OUR SOLUTION

Customer calls and other audio data of enterprises contain lots of valuable insight that can unlock significant business opportunities.

Inscripta AI-powered speech recognition API is a technology, which enables enterprises to capture these insights on an enterprise level.

The technology is proprietary and language-agnostic. The language model improves itself automatically based on corrections and annotations.

Why Inscripta?
  • Most accurate speech-recognition API in the market

  • Infinitely scalable

  • Available as a cloud service or as an on-premise solution

  • Most cost-efficient speech recognition API in the market

Example use case

PROPRIETARY SPEECH RECOGNITION

Based on the latest neural network based speech recognition research, our proprietary technology has surpassed its competitors in accuracy and cost-efficiency.

  • Unlimited vocabulary; no modifications are needed for recognizing new words such as product names

  • Models optimized for narrow-band speech available

  • Language model optimization and domain adaptation available on request

INS Dictation Application

SPEECH RECOGNITION API USE CASES

Companies such as telecom operators, insurance companies, banks, media houses and utilities can benefit from transcribing phone calls and recorded content into many opportunities, including:

  • Detecting sales potential by finding out topics of discussion which you have no solution for

  • Detecting churn factors when analyzing customer complaints of churned customers

  • Detecting the sentiment of your customers after a competitor’s product launch

  • Finding reasons for repetitive calls to improve information available on self-service channels

  • Improving the quality of customer dialogue by measuring how well your customer representatives meet the needs of your customers

INS Dictation Application

THE TEAM.

SIMO SORSAKIVI
SIMO SORSAKIVIChief Executive Officer
Background in Cognitive Science and Healthcare Informatics for the past eight years. My vision is to transform the information processes of the healthcare industry by utilising the latest technologies such as mobile solutions and neural networks.
JONI AALTONEN
JONI AALTONENChief Technology Officer
Experienced senior full-stack developer with over a decade of experience in designing, developing and maintaining global web applications. Keen eye for design and usability, passionate about software that increases productivity and functionality.
PETER SMIT
PETER SMITChief Scientific Officer
Machine learning and speech recognition expert. Since he has finished his Master’s in Machine Learning and Data Mining he has been focused on his PhD work of creating the best possible speech recognition systems. With success; his team won the Multi-genre broadcast challenge 2017, beating other competitors such as MIT and John Hopkins university.
JONI MARTIKAINEN
JONI MARTIKAINENChief Operating Officer
Entrepreneurial and people-oriented multi-industry professional with 10+ years of experience from product management, R&D, pre-sales, consulting services, and international business development with focus on data-driven products, services, and organisations.
HENRIK PURASKIVI
HENRIK PURASKIVIService Manager
With more than a decade of experience working hands on with Healthcare Informatics Henrik has extensive understanding of Electronic Healthcare Record Systems and documentation processes both in the public and the private sector.

COMPANY

Inscripta is a speech-to-text company whose mission is to replace old-fashioned transcription practices. For healthcare companies this means faster dictation, smarter, more accurate and language-agnostic speech recognition – and significant cost savings. For enterprises Inscripta provides an AI-powered solution that brings the cure to the accuracy, language adaptability and security challenge of a typical speech recognition solution. By deploying Inscripta, enterprises unlock the value in their audio data captured from customer care conversations for example.

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