Real-time context management
Builds and maintains relevant context as conversations and workflows evolve.
For investors
AI voice can talk.
AI voice can talk.
Varaie is built to get the job done.
Varaie builds AI voice agents that reliably navigate real-world conversations and execute complex, multi-step workflows. Powered by our Dynamic Language System, the technology manages context, intent, and workflow state in real time.
The problem
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, and multi-step workflows handled in real time.
−55%
The architecture
A different architecture for complex voice workflows
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.
Dynamic workflow execution
Adapts to changing intent, branching paths, and unexpected responses.
Fast-paced reliability
Designed to support more dependable execution across complex workflows.
Low-latency interaction
Enables responsive, natural voice interactions while managing increasingly complex context.
Market
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 supports multiple industries, use cases, and distribution channels — from developers and hospitals to telcos, UCC platforms, and employee benefits.
DLSDynamic Language System
Developers
Hospitals
Fast food
TRS (Deaf/HH) fund
Employee benefit
Operation agencies
Telco & ISP
UCC
Team
Proven team in enterprise AI and communications
The 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.
Samer Hijazi, PhD
CEO & Founder
Former executive at Cadence and Qualcomm. Co-founder of BabbleLabs, leading AI innovation through its acquisition by Cisco Webex.
Martha McClatchie
Co-founder, COO & CFO
Led finance and operations at BabbleLabs. Background across startups, GE Capital, and Silicon Valley organizations.
Michelle Mao, PhD
Co-founder & CTO
Led AI research and development at BabbleLabs. Background across machine learning, enterprise software, and embedded AI.
Chris Rowen, PhD
Board Member & Strategic Advisor
Founded Tensilica and BabbleLabs. Background across AI, audio, video, natural language, and enterprise technologies.
BabbleLabs backers & acquirer
Distribution
Strategic distribution through the platforms businesses already use
The opportunity extends beyond direct customer acquisition. Partnerships with telecommunications and unified communications platforms create scalable paths to distribution.
Telco + Edge AI
Varaie works with telecommunications and technology partners to bring AI calling into the networks and edge-AI ecosystems where communication already happens — unlocking large existing customer bases and broad enterprise and consumer reach.
UCC
Varaie enables UCC platforms to embed AI calling directly into the tools businesses already use. White-label and embedded integrations turn these platforms into an execution layer, creating new value across existing enterprise relationships.
Continue the conversation
You’ve seen the reliability problem. Varaie is building the architecture, technology, and distribution strategy to solve it.