The
Deployment Layer
for Voice AI
Production-ready voice AI infrastructure for defense and enterprise.
Deploy securely at scale with battle-tested reliability.
Production-Ready, Battle-Tested
Defense agencies and enterprise leaders rely on Meaning to deploy voice AI systems that handle millions of interactions under the most demanding conditions.
Real-Time Voice Privacy & Conversion
Tier-1 Government Agency
Deployed privacy-protecting voice conversion technology, enabling access to previously unavailable defense capabilities with multi-language support.
- Zero-trust architecture for classified environments
- Real-time processing with sub-250ms latency
- Multi-language voice model deployment and evaluation
Voice AI Security & Compliance Testing
Government Agency Deployment
Built a comprehensive security assessment framework enabling CISOs to verify voice AI resilience and compliance before deployment in mission-critical systems.
- Adversarial attack detection and mitigation
- Real-time threat response capabilities
- Full compliance verification for IC customers
Real-Time Accent Softening at Scale
Quick Service Restaurant Chain
Deployed voice clarity solution across offshore call centers processing millions of customer interactions with seamless infrastructure integration.
- 23% reduction in Average Handling Time
- 25% increase in Customer Satisfaction scores
- 4M+ minutes processed monthly across 4 continents
Voice AI Evaluation Platform
IARPA ARTS Research Partnership
Partnered with leading academic researchers to develop a standardized evaluation framework for generative voice AI systems deployed across the US Intelligence Community.
- Platform deployed with multiple IC customers
- Standardized quality and stability benchmarking
- Objective performance assessment framework
The Deployment Gap
Voice AI models are everywhere, but transitioning from proof-of-concept to secure, scalable operations remains the most significant challenge for defense and enterprise organizations.
WHAT to Deploy
Thousands of voice AI models exist. Identifying and evaluating which ones meet your security, performance, and compliance requirements demands specialized expertise.
- Model proliferation with inconsistent performance across use cases and deployment environments
- No standardized evaluation frameworks for security resilience, quality benchmarking, or regulatory compliance
- Off-the-shelf models requiring extensive customization and validation
HOW to Deploy & Operate
Production deployment requires enterprise-grade infrastructure, security frameworks, and operational capabilities purpose-built for voice AI.
- Security compliance frameworks, including FedRAMP, SOC 2, HIPAA, with continuous audit readiness and certification
- Air-gapped installations with zero-trust architecture and integration with existing systems and workflows
- Operational monitoring with real-time performance analytics, system observability, and seamless model upgrades
Production-Grade Infrastructure
Meaning provides the complete deployment stack for voice AI systems. We handle security, compliance, orchestration, and operations so you can deploy faster and scale with confidence.
Security & Compliance
Defense-grade security architecture built for the most stringent regulatory environments. Deploy with confidence knowing your infrastructure meets government and enterprise compliance requirements.
Deployment Orchestration
Flexible deployment options supporting cloud, on-premises, hybrid, and air-gapped environments. Consistent deployment experience regardless of infrastructure constraints or geographic requirements.
Operations & Monitoring
Comprehensive observability platform providing real-time visibility into system performance, usage patterns, and operational health. Proactive monitoring ensures reliability and rapid incident response.
Built by Experts
Our team brings deep expertise from defense systems, enterprise security, and production AI deployment — building infrastructure for the world's most demanding organizations.
Yishay Carmiel
Chief Executive Officer
Former founder of IntelligentWire and S-Infinity, with two successful AI startup exits. Over 15 years of experience in ASR and conversational AI. Named Speech Luminary of the Year by SpeechTek.
Najim Dehak
Scientific Lead
Expert in ASR and co-developer of the influential I-vector technique. Leads research in speech and machine learning as a professor at Johns Hopkins University and former MIT CSAIL researcher.
Łukasz Wójciak
VP Engineering
Over 21 years of experience in software development, including more than a decade in real-time audio processing. He has led multiple teams and projects at companies like Avaya and Spoken, with a strong focus on telco and low-latency systems.
Roy Zanbel
VP Product & Operations
Product leader with extensive experience in cloud infrastructure, AI systems, and web3 technologies. Track record of bringing cutting-edge solutions to market at top tech companies like Elastic and JFrog.
Jan Vainer
Research Lead
Expert in audio and speech technologies, combining cutting-edge research with practical development. He has many years of experience in TTS, ASR, voice cloning, and voice privacy.
Vojtěch Srdečný
MLOps Engineer
Jack of all trades who specializes in doing the dirty research and infrastructure jobs nobody else wants to bother with.
Tomáš Nekvinda
ML Engineer
Curious bug-squasher with hands-on experience in speech-to-speech, TTS, ASR, and dialogue systems. Usually building something streamable or fixing datasets.
Marzena Żyła
Lead Annotator
Linguist and editor with over a decade of experience in e-learning platforms, publishing, and data annotation for spoken language systems. Currently also delving into the intricacies of voice assessment.
Maciej Czarkowski
Fullstack Dev
Making sure all the moving parts actually move together. I use whatever gets the job done — scripts, configs, divine intervention, or just turning it off and on again.
Join Our Mission
Help build the infrastructure that powers the future of voice AI deployment.
Junior ML Engineer
(Speech-Focused)
Help us build and scale the pipelines behind our speech models — from data to deployment.
UI/UX Designer & Frontend Developer
As a UI/UX Designer & Frontend Developer, you’ll take the lead on everything visual — building slick user interfaces in React, designing beautiful websites, and crafting the graphic materials that bring our ideas to life.
No perfect match?
Don’t worry — we’d still love to hear from you! If none of the listed roles feel like the right fit, reach out anyway. We’re always open to exploring new forms of collaboration and finding ways to work with great people.
Insights & Analysis
Deep technical insights on voice AI deployment, production infrastructure, and operational excellence from real-world experience deploying at scale.
The Anatomy of Voice Production
Marzena Żyła
In recent years, voice cloning and AI-generated speech have become increasingly sophisticated, mimicking nuances of the human voice such as timbre and emotion, and supporting a growing number of languages and accents. The situation has raised many security and privacy concerns. Still, as powerful as those systems are, they're not infallible,
Adversarial Threats in Speech AI
Yishay Carmiel
As voice becomes a primary interface for interacting with machines, adversarial threats against speech AI systems are growing rapidly and quietly. From spoofing speaker identity to injecting imperceptible noise that breaks transcription, the attack surface is broad and evolving. In this post, we’ll outline the core types of speech models, how
New Threat Vector: Prompt Injection at the Raw Signal Level
Voice interfaces have become a routine feature of modern life, from home assistants to automotive controls and automated customer service. Yet, within the AI community, the focus on large language and visual models has overshadowed the field of voice. In my experience, for every AI team experimenting with voice or audio models, there are dozens
The New (AI) Battlefield
Roy Zanbel
At the height of the war in Ukraine, frontline brigades were field-testing home-built drones that cost as little as $350, upgrading the designs every few weeks to out-maneuver Russian counter-measures. In June 2025, these drones were used in a Ukrainian drone strike that severely damaged a key Russian airbase, knocking out 10%, according to a
Beyond ChatGPT: The Other AI Risk You Haven't Considered
Voice technology has raced ahead in the past year, bringing unprecedented convenience. But this rapid progress also unveils a new frontier of risk, as once-narrow synthesis models yield to systems that put voice at the center of human-machine interaction. Advances such as Sesame’s CSM architecture, F5-TTS’s ultra‑fast cloning and emerging
Anatomy of Deepfake Voice Attacks
Roy Zanbel
AI-generated voices have crossed a critical threshold. What once sounded robotic and gimmicky now passes as human, with emotion, nuance, and intent. The rapid evolution of AI voice synthesis has opened the door to remarkable innovation. But it has also created a new class of security vulnerabilities. In this post, we explore how advances in voice
Rapid Evolution of AI Voices
Roy Zanbel
Not long ago, synthetic voices were easy to detect — flat, robotic, and unnatural. Today, AI-generated speech is nearly indistinguishable from human voices, capturing nuances like tone, emotion, and speaking style with remarkable precision. This leap in realism is driven by advances in deep learning and generative models that solve three major
Ready to Deploy?
Schedule time with our engineering team. We'll assess your deployment requirements, security constraints, and operational needs to design a production-ready infrastructure strategy.
