Rulebase
@RulebaseHQ
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AI Coworkers for Financial services.
San Francisco
Joined April 2024
Excited to share that we raised $2.1M to build the future of CX and back-office operations in financial services. For fintechs and banks, customer service back-office work remains a maze of manual processes, including quality assurance, dispute investigations, and fraud and
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Congrats to @RulebaseHQ on their $2.1M round! Rulebase is building AI coworkers for financial services. Theyโre launching Coworker, an AI agent that automates back-office ops end-to-end, from disputes to compliance, so nothing slips through the cracks. https://t.co/hs4qJUygVV
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Rulebase (@rulebasehq) just launched AutoQA โ a real-time QA agent for financial services teams. It reviews every call, chat, and email against your QA standards and compliance profile. No more sampling. Full coverage. Congrats on the launch, @gideon_eb & @chidiwilliams__!
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๐ Beam by @RulebaseHQ launched! The Real-Time Copilot for CX Agents "Make your agents superhuman." ๐ https://t.co/bJFuuwOfbW Congrats @gideon_eb & @chidiwilliams__!!
๐ Beam by @RulebaseHQ launched! The Real-Time Copilot for CX Agents "Make your agents superhuman." ๐ https://t.co/fy4C6VIzso Congrats @gideon_eb & @chidiwilliams__!!
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Beam from @RulebaseHQ makes your CX agents superhuman. It gives agents perfect recall: real-time coaching, fraud & PCI flags, and full customer context before the call even startsโso they can move faster, stay sharp, and cut AHT without cutting corners. https://t.co/PWbe8Bbl4O
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@rohanpaul_ai This 100% will become much more common given the advances & productization of voice AI applications. This exact use case is tailor-made for @gideon_eb & @chidiwilliams__ of @RulebaseHQ. Zero affiliation...just know they are building GenAI voice fraud detection capabilities.
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I'd love to speak with customer services/fraud teams at fintechs. We'll work with you closely to match the risk models and scoring to your specific needs and use cases. Contact me directly at https://t.co/T7f6PE5N5t.
cal.com
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After the call, we generate an in-depth report on all flagged calls for the fraud team to investigate further. In the video, I show an example of a malicious caller using a VoIP system to change a customer's details. But Radar works for many other scenarios involving attacks on
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During the call, we run a real-time analysis of voice and behavioural characteristics: - Does the call match a known fraud script? - Is the caller using stolen info to take over a customer's account? - Does the voice match a sample previously added to a watchlist?
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Before the agent even answers the incoming call, we run checks on the phone number and caller network: - Has a customer called with this phone number before? - Is this number registered to a suspicious VoIP rather than a real mobile network?
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Introducing Radar, @RulebaseHQ's fraud copilot for customer service teams: Radar integrates with your customer service tools, such as Zendesk and Intercom, to provide agents with real-time fraud risk information before, during, and after incoming conversations.
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๐ @RulebaseHQ launched! The Voice Fraud Defense System for Financial Services "Rulebase's voice fraud detection platform helps businesses identify and block malicious voice calls, including account takeovers, impersonations, and voice clones." ๐ https://t.co/nd4XWuCQnS ๐๏ธ
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We ran an experiment last week๐จโ๐ฌ . A key part of what we do @RulebaseHQ is run voice phishing simulations to strengthen defenses against bad actors targeting employees. So, we thought, what better way to test our platform than by phishing some of the best builders in the world.
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Forgive us @garrytan
We ran an experiment last week๐จโ๐ฌ . A key part of what we do @RulebaseHQ is run voice phishing simulations to strengthen defenses against bad actors targeting employees. So, we thought, what better way to test our platform than by phishing some of the best builders in the world.
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Excited to be sharing what we have been working on @RulebaseHQ. More to come.
YC F24's @RulebaseHQ builds AI-driven fraud detection models to prevent account takeovers and voice phishing for fintechs and banks. They also run voice phishing simulations to train employees against bad actors. https://t.co/FuohJ3JTwl Congrats on the launch, @gideon_eb +
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YC F24's @RulebaseHQ builds AI-driven fraud detection models to prevent account takeovers and voice phishing for fintechs and banks. They also run voice phishing simulations to train employees against bad actors. https://t.co/FuohJ3JTwl Congrats on the launch, @gideon_eb +
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This is likely the most critical issue I will ever work on: we're developing AI voice agents specifically designed to penetrate your business. In the ๐งต below, I explain why we believe this is the most undervalued black swan problem that businesses have underpriced.
Introducing Sentinel X, an advanced voice ai agent designed to attack your business. It impersonates and manipulates your employees using social engineering, help companies build defenses against malicious AI actors and successful attack vectors.
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If you are a CISO or security leader within your company and would like to protect your business and employees, weโd love to talk and share more - you can schedule it at https://t.co/A16xS4X9LE.
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Introducing Sentinel X, an advanced voice ai agent designed to attack your business. It impersonates and manipulates your employees using social engineering, help companies build defenses against malicious AI actors and successful attack vectors.
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If you are a CISO or security leader within your company and would like to protect your business and employees, weโd love to talk and share more - you can schedule it at https://t.co/A16xS4X9LE.
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