SciForce EdTech


Bridging the Student-Teacher Gap What can we solve for you?

Edtech is here to stay and change future learning in the post-pandemic world. However, the human element is still vital in creating an interactive and engaging learning process. We provide solutions that use artificial intelligence in training to provide personalized learning tailored to all levels of education and corporate learning.

Problems we solve

Intelligent tutoring systems (ITSs)

Intelligent tutoring systems (ITSs)

Digital tutors facilitate the learning process for students either in the physical or virtual classroom or employees undergoing corporate trainings. ITS creates a learning environment tailored for a personalized curriculum that is flexible in space and time, providing timely feedback and next-step hints.

Teaching and learning aids

Teaching and learning aids

NLP-driven tools like chatbots and text analysis tools are lifesavers in the mundane job of any educator. Learning aids like automatic speech recognition (ASR) and speech analytics solutions, intelligent assistants facilitate inclusive education for people with disabilities.

Safety and security

Safety and security

Use computer vision and IoT technologies to ensure safety in the learning environment. We build face detection and recognition systems, bearing privacy in mind to limit access to educational facilities.

Teacher  support

Teacher support

The future of teaching is already here. We help educators in their day-to-day work with plagiarism detection and spell checker tools, custom online learning platforms, content recommendation systems, tools for scoring and text analysis, etc.

Workflow  automation

Workflow automation

We help educators avoid routine tasks like keeping student records, grading tests and homework assignments, and timetable scheduling with task automation solutions. We also build learning management systems (LMSs), school management software, and analytics to enable efficient remote learning.

Technology we use

Machine Learning (ML)

We apply machine learning in education to constantly track students' progress and further adjust content to their needs. ML algorithms also provide educators with feedback to define students' interests, identify pain points, detect knowledge gaps, and provide needed support. ML ensures personalized experience to tailor the learning content to the student's learning style.

Natural Language Processing (NLP)

Modern NLP techniques empower foreign language learners with speech processing techniques via analyzing the phrases learners are saying and providing immediate feedback. Also, automatic text summarization, machine translation (MT), semantic and sentiment analysis techniques come in handy for educators and students.

Predictive Analytics

Centralizing education data and analyzing it with the help of predictive modeling is crucial to identify trends in the class. What could students be at risk during the following exams? How to adjust the curriculum to those who lag behind and succeed in their studying? How to minimize drop-out rates? The modern educational system, enjoying the machine learning benefits, can quickly answer these and many other questions.

Computer Vision

Analyzing the video frames from cameras with AI algorithms, computer vision "understands" the image and can cope with essential tasks to guarantee security at the educational facility. So this is how Computer Vision systems are crucial for attendance monitoring, suspicious objects detection, facial emotion analysis, vandalism prevention systems, parking management systems, intrusion detection at educational facilities, and social distancing and mask detection.

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