
Apple ARKit
Made With ARKit
Google ARCore
Facebook AR Studio
SketchAR
Augin
wisaw
Snap's augmented reality platform

Second Nature AI
Yoodli
PitchMonster
Quotain
DIRI AI
character.ai
Gong.io
AI role-play training for sales and call center teams: 700+ realistic scenarios, six caller temperaments, instant five-dimension scoring and coaching. Cut ramp time up to 40% without practicing on real customers.

Which is more popular?
Based on our record, Snap Art seems to be more popular. It has been mentioned 3 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | easylens.snapchat.com | callflow.dev |
| Pricing | — | |
| Platforms | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Snap Art yet.
Call Flow is an AI training platform for sales and customer support teams. Instead of learning on real customers, reps practice realistic calls against AI-powered buyers and callers — then get instant, objective feedback on every session. How it works Practice realistic AI calls. Choose from 700+...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Snap Art is recommended for digital artists, AR enthusiasts, developers, and marketers who are interested in creating engaging AR experiences. It's also suitable for individuals or brands looking to leverage Snapchat as a platform for reaching younger audiences through innovative and interactive content.
No analysis of CallFlow.dev yet.
Walkthroughs and reviews on video.
Snap Art review
More videos
No CallFlow.dev videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Snap Art and CallFlow.dev.
CallFlow.dev's answer:
Competitors may offer generic conversation practice, live coaching platforms, or basic AI chatbots, but CallFlow.dev emphasizes hyper-realistic voice-style simulations, volume of scenarios, real-time multi-dimensional scoring, and enterprise training outcomes (ramp speed + CSAT/FCR lifts). It is particularly compelling for teams that need to scale training without proportionally scaling manager time.
CallFlow.dev's answer:
Scale and realism of scenarios: 700+ dynamic, adaptive AI scenarios covering refunds, upselling, technical troubleshooting, compliance, de-escalation, complex objections, and more. These are not static scripts but branching, emotionally progressive conversations.
• Caller personas and difficulty levels: Six realistic AI caller personas that evolve emotionally, available at beginner, intermediate, and advanced difficulty.
• Real-time evaluation and coaching: Instant AI scoring across key dimensions (rapport, objection handling, resolution quality, professionalism, regulatory compliance) plus personalized coaching tips after every practice session.
• Customization depth: A built-in custom scenario creator that lets teams import their own product knowledge, FAQs, policies, and objection scripts so training matches the exact brand, products, and customer types.
• Manager/ops focus: Certification/readiness scorecards, team analytics, performance tracking, and data that supervisors can use to guide coaching and certify agents at scale.
• Outcome orientation: Designed around measurable business results (e.g., reported up to 40% faster ramp-to-productivity for new agents, improvements in first-call resolution and CSAT) rather than generic soft-skills practice.
CallFlow.dev's answer:
The primary audience is call centers, sales teams, and customer support organizations specifically training directors, operations leaders, contact-center executives, and managers responsible for onboarding and continuous agent performance.
Secondary but closely related users include BPOs, insurance, telecom, and other high-volume customer-facing operations that face long ramp times, high turnover, compliance requirements, or complex objection/de-escalation needs. It targets teams that want data-driven readiness certification rather than informal practice.
CallFlow.dev's answer:
CallFlow.dev originated from real-world call-center and sales-training pain points experienced by its founders. Traditional training was slow, inconsistent, manager-intensive, and left new agents underprepared for live customers.
The platform was built to solve that by giving agents unlimited, realistic AI-powered practice with instant feedback and coaching, while giving leaders the analytics and certification tools needed to scale quality.
It launched as a professional SaaS focused on measurable reductions in ramp time (targeting ~40%) and improvements in performance metrics, with ongoing emphasis on enterprise adoption, custom scenarios, and workforce-development outcomes.
CallFlow.dev's answer:
advanced AI for natural dialogue, emotional progression of personas, evaluation across rapport/objection handling/compliance/etc., and personalized coaching.
Share your experience with using Snap Art and CallFlow.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


You can do your own mask animation using Lens Studio. Try it here. Source: almost 5 years ago
The Snapchat version is basically the same, but it's called Lens Studio. Source: almost 5 years ago
Oh gotcha. Right now it's a developer platform. It runs any JS code + graphics that you write in Lens Studio. https://lensstudio.snapchat.com/. - Source: Hacker News / over 5 years ago
Tracking CallFlow.dev since Jul 2026.
When comparing Snap Art and CallFlow.dev, you can also consider the following products.
A framework to create Augmented Reality experiences for iOS
Compare Apple ARKit to Snap Art or CallFlow.dev:


Hand-picked curation of the coolest stuff made with ARKit
Compare Made With ARKit to Snap Art or CallFlow.dev:



AI sales role-play with instant coaching — reps practice real conversations before every real call. 27+ languages.
Compare PitchMonster to Snap Art or CallFlow.dev: