Naoma AI Demo Agent - The video AI demo agent for B2B SaaS for immediate demos
Turn “Book a demo” into “Get an AI demo now.” Naoma is the first video AI demo agent for B2B SaaS that delivers live, personalized demos in-browser 24/7 in any language. It clicks through real product flows, answers questions, qualifies prospects, and routes them to CRM, sales calendar, or checkout. Choose the avatar style: human-like, branded mascot, or a more formal look to engage your prospects.
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Phenomenal product!
@lamitr_dhir thank you
@lamitr_dhir thank you for your feedback!
@lamitr_dhir Many thanks!
@lamitr_dhir thanks for the support!
I have said it before, and I will say it again: AI used to tackle actual real problems and inefficiency of the business is the best. That's what I like about Naoma - I work with dozens of SaaS founders, and I can guarantee you the biggest (if not only) bottleneck for scaling operations in SaaS isss... more Demo. It's really hard. The biggest sales conversion factor? How quickly can you get a person on a call? So, yes, I am very optimistic about Naoma's use case
@dowhatmatter means a lot, especially coming from someone who sees this pattern across dozens of SaaS companies, not just one.
You nailed it: speed to first conversation is the single biggest lever most teams aren't pulling. Everything else - messaging, pricing, the demo itself - comes after that moment.
Really appreciate the support. 🙏
@dowhatmatter Thanks a lot for your support!
Is the hyper personalization aspect able to lead with a more "how we help solve your pain point" approach? With demos, I wouldn't want to lose a potential prospect because the AI sales agent tried to pitch features instead of solving for the prospect's actual challenge.
@lienchueh thanks for your question!
Naoma is designed to lead with discovery, not features. The agent asks questions first: what the prospect is trying to solve, what's not working today, what success looks like for them. The product demo follows that context, not a predetermined script.
The goal is for the prospect to feel understood before they see anything. A feature shown in the context of a specific pain lands completely differently than the same feature in a generic tour.
That said - the quality of that personalization depends heavily on how well the agent is configured. The more context you give it about your ICP and common pain points, the sharper the discovery conversation gets.
Happy to show you how that looks in practice if you want to see it live.
@lienchueh yes, exactly, the goal of the agent is to extract the pain points and to show what is relevant to the prospect situation
@lienchueh thank you for the question!
Congrats on the launch!
@shreya_r_nambiar Thank you!
@shreya_r_nambiar thank you!
@shreya_r_nambiar Many thanks!
@shreya_r_nambiar thanks for supporting us!
Congrats on the launch!
Are the recommendations generated purely from LLM analysis or from patterns learned across many sales calls?
@hmadhsan there is no recommendations. It's a pure automation of your demo flow
@hmadhsan thanks for the Q! If you mean recommendations after the demo - we provide a summary of the conversation, full transcript, and the qualification the agent made
@dzmitry_ivanouski ah ok, thats super cool! good luck guys 👍
@hmadhsan thank you!
A small step for Naoma, a giant step for mankind :)
@dmitry_nekrasov Thank you!
@dmitry_nekrasov yeah.. thanks!
@dmitry_nekrasov ahaha to the moon!
@dmitry_nekrasov hah, thanks, Dima!
Congrats on the launch 🚀 The instant demo thing makes total sense, we see the same problem from the integrations side. Leads go cold while waiting for a scheduled call and half of them just move on.
@mariia_sosnina thank you!
@mariia_sosnina thanks for the support!
@mariia_sosnina thank you!
How does Naoma's AI handle the transition between different product flows and scenarios, considering that a prospect's inquiry might not always fit a pre-defined set of paths?
@zhukmax It is possible to configure the agent in the way so it has tools and flows that cover most of the needs. The demo flows are flexible and adapt to the prospect needs
@zhukmax @david_klassen yep, we are trying to cover the most common scenarios and functionality requested by users. And it's not scripted - so agent can go back and forth based on the user's context
Congratulations on the launch @dmitry_zakharov_ai and team. Will share this with my team. All the best:)
@dmitry_zakharov_ai @michael_talreja Thank you
@michael_talreja thank you!
Great launch, congratulations!
@mikhail_fedorinin wow! Thank you! So cool that you noticed our product, Mikhail!
@mikhail_fedorinin Thank you!
@mikhail_fedorinin thank you!