Docket
Autonomous AI that engages website visitors with real-time, human-like conversations, converting 15% more traffic into pipeline for marketing; while also increasing seller productivity by enabling sales and pre-sales teams to instantly find answers, retrieve files, and resolve queries.
Docket is the leading agentic AI platform that improves pipeline generation and seller efficiency for marketing and sales teams. Docket unifies, cleans, and learns from your organization’s GTM data with its proprietary Sales Knowledge Lake™, and activates this with powerful, pre-built AI agents.
Docket’s Marketing Agent engages website visitors through human-like conversations, responds to their nuanced questions about your solution with expert-grade answers, performs discovery by asking qualifying questions, and converts them into leads, pipeline, and customers.
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LALAL.AI
LALAL.AI is a next-generation audio separation service powered by advanced AI technology. With a suite of innovative tools - Stem Splitter, Voice Cleaner, Voice Changer, Voice Cloner, LALAL.AI enables users to take their audio content to the next level.
Stem Splitter
The core service of LALAL.AI, Stem Splitter allows users to extract individual vocals or instruments from audio tracks. Supported instruments include: drums, bass, piano, guitar (electric and acoustic), synthesizer, and string and wind instruments
Voice Cleaner
A powerful tool for extracting clean, clear vocals from audio and video
Voice Changer
Tap into the power of AI to mimic the singing styles of famous stars
Voice Cloner
Create custom voices
Echo & Reverb Remover
Remove unwanted echo and reverb from vocals, voice recordings, songs, and videos, all in popular audio and video formats
Lead & Back Vocal Splitter
Use state-of-the-art AI technology to precisely separate lead and backing vocal
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TruGen AI
TruGen AI transforms conversational agents into fully immersive, human-like video agents that can see, hear, respond, and act in real time, offering hyper-realistic avatars with expressive faces, eye contact, and natural body/face animations. These agents are powered by two core models: a video-avatar model that generates real-time, high-fidelity facial animation, and a vision model that enables context- and emotion-aware interaction (e.g., face recognition, action detection). Through a developer-first, API-based platform, you can embed these video agents into websites or apps in just a few lines of code. Once deployed, agents respond with sub-second latency, carry conversational memory, integrate with a knowledge base, and can call custom APIs or tools, allowing them to deliver context-aware, brand-consistent responses or execute actions rather than just chat.
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