Today we’re celebrating a big milestone at Ada: we have powered more than 5 billion customer interactions, saved our customers more than 32 million hours of labour, and are now resolving up to 83% of customer service conversations autonomously. We're also doubling our conversation volume every 6 months on our new product. Ada is building a future where your AI is so capable that your customers genuinely prefer it, your support team transforms from a cost center into a growth engine, and you speak to your customers more—not less—at scale. Our newest product is a big leap in that direction, helping companies turn their AI customer agent into their top performing employee. Here’s a look at how:
ada
Software Development
Toronto, Ontario 40,357 followers
We make customer service extraordinary for everyone.
About us
Ada is an AI customer service company making service extraordinary for everyone. A transformation partner and platform that helps enterprise companies deliver experiences people love by accelerating a businesses’ AI maturity and improving Agent performance. Since 2016, we've powered 5.5 billion interactions for brands like Square, YETI, and Monday.com, saving millions of hours.
- Website
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https://www.ada.cx/
External link for ada
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Toronto, Ontario
- Type
- Privately Held
- Founded
- 2016
- Specialties
- Machine Learning, Customer Happiness, Artificial Intelligence, Customer Support, Chatbots, Virtual Assistants, Customer Experience, ACX, Customer Service, ECommerce, Automation, Conversational AI, Customer Experience, CX, and Brand Interaction
Products
ada
Conversational AI Software
ada is the AI customer service company making service extraordinary for everyone. With ada, improving your AI agent’s performance is as simple as four easy steps. 1. Focus on data that drives impact Track, analyze, and improve your AI agent’s performance—focus on resolutions, measure impact with real-time KPIs, and uncover opportunities for continuous improvement. 2. Preview your AI agent in action Refine and perfect your AI agent by simulating real conversations, enabling you to test, learn, and optimize its performance before launching it to your customers. 3. Continuously improve over time Provide feedback with confidence that your AI agent will continuously learn and grow with your business. 4. Automate across channels and languages Effortlessly connect with your customers in over 50 languages, reaching them on their preferred channels—whether through chat, voice, or email—ensuring exceptional customer support wherever they are.
Locations
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Primary
Toronto, Ontario, CA
Employees at ada
Updates
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For some brands, human support is a core part of their ideal customer service offering. While our AI agents are designed to navigate complex inquiries fully autonomously, they can also be configured to recognize high-touch situations where human intervention is the ideal customer service response. Check out Mike Murchison and Matt Turck on The MAD Podcast / Data Driven NYC in the link below in the comments:
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Your AI agent is only as good as the systems behind it. Without the right integrations, your AI is operating at a fraction of its potential—limiting its ability to deliver smarter, more personalized customer experiences. So, how do you cut through the noise and invest in integrations that actually make a difference? Join us for ACX Episode 5 on March 27 at 1:00 PM ET / 10:00 AM PT to learn: → How NinjaTrader creates personalized customer interactions with Salesforce integrations → How to prioritize the right channels and systems to enhance efficiency and business impact → How to collaborate cross-functionally to execute AI-driven integrations successfully Dennis Evans, Director of Client Services at NinjaTrader, will share how their team uses automation and integrations to provide seamless, action-driven support. Megan Myke, Engagement Manager at Ada, will guide the discussion with insights from industry leaders. Seamless AI customer experiences start here. Register now.
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Last month at Stradaganza, we didn’t just set goals—we set the pace for our biggest year yet. → We set our most ambitious vision that will lead AI customer service. → We celebrated our customers who shared insights to build what’s next. → We highlighted the teammates who make the extraordinary happen. A new brand, a new space, and a new chapter of ada. Want to be part of the team leading the charge? We're hiring at ada.cx/careers
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Are you a Customer Service Manager looking to level up your AI management skills? We got you. Explore our curated round-up of recent top guides and blogs designed for you: 1. The comprehensive guide to framing your AI agent's impact to engage your organization. For C-Suite: https://bit.ly/4hhG4mN For Directors: https://bit.ly/4kFxQb0 For Managers: https://bit.ly/4iIE5Jh 2. The ultimate guide to coaching your AI agent for rapid improvement. Blog: https://bit.ly/4kJX3RF 3. The three pillars of voice AI success—quality, customization, and adaptability. Blog: https://bit.ly/3R0Dl6A 4. Key insights from the beehiiv and OpenPhone webinar on crafting a smarter knowledge base for humans and AI agents. Blog: https://bit.ly/4bHQLxP Webinar: https://bit.ly/4kJk4nI Want more? Explore https://www.ada.cx/blog/
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Behind Ada’s AI customer service platform is a legacy of technical excellence from pioneers in computer science and engineering. Here are just some of the brilliant minds our engineering team personally admires for their contributions to the underlying technology that makes Ada's platform smart, precise and human-like. Starting with our namesake inspiration, Ada Lovelace, who pioneered computer programming and laid the foundation for modern computing in 1843. Many women have since then have pushed AI technology forward over the years that continue to inspire our teams at Ada daily: Corinna Cortes, Joelle Pineau, Fei-Fei Li, Sanja Fidler and Mira Murati. #IWD
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ada reposted this
🎧🍌 New podcast out today with Mike Murchison, Co-founder and CEO of ada, on the $750B AI opportunity in customer service. Mike and Ada have quietly built one of the largest AI-native businesses. The nature of its product and scale puts Mike at the forefront at how AI is changing software and labor markets, and this conversation felt like both a glimpse into the future, as well as a look into the past, at a story of pure grit and determination, pivoting to a new market after working seven customer service jobs at once. We talk about why management capabilities becomes even more important in AI-native companies, how customer service is changing from a cost center to a revenue driver, and how to talk to customers more as you scale. We also get into why AI is still underhyped, what truly AI native software looks like, the realities of selling enterprise AI software right now, and advice for anyone building an AI agent from scratch today. 🙏 Thanks to Boris Wertz and Fahd A. for their help brainstorming topics for Mike 🙏 Quick preview here, link to full episode in the comments.
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ada reposted this
Curious how many people have had this experience: You've been messaging customer service using a company's chat, then decide to call in… only to find yourself starting from scratch. No continuity. No history. This isn't a new problem. The "omnichannel revolution" — allowing customers to connect across chat, email, phone, and more — was supposed to solve this. But it proved too costly and labor-intensive to truly connect conversations across different channels. AI is finally changing this. But it's not just about preserving context and history. Now, consumers are able to shift *in real-time* between different channels depending on the use case. This new frontier is true multimodal omnichannel. You might have already had the experience of calling a company and getting a text to confirm your account. But this is the tip of the iceberg. Imagine assembling new furniture or your new Thanksgiving grill and being able to pivot between a text exchange, sharing a pic of the problem, and streaming a real-time video with a support agent. Why does this matter? Companies with advanced omnichannel engagement report a 9.5% YoY revenue increase, compared to just 3.4% for those that don’t. If you’re curious about the future of CX and how omnichannel is evolving into multimodal, check out the insightful post by Maggie from our product team: https://lnkd.in/etAWZzvX
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