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About SerenityGPT

Cutting through AI noise with natural-language automation and measurable ROI.

What is SerenityGPT and how does it work

The amount of AI noise is deafening, and many teams are still searching for answers using keywords, engaging in back-and-forth with customers over routine issues, and following manual steps that can be automated with AI that understands language.

SerenityGPT cuts through the noise. It plugs into all of your internal data sources (SharePoint, Jira/Zendesk, Confluence, Salesforce, Slack, docs, etc) so people can simply ask for what they need. Then, SerenityGPT automates the manual steps that depend on looking things up and making routine decisions, from support workflows to onboarding and ops.

What SerenityGPT does

Connects to your internal data sources so people can ask in plain language and automates manual, lookup-heavy steps.

What business impact do teams see with SerenityGPT

This matters because it shows up directly in your numbers: teams using SerenityGPT see 50% savings on support costs, resolve 80% of questions through self service, boost retention, and streamline onboarding.

They also get something customers and stakeholders care about a lot right now: a clear way to prove they are using AI to create measurable ROI. SerenityGPT is built by a team of AI experts, is typically 10x cheaper than building in house, and delivers results within days instead of months. It runs securely within your infrastructure so your data stays where it is, and it is already trusted by global firms including Perforce and InterSystems.

Why teams use SerenityGPT

Direct impact on support costs, self service, retention, onboarding, and AI ROI.

Our leadership team

Victor Naroditsky - CEO

Victor Naroditsky

CEO

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A product & people leader with a track record of launching successful products and leading engineering teams. Holds a PhD in AI.
Vitaliy Kucheryaviy - CTO

Vitaliy Kucheryaviy

CTO

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Experienced CTO with 20 years in technology. Creator of the popular Python web framework Django-Ninja (7.4k stars on GitHub).
Richard Chmiel - Head of Sales, US

Richard Chmiel

Head of Sales, US

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Seasoned business builder and growth expert skilled at developing and implementing go to market strategies for in fintech and AI.
Alex Belenky - Senior Adviser

Alex Belenky

Senior Adviser

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An international commercial leader who, for over 20 years, has been driving growth, global expansion and building sales teams while working at Microsoft, Google, Wrike, Nokia, etc.
Keith Hall - Adviser

Keith Hall

Adviser

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A Machine Learning and generative AI expert. Served as a research scientist and manager at Google Research for 14 years.
Ed Dolman - Adviser

Ed Dolman

Adviser

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A go-to-market specialist with 25 years of experience in senior leadership positions at Cellebrite, Symantec, VMware, Tableau and Salesforce.