Y Combinator on LinkedIn · Aug 2025
Launch post describing Panels as voice-AI audio data infrastructure, citing a vetted community of 4,000+ contributors and the company’s initial target customers.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Panels is a San Francisco-based Y Combinator startup that builds high-quality audio datasets for Voice AI teams, including speaker-separated multilingual audio, scripted single-speaker data, and turn-taking evaluation data. It serves labs and startups that need curated speech data for training and evaluation.
Primary product
Audio datasets and speech data for Voice AI
Founded
2025
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Artificial intelligence
Sub-industry
Voice AI data / speech datasets
Offices
0 jobs at Panels
Check back later for new openings
Business model
Stage
Y Combinator Summer 2025 / pre-seed
Latest round
Y Combinator Summer 2025 · Aug 2025
Aug 2025 · Y Combinator
Investors
Public materials emphasize an in-house, iterative workflow: research the spec, collect data, run QA/transcription/review, then expand coverage based on model feedback.
Compensation
A public YC founding-engineer posting listed $120K-$200K salary and 0.50%-1.50% equity for the San Francisco role.
Pricing
Quote-based custom projects plus off-the-shelf dataset sales; exclusivity rights available for some data
Differentiators
Technology
Customers
Competitors
Y Combinator on LinkedIn · Aug 2025
Launch post describing Panels as voice-AI audio data infrastructure, citing a vetted community of 4,000+ contributors and the company’s initial target customers.
Startup Intros · Aug 2025
Profile page identifying Aaron Wenk and Jason Le as founders and describing Panels’ audio-data product.
PlatoSeed · Aug 2025
Third-party profile summarizing Panels as a Voice AI data company founded in 2025 and launched on YC in Aug. 2025.
Y Combinator · Aug 2025
YC company profile and launch page stating Panels is a Summer 2025 company building high-quality speech datasets for Voice AI.