VoiceLab.AI provides a conversational intelligence platform that utilizes automatic speech recognition and natural language processing to analyze customer interactions across various channels, enhancing sales performance and user experience. The platform also incorporates cognitive automation to reduce customer service costs by streamlining repetitive tasks through AI-driven voice bots.
Funding
$2.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Companies struggle to extract actionable insights from large volumes of voice, email, and chatbot interactions, leading to missed sales opportunities, inconsistent customer service quality, and inefficient agent training.
Solution
VoiceLab provides a Conversational Intelligence platform that automatically transcribes, categorizes, and analyzes all customer communications in real time. The system applies large‑language‑model (LLM) techniques, including the proprietary TRURL model, to aggregate dialog structures, assess call quality, detect objections, and generate sales and support intelligence. Results are delivered through an intuitive dashboard with tagging, scoring, and visualization tools, enabling managers to monitor agent performance, forecast sales, and improve UX. The platform can be deployed in the cloud or on‑premise, allowing secure processing of proprietary data and custom fine‑tuning on a client’s own datasets. Integrated APIs also support speech‑to‑text, subtitle generation, and media monitoring for broader content workflows.
Target Audience
Primary customers are mid‑to‑large enterprises operating sales or customer‑service teams that need data‑driven insight into voice interactions, including contact‑center operators, e‑commerce platforms, and B2B service providers.
Features
- Automatic speech‑to‑text transcription for phone, email, and chatbot channels
- AI‑driven dialog structure aggregation and objection detection using the TRURL LLM
- Real‑time quality scoring, sentiment analysis, and sales forecasting dashboards
- Advanced search, tagging, and categorization with custom tag clouds and hierarchical categories
- On‑premise deployment option with secure fine‑tuning on client‑specific data
- API access for integration with CRM, call‑center, and knowledge‑base systems
- Additional tools such as Wordlify, Subtitles, Dictate, and Media Monitoring for related content processing