What is ChatGenie?

ChatGenie is an Agentic AI Customer Engagement Platform that helps businesses effortlessly target, nurture, and convert leads and provide chat support through intelligent, multi-agent chatbots.

Mission and Vision

Our mission is to provide companies with an efficient and intelligent platform that effortlessly targets, nurtures, and converts leads and provides chat support.

Our vision is to be the leading global AI-powered customer engagement platform, empowering enterprises and brands worldwide to efficiently connect with their audiences.

Product & Technology

Core Offering: The ChatGenie AI Agent-Driven Customer Engagement Platform

• Chatbot: Multi-AI Agent implementation that enables dynamic, accurate, and personalized conversations across Facebook Comments, Messenger, and Instagram.
• Sentiment Analysis: AI-powered Sentiment Analysis Agent classifies conversations as positive, neutral, or negative, giving businesses instant insight into customer mood.
• Business Messaging: AI-powered Lead Nurturing Agent that suggests and sends automated broadcast messages with promotions, deals, product updates, and announcements.
• Integrated Meta Marketing Tool: AI-powered Lead Targeting Agent that uses Meta marketing integration to tailor click-to-messenger ad campaign setups for higher-quality leads.

Market & Metrics

• Customer Segment:
  - Primary: Medium to Large Enterprises
  - Secondary: Small businesses that manage over 1,000 daily inquiries on social media and messaging apps
• Low-Hanging Fruit Opportunity: Automating high volume of Inquiries coming from social media and messaging apps.
• Current Customers: An Insurance company, bus company, retail brand, food and beverage companies
• Messages: Over 3 million messages were processed starting July 1, 2024.

Overview of ChatGenie: Brief History

We started ChatGenie in 2018 to create an AI-driven chatbot development platform for Facebook Messenger. At the time, the available AI technology wasn’t quite ready for prime time, it was largely symbolic AI, and we felt it couldn’t deliver the level of conversational intelligence we wanted.

After a year, we pivoted out from that. In 2019, We saw an opportunity to serve merchants by building an In-App Store Commerce Platform, essentially, enabling native online stores inside social media and messaging apps like Messenger, Instagram, and Viber, as well as in mobile wallets such as GCash. Simply put, we are trying to recreate the WeChat Mini Program ecosystem in the Philippines. This new direction gained early traction, especially when the pandemic hit in 2020 and physical stores rushed to go online.
Read more: https://medium.com/mastercardstrive/chatgenie-powers-small-businesses-in-the-post-pandemic-world-with-social-commerce-tools-283a1a534e32

However, after a few years, we noticed that our product segment wasn’t growing as we had hoped. Our participation in Techstars San Francisco in October 2023 helped us realize we needed a new approach. I spent an extra month in the Bay Area this January 2024 to explore new ideas, and that’s when the current wave of AI innovation caught my attention. Initially, I was skeptical due to our experiences in 2018, but through conversations with AI-focused founders and attending meet-ups and demos, we began experimenting again with AI.
Read more: https://www.techstars.com/newsroom/techstars-future-of-ecommerce-powered-by-ebay-announces-inaugural-cohort
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By February 2023, we started building our multi-AI Agent Framework, applying what we call “Agentic AI” to help enterprises automate their customer service, order collection, and overall business operations‍

Who is behind ChatGenie? Are you fund-raising?

ChatGenie was co-founded by me and my partner, Nico. So far, we’ve raised over $500,000 from angel investors and accelerator programs.While we’re not currently in an active fundraising phase, we have been speaking with potential investors who are interested in the direction we’re taking with ChatGenie’s AI-driven solutions

⁠Overview of the market: How has adoption been so far? Feedback from clients?

Less than a year after figuring out and fine-tuning the product, we’ve started engaging directly with enterprise clients this quarter. We’ve already signed on two enterprise accounts and are in the final stages of discussions with two additional telco enterprises.

What stood out to us is how eager these organizations are to leverage AI to improve operational efficiency. However, a common concern they share is the risk of AI “hallucinations,” where the technology provides incorrect or misleading responses. We explain our multi-AI Agent framework to address this, detailing the built-in safeguards and workflows designed to ensure safety, security, and higher accuracy. This transparency has helped reassure our clients, and their feedback so far has been positive and encouraging.

Founder Profiles

Ragde Falcis

Ragde Falcis is the CEO, CTO, and Co-founder of ChatGenie. He has over a decade of tech experience with a degree in computer science, having worked on projects for the Presidential Communications Group, DTI, and McDonald's PH. ChatGenie's team built a Multi-AI Agent Framework to automate and improve customer service, order collection, and management within social media and messaging apps.

Ragde’s intro by one of the Angel Investors during a talk

Ragde’s journey is one of innovation and adaptability. Starting as an aspiring video gamedeveloper, he pursued computer science and like some of you here today, became a teacher,sharing his knowledge and inspiring future tech leaders. After joining Startup Weekend Manila in 2011, his entrepreneurial spirit was ignited. Ragde made a bold leap and left his teaching career to dive into the dynamic world of startups.

Only 4 years ago, just weeks before Metro Manila’s first lockdown, Ragde and his teamlaunched ChatGenie, a backend engine behind popular social messaging apps designed toempower businesses of all sizes, in essence, to create their online stores, seamlessly takingorders, payments and even integrating with delivery apps, all with no coding required. Imagine atool that helps local entrepreneurs adapt to the digital world almost overnight, bridging traditionalbusinesses with the fast-paced world of social media, a lifeline during the most challenging daysof the pandemic. Thanks to Ragde and his team, over 5,000 MSMEs then have processedmore than 100,000 transactions, proving that even small businesses can thrive in the digital age.

I met Ragde online during the lockdown when he was in the midst of raising funds for hisbusiness. Given his career is marked by a unique blend of hands-on technical expertise andvisionary leadership, it wasn’t a hard decision before together with a friend, we decided to investin his vision.

Before ChatGenie, Ragde led a software development agency and a travel startup, honing hisskills in product development and team building. His work with global brands like McDonald’sand Johnson & Johnson has shaped his understanding of what it takes to deliver innovativesolutions at scale. Recently, under his leadership, ChatGenie’s technical team continues topush boundaries, launching cutting-edge AI tools to help businesses connect withcustomers more effectively.

But Ragde’s impact goes beyond business. He has developed a framework for nurturing techtalent in the Philippine startup ecosystem, helping to pave the way for the next generation ofinnovators.

Nico Nicomedes

Nico is the CMO and Co-Founder of ChatGenie. Prior to ChatGenie, Nico Nicomedes was the Digital Marketing Director at Hammerspace Inc & Senior Digital Producer at IPG Mediabrands Thailand. With 18+ years in Digital Marketing, he led successful projects for brands like Coca-Cola, Nestlé, Philip Morris at Publicis, Arc Worldwide, and Leo Burnett Manila.

Recent Press Releases

ChatGenie unveils AI multi-agent framework for BPO productivity‍

Dec 09. 2024• technology.inquirer.net

MANILA, PHILIPPINES – Filipino customer engagement solutions startup ChatGenie unveiled its AI-driven multi-agent framework for the BPO sector.It uses various AI models, such as OpenAI’s GPT-4o and Meta’s Llama 3.1, to perform essential operational tasks.

Adapt or die: ChatGenie’s AI takes aim at Philippine BPO industry

Dec 09. 2024• mb.com.ph

ChatGenie's AI-powered multi-agent framework is set to disrupt the local business process outsourcing (BPO) sector by transforming the role of customer service agents, allowing them to focus on more complex and strategic tasks.

ChatGenie:AI to disrupt BPO industry

Dec 09. 2024• manilastandard.net

ChatGenie, a customer engagement solutions startup, said it introduced a cutting-edge AI-driven multi-agent framework that can disrupt the Philippine business process outsourcing (BPO) sector by elevating the roles of traditional customer service agents.

ChatGenie launches AI-powered multi-agent framework for BPOs

Dec 12. 2024• bworldonline.com

CUSTOMER engagement platform Chat-Genie has launched an artificial intelligence (AI)-powered multi-agent framework to help speed up tasks in traditional business process outsourcing (BPO) roles.ChatGenie’s multi-agent framework deploys AI agents, which will take charge of customer interactions, enabling human workers to focus on handling more complex tasks such as resolving intricate customer issues, building client relationships, and driving customer success initiatives.

ChatGenie launches multi-AI agent to improve customer engagement

Nov 25. 2024• technology.inquirer.net

MANILA, PHILIPPINES – AI-powered customer engagement platform ChatGenie launched a proprietary multi-AI agent framework to enhance customer engagement. It enhances the accuracy and relevance of interactions between local enterprises and their customers.

Product Highlights

Inbox Manager

The Inbox Manager consolidates incoming messages and comments from Facebook, Messenger, and Instagram into a single, intuitive interface. Customer service agents can reply manually and have full visibility into automated chatbot responses. The Multi-AI Agent response breakdown section empowers teams to understand and refine how the AI crafts solutions.

Sentiment Analysis Agent - Negative Sentiment Filter

The Negative Sentiment filter highlights conversations that need special attention, allowing your team to prioritize unhappy customers and deliver quick, personalized resolutions.

Chatbot Settings

ChatGenie's customizable chatbot settings let businesses tailor how they engage with customers. Ranging from fully automated responses to guided interactions, ensuring a balance between personalized support and efficiency.

Chatbot Copilot Mode

In Copilot mode, ChatGenie’s chatbot assists human agents by suggesting context-aware responses, speeding up support while maintaining a personal touch.

Business Messaging

ChatGenie’s broadcast feature lets businesses schedule and send targeted messages about promotions, deals, and product launches, keeping customers engaged and informed.

Integrated Click-to-Messenger Ad Campaign Editor

ChatGenie’s integrated Meta marketing feature streamlines click-to-messenger ad creation, backed by an AI Lead Targeting Agent that recommends optimal campaign settings.

Core Technology - Multi-AI Agent Framework

To enhance accuracy, we developed our proprietary multi-AI agent framework. This system enables a team of AI agents to work collaboratively, ensuring every response is safe, secure, accurate, and relevant.

Simply put, ChatGenie's approach resembles System 2 thinking: the inquiry is first analyzed and broken down if necessary before drafting a response.

How It Works

Customer Inquiry ➡️ Intent AI Agent ➡️ Prompt Guard AI Agent

First, the Intent AI Agent ensures that each customer inquiry is thoroughly understood. Then, the Prompt Guard AI Agent assesses whether the reinterpreted inquiry falls within defined parameters. Inquiries unrelated to the merchant's business operations are not entertained and are handled appropriately. This agent also identifies malicious inquiries, such as prompt injection techniques or vulgar messages directed at the business's social media pages

Classification AI Agent ➡️ Conversation AI Agent ➡️ Refinement AI Agent

After approval, the Classification AI Agent analyzes the type of inquiry. Different inquiries receive tailored treatments, and while we won't discuss all specifics here, multiple routes are available depending on the inquiry type. For this explanation, we'll assume the inquiry is a general type of inquiry. Once classified, the Conversation AI Agent drafts the initial response.

To provide context or Retrieval Augmentation Generation (RAG) for AI-generated responses, ChatGenie's chatbot uses various data sources, including:

• Uploaded information on the merchant dashboard (checkout configurations, delivery areas, shipping options, payments, discounts, promos, and products)
• Uploaded FAQ entries for general inquiries
• Chat conversation history to enhance response accuracy
• Customer profile memory to deliver more precise responses based on preferences

All generated responses pass through the Refinement AI Agent, which assesses accuracy and relevance. If acceptable, it seeks to enhance them further. The Conversation AI Agent and Refinement AI Agent iterate until the final response meets our standards.

‍Note: The above explanation simplifies our proprietary multi-AI agent framework for generating responses to general inquiries. The approach may vary for different business use cases.

Contact & Resources

Press Contact: ragde@chatgenie.ph

Website: https://chatgenie.ph

Social Media: https://www.facebook.com/@ChatGenie

Press Kit Download:https://drive.google.com/drive/folders/
1PYFXfZTMcs-2kjr8dXoDir9JlQFZsjZA?usp=sharing

Presentation Link: https://www.canva.com/design/DAGSSqRL-ho/8dSiDbRFOA75pcASnriUyw/view?utm_content=DAGSSqRL-ho&utm_campaign=designshare&utm_medium=link2
&utm_source=uniquelinks&utlId=UNAVAILABLE