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ai-coustics Tech Stack

Real-time speech enhancement for Voice AI systems

IT Services and IT Consulting Berlin, BE 11–50 employees Founded 2021 Public Company

ai-coustics builds real-time speech enhancement for Voice AI applications, deployed on infrastructure combining Pipecat, LiveKit, Rust, and Python. The tech stack—heavy on low-latency infrastructure (WebAssembly, Rust, C++), ML ops tooling (MLflow patterns via n8n), and Kubernetes orchestration—reflects a company optimizing for millisecond-critical audio processing at scale. Active projects span distributed ML inference pipelines, synthetic data generation, and audio simulation, while documented pain points (low-latency audio quality, scaling at high ingestion volume, production deployment reliability) indicate the team is solving hard real-time systems problems.

Tech Stack 32 technologies

Core StackRust C++ Python Node.js FastAPI PostgreSQL AWS AWS RDS Docker Kubernetes GitHub Actions Terraform Helm Prometheus Grafana Linux n8n Zapier Pipecat LiveKit WebAssembly AWS EKS pytest unittest macOS Google Workspace Jamf Ubiquiti Synology NAS Bash+2 more

What ai-coustics Is Building

◆Challenges

Audio input reliability
Scaling voice ai systems
Low latency audio quality
Reliable performance at scale
Data quality limits model performance
High-volume ingestion pipelines
Scalable data pipeline
Production deployment reliability
Developer friction
Drop-off from interest to trial

▲Active Projects

Speech enhancement model development
Distributed compute pipelines for ml inference
Scalable data pipeline for raw audio ingestion
Synthetic dataset generation
Mlops tooling improvement
Audio simulation pipeline development
Customer onboarding and implementations
Evaluation protocol design
Testing, reliability & tooling
Design and implement microservices using fastapi

Hiring Activity

Steady15 roles · 6 in 30d

Department

Engineering

10

Data

4

Marketing

1

Ops

1

Seniority

Mid

9

Senior

4

Intern

2

Junior

1

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About ai-coustics

ai-coustics develops AI-powered speech enhancement solutions for Voice AI workloads, targeting teams from startup stage through enterprise scale. Founded in 2021 and based in Berlin, the 11–50 person company operates as a technical product organization: engineering dominates the hiring mix (10 roles), supported by dedicated data (4 roles) and ops functions. The stack emphasizes production-grade reliability (Kubernetes, Prometheus, Grafana, Terraform) and low-latency audio streaming (WebAssembly, FastAPI), suggesting a platform designed for real-time inference at scale rather than offline batch processing.

HeadquartersBerlin, BE

Company Size11–50 employees

Founded2021

Hiring MarketsGermany

Frequently Asked Questions

What tech stack does ai-coustics use?

Core stack: Pipecat, LiveKit, Rust, C++, Python, WebAssembly, FastAPI, PostgreSQL. Infrastructure: AWS (EKS, RDS), Kubernetes, Docker, Terraform, Helm. Observability: Prometheus, Grafana. Automation: GitHub Actions, n8n, Zapier.

What is ai-coustics working on?

Active projects include speech enhancement model development, distributed ML inference pipelines, scalable audio ingestion, synthetic dataset generation, MLops tooling, and audio simulation pipelines. Recent focus: production deployment reliability and customer implementation support.