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LansonAI

Voice Context Layer for live speech with real-time captions and translation

Los Angeles, United States

LansonAI
A.I
Pre-seed
Pre-Revenue with Users
Profile Image Zhen Zhang
Connect
https://www.lansonai.com
$ 50,000
5%
$ 30,000
3%
Make an Offer

Summary

LansonAI turns live speech into readable, searchable, multilingual context with stable real-time captions, translation, and AI workflows. Lanson Live, its flagship product available on iOS and web, uses patented Stable Stream™ technology for zero-jitter, cognition-safe rendering across 100+ languages.

Notable Achievements

LansonAI is building the next-generation Voice Context Layer between people and machines. Our first product, Lanson Live, makes live speech easy to read and follow through stable real-time captions. Unlike transcription tools that optimize for speed and produce noisy word streams, we optimize for whether speech can actually be followed and used in the moment. The core pipeline is live on iOS and web, with early organic paying users before formal public launch.

Pitch Video

The Business

LansonAI builds the Voice Context Layer for live speech, converting conversations, events, streams, and meetings into real-time multilingual captions and translations. The core product, Lanson Live, leverages Stable Stream™ technology—a zero-jitter engine with patented zero-reflow rendering that eliminates visual flicker and reduces cognitive load. Supporting technologies include Lanson Trinity Engine™ (voice intelligence infrastructure), Lanson Transcript Track™ (speech-to-text with speaker diarization), and Lanson Ripple Engine™ (real-time transcript editing). The platform supports 100+ languages and is positioned for meetings, creators, live events, accessibility, and online streaming.

The Market

Assumption: LansonAI addresses the accessibility, meeting intelligence, and live streaming markets where real-time multilingual captions and stable, readable transcripts reduce cognitive friction. Demand drivers include remote work, global teams, live content creation, and regulatory accessibility requirements. The company competes in the live captioning and speech-to-text space, differentiated by its focus on rendering stability and multilingual real-time performance.

Objective/Future (Use of funds)

Our next focus is to expand public beta, improve retention, and start focused user acquisition around accessibility, public events, and other live speech use cases.

The Team

ZHEN ZHANG - Founder

I have built and delivered LansonAI end-to-end myself — from every line of code and product feature to the design assets and marketing content. This lets me maintain extreme velocity and total control over the product vision.

Growth Roadmap

Assumption: Near-term (0–6 months): Expand Lanson Live adoption via iOS App Store and web, optimize Stable Stream™ performance, and grow language support. Mid-term (6–18 months): Introduce enterprise workflows and integrations for meetings and streaming platforms; scale context-aware AI features (Trinity Engine™). Long-term (18+ months): Establish LansonAI as the standard voice context layer across enterprise communication, content creation, and accessibility—potentially through API partnerships, deeper platform integrations, and advanced AI-driven voice intelligence workflows.

Uploaded Documents

PDF

LansonAI Deep Tech Voice Infrastructure.pdf

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Digital Marketing Specialist

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$ 50,000
5%
$ 30,000
3%
Make an Offer

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