signals are treated as contextual indicators, not proof of harm.

Ask Dawn Interpretation Layer

Ask Dawn sits on top of these systems as an interpretation interface.

It:

  • Draws only from stored Dawn evidence

  • Explains what the data shows and what remains uncertain

  • Refuses questions that cannot be answered safely

  • Encourages responsible use and reflection

Ask Dawn is designed to support thinking, not automate decisions.

this is for you.

this is for you.