Zaltech AI builds production-ready AI systems — voice agents, multi-agent pipelines, and knowledge platforms — that are integrated into existing business workflows within weeks. With 32 production use cases, sub-2-second voice responses, and 95%+ transcription accuracy, the company focuses on outcomes like 90% lead automation in real estate and 70% reduction in healthcare documentation time. Its systems are not standalone chatbots but include retrieval, verification, and integration layers that connect to tools teams already use.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses face critical operational gaps where speed and accuracy determine outcomes—such as real estate agents taking over 15 hours to respond to inquiries (the industry median) when a five-minute response increases lead qualification likelihood by 21 times. Manual workflows for documentation, lead qualification, and customer support consume staff time and cause lost opportunities, while generic chatbots fail to deliver the integration and verification needed for production environments.
Solution
Zaltech AI designs and deploys production-grade AI systems—voice agents, multi-agent pipelines, and knowledge platforms—that are mapped to specific workflows, architected to integrate with existing tools, and shipped within weeks rather than quarters. Their approach involves a low-latency ASR, LLM dialogue manager, and TTS pipeline that enables natural conversational interactions with sub-2-second voice response and 95%+ transcription accuracy. Systems include a retrieval layer, verification step, and integrations with tools teams already use, such as 100+ EHR systems via Redox for healthcare. Each workflow is built around measurable outcomes, such as scoring conversations in real time, routing hot leads with full context, or converting patient conversations into structured clinical notes ready for physician review.
Target Audience
Primary customers are mid-market and enterprise organizations in healthcare, real estate/proptech, and e-commerce/retail that need AI systems embedded into their operational workflows rather than standalone chatbots.
Features
- Voice agents built on low-latency ASR, LLM dialogue manager, and TTS pipeline achieving <2s response time and 95%+ transcription accuracy
- Real-time conversation scoring (0–100) against configurable rubrics, with automatic routing of high-scoring leads to the right agent or system
- Multi-agent pipelines that move results across stages—from call placement to lead scoring to CRM logging—without human intervention
- Integration layer supporting 100+ EHR systems via Redox, plus CRM and other business-tool connections for healthcare and real estate use cases
- Retrieval and verification layers that ground AI responses in verified data, reducing hallucination risks in production environments
- 32 documented production use cases spanning healthcare, real estate, and e-commerce, each with measurable impact metrics like 90% lead automation and 70% reduction in documentation time