Deltia Tech Stack

AI-powered shop-floor analytics via computer vision for assembly optimization

Software Development Berlin, Berlin 11–50 employees Founded 2022 Privately Held

Deltia deploys camera-based computer vision systems to capture and analyze manual assembly processes in real time. The tech stack—PyTorch, TensorRT, InternVL, Qwen-VL, MLflow, Airflow, TimescaleDB—reflects a production-grade ML pipeline built for video ingestion, model serving, and time-series analytics. Hiring velocity is decelerating while sales and ops roles remain active, suggesting a shift from engineering-led product build toward commercial scaling and repeatable go-to-market execution.

Tech Stack 35 technologies

Core StackPython HubSpot n8n Jira Asana Go C++ Java PostgreSQL AWS PyTorch Docker Kubernetes MLflow Apache Airflow Linux Terraform GitHub Actions GitLab CI/CD Jenkins MySQL TimescaleDB SQL Sales Navigator Lemlist Aircall TensorRT InternVL Qwen-VL Bash+4 more

What Deltia Is Building

◆Challenges

Efficiency challenges
Safety concerns
Labor shortages
Rising costs
Translating manufacturing data into actionable insights
Limited visibility into production processes
Quality issues
Delivering fast data activation
Tracking lead times and blockers
Meeting slas

▲Active Projects

Scaling go-to-market playbook
Develop dashboards for process efficiency
Dataset maintenance
Building high-performance commercial organisation
Building repeatable enterprise sales process
Strategic deals to unlock lighthouse accounts
Ai-powered computer vision deployments
Expanding european customer base
Identify anomalies in production data
Installation and onboarding

Hiring Activity

Decelerating15 roles · 4 in 30d

Department

Engineering

Ops

Sales

Data

Finance

Product

Seniority

Senior

Mid

Intern

Junior

Lead

Manager

Notable leadership hires: Field Team Lead

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About Deltia

Deltia is an AI-powered process analytics platform for manufacturing, founded in 2022 and based in Berlin. The product captures assembly and packaging work via installed cameras, automatically detects work steps and cycle times using computer vision, and surfaces efficiency gaps and quality issues to factory managers and process engineers. The platform aggregates per-article performance data and includes video-based root-cause analysis. Customers are small-to-mid-market manufacturing operations across Europe seeking to increase productivity and quality without altering labor or equipment.

HeadquartersBerlin, Berlin

Company Size11–50 employees

Founded2022

Hiring MarketsGermany

Frequently Asked Questions

What computer vision models does Deltia use?

Deltia relies on InternVL and Qwen-VL for visual understanding, PyTorch for training and inference, and TensorRT for optimized model serving on shop-floor hardware.

What is Deltia working on right now?

Deltia is scaling sales execution (repeatable enterprise process, lighthouse accounts, European expansion) and developing internal analytics (dashboards for process efficiency, anomaly detection in production data).