Machine Learning information extraction from semi-structured documents (e.g. invoices)51-200 Employees
- Early StageStartup in initial stages
BLP Digital careers
We are BLP.
BLP is a fast growing tech start-up in the field of machine learning based automation. We are an ETH spin-off company transferring top-notch research into industry leading products. Our price-winning software frees companies from spending time on repetitive administration tasks. Currently we are looking for exceptional software engineers who are driven to design and implement sophisticated large-scale data management platforms.
Top-notch tech stack. Award winning software.
Machine learning based automation of information extraction from business relevant documents is a fast-growing market. Many administrative processes in companies still begin with manually copy-pasting information from documents into computer systems.
At BLP we’ve developed a highly scalable automation solution to solve this problem, extracting the correct information from such documents and comparing it on the fly with the companies’ ERP data. We focus on fully automating entire processes, enabling companies to be 20x more efficient in their administration.
**We love our beautiful stack:**
Kubernetes: prometheus / keda / helm / kustomize / docker
Python: Tensorflow / Pytest / flake8 / pylint / mypy / keras / mlflow
Restful API: GOLANG, MariaDB, Swagger
Microservices: Redis, Rabbitmq
CI/ CD guidelines
Webapp: React / Typescript
Grafana
GCP
BLP is a fast growing tech start-up in the field of machine learning based automation. We are an ETH spin-off company transferring top-notch research into industry leading products. Our price-winning software frees companies from spending time on repetitive administration tasks. Currently we are looking for exceptional software engineers who are driven to design and implement sophisticated large-scale data management platforms.
Top-notch tech stack. Award winning software.
Machine learning based automation of information extraction from business relevant documents is a fast-growing market. Many administrative processes in companies still begin with manually copy-pasting information from documents into computer systems.
At BLP we’ve developed a highly scalable automation solution to solve this problem, extracting the correct information from such documents and comparing it on the fly with the companies’ ERP data. We focus on fully automating entire processes, enabling companies to be 20x more efficient in their administration.
**We love our beautiful stack:**
Kubernetes: prometheus / keda / helm / kustomize / docker
Python: Tensorflow / Pytest / flake8 / pylint / mypy / keras / mlflow
Restful API: GOLANG, MariaDB, Swagger
Microservices: Redis, Rabbitmq
CI/ CD guidelines
Webapp: React / Typescript
Grafana
GCP
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Sven Beck
Tim Beck
Leading a scale-up to become the number 1 SaaS plattform for document extraction for ERP relevant documents.
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