Concept

LensQuery is a SAAS "intelligence layer" for your existing photo libraries. It's a smart search engine that connects to your current cloud storage (like Google Photos, iCloud, Dropbox) and allows you to find any photo using natural, conversational language. Instead of just searching for "dog," you can search for "that funny photo of my golden retriever catching a frisbee at sunset."

It does not store your original photos. It simply indexes them in place, creating a powerful, private, and unified search experience across all your scattered libraries.

Value Proposition

Stop scrolling, start finding. LensQuery transforms your chaotic photo archive into a perfectly organized and searchable database, saving you hours of frustration. It's for anyone who has ever struggled to find a specific photo they know they have.

AI Integration

• Semantic Search: We use state-of-the-art multimodal AI models (like CLIP) to generate vector embeddings for every photo. These embeddings capture the image's conceptual meaning, allowing you to search based on ideas, moods, and detailed descriptions, not just simple tags.
• Automated Metadata & Facets: Our AI also analyzes images to automatically generate rich metadata—identifying objects, scenes, color palettes, and even compositional elements (e.g., "rule of thirds," "leading lines"). This powers faceted search filters that let you instantly refine your natural language query (e.g., search "beach sunsets" then filter by "vibrant orange palette" and "portraits").

Unique Selling Points

• Search, Don't Store: We are not another storage provider. We enhance the services you already use and love, making us a complementary tool, not a replacement.
• Unified Library: Connect multiple services (Google Photos, Dropbox, etc.) and search across all of them from a single interface.
• Beyond Keywords: Our search understands context, actions, and abstract concepts, providing a search experience that feels like magic compared to traditional tools.

MVP (Minimum Viable Product)

A web application that allows a user to securely connect their Google Photos account. Upon connection, LensQuery performs a one-time indexing of their library in the background. The core interface is a single, powerful search bar where the user can type natural language queries and see the results instantly, with a few key AI-generated filters (e.g., dominant color, people present) to refine the search.

Core Concept

TerraLingo is a SAAS platform that allows non-technical business users to analyze their geospatial data through a simple, conversational chat interface. It’s "ChatGPT for your maps." Users upload their location-based data (e.g., a CSV of store locations, a GeoJSON of sales territories), and can then ask complex spatial questions in plain English, receiving answers and visualizations instantly on an interactive map.

The Problem It Solves

Geospatial analysis is incredibly powerful for business decision-making but is locked behind complex, expensive software (like ArcGIS) that requires specialized expertise. A simple question like, "Which of our stores are within a 10-minute drive of a competitor's location?" can take an analyst hours. TerraLingo removes this barrier completely.

How It Works (The MVP)

The initial product is a web application with a two-panel view: a map on one side and a chat window on the other.

• Upload: The user uploads a simple CSV or GeoJSON file containing their location data.
• Query: The user types a question into the chat, like "Show me all my assets in California" or "How many customers are within 1km of the 'Downtown' store?"
• AI Translation: TerraLingo uses a Large Language Model (LLM) to parse the natural language query and translate it into a precise spatial query (e.g., a PostGIS command).
• Execution & Visualization: A lightweight backend executes the query on the user's data and returns the result. The LLM then formats this result into a natural language answer and updates the map to visually highlight the relevant data points.

Unique Selling Points

• Zero Learning Curve: If you can ask a question, you can perform geospatial analysis. It completely democratizes access to location intelligence.
• Speed: Reduces analysis time from hours to seconds, enabling rapid iteration and discovery.
• Secure & Private: Users analyze their own proprietary data in a secure environment. The focus is on their data, not just public map data.

Potential Impact

TerraLingo can unlock the value of location data for thousands of businesses in real estate, retail, logistics, and marketing that currently lack the resources for a dedicated GIS team. It turns a complex data science task into a simple conversation, enabling smarter, data-driven decisions about the physical world.