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Issue edition: 31
Total companies on my list: 155
All files: https://bit.ly/Daily5allfile
Today’s
FARx: Platform can recognize and hear humans, and facilitate secure online services
AgriSound: Interpreting nature’s noises (acoustic technology) to monitor insects (pollinator monitoring)
Trunk: Offsite construction management tracking
Apian: Building NHS on-demand drone delivery network
Decorte Future Industries: Technology leverages sound to extract critical health data through SoNUS (Sound-based Non-invasive Universal Screening)
Marker Maps
Farming conservation with technology:
Problem Statement
AgriSound: (Bee Conservation): Interpreting nature’s noises (acoustic technology) to monitor insects (pollinator monitoring)
Samudra Oceans: (Seaweed Conservation): Leveraging sensors, cameras, and AI to scale seaweed farming
Quantas Labs: (Erosion Prediction): Erosion prediction and soil analysis
1. FARx, United Kingdom, 2022
Enterprise, AI/ML, Yes(NA)
What? Platform can recognize and hear humans, and facilitate secure online services
Why? Secure authentication
How? ML technology recognizes the speaker based on their speech and face, i.e., WHAT is being said and WHO is speaking, and then provides access to a secure online service
Use cases
Bank employees (traders): Trading software analyses the voice (and face) to ensure only authorized traders are accessing confidential information and performing trades
Help Desk: Password reset platforms analyse the voice (and face) characteristics to ensure only employees can biometrically reset corporate passwords
Chatbots: Chatbots see, hear, recognize, and understand the customer, allowing them to deliver secure and personalized services
Reason to be in CNW? Biometric data (face and voice) as a multi-factor authentication enhances organizational security (e.g., preventing unauthorized intrusion) and simplifies the user experience
2. AgriSound, United Kingdom, 2020
Climate Tech, AI/ML, $0.2M
What? Interpreting nature’s noises (acoustic technology) to monitor insects (pollinator monitoring)
Why? Precision pollination
How? In-field sensor devices monitoring pollinators using advanced bioacoustics algorithms collect data on size, shape, and time visits from a broad spectrum of local insects. This data aids in decision-making
Reason to be in CNW? Bee species (excluding honey bees) are vulnerable to extinction, and food crops rely heavily on insect pollinators. Monitoring pollinator levels in real-time helps protect and enhance global insect biodiversity. In the UK alone, 13 bee species have become extinct, and 40% of bee species are currently vulnerable to extinction. Tracks pollination events and identifies areas with low pollinator activity, providing valuable data for targeted conservation efforts. This technology applies to farms and gardens
Samudra Oceans, UK (https://www.samudraoceans.com/) CNW 23 07 2024
Leveraging sensors, cameras, and AI to scale seaweed farming. Sustainable cultivation. AI, cameras, and sensors assist seaweed farmers in optimizing manpower and maximizing yields by monitoring conditions on seaweed farms. Pictures of the seaweed rigs are taken to check for damage from stormy weather and collect a wealth of other data, including the amount of light reaching the seaweed, the strength of the current, water temperature, and salinity. Additionally, AI generates alerts based on comprehensive ocean data. Seaweed growers invest significant time and money in farm visits to assess the health of their crops. Technology now monitors crucial variables such as pathogens, nutrient levels, and acidity, while also tracking crop growth. All this information is readily available to farmers via an online platform. Additionally, developing AI to transform fishing practices
Quantas Labs, UK (https://www.quantas.ai/) CNW 17 04 2024
Erosion prediction and soil analysis. Informed and sustainable decisions for land use. Solves erosion vulnerabilities. Erosion risk report. AI works on real-time ecological data i.e., soil composition, vegetation, topography and climate condition and does forecast. Vertical application with large market size with erosion risk poses a significant concern. If company has to be trusted by customers such as governments, construction firms, property managers, and critical infrastructure providers to scale. Global loss from catastrophes grew from 200B (2020) to 380b (2023), ~2x (AON)
3. Trunk, United Kingdom, 2020
ConstructionTech, Yes(NA)
What? Offsite construction management tracking
Why? Prevent cost overruns, delays, and rework
How? Monitor daily production targets achieved against the design on a live dashboard from an offsite location. It provides detailed information on the causes of non-value-added time down to the second
Reason to be in CNW? Solution designed to enhance construction and assembly processes. Set daily production targets and view a live dashboard that highlights what’s on track and what’s off track. Document downtime causes, whether due to sub-assembly or design issues, with precision. Integrate planning tools with robotic machines, BI dashboards, and in-house communication systems. This solution serves the entire hierarchy, from leadership to site managers
4. Apian, United Kingdom, 2018
TransportTech, Yes(NA)
What? Building NHS on-demand drone delivery network
Why? Last-minute faster delivery logistics
How? API integrating the healthcare industry with the drone industry
Health API: Connecting NHS System with order management & transport management
Logistics API: Connecting with drone, ground & payload
Reason to be in CNW? Building an autonomous logistics network to instantly deliver medical supplies, the platform integrates both healthcare and aviation systems to ensure the delivery of essential medical supplies. This includes a temperature-validated delivery service for the most sensitive items, such as pharmacy products, vaccines, and blood products
5. Decorte Future Industries, United Kingdom, 2019
HealthTech, AI/ML, Yes(NA)
What? Technology leverages sound to extract critical health data through SoNUS (Sound-based Non-invasive Universal Screening)
Why? Non-invasive and low-cost method
How? Audio collected by a standard microphone can perform high-level health screenings. By placing the microphone against the chest, SoNUS can detect and monitor a wide range of health issues. Sound from the outward-facing microphone is used to subtract background (non-body) sounds from the audio collected by the inner microphone. This ensures the highest quality audio files, which are used to train SoNUS AI to differentiate between environmental and body sounds
Mk1: Proof of concept, the vests contained a sound-based module on the chest
Mk2: The device attaches to the user’s clothing using a magnetic fastener and continuously gathers audio, temperature, and movement data
Reason to be in CNW? Technology is now deployed on smartphones. Built own proprietary data collection devices from scratch. These devices are currently being used in clinical trials and data collection studies across the world, including in Asia and the US, for screening cardiovascular, respiratory, neurological, and gastrointestinal conditions. The IP is owned by the company
Tejas Vaid
LinkedIn: https://www.linkedin.com/in/tejas-vaid/