AI voice can talk. AZcare is built to get the job done.
AZcare is building AI voice agents designed to reliably navigate real-world conversations and execute complex, multi-step workflows.
Powered by our Dynamic Language System (DLS), AZcare's technology dynamically manages context, intent, and workflow state in real time.
AZcare Vision
The Gap Between Conversation and Completion
Most voice AI is trained on text and deployed on speech. That mismatch has a price: traditional voice agents complete 85% of tasks on clean text input and just 30%on real, artifacted audio. The failure isn't language understanding. It's speech.
Voice AI performs well when conversations follow a script. Real ones don't. AZcall is built for what actually happens on a live call: changing context, unexpected responses, multi-step workflows that are handled in real time
A different architecture for complex voice workflows.
AZcare's Dynamic Language System (DLS) is designed to manage the complexity that emerges when AI has to navigate a real conversation and complete a real task.
Rather than relying on a fixed sequence of prompts or a single model to manage every step, DLS dynamically coordinates the capabilities and context required throughout the workflow.
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Maintains relevant context as conversations evolve.
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Adapts to changing intent, branching paths, and unexpected responses.
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Designed to support more dependable execution across complex workflows.
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Enables responsive, natural voice interactions while managing increasingly complex context.
One technology. Multiple high-value markets.
AI needs to reliably execute real-world workflows wherever communication, coordination, and action still depend on the phone.
DLS provides an architecture that can support multiple industries, use cases, and distribution channels.
Proven team in enterprise AI and communications
The AZcare team previously built BabbleLabs, an AI communications company backed by Dell Technologies and Intel Capital, delivering over 10x ROI and acquired by Cisco in 2020.
With over 50 years of combined experience in machine learning, voice, and enterprise AI platforms, the team is focused on executing real-world workflows across the systems businesses rely on.
Samer Hijazi PhD
CEO and Founder
Former executive at Cadence and Qualcomm. Co-founder of BabbleLabs, leading AI innovation through its acquisition by Cisco Webex.
Martha McClatchie
CFO and Co-Founder
Led finance and operations at BabbleLabs. Background across startups, GE Capital, and Silicon Valley organizations.
Michelle Mao
CTO and Co-Founder
Led AI research and development at BabbleLabs. Background across machine learning, enterprise software, and embedded AI.
Chris Rowen PhD
Board Member and Strategic Advisor
Founded Tensilica and BabbleLabs. Background across AI, audio, video, natural language, and enterprise technologies.
Strategic distribution through the platforms businesses already use.
AZcare's opportunity extends beyond direct customer acquisition. Strategic partnerships with telecommunications and unified communications platforms can create scalable paths to distribution.
Telco + Edge AI
AZcare is built to work with telecommunications and technology partners to bring AI calling into the networks and edge-AI ecosystems where communication already happens. These partnerships unlock large existing customer bases, scalable distribution, and broad enterprise and consumer reach through established network infrastructure.
UCC
AZcare can enable UCC platforms to embed AI calling directly into the communication tools businesses already use. White-label and embedded integrations turn these platforms into an execution layer, allowing AI to handle phone-based workflows while expanding functionality and creating new value across existing enterprise relationships.
Continue the conversation.
You've seen the reliability problem. AZcare is building the architecture, technology, and distribution strategy to solve it.