Little Place Labs builds edge AI applications and a distributed orbital network (OrbitfyNetwork) to deliver near-real-time insights from space for time-sensitive, dual-use use cases. Through our product Orbitfy, we have secured $2M in awards with the US Air Force and completed successful in-orbit missions. Looking forward, OrbitfyNetwork will extend our capabilities, enabling a marketplace for on-orbit compute that supports autonomous operations, SDA, encrypted communications, and more.
The problem Little Place Labs addresses is the significant delay in obtaining actionable insights from space-based data. Traditionally, raw data from satellites must be transmitted to Earth for processing, resulting in substantial time lags of hours and days. These delays hinder timely decision-making in critical areas such as disaster response, national security, and asset monitoring, where rapid access to information is essential. We address this challenge by processing data at its source. We build ultra-low SWaP (size, weight, & power) AI/ML software that is designed to process satellite data in real-time on the resource-constrained hardware on satellites or other space assets. Instead of downlinking GBs of raw satellite data (which takes immense time & costs) LPL’s software extracts useful insights from the data on board the satellite, and downlinks only KBs of actionable text files (eg. coordinates, perimeter, intensity of a wildfire) within 7 minutes. We are scheduled to deploy our software on 50+ satellites in the next 36 months, across a network of partner satellites.
By the end of 2026, LPL will focus on establishing itself as the leading provider of real-time satellite-based insights. By scaling Orbitfy across 10+ partner satellites, integrating diverse data types, including optical, HSI, SAR, thermal, and more, and consistently delivering alerts in under 7 minutes, we aim to become the dominant player in high-impact, time-critical use cases, with a revenue of $5M+. This phase targets urgent scenarios across sectors such as defense, maritime surveillance, disaster management, insurance and finance, driving sustainable revenue and long-term market leadership.
Our TACFI (Tactical Funding Increase) proposal was selected by the U.S. Space Force, meaning our current $2M raise will be matched with $2M in non-dilutive government funding, bringing total available capital to $4M. This funding will accelerate development of our automated tasking and insight delivery capability, along with integration across partner satellites to enable low-latency, cross-constellation tasking. The selection validates both the mission-critical value and defense need for our capabilities, which also extend to commercial use cases such as disaster response, maritime domain awareness, and asset monitoring.
We released a near real-time solution that detects and classifies vessels in under 1 hour from capture, leveraging our edge computing software on Sidus Space’s Lizziesat constellation. PR here: https://www.businesswire.com/news/home/20250417510449/en/Sidus-Space-Enables-Little-Place-Labs-Near-Real-Time-Maritime-Intelligence-with-LizzieSat-Powered-Vessel-Detection-Solution
In-orbit demonstration on Loft’s YAM-6 started (currently ongoing), as part of our Phase 2 STTR contract with the US Air Force. The mission was to detect adn and classify vessels in near-real time, with latest demo delivering insights within 25 minutes from capture by the satellite. Read more here: https://spacenews.com/little-place-labs-and-loft-orbital-to-test-analytics-in-orbit/
We advanced as a semi-finalist in the $7M XPRIZE Wildfire Competition. We are partnering with 3 global companies (autonomous drones, IoT sensors, and AI-enabled cameras) to detect and suppress wildfires in near real time. Read more here: https://www.littleplace.com/post/fire-foresight-successfully-enters-the-next-round-of-xprize-wildfire-challenge
Secured a Phase 2 Small Business Technology Transfer (STTR) Contract for Advancing Space-Based Intelligence, Surveillance, and Reconnaissance and In-Orbit Machine Learning Computing Read more here: https://www.littleplace.com/post/little-place-labs-awarded-a-1-8m-afwerx-sttr-phase-ii-contract
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