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AI Technology & Systems
Low power on device AI app store and play ground
USA, California
Market: Electronics, Artificial Intelligence
Stage of the project: Prototype or product is ready
Date of last change: 10.04.2021
USA, California
Market: Electronics, Artificial Intelligence
Stage of the project: Prototype or product is ready
Date of last change: 10.04.2021
Idea
Building world's largest AIoT app-store and marketplace built with edge compiler tool-chain to produce cost-effective firmware for bare metal devices including 300 billion IoT, Edge and MCU devices.
Current Status
Our B2B2C platform (www.tinyml.studio) is ready with over 70 AIoT apps built with our differentiated compiler tool chain.
B2B AIoT market works by building ecosystem and we are working our way into it by showcasing our technology marquee names like Qualcomm, Microchip, Renesas, ARM, and many others.
We continue to work with AIoT government sector including DoD, Air Force, NSF and NASA. Ongoing weekly meetings with NASA to conclude contract in next few weeks.
B2B AIoT market works by building ecosystem and we are working our way into it by showcasing our technology marquee names like Qualcomm, Microchip, Renesas, ARM, and many others.
We continue to work with AIoT government sector including DoD, Air Force, NSF and NASA. Ongoing weekly meetings with NASA to conclude contract in next few weeks.
Market
Market:
TAM: $25 Billion
SAM: $6 Billion
SoM: $2.6 Billion
Market Validation:
Several market research reports indicate that AIoT & Edge-AI market will Reach $65.9 Billion by 2025, Growing at 39.1% CAGR. (ref: https://www.researchandmarkets.com/reports/5136156/artificial-intelligence-of-things-aiot-market-by)
We're seeing pulsating AIoT eco-system in MCU vendors (Microship, Renesas etc) and hardware IP vendors (ARM, Cadence) in our partnership channels.
Unique Insight:
Putting together an effective AIoT solution requires multidisciplinary knowledge, including data science, digital app-store, compilers, computer architectures and VLSI.
Industry is fragmented between appliance providers (e.g. Bosch), MCU vendors (e.g. NXP Semiconductor) and ML frameworks vendors (e.g. Google). Their focus and business interests failed to provide a complete solution for end user.
TAM: $25 Billion
SAM: $6 Billion
SoM: $2.6 Billion
Market Validation:
Several market research reports indicate that AIoT & Edge-AI market will Reach $65.9 Billion by 2025, Growing at 39.1% CAGR. (ref: https://www.researchandmarkets.com/reports/5136156/artificial-intelligence-of-things-aiot-market-by)
We're seeing pulsating AIoT eco-system in MCU vendors (Microship, Renesas etc) and hardware IP vendors (ARM, Cadence) in our partnership channels.
Unique Insight:
Putting together an effective AIoT solution requires multidisciplinary knowledge, including data science, digital app-store, compilers, computer architectures and VLSI.
Industry is fragmented between appliance providers (e.g. Bosch), MCU vendors (e.g. NXP Semiconductor) and ML frameworks vendors (e.g. Google). Their focus and business interests failed to provide a complete solution for end user.
Problem or Opportunity
Problem:
Creating AI firmware for IoT devices is difficult and expensive.
Current Solution:
a startup with a team of 5 engineers to design one firmware in 2-6 months.
Creating AI firmware for IoT devices is difficult and expensive.
Current Solution:
a startup with a team of 5 engineers to design one firmware in 2-6 months.
Solution (product or service)
Our AIoT platform (www.tinyml.studio) is ready with over 70 AIoT apps built with our differentiated compiler tool chain.
Check out our offerings at https://www.ai-tech.systems/products/
Check out our offerings at https://www.ai-tech.systems/products/
Competitors
Direct Competition:
1. https://www.edgeimpulse.com/
2. https://qeexo.com/
Indirection Competition
1. Google TensorFlow Lite Micro (https://www.tensorflow.org/lite/microcontrollers)
1. https://www.edgeimpulse.com/
2. https://qeexo.com/
Indirection Competition
1. Google TensorFlow Lite Micro (https://www.tensorflow.org/lite/microcontrollers)
Advantages or differentiators
AITS competitive advantage:
Product: AIot app store build with compiler stack for AIoT devices beating apps built with Google TensorFlow lite micro.
People: Team is experienced in bringing up products in AI vertical from software stack to hardware SoCs.
Product: AIot app store build with compiler stack for AIoT devices beating apps built with Google TensorFlow lite micro.
People: Team is experienced in bringing up products in AI vertical from software stack to hardware SoCs.
Business model
Business Model:
1) SaaS Subscription for AIoT platform (www.tinyml.studio) for small businesses
2) TBL For large corporations.
1) SaaS Subscription for AIoT platform (www.tinyml.studio) for small businesses
2) TBL For large corporations.
Money will be spent on
Acquiring customers in 3 verticals.
Offer for investor
1. If you've connection in AI groups inside MAFIA (Microsoft, Alphabet, Facebook, IBM and Apple) companies, we'd gladly give you extra equity to establish collaboration.
2. If you bring experienced CEO in IoT to scale the operations, we'd gladly give you extra equity
2. If you bring experienced CEO in IoT to scale the operations, we'd gladly give you extra equity
Team or Management
Incubation/Acceleration programs accomplishment
Participated in MARL5G accelerator program in 2020.
Won the competition and other awards
1. NASA iTech 2020 Finalist
2. Bosch hackathon
2. Bosch hackathon
Invention/Patent
1. Low power AI compiler and scheduling algorithms (waiting for budget for filing)
Photos
Product Video
Presentation
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