Understand Consumers & Users.
Measure Customer Centricity.
Personalise Your Offering.

Insaas enables multi-channel feedback for brands, products and services available in one solution.

Understand consumers

Automate the processing of unstructured text with AI!

Measure customer centricity

Transform feedback into measurable insights!

Personalise your offering

Individualize products and communication with those insights!

Why companies choose Insaas

Customer centricity has been a major trend for the industry for years.

Despite existing infrastructure, the analysis and evaluation of feedback is complex because:

  • Feedback is unstructured.
  • The amount of different sources.
  • There is no process for analysis.

The requirements for Customer Centricity are almost identical for every industry.

Insaas solves these challenges for companies by automatically analyzing unstructured text to predict trends and helps to identify correlations.

01

Customer Centricity for Insurance

Our solution: Customer Voice Analytics
WHO: specialist department.
WHY: identify new topics, define niches and adapt communication to the customer's language.
BENEFIT: we offer the “Customer Centricity Graph” to measure Customer Centricity for insurance.
02

Customer Relationship Monitoring for Service Providers

Our solution: Process Automation
WHO: marketing and service departments.
WHY: measuring quality of service and communication.
BENEFIT: unstructured texts and CRM data are processed automatically.
03

Customer Expectation Prediction for B2B & Manufacturers

Our solution: Quality Analysis for Brands
WHO: marketing.
WHY: comprehensive overview of competitor products and brands.
BENEFIT: automatically summarize customer opinions from internal and external sources and filter by sentiment.

A simple, clear dashboard

Use our customized dashboards or our API to analyse the insights.

How our approach works

Three steps to better understand customers and consumers

You can easily analyze customer testimonials and unstructured text with Insaas. All you need to do is define the data sources.

1st step: Data Consolidation

In the first step, you define the desired data sources that are collected by us (crawling, API, data lake), regardless of their form, quantity and quality.

2nd step: Data Processing

Once the data is available, we will clean it up and transfer it to training sets. This is the basis to determine sentiment and aspects automatically.

3rd step: Dashboard or API

The results include entities, aspects and sentiment. Use our dashboard or an API to process and consume the results.

Our Technology & IP

How we analyse unstructured data

We combine artificial intelligence, validated rules and industry specific dictionaries to automatically process unstructured text.

Natural Language Processing

With our SaaS solution, we predict the appropriate aspects and sentiments from unstructured text and link them to entities. We use machine learning algorithms and work with BERT and statistical models.

Validated rules

To analyze unstructured text for languages (like German and English), we add rules to improve the results. We develop these rules and adapt them to the respective language, for example lemmatization.

Specific Dictionaries

In order to clearly define aspects and sentiments in all cases, we create our own dictionaries from customer testimonials, for each language and industry. We adapt our approach individually for each customer. The quality of the results will improve over time.

Our customers & partners

What customers think about Insaas

The analysis of Insaas was a great help for us. We already use various tools to analyse the online feedback for our products, but that takes too long and is costly.
Felix Bäuerle, Beiersdorf
With the help of Insaas, we were able to analyze the emotions and potential for improvement in customer feedback in even greater detail and use them directly to optimize our product.
Christoph Commes, Bits & Pretzels
For us, the automated analysis of feedback from various channels is very important in order to improve our offer. This enables us to respond better and faster to our customers and help them when needed
Dr. Michael Greiner, BSH

What partners think about Insaas

The services provided by Insaas complement our service portfolio in an ideal way. Their analyses help to efficiently derive concrete improvement approaches for our clients from a multitude of free-form customer opinions. Thus, they are a valuable basis for our consulting work.
Dr. Thomas K. Hamann, T. K. Hamann
DataValueThinking is a framework that supports companies in generating added value from their data. With its innovative evaluation approach based on artificial intelligence, Insaas is a perfect example of how data and information can be evaluated and measured. Thus, data and its evaluation contribute to increasing customer satisfaction and thus the value of the company.
Thomas Balgheim, Data Value Thinking
With the technology from Insaas, we can increase the accuracy of our communication measures. The direct evaluation of the target group's voices embedded in the user interface of Insaas serves us as a navigation system for the development of actions.
Christian Schnepf, GrandU
“We strongly believe it is time for AI to show its value based on harvesting new, unstructured data sources for dedicated industries. The automated processing of language has now the capabilities to deliver new insights and leading to data driven decision making. Our personal motivation is to prove this new capability with Insaas.

Since my linguistic studies, I have been working with software to process language. My early experiences at Harvard University (2009) showed me the disruptive potential of Natural Language Processing (NLP). I have extensively worked on Search Engine Optimisation and Big Data challenges (DMP). Therefore I’m very familiar with the opportunities software based language processing and AI can bring to companies.

Our aim is to develop a SaaS platform to deliver valuable insights. Energized by the successful pilots we are committed to show our clients the value of our work.”

Dr. Korbinian Spann
Founder and CEO

About us

The team around Insaas

We are a professional and dedicated team from Germany and India.

Korbinian Spann

Founder and CEO
Korbinian is a proven and well-known expert for languages, digital marketing and data science. As a consultant he created concepts and strategies for many years and supported clients as a project manager to successfully implement digital projects.

He came up with the idea of Insaas already 2016 and build a first POC that was successfully implemented. After working for many years as a manager in digital marketing and eCommerce for both the business-to-business and business-to-consumer sector,, he decided in April 2018 to work independently and start to realise the idea of Insaas. In March 2019, he founded Insaas with two experts in Munich.

Karan Singh

Founder and Advisor
Karan is a Digital-age Tech Entrepreneur. During his 24 years of experience, he has worked with global companies like IBM, Accenture and L&T Infotech in Europe.

Karan has solid experience and a successful track record of setting-up Technology Competence Centres and Digital age Solutions for Data monetization and new age business models. He has conceptualized and incubated enterprise level AI based applications.

Sebastian Daue

Strategic Account Director
Sebastian is a passionate sales. He has gained sales experience in many different positions at companies like Adidas, W.L. Gore & Associates GmbH and Mammut Sports Group. His focus has always been on eCommerce.
His know-how includes the implementation and presentation of marketing concepts as well as the creation of sales concepts. At Insaas he is responsible for the development of the customer portfolio. He is your contact person if you are interested in our product.

Rahul Deshpande

Head of Development
Rahul is a technology evangelist with 20 years of experience in innovation and product Development. He worked with 4 different startups as a technology expert and CTO so far. He is experienced B2B & B2C operations and developed B2C portals. Furthermore he published whitepapers on Social and big data impact on production innovation topics. As a CTO of Insaas, he is in charge of operations and manages our enterprise level ML based application.

Sowmya Prakash

NLP Engineer
Sowmya is a data science professional with prior experience in software development. Currently, pursuing Masters in Data and Knowledge Engineering at OVGU, Magdeburg. Sowmya is specialized in handling business scenarios where application of machine learning and natural language processing techniques was required. She has past experience of working at Accenture India and Daiichi Sankyo Europe Gmbh.
Her main focus at Insaas is to handle NLP Pipelines as well development and optimisation of algorithms.

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