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KONTEXT.city provides AI-driven urban intelligence by analyzing large volumes of publicly available digital conversations about cities and places. By synthesizing qualitative data at scale, the platform helps users understand how people experience cities in real time, across neighborhoods, topics, and contexts.

KONTEXT.city analyzes qualitative data at scale by combining computational methods with qualitative research formats. The platform processes large volumes of public text content such as posts, reviews, image descriptions, city data, and discussions, and turns them into structured insights without relying on small samples or manual coding. Using our platform, you don't need to be a Pythonista in order to understand massive social data streams that give you a good understanding of what's going on in your city.

KONTEXT.city is NOT a people-monitoring or surveillance tool, and we cannot stress this enough. It focuses on aggregated, anonymized patterns, never (!!!) on individuals. The platform synthesizes what people share publicly to understand places and urban dynamics, not to monitor or track people. We always remove personal identifiers from our results.

KONTEXT.city supports customizable analysis by allowing users to define their industry, topics of interest, cities, and neighborhoods. The platform adapts the analytics accordingly, ensuring insights remain relevant as your priorities, projects, or geographic focus change.

KONTEXT.city protects privacy by working exclusively with publicly available data, automatically removing personal identifiers, and presenting insights only at an aggregated level. Individuals are never tracked, and ethical considerations are built into the system by design.

KONTEXT.city scales with your needs by supporting multiple cities, topics, and users via different plans. You can expand your scope and collaboration with other team members easily, without changing how the platform is used. If you want to add a team member to KONTEXT.city, just upgrade to a plan where this is possible (PRO and ENTERPRISE) create a new seat in your profile settings. You only have to enter your team member's email and that's it.

KONTEXT.city enables place-based insight by analyzing conversations at multiple spatial levels, including entire cities, individual neighborhoods, and topic-specific hotspots. This allows users to compare how your city of choice, or smaller areas within its borders, are perceived and discussed, and how experiences vary across urban space.

KONTEXT.city identifies sentiment, emerging trends, risks, and opportunities in your city by geolocating and detecting recurring patterns in public conversations. Instead of focusing on individual posts, the system looks for aggregated patterns that reveal what currently matters to people in your city and how those perceptions are changing over time.

KONTEXT.city helps reduce reliance on traditional qualitative methods by providing continuous, real-time insight from public conversations. Compared to surveys and workshops, this approach is faster, more scalable, and less resource-intensive, while capturing how people actually talk about places without prompts or participation barriers.

KONTEXT.city integrates qualitative insight directly into planning, policy, and investment workflows by translating complex conversations into clear summaries, trends, and signals. This makes lived experience easier to incorporate alongside quantitative indicators and traditional data sources.

KONTEXT.city helps reduce risk by surfacing early warning signals, recurring frustrations, and emerging sentiment shifts before they become visible through traditional metrics. This allows decision-makers to act earlier and with greater contextual awareness.

KONTEXT.city is incredibly easy to get started with. Even the least tech-savy people can use KONTEXT.city comfortable. Users simply select their industry, topics, and city, and the platform begins analyzing relevant conversations within seconds, without complex setup or technical configuration.