WHO WE ARE
We’re a team specialising in multilingual data, NLP, and practical AI strategy. We help businesses turn scattered data into clean, AI-ready foundations and design workflows that scale across markets, languages, and customer touchpoints.
We want you to feel confident navigating AI with clarity and control, not hype.
Our mission is to help you explore AI with intention, ensuring you’re always driving your organisation in the direction you envision.
HOW WE WORK
Transparency is Key
We believe AI doesn’t have to be complicated. We break it down, keep it straightforward, and focus on what actually works for you.
Ethics & Privacy Always
AI should help, not harm. We’re committed to solutions that are responsible, fair, and built with integrity at every step.
Results Matter
It’s not about using tech for the sake of it, it’s about meaningful improvements that keep your business competitive and ready for what’s next.
“AI is the future, and those who embrace it today will shape the future of business and success tomorrow.”

Founder and AI & Systems Engineer
As Founder and AI & Systems Engineer, Karina works at the forefront of AI and emerging technologies, dedicated to bridging the gap between innovation and real-world application. With a strong technical background and a talent for communication, she excels at making complex AI concepts accessible and actionable for businesses and individuals.
Driven by a deep understanding of people’s unique challenges and needs, she combines technical expertise with a human-centered approach, specialising in translating the possibilities of AI into practical systems that help organisations navigate and embrace change with confidence.

Julie Giguere
Principal Consultant
Julie is a consultant and subject matter expert in Natural Language Processing, with a track record of helping multinational organizations and content teams with NLP-driven workflows.
She's spent over 15 years in leadership roles across global language service providers, leading strategy, operations and technology-led change initiatives that bridge the gap between commercial reality and the promise of AI.
She joined The New Way, founded by her cousin Karina, to bring her NLP expertise and ethical approach to AI: one that respects people's time, talents and culture as much as it values automation. Julie partners with teams to implement AI workflows that are multilingual and multimodal by design, so they can be deployed in busy, multicultural organizations.
Fluent in English, French and Spanish, she works with leadership teams to turn data into practical, ethical and scalable advantage.
WHAT OUR CLIENTS SAY
"AI-powered automation has completely changed how we source sites. What used to take hours of manual research is now streamlined into minutes, giving us more time to focus on high-value decisions. With The New Way, we've built an automated outreach process that not only reduces repetitive tasks but also improves accuracy and speeds up deal flow. The impact was immediate, better insights, faster results, and a smarter way to scale."
"The New Way helped us stay organized and efficient. Keeping track of patient information and managing schedules is now seamless. With AI-powered transcription and insights, we can automatically capture key details, determine next steps, and streamline meetings. This allows us to focus more on our patients while reducing administrative workload and improving overall accuracy."
"With The New Way, we built Propheos, a fully agent-automated platform for lead sourcing and outreach email automation. Intelligent agents now handle prospecting, qualification, and personalised outreach end to end, replacing hours of manual research with a system that runs continuously and scales with our pipeline."

LET'S TALK
Discover what's possible, in every language your business speaks.
Got questions about AI, NLP, or multilingual data? Ideas you want to bring to life? Whether you're exploring options or ready to dive in, we're here to help make AI simple, approachable, and impactful across every market you serve.
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