Analyzing, optimizing and testing virtual agents on any platform
We use machine learning tools, structured processes, and huge volumes of data to give businesses new ways to study, fix, enhance, and upgrade their virtual agent experiences.
What we do
Offer a suite of Conversational AI solutions to help businesses increase customer satisfaction, contain costs, and maximize revenue.
Use specialized analytics, optimization, testing tools and huge libraries of AI training data to ensure clients maximize their Conversational
Help brands around the world outsource specific Conversational AI needs and access experienced Conversational AI specialists.
We’ve been optimizing NLP systems for our clients since 2014 and have developed proprietary technology that helps businesses optimize and enhance virtual assistants.
2012 — Wysdom founded
Wysdom is formed (as CrowdCare) in Toronto with the thesis that combining natural language processing technology with massive amounts of customer data will provide a much better question answering solution. The initial development team is hiring.
2014 — Hello Wysdom!
2015 — More platforms, more answers
Wysdom unveils its first multi-channel implementation, opening the doors for digital care on any platform a customer chooses. It can now divert 40% of queries and understand 40,000 questions. Fido chooses Wysdom to power their digital care.
2016 — Making innovation official
2017 — New name, same care
2019 — More tools, more capable virtual agents
2020 — Doubling down on analytics
During an unpredictable year, Wysdom focuses on new analytics tools, partners with Google Contact Center, and continues growing the Conversational AI capabilities of our clients.
2021 — Opening up to any virtual agent framework
Who we can help
Enterprise customers who need or
already have a virtual agent and want to make it better and smarter.
Virtual agent platform
Sales and client service leaders who want to ensure their client deployments are successful.
for implementing, integrating,
or providing analytics for virtual agent systems.
We work with a huge ecosystem of providers to ensure your Conversational AI solution suits your business.
Ian has founded and grown 6 technology companies over the past 20 years, primarily in the enterprise software space including Wyrex, Mobile Diagnostix (HP), Clickfree, and most recently Wysdom.AI.
Ian invests, mentors, and sits on the boards of several startups in the Toronto area.
Jeff has more than 20 years of experience in the startup world, founding and growing 4 software companies: AracNet, Mobile Diagnostix (HP), ClickFree, and Wysdom.AI.
His in-depth understanding of software development and the challenges in making new technologies successful in the startup world prove invaluable as he serves on the boards of XMG, SurfEasy (Opera), Locationary (Apple), Groupie, and as an advisor to Pushlife (Google), LogMeIn (IPO) and HP.
Jeff holds 23 issued patents in the wireless and consumer electronics spaces and is the lead inventor on 30+ pending patents.
Chief Operating Officer
Nitin has over 20 years of success in global executions of business technology, driving operational efficiency and digital scalability for some of the world’s largest enterprise clients.
Nitin spent 16 years at Redknee holding executive positions in Research and Development, Customer Operations, Partner Alliances, and most recently as COO.
Chief Engineering Officer, Co-Founder
With 20 years of experience in software and mobile, Karen has held senior technical roles at 5 startups, including Wysdom.AI, Clickfree, Mobile Diagnostix (HP), Teamatic, and Virtualthere.
Fred brings in 25 years of international experience in sales and business development across North America, the Caribbean, Asia-Pacific, Europe, and the Middle-East.
Prior to Wysdom.AI, he held sales leadership positions at Oracle, Redknee, and Movius/Glenayre, successfully growing revenues in both large and small organizations. Fred has also been involved in the start-up community in the earlier stages of his career as an Investment Manager with SP Capital and was an alternate director on a few investee companies.
VP, Optimization & Delivery
Michel has 20 years of experience in leading the successful delivery of Conversational AI and Natural Language Customer Care solutions to some of the largest financial, telco, healthcare, utilities, and retail enterprises throughout North America.
Prior to joining Wysdom, Michel spent 20 years at Nuance Communications, holding senior management and leadership positions within the enterprise division, most recently as director of the Toronto office and professional services team.
As a Data Scientist, your day-to-day will involve writing queries, building dashboards, and preparing analytical reports about product performance for our clients and the Wysdom.AI team. You will work with SQL, Tableau, and Python and ML Frameworks/libraries (among other tools) to create stunning visuals showing how Wysdom.AI is making their customers’ experience even better.
Chief Technology Officer
Karthik has over a decade of hands-on, proven global expertise in emerging technologies and implementing intricate platforms and solutions for telecommunications and enterprise during his time at Amdocs, with senior positions in their India, Cyprus, America, and Canada offices.
VP, Product & Analytics
Artiom has spent 10 years in software and mobile engineering, specializing in quality assurance and customer service. He has worked in testing and QA at both startups and in enterprises such as Clickfree, TELUS, and Freescale Semiconductor.
As an Implementation Engineer you will be responsible for the solution integration of an enterprise grade conversational AI experience from a technical perspective. You will work closely with the lead solutions architect and be the technical face of the implementation team and lead the customer through the entire implementation cycle. You will work with one of the most diverse teams of linguists, data scientists, and innovators to deliver the best AI enabled customer experience.
Responsible for the overall success for the client, including the end-to-end delivery and optimization of the solution, you will manage the sales process from pillar to post, including technical and commercial proposals, pipeline management, sales forecasting, and contractual documentation.
As a Conversational AI Optimization Specialist, your responsibility will be to help drive the success of our solution for our clients. This involves building conversation flows, performing AI training, and partnering with clients to enhance their deployments.
As a Conversational Experience Designer, you will be responsible for the designs of the overall customer experience, including the end-to-end dialog flows & journeys of the solution ensuring design leverages UxD best practices for optimal customer experience.
As a Cognitive Data Specialist, you will be responsible for the performance of the AI and quality of the corpus and will focus primarily on the VA training. You will work with the client as required to ensure corpus is performing in an optimal manner.
As a Solutions Architect within the Client Services team, you act as trusted advisor, responsible for the technical requirements and end to end solutions integration of Wysdom cognitive services within the client’s environment. You will work with one of the most diverse teams of linguists, data scientists, and innovators to deliver the best AI enabled customer experience.