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Title
omni:us: A cloud AI pipeline brings order to insurance claim processing
…ganized with collections Save and categorize content based on your preferences. omni:us: A cloud AI pipeline brings order to insurance claim processing About omni:us omni:us has developed and deployed a cloud-assisted AI pipeline t…
Description
omni:us, a Berlin-based firm spun out of parent company Qidenus Technologies, built a hybrid on-premises and cloud AI pipeline that sorts insurance claims paperwork and automates processing for European insurers. The system captures data on-premises and processes it using cloud AI, combining convolutional neural networks, NLP, optical character recognition and handwritten text recognition to convert unstructured claims documents into structured data, aiming to help insurers settle claims within minutes instead of weeks. For a handwritten car claims case, the model achieved a handwritten character error rate of 7.25%. The company uses Google Kubernetes Engine and Container Registry for its European clients and supports on-premises deployment for insurance customers.
…bha, VP of Engineering and Data Science, omni:us Buckets reduce deployment time omni:us has a hybrid platform: it captures data on-premises and processes it using cloud AI. To create its multi-layer, large scale neural networks, the omni:us data scienc…
Company
omni:us
…rences. omni:us: A cloud AI pipeline brings order to insurance claim processing About omni:us omni:us has developed and deployed a cloud-assisted AI pipeline that sorts insu…
Country
Germany
…to deliver value to insurance policy providers and ultimately, policy holders. Industries: Financial Services & Insurance Location: Germany Products: Google Cloud , Compute Engine , Container Registry , Kubernetes Engin…
Industry
Insurance
…to deliver value to insurance policy providers and ultimately, policy holders. Industries: Financial Services & Insurance Location: Germany Products: Google Cloud , Compute Engine , Container Registry…
Problem
For providers, auto insurance claims processing is a labor-intensive and time-consuming process. Each claim unleashes a flood of paperwork, and it falls to insurance underwriters to gather, validate, and process vehicle registration details, police reports, accident forms, photos, repair estimates, invoices, and other documents from various sources and in a variety of formats. "This year alone insurance companies will spend about US$250 billion to just handle claims, not settle them," says omni:us co-founder and CEO Sofie Quidenus-Wahlforss.
…and in a variety of formats. It is also a significant opportunity for omni:us. "This year alone insurance companies will spend about US$250 billion to just handle claims, not settle them," says omni:us co-founder and CEO of Sofie Quidenus-Wahlforss. Competition in auto insurance is fierce. Surveys credibly suggest that claims s…
Solution
omni:us is integrating a hybrid back office of on-premises and cloud-based visual neural networks, natural language processing (NLP), optical character, and handwritten text recognition with the goal of gaining control over and intelligence from a vast amount of unstructured information. omni:us aligns forms into global templates using computer vision processing, including Convolutional Neural Networks (CNNs), and validates results with insurance claims professionals for settlement or further investigation, including fraud checking.
…e of the documents. Depending on the data source — whether digital or scanned — omni:us aligns forms into global templates using computer vision processing, including Convolutional Neural Networks (CNNs). Modeled after the mammalian visual cortex, CNNs consist of a set of filters th…
Technology
Google Kubernetes Engine, Container Registry, Cloud Storage, Cloud Load Balancing, Cloud GPUs, Cloud IAM, TensorFlow, PyTorch
…y, policy holders. Industries: Financial Services & Insurance Location: Germany Products: Google Cloud , Compute Engine , Container Registry , Kubernetes Engine , Cloud Storage , Cloud Load Balancing , Cloud GPUs , Cloud IAM , TensorFlow Tell us your challenge. We're here to help. Contact us A German firm is well on…
AI capabilities
Document Intelligence, Computer Vision, Natural Language Processing
…e of the documents. Depending on the data source — whether digital or scanned — omni:us aligns forms into global templates using computer vision processing, including Convolutional Neural Networks (CNNs). Modeled after the mammalian visual cortex, CNNs consist of a set of filters th…
Deployment options
cloud, On-premise, hybrid
…bha, VP of Engineering and Data Science, omni:us Buckets reduce deployment time omni:us has a hybrid platform: it captures data on-premises and processes it using cloud AI. To create its multi-layer, large scale neural networks, the omni:us data scienc…
Deployment model
Hybrid cloud
…, Cloud IAM , TensorFlow Tell us your challenge. We're here to help. Contact us A German firm is well on its way to sorting the insurance claims labyrinth with a hybrid on-premises and cloud AI solution. Google Cloud results Classifies unstructured data using cloud-assisted neural n…
Business value
omni:us reduced AI pipeline deployment time from 2 days to 4 hours. For one handwritten claims case for a car, the model achieved a handwritten character error rate of 7.25 percent. The company seeks to help insurers settle claims within minutes instead of weeks by cutting in half the amount of time it takes to process claims, and is operating in six European companies and the United States, conducting pilot projects with nearly 30 clients.
…ools have helped the team realize impressive gains in engineering productivity, reducing the time it takes to deploy an AI pipeline from two days to four hours. omni:us relies on Compute Engine to run its training and other operational ser…
