Rulebase

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 compliance checks. At @RulebaseHQ, we built Coworker to work alongside CX and ops teams to: - Review 100% of interactions for compliance and quality assurance - Automatically file and track fraud and dispute cases end-to-end across CX, case management, and back-office platforms - Proactively follow up with teammates and third-party partners to keep SLAs on track - Flag compliance risks in real time and generate audit-ready reports. Coworker bridges CX and back-office ops, automating the most manual tasks so nothing slips through the cracks and every customer issue is resolved quicker and more effectively. A massive thank you to our investors, customers, and the growing @RulebaseHQ team for believing in our vision and being part of this journey! Our round was led by @LorenStraub from @BoweryCapital, with participation from @ycombinator, @CommerceVC, @transposevc, and founders of t3 chat, Atrium, Cron (now Notion Calendar): @theo, @raphaelschaad, and more. Incredibly grateful to have the support of the @ycombinator community and mentors, @dflieb and @koomen. Thank you all for being incredible partners on this journey!

Congrats to @RulebaseHQ on their $2.1M round! Rulebase is building AI coworkers for financial services. They’re launching Coworker, an AI agent that automates back-office ops end-to-end, from disputes to compliance, so nothing slips through the cracks. techcrunch.com/2025/09/16/y-c…

@DadaBen_ @ycombinator @gideon_eb @chidiwilliams__ 🤝

@ycombinator @RulebaseHQ @gideon_eb @chidiwilliams__ Congrats, people ❤️

Rulebase (@rulebasehq) just launched AutoQA — 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__! rulebase.co/autoqa

@ObiKanWrite @ycombinator @gideon_eb @chidiwilliams__ 🦾

@ycombinator @RulebaseHQ @gideon_eb @chidiwilliams__ 🔥🔥🔥

@GJarrosson @ycombinator @gideon_eb @chidiwilliams__ Thanks Gabriel 🙂

@ycombinator @RulebaseHQ @gideon_eb @chidiwilliams__ Way better than random sampling

🚀 Beam by @RulebaseHQ launched! The Real-Time Copilot for CX Agents "Make your agents superhuman." 🌐 rulebase.co/beam Congrats @gideon_eb & @chidiwilliams__!!

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 starts—so they can move faster, stay sharp, and cut AHT without cutting corners. ycombinator.com/launches/NBd-b…

@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.

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 cal.com/chidi-rulebase….

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 customer services.

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?

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?

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.

🚀 @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." 🌐 rulebase.co 🎙️ Run voice phishing simulations to expose vulnerabilities before bad actors strike. 🕵️‍♂️ Detect bad actors in real-time and block access immediately. 🔑 Secure your employees, accounts, and customer authentication. 🛡️ Rulebase is the voice fraud defense system for financial services. 👀Check out this video: youtu.be/Cwy7tySntyc ⚡ If you’d like to learn how Rulebase can help protect your organization from various types of fraud, please feel free to schedule a call with the founders here: cal.com/gideonebose/30… ‍ 🤝 Warm intros to CISOs or Fraud teams who actively serve a lot of retail customers welcomed - email the founders! Congrats @gideon_eb & @chidiwilliams__!! fondo.info/4g1GhdK

@DrOnwude @chidiwilliams__ Great question - We directly integrate with Intercom. For Zendesk, since it doesn't allow real-time call parsing, we use a browser extension instead.

@chidiwilliams__ @RulebaseHQ Awesome! Quick question: is Radar an extension, or is it installed in intercom/zendesk?

We ran an experiment last week👨‍🔬 . 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. — Founders in the @ycombinator F24 batch 😅 with a Garry Tan deepfake call. We made 6 calls to founders in the F24 batch with a Garry Tan deepfake. We had a 33% attack success rate. 2 out of 6 founders shared their pitch and discussed upcoming product plans without realising it was a deepfake. Listen to a test call below.

Forgive us @garrytan

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. ycombinator.com/launches/MBR-r… Congrats on the launch, @gideon_eb + @chidiwilliams__!