Issue edition: 26
Total companies on my list: 130
All files: https://bit.ly/Daily5allfile
Today’s
Saphira: Hardware engineering orchestra design management tool
Prompt Security: Security platform that inspects GenAI prompt and model responses
DiploAI: Identify relevant automotive regulations and compliance
SKUsafe: Nutrition, formulation, and specification management software for CPG brands
Ajax: AI tracks on-screen time and understands the tasks to generate billable hours for lawyers
1. Saphira, United States, 2024
Enterprise, AI/ML, $0.1M
What? Hardware engineering orchestra design management tool
Why? Design data traceability
How? Facilitating design traceability management for testing, i.e., involves maintaining references to all the source information used in designing the product, whether it's robotics, battery technology, or autonomous cars
Example
Impact Analysis & Visualization- When changing the minimum motor torque to 100Nm AI will trace the effects. Generally, it affects the drive train length and acceleration validation, etc. provides visual connection across subsystems
Reports - Intelligent reports break down based on product releases and safety test status
Reason to be in CNW? Accelerate the development of safety-critical products. Incomplete system design, along with interconnected architecture and tests, can lead to product delays and cost overruns
2. Prompt Security, United States, 2023
Enterprise, AI/ML, $5M
What? Security platform that inspects GenAI prompt and model response
Why? Prevent LLM-based attacks
How? Inspect both user prompts and AI responses thoroughly to prevent data leaks, block harmful content, and safeguard against 3rd party generated AI threats such as prompt injections and remote code execution
Reason to be in CNW? In 2023, almost 30% of enterprises implementing AI experienced a security breach. To protect the brand and minimize the attack surface, it is crucial to develop a customer-facing monitoring platform that ensures safety and prevents the dissemination of toxic or harmful content that could damage the company. Developed patent-pending techniques to detect generative AI threats
Another Company, with different approach
Context Analytics, UK (https://context.ai/), CNW 19 07 2024, Google funded
Analytics tools are designed to enhance understanding of user experiences (prompt response) with AI models, focusing primarily on sentiment analysis rather than the security aspects that Prompt Security addresses
3. DiploAI, United States, 2023
Enterprise, AI/ML, $1.7M
What? Identify relevant automotive regulations and compliance
Why? Improve efficiency
How? Enter the details of the vehicle or component, and the AI engine will identify all relevant regulations for that specific system, whether it pertains to batteries, safety systems, or autonomous vehicles
Reason to be in CNW? Identify all relevant regulations for a system worldwide and receive notifications about relevant regulatory changes. Supported by 3/10 largest OEMs
4. SKUsafe, United States, 2023
Enterprise, No
What? Nutrition, formulation, and specification management software for CPG brands
Why? Manage product portfolio
How? R&D and Quality Tools, such as nutritional analysis and NFP generation, enable theoretical and lab-tested nutritional calculations, comprehensive macro and micronutrient assessments, and management of ingredients and suppliers
For example
Software compares product formulas with government regulatory guidelines and third-party certification requirements, such as 'low sodium' and vegan certifications
Reason to be in CNW? Solution is designed to assist CPG brands and manufacturers in efficiently managing their product portfolios by offering detailed, ingredient-level information and high-level portfolio management. All aspects of product development, including operations, R&D, quality, and sales & marketing, are streamlined and accurate to ensure the maintenance of high standards of quality and compliance
5. Ajax, United States, 2023
LegalTech, AI/ML, Yes(NA)
What? AI tracks on-screen time and understands the tasks to generate billable hours for lawyers
Why? Accurate time tracking
How? Runs quietly in the background, tracking lawyers' activities and time, automatically generating billable hours by synchronizing with billing systems. It read/scan case law/text to deduce the user's current tasks and allocates minutes to specific matters and generates narrative descriptions of the activities
Reason to be in CNW? Manual timekeeping consumes significant amounts of lawyers’ time, fragments their focus, and costs them thousands of dollars weekly. Draft documents, send emails, call clients — and AI will match time to the correct matter and write narratives. It also has the ability to manage switches between tasks efficiently
Tejas Vaid
LinkedIn: https://www.linkedin.com/in/tejas-vaid/