[ Engineering & System Architecture ]
We build software where latency and memory behavior decide whether the product works. That runs from real-time voice conversion under 150 ms to cross-platform applications on a shared C++ and Rust core, VR for standalone headsets, and cloud, healthcare, and fintech systems.
[ Primary Specialization ]
Most voice processing adds delay by turning speech into text and back. We work directly on the audio stream in 20 ms blocks, with no text layer in between. The small real-time model runs the full pipeline under 150 ms on a local machine. A second, larger model adapts to the speaker's own voice and keeps tone and emotion, for the cases where quality matters more than latency.
Audio stays as audio. The models run on neural codecs in 20 ms blocks, streamed over UDP, TCP, or WebRTC, so there is no transcription step to add delay.
On Windows the converted voice shows up as a normal microphone, so it works in Zoom, Teams, Google Meet, Discord, and Avaya or Genesys with no per-app integration.
The adaptive model holds the speaker's tone and emotional dynamics instead of flattening them, learned at the encoder and decoder rather than bolted on afterward.
Inference runs on ONNX Runtime with DirectML. It is fastest on a recent CPU (Intel 11th gen or newer) and scales onto discrete GPUs, where NVIDIA performs best.
[ Two model tiers ]
Virtual camera driver with A/V sync. A companion video driver that delays and aligns the camera feed to the converted voice, so lip movement and audio stay in step across calls.
[ Core Services ]
Enterprise Mobile & Desktop
Apps that keep the heavy compute in C++ or Rust and stay responsive on top. One shared core, native builds for each target.
Immersive B2B Simulation
VR for training and simulation, tuned for standalone headsets where CPU, memory, and battery are all tight.
Audits · Infrastructure · Telemetry
Reviews of existing codebases, CI/CD across every target platform, and crash and telemetry pipelines that show what actually breaks in production.
[ Architectural Pattern ]
A deterministic, memory-safe path from capture to the call, with normalization and voice preservation inside the same buffer chain.
[ Additional Domains ]
Separate from the audio stack, this is the kind of product work we take on end to end for other industries.
AI & Cloud Integration
Connecting models and data pipelines into existing cloud infrastructure and services.
IoT & Connected Devices
Device-facing apps and communication layers for connected hardware.
Healthcare Software
Applications built around clinical workflows and strict data-handling rules.
Fintech Applications
Transactional software where correctness and a clear audit trail come first.
VPN & Secure Networking
Low-level networking clients and secure tunneling on desktop and mobile.
And Adjacent Domains
Scoped case by case wherever performance or platform reach is the real constraint.
[ Technology & Methodology ]
Low-Level & AI Engine
Cross-Platform & Native
Backend & Cloud
Infrastructure & Reliability
Architecture-First Approach
Strict technical specifications, benchmark targets, and threat modeling prior to code execution.
Automated CI/CD Matrices
Continuous integration across macOS, Windows, iOS, and Android runners to guarantee build determinism.
Crash Analytics & Diagnostics
Real-time production memory profiling and native exception handling.
[ Contact ]
We are a small team, so you will be talking to the engineers who do the work. Tell us what you are building and where it is slow, and we will take it from there.