Naoma AI Demo Agent: The "AI Stunt Double" for B2B Sales—Real Necessity or Over-Engineering?

2026-03-13 | ProductHunt | Official Website

The interface showcases Naoma's AI virtual sales representative—a digital human in professional attire, emphasizing the core selling point of 24/7, multi-language personalized demos. The overall design uses modern illustrations with a lavender purple theme and gradients, balancing professionalism with approachability.

30-Second Verdict

What is this?: It replaces the "Book a Demo" button on B2B websites with "Get an AI Demo Now." An AI video avatar performs real-time product demos in the browser, clicking through the actual product interface, answering questions, and qualifying leads—all without a human sales rep.

Is it worth watching?: Yes, but it depends on your perspective. If you run a B2B SaaS and demos are your conversion bottleneck, this might be one of the most worthwhile things to try this year. However, if your product requires highly customized demos, it might not be mature enough yet. Winning PH #1 with 754 votes shows real market excitement for "AI replacing SDRs."

Three Key Questions

Is it relevant to me?

Who is the target user?:

• Marketing/Sales teams at B2B SaaS companies, especially those with a PLG (Product-Led Growth) model.
• Small to medium teams with limited sales reps but high demo demand.
• Companies targeting global markets (30+ language support is a major pain point).

Am I the target?: You are if you fit any of these scenarios:

• Your site has a "Book a Demo" button, but it takes 1-2 days to respond.
• Your sales team spends 50% of their time on low-quality intro demos.
• You want to go global but lack a multi-language sales team.

When would I use it?:

• When a visitor shows high intent → Trigger an AI demo immediately so they don't leave.
• Late nights/weekends/off-hours → AI handles visitors 24/7.
• Cold starting in overseas markets → 30+ languages automatically adapted.
• Screening high volumes of low-value leads → AI qualifies them before passing them to humans.

Is it useful to me?

ROI Judgment: If your demo conversion funnel is clearly clogged (high traffic but low demo booking rates), it's worth a try. Official data suggests visitor-to-AI-demo conversion rates of 6-20%, compared to an industry average of 1-2%—even at half that, it's a 3-10x improvement. However, this assumes your product is suitable for standardized demos; if every client needs a highly bespoke tour, AI isn't there yet.

Is it engaging?

The Highlights:

• 10-Second Demo Start: Visitors don't need to fill out forms, wait for emails, or book times. They click and watch. This is a massive draw for impulsive buyers.
• Real Product Interaction: It’s not a PPT or a pre-recorded video; it actually clicks through your product while answering questions.
• Auto-Qualification: The AI judges lead quality during the demo, pushing qualified ones directly to CRM or a booking calendar.

The "Wow" Moment:

"Redesigned the Naoma AI landing page in 2025. Today I see them at #1 on Product Hunt" — @alimdesigner_, a designer who worked on Naoma, couldn't help but tweet when they hit #1.

Real User Feedback:

Positive: "Clean dashboard, deep call evaluation, surprisingly accurate multi-language transcription" — Trustpilot User Neutral: "I wonder how the qualification accuracy compares to a real person after running hundreds of sessions" — PH Commenter Team Honesty: "Our product cannot handle all edge cases; we will honestly inform customers when a real person is needed" — Dmitry Zakharov

For Independent Developers

Tech Stack

• Frontend: Embedded in-browser video agent, insertable into websites, landing pages, or emails.
• Backend: Conversational AI + interactive video engine, adapting in real-time to user input and context.
• AI/Models: Conversational AI (specific LLM not disclosed) + digital human avatar generation (supports custom looks: realistic humans, brand mascots, etc.).
• Infrastructure: Cloud SaaS, CRM integrations (automatic demo data entry).

Technical details on the LLM used, avatar rendering, and real-time video streaming are not public. Based on performance, the core challenges are: real-time dialogue understanding + virtual human video generation + real product UI automation (RPA).

Core Functionality Implementation

Essentially, Naoma glues three things together:

1. Dialogue AI: Understands user questions, determines intent, and decides the next demo step.
2. Digital Avatar: Gives the AI a face and voice, presented in video format.
3. Product RPA: Automatically clicks, navigates, and showcases features in a real product environment.

While solutions exist for each individually, chaining them in real-time for a fluid "AI Sales Rep" experience is a significant engineering feat.

Open Source Status

• Is it open source?: No, there are no related repositories on GitHub.
• Similar Open Source Projects: No direct competitors. The closest would be a combination of Open Interpreter (code execution agent) + D-ID/HeyGen (digital humans) + various demo recording tools, but no one has packaged them into a complete "AI Demo Agent."
• Difficulty to build: High. Estimated 3-5 person-months. The main difficulty is the low-latency chaining of real-time video + dialogue + RPA, and the naturalness of multi-language TTS.

Business Model

• Monetization: Per-demo fee (SaaS).
• Pricing: Target $10/demo (for demos over 3 minutes); final pricing is still being adjusted.
• Old Pricing: $69-89/user/month (no longer applicable; that was for the pre-pivot analytics tool).
• Early Customers: UXPressia, Yesim, Mellow, etc.

Giant Risk

Medium-High. This direction will attract several types of big players:

1. HubSpot/Salesforce: They already have CRM + Sales Hub; adding an AI Demo Agent is a natural extension.
2. Synthesia/HeyGen: Digital human video companies expanding into Sales.
3. Existing Demo Tools (Navattic/Demostack): Adding an AI dialogue layer.

However, Naoma's moat lies in the end-to-end integration of "real-time dialogue + real product operation," which isn't just a simple feature add-on. Giants usually build general solutions, while Naoma is tackling a very vertical "AI SDR for Demo" scenario. In the short term (12-18 months), giants are unlikely to go this deep.

For Product Managers

Pain Point Analysis

• Problem Solved: The B2B SaaS demo bottleneck—98% of website visitors never reach the demo stage.
• How painful is it?: High frequency + high necessity. The data says:
  • Average response to a demo request: 1 day, 5 hours, 17 minutes.
  • 61% of customers prefer an instant self-serve demo.
  • Sales reps waste 50% of their time on intro demos for unqualified leads.

This isn't a "nice to have"; it's a "leaking money" problem.

User Personas

• Persona 1: Growth Lead at a PLG SaaS. Good traffic but low demo booking rates; wants automation to boost conversion.
• Persona 2: Founder of a small/mid B2B SaaS. Can't afford 5 SDRs, but demo demand is already overwhelming.
• Persona 3: Global SaaS team. Needs multi-language demos but lacks sales staff for every language.

Feature Breakdown

Competitor Comparison

Key Takeaways

1. "Book a Demo" → "Get a Demo Now": This reframing is a great growth strategy in itself. Even without Naoma, reducing demo friction on your site is the right move.
2. The Pivot Path: Moving from sales analytics to identifying demos as the true pain point and pivoting decisively. It shows that being "close to the customer" is more important than the "original plan."
3. Per-demo Pricing Model: More friendly to small/mid customers than per-seat pricing, lowering the barrier to entry.

For Tech Bloggers

Founder Story

This is a classic "finding the real pain point while building" story.

Dmitry Zakharov (CEO) is a serial entrepreneur. After exiting MDS (Eastern Europe's largest online white-collar education platform) in 2022, he started Naoma—originally as a sales conversation analytics tool that connected to CRMs to help teams find top-performer patterns. That version hit #2 Product of the Day on PH.

But while talking to SaaS teams, they kept hearing the same thing: "Our demo is the bottleneck. Buyers don't want to wait, reps can't scale, and too many demos are unqualified."

So they made a big call: A total pivot, rewriting from scratch.

Dima Ivanouski (CRO) has an even more interesting background—originally a PhD in medicine, he transitioned to sales and became one of PandaDoc's first European sales hires, scaling the SMB business from $5M to $85M ARR. His understanding of "what makes a demo close" is something many AI founders lack.

The team is just 6 people (3 co-founders + 2 engineers + 1 HRD). Building an end-to-end AI video demo agent with such a small team shows impressive execution.

Controversy / Discussion Angles

• Angle 1: "Will AI SDRs actually kill the SDR role?"—One of the hottest SaaS discussions of 2026. Naoma is a concrete case study. What happens to companies that replace intro demos with AI?
• Angle 2: "Where is the quality ceiling for demos?"—AI can do standardized demos, but customer questions can be wild. How does the AI gracefully hand off to a human when it's stuck? This is the core of AI reliability.
• Angle 3: "The Art of the Pivot"—Pivoting from an analytics tool to an AI agent after the first product hit PH #2 takes serious guts to chase a bigger opportunity.

Hype Data

• PH Ranking: #1 Product of the Day, 754 votes.
• Twitter Discussion: Relatively quiet; only 1 direct mention in the last 30 days. The product has hype, but social media buzz is still building.
• Media Coverage: Featured in TechFundingNews and MarTech Cube.

Content Suggestions

• Best Angle: "B2B Demos are Being Redefined—I Tried the Market's First AI Video Demo Agent."
• Trending Topic: The "AI SDR Replacement" debate is huge in 2026 SaaS circles; Naoma is the perfect example.

For Early Adopters

Pricing Analysis

Note: Pricing is still being finalized and may change.

Getting Started Guide

• Setup Time: Estimated 30-60 minutes (to configure the product demo flow).
• Learning Curve: Medium—requires defining demo scripts, FAQ libraries, and qualification criteria.
• Steps:
  1. Register at naoma.ai.
  2. Connect your product environment (give the AI a real product account).
  3. Configure the demo flow: demo path, key features, FAQs.
  4. Choose an avatar style.
  5. Embed on your site (replace the old "Book a Demo" button).
  6. Connect your CRM.

Pitfalls and Critiques

1. "Cannot handle all edge cases": The team admits this. If a visitor asks something outside the preset range, the experience might get awkward.
2. Few Reviews: Only 5 reviews on Trustpilot, which isn't enough to judge long-term reliability.
3. New Product = New Bugs: The product was rewritten less than a year ago; expect some rough edges and bugs.
4. Uncertain Pricing: $10/demo is a "target price," not final; it could go up.

Security and Privacy

• Data Storage: Cloud-based.
• Privacy Policy: GDPR compliant.
• Security Audit: No specific audit reports disclosed yet.
• Note: AI demos involve audio and screen recording (with on-screen notifications); ensure this complies with your local regulations.

Alternatives

For Investors

Market Analysis

• Sector Size: Demo Automation market projected at $2.1B by 2026 (Aragon Research); broader estimates range from $1.5B to $5.78B.
• Growth Rate: 12.9%-25% CAGR, depending on category definition.
• Drivers:
  • Remote sales are the new normal; demos are the core conversion node.
  • AI dialogue is mature enough to replace standardized human interaction.
  • Buyer behavior shift: 61% prefer instant self-serve demos.
• G2 ranked Demo Automation as one of the "Top 10 Fastest Growing New Categories for Buyer Traffic."

Competitive Landscape

Timing Analysis

• Why Now?:
  1. LLM dialogue is natural enough for real-time Q&A.
  2. Digital human video tech has improved drastically (low latency, natural expressions).
  3. B2B buyer behavior has changed—they don't want to wait anymore.
  4. The AI SDR concept is a top 2026 SaaS trend.
• Tech Maturity: 85%—Dialogue AI and digital humans are ready, but RPA for "operating in a real product" still has room for improvement.
• Market Readiness: 70%—Large enterprises may be cautious, but small/mid SaaS have real, immediate needs.

Team Background

• Dmitry Zakharov (CEO): Serial entrepreneur, founder of MDS (exited), Y Combinator Startup School alum.
• Dima Ivanouski (CRO): Former first European sales hire at PandaDoc (Unicorn, $1B+ valuation), scaled SMB ARR from $5M to $85M.
• David Klassen: Third co-founder.
• Team Size: 6 (3 co-founders + 2 engineers + 1 HRD).
• Track Record: Naoma v1 (sales analytics) hit PH #2, proving real product delivery capability.

Funding Status

• Raised: $440K Pre-Seed (Feb 2026).
• Lead Investor: ULTRA.VC.
• Follow-on: Sparkle Ventures + Angel investors.
• Valuation: Not disclosed.
• Use of Funds: Product development, engineering hires, customer acquisition.

Conclusion

Naoma has done something bold: AI-fying the most critical conversion node in B2B—the demo. The direction is spot on, and the timing is right. But with a 6-person team and $440K in funding, it's a race against time. If they can scale before the giants react, this could be the next PandaDoc-level success story.

Resource Links

2026-03-13 | Trend-Tracker v7.3 | Sources: ProductHunt, naoma.ai, TechFundingNews, Trustpilot, MarTech Cube, G2, SaaSWorthy, Twitter/X