
Adaptive Security is OpenAI’s investment for AI cyber threats. The company was founded in 2024 by serial entrepreneurs Brian Long and Andrew Jones. Adaptive has raised $50M+ from investors like OpenAI, a16z and executives at Google Cloud, Fidelity, Plaid, Shopify, and other leading companies.
Adaptive protects customers from AI-powered cyber threats like deepfakes, vishing, smishing, and email spear phishing with its next-generation security awareness training and AI phishing simulation platform.
With Adaptive, security teams can prepare employees for advanced threats with incredible, highly customized training content that is personalized for employee role and access levels, features open-source intelligence about their company, and includes amazing deepfakes of their own executives.
Customers can measure the success of their training program over time with AI-powered phishing simulations. Hyper-realistic deepfake, voice, SMS, and email phishing tests assess risk levels across all threat vectors. Adaptive simulations are powered by an AI open-source intelligence engine that gives clients visibility into how their company's digital footprint can be leveraged by cybercriminals.
Today, Adaptive’s customers include leading global organizations like Figma, The Dallas Mavericks, BMC Software, and Stone Point Capital. The company has a world class NPS score of 94, among the highest in cybersecurity.
Learn more

Mitti by SafetyCulture is a frontline operations platform built to help organizations manage daily work across sites, shifts, teams, assets, standards, and compliance requirements. The platform brings inspections, issue reporting, training, task management, communications, document management, asset maintenance, contractor management, investigations, analytics, sensors, IoT, and operational AI into one connected system. Mitti helps teams capture frontline signals, turn checklists into workflows, assign actions, close out issues, and understand performance across the business. Its AI Assistant can create checklists, generate training, and surface information quickly, while AI Issue Capture turns photos or voice notes into actionable issues. The platform supports quality management, compliance, asset maintenance, training, onboarding, insurance, lone worker safety, benchmarking, integrations, and operational reporting. Organizations can use Mitti to digitize inspections, monitor assets, train workers, communicate with teams, track contractor readiness, investigate incidents, and benchmark performance across locations. Its analytics capabilities give leaders a clearer view of what is happening across operations so they can spot trends, reduce risk, and improve outcomes. Mitti is used across industries such as manufacturing, facilities management, hospitality, construction, and retail. By combining frontline workflows, inspections, training, AI, asset management, issue reporting, analytics, communications, and compliance tools, Mitti helps organizations run safer and more efficient operations.
Learn more
Azure Computer Vision
Enhance the visibility of your content, streamline the extraction of text, analyze videos on the fly, and develop user-friendly products by incorporating visual capabilities into your applications. Leverage visual data processing to tag content with relevant objects and concepts, retrieve text, produce descriptions for images, manage content moderation, and interpret human movement within physical environments. This approach is accessible to everyone, regardless of their machine learning background. By adopting these technologies, you can significantly improve user engagement and interaction with your products.
Learn more
Google Cloud Vision AI
Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.
Learn more