AI-Native Consumer & SocialEarly StageConsumerRemesh
Remesh uses AI to engage live audiences in real-time conversations and surface insights at scale.
Startup snapshot
- Stage
- Early Stage
- Funding
- Series B · Jan 1, 2021
- Status
- published
- Updated
- Apr 24, 2026
- Views
- Category
- AI-Native Consumer & Social
- Website
- remesh.ai
What they're building
Remesh uses AI to engage live audiences in real-time conversations and surface insights at scale.
Founders
Andrew Konya
Co-founder
Foundation model usage
Editorial estimates from product descriptions. Model providers and actual usage are not confirmed.
- Inferred architecture
- Consumer inference, Agentic loops, Batch document processing
- Potential advantages
- Network effects
- Estimated model demand
- Very high intensity
Funding
Latest funding: Series B · Jan 1, 2021. Total raised: $26M+. Lead investor: Two Sigma Ventures.
AI Lab Fit
Good fit for personalization, conversational UX, recommendation loops, memory, multimodal understanding, and safe action-taking in consumer contexts.
Notes
Remesh is tagged consumer based on buyer clarity, repeat workflow activity, public activity, and fit with the AI Atlas map.
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