Discover

Multimodal Agents by Sierra

Voice, text, and visuals combined in one evolving conversational interface
7 ratings4.04
Saves93
CategoryProductivity
PlatformWeb
PricingFreemium

Multimodal Agents by Sierra enables customer support conversations that seamlessly integrate voice, text, and interactive visuals in real-time. It automatically adapts the interface to the conversation's needs, allowing users to switch between explaining requests by voice, comparing options visually, and referencing details via text, all within a single agent experience deployable across multiple channels.

Ratings & Reviews

Write a review
4.04

7 reviews

Product
3.54
Design & Polish
4.54
Performance
4.04
Mobile PageSpeed
Performance
55 out of 100, Needs improvement
Accessibility
99 out of 100, Good
Best Practices
100 out of 100, Good
SEO
100 out of 100, Good

Website checks are queued. Results will appear here when complete.

Be the first to share a thoughtful review.

Information

CategoryProductivity
PlatformsWeb
PricingFreemium
AccountNot confirmed
ListedSeptember 2026
Report a problem

Website checks

Mobile PageSpeed
Performance
55 out of 100, Needs improvement
Accessibility
99 out of 100, Good
Best Practices
100 out of 100, Good
SEO
100 out of 100, Good

Website checks are queued. Results will appear here when complete.

Around the Web

Product Hunt93 source points · 3 comments

the "automatically shifts modes based on context" part is the piece I'd want to see fail gracefully - what happens when the agent decides a visual is needed but the customer is on a phone call with no screen in view, or picks voice for someone in a quiet office who can't talk back? is there a way for the customer to override the agent's mode choice mid-conversation, or is that decision entirely agent-side?

galdayan · Imported from Product Hunt

The detail I keep coming back to is the agent deciding when to switch, rather than the user picking a channel up front. I work on voice AI at Callie Care, where the person on the call is often in their 80s, and the hard part was never the speech model, it was knowing when voice stops being the right surface. A lot of our failure cases are moments where someone needed something they could look at again later. How does the agent decide to break into a visual? Is it intent based, or are you reading signals like repeated clarification and long pauses? And when it hands back to voice, does it carry the same context or restart the turn?

igorgurovich · Imported from Product Hunt