01

Edge Analytics System

Capabilities

  • CUSTOMIZED FORM FACTOR

    Customized form measures

  • LOW POWER CONSUMPTION

    Power consumption from 10W to a maximum of 15W.

  • EXTENSIVE DETECTION CAPABILITIES

    AI based ANPR, Attributes Classification, Facial Recognition.

  • USER FRIENDLY

    Designed from the ground up for easy use by both novices and experts

  • HIGH ACCURACY

    Mean Average Precision (mAP) of 84.21% for Vehicle Detection, 96.86% for Car Plate Detection, 91.67% for Character Recognition.

02

Face Recognition Engine

Capabilities

  • FLEXIBLE

    Runs on various platforms, from small embedded hardware to large servers with multiple streams.

  • USER FRIENDLY

    Web User Interface allows for easy system management and access.

  • CUSTOM BUILT

    Suitable for low power edge device or server grade deployment.

  • HIGH PERFORMANCE

    Exceptionally high computing power, despite small form, tuned to detect and recognise faces of Singapore’s diverse ethnic groups.

  • HIGHLY SCALABLE

    Accommodates multiple input video streams and high frame rate (30 fps, full HD resolution frames)

03

Video Analytics (VA) Engine

Capabilities

  • REAL-TIME DETECTION

    Real-time inferencing of video stream.

  • MULTI-STREAM SUPPORT

    Allows multiple cameras to be attached to detection system for simultaneous streaming.

  • CUSTOMIZABLE

    Bespoke models to suit different business needs.

  • HIGHLY SCALABLE

    Modular feature enable spawning of multiple instances to scale performance accordingly.

Features

  • DETECTION ENGINE

    Identifies various objects including person, vehicle, bag, cell phone, umbrella, dog, book.

  • CLASSIFICATION ENGINE

    Groups identified objects accordingly across various categories including body parts, colour of body parts, style of bag and colour of bag.

04

K.A.T.I.E.

(Keep Annotation and Training Incredibly Easy)

Capabilities

  • ALL-IN-ONE

    Connects all stages of the machine learning into a single platform

  • DATA PRIVACY AND SECURITY

    Ensures data is kept private but enabling the platform to be kept within your infrastructure

  • Integrated Solution

    Integration with existing software stack is possible using restful API

  • USER FRIENDLY

    Designed from the ground up to make it easy for both novices and experts

Features

  • ANNOTATION TOOL

    Easy-to-use, AI-assisted labelling uses built-in detection models to increase the speed of labelling, thus improving speed of delivering an ML model.

  • DATASET MANAGEMENT

    Datasets are managed from a common place, live updates of the data labelling process enables viewing of dataset summary for all necessary details, and various formats of import and export are supported.

  • TRAINING MANAGEMENT

    Highly configurable dashboard enables quick overview of all training processes and fine-tuning, if required. All models are also augmented with metadata for tracking.

  • ANALYTICAL TOOLS

    Common set of measures are put in place for fair comparison between trained models.

05

BACK TO THE START

Speech Analytics

Capabilities

  • LOCALIZED VOCABULARY

    Interprets and processes vocabulary that are uniquely Singaporean (Singlish). Codeswitch decoding detects Singaporean English and Mandarin speech.

  • PERSONALISATION

    Training system enables models to be personalised with custom datasets.

  • MULTIPLE QUERY TYPES

    Recognises query by both speech and text examples.

  • HIGH PERFORMANCE

    Supports ASR in real-time with good accuracy even on speech with language code-switching.

Personal Data Protection Policy
This site uses cookies to personalise your experience and analyse site traffic.
By continuing to access the KLASS site or by closing this dialog, you agree to our policies.
Personal Data Protection Policy

Join our team_Close_

Join our team_Close_

Are you the one? Join us in creating solutions for a better world, see our job openings below.

If you are great at what you do, we want you. See our job openings below.

CHAT WITH USLEARN MORE

Senior Software Engineer (Cloud Solutions)

  • WORK TYPE

    Permanent

  • LOCATION

    Singapore

RESPONSIBILITIES

  • Design and implement robust Cloud-Native software solutions for orchestration service management, big data processing, machine learning systems, distributed storage services
  • Research and develop performant container-based cluster management solutions to manage Cloud-Native workloads and resources within the broad security domain
  • Work with security-focused on-premise and hybrid Cloud systems following DevSecOps best-practices
  • Discuss, contribute ideas, give meaningful code reviews, and communicate accurately and effectively with a multi-disciplinary team of like-minded engineers
  • Research on the current state-of-the-art, while helping team members to grow their technical capabilities
  • Technical leads are also expected to direct projects, mentor employees, and manage teams to efficiently fulfil company objectives

REQUIREMENTS

  • 5+ years in a hands-on role in one or more domains:
    • -Distributed/Cloud-Native services design and development
    • -Full-stack web development
    • -DevOps
  • Excellent language-agnostic coding skills
  • Excellent understanding of OS, platform, and network security patterns, and frameworks
  • Extremely familiar with a Linux-based development environment
  • Demonstrated ability to architect robust frameworks and implement elegant solutions to complex problems
  • Strong work ethics. Driven to pursue the best solution possible in the quickest time
  • Pursue high-quality code and focused on engineering quality, making an effort to create outstanding, risk-free, thoroughly tested solutions
  • Excellent communication skills

PREFERRED SKILLS

  • 3+ years of professional programming experience in at least one of the following:
    • -Go
    • -Python
    • -C++
  • Practical knowledge of Cloud technologies such as Kubernetes, any Public Cloud, and other Cloud-Native FOSS projects (e.g. Hashicorp stack, Istio, Cert-Manager, Keda, etc...)
  • Led and mentored teams
  • Demonstrable track record as a key contributor in previous roles

WHAT WE OFFER

  • Competitive salary, bonuses and attractive benefits
  • A flat hierarchy with minimal bureaucracy. All technical leads are also hands-on
  • Freedom to pursue your interests (within reason)
  • Learning opportunities through courses, seminars and conferences
  • A stable working environment
  • Flexible working hours
  • A chance to make a real difference to society through your work

Manager / Business Analyst (Innovation and Partnership)

  • WORK TYPE

    Permanent

  • LOCATION

    Singapore

RESPONSIBILITIES

  • Responsible for a global technology sourcing program to identify emerging public safety solutions that could develop into new capabilities or solve problem statements for our clients
  • Assists KLASS management in business development and key account management, to identify opportunities and secure contracts for the company
  • Should comfortably juggle between business development, project management, and account management roles, and act as a link between emerging technology topics and our business objectives
  • Should also possess deep interest in latest technology trends (e.g. AI and Machine Learning), willing to learn and work in a team environment
  • Serve as a point-of-contact between KLASS and its partners, proposal drafting & review, deal negotiations, technology scouting & trend analysis, report drafting, business platform and process review, management reporting, etc

REQUIREMENTS

  • Bachelor’s Degree in Computer Science/ Engineering
  • CAPM/PMP/MBA would be advantageous
  • 2 to 8 years working experience
  • Experience in a software sales/ consulting/ analyst role
  • Experience with early-mid TRL software solutions (especially in AI and Machine Learning)
  • Experience working on large (multi-million dollars) projects (government projects preferred)
  • Strong industry networks in private and government sectors on top of start-up & innovation scenes (preferred)

PREFERRED SKILLS

  • Resourceful and knowledgeable on emerging technology topics
  • Experience in analysing data to draw business-relevant conclusions
  • Familiarity with Microsoft office software suite
  • Proficient with data visualisation tools and techniques
  • Good interpersonal and relationship building skills
  • Meticulous and strong organisational skills
  • Excellent communication and negotiation skills

WHAT WE OFFER

  • Competitive salary, bonuses and attractive benefits
  • A flat hierarchy with minimal bureaucracy. All technical leads are also hands-on
  • Freedom to pursue your interests (within reason)
  • Learning opportunities through courses, seminars and conferences
  • A stable working environment
  • Flexible working hours
  • A chance to make a real difference to society through your work

Researcher - Cyber Security (All Levels)

  • WORK TYPE

    Permanent

  • LOCATION

    Singapore

RESPONSIBILITIES

  • Collaborate with cyber threat experts to enhance system security
  • Conduct fuzzing, reverse engineering and code audit to look out for security flaws on software
  • Develop proof-of-concept in software security flaws
  • Investigate security flaws found and provide remedies to counter cyber threats

REQUIREMENTS

  • Diploma/Degree in Information System, Computer Science or Computer Engineering or equivalent
  • Possess strong interest and passion in the Cyber Security domain
  • Strong background in assembly language, C
  • Knowledge in Android/iOS internals, security mitigation
  • Experience in reversing engineering would be an added advantage
  • Certification in OSCP, OSCE would be an added advantage

WHAT WE OFFER

  • Competitive salary, bonuses and attractive benefits
  • A flat hierarchy with minimal bureaucracy. All technical leads are also hands-on
  • Freedom to pursue your interests (within reason)
  • Learning opportunities through courses, seminars and conferences
  • A stable working environment
  • Flexible working hours
  • A chance to make a real difference to society through your work

Internship Polytechnic (Software Automation Test Engineer)

  • WORK TYPE

    Permanent

  • LOCATION

    Singapore

RESPONSIBILITIES

  • Research, design and improve tools and scripts with relevance to software automation testing
  • Work closely with test team on testing activities e.g. manual testing, create test cases
  • Follow up with developer on bug fixes

REQUIREMENTS

  • Currently pursuing Diploma in Engineering /Computer Science /Information Systems or relevant discipline, in Singapore local Polytechnic
  • Only official Polytechnic Internship period will be considered
  • Able to commit at least 20 weeks for more insightful internship experience
  • Good interpersonal skills and positive learning attitude
  • Ability to work creatively and analytically in a problem-solving environment as well as in a team-oriented and collaborative environment
  • For interested applicants, please email your updated CV to hr@klasses.com.sg and state your school, course of study & official internship period. Only shortlisted candidates will be contacted for interviews and pre-assessments

PREFERRED SKILLS

  • Hands-on individual who shows strong interest in software automation and testing
  • Passionate to learn or familiar with modern software stacks e.g. dockers, automation tools (Robot Framework)
  • Familiar with Linux environment is an advantage

WHAT WE OFFER

  • Competitive allowance and attractive benefits
  • Gain real-world knowledge through hands-on experience
  • A chance to make a real difference to society through your work
  • Professional growth and good learning opportunities
  • Learning Opportunities and Outcomes
    • Gain hands-on experience in software testing
    • Gain experience in using modern software stacks such as dockers environment
    • Gain proficiency in using and designing automation test tools and scripts

Internship Undergraduate (Software Automation Test Engineer)

  • WORK TYPE

    Internship

  • LOCATION

    Singapore

RESPONSIBILITIES

  • Research, design and improve tools and scripts with relevance to software automation testing
  • Work closely with test team on testing activities e.g. manual testing, create test cases
  • Follow up with developer on bug fixes

REQUIREMENTS

  • Currently pursuing Bachelor's Degree in Engineering /Computer Science /Information Systems or relevant discipline, in Singapore local University
  • Only official University Internship period will be considered
  • Able to commit at least 20 weeks for more insightful internship experience
  • Good interpersonal skills and positive learning attitude
  • Ability to work creatively and analytically in a problem-solving environment as well as in a team-oriented and collaborative environment
  • For interested applicants, please email your updated CV to hr@klasses.com.sg and state your school, course of study & official internship period. Only shortlisted candidates will be contacted for interviews and pre-assessments

PREFERRED SKILLS

  • Hands-on individual who shows strong interest in software automation and testing
  • Passionate to learn or familiar with modern software stacks e.g. dockers, automation tools (Robot Framework)
  • Familiar with Linux environment is an advantage

WHAT WE OFFER

  • Competitive allowance and attractive benefits
  • Gain real-world knowledge through hands-on experience
  • A chance to make a real difference to society through your work
  • Professional growth and good learning opportunities
  • Learning Opportunities and Outcomes
    • -Gain hands-on experience in software testing
    • -Gain experience in using modern software stacks such as dockers environment
    • -Gain proficiency in using and designing automation test tools and scripts

Internship Undergraduate (Software Engineer)

  • WORK TYPE

    Internship

  • LOCATION

    Singapore

RESPONSIBILITIES

  • Development of experimental projects
  • Design and develop new software systems to support business requirements
  • Documentation of projects
  • Possible Projects
    • -Computer system: Improve existing system to enhance user experience when doing machine learning
    • -Software Engineering for machine learning: TensorRT

REQUIREMENTS

  • Currently pursuing Bachelor's Degree in Engineering /Computer Science /Information Systems or relevant discipline, in Singapore local University
  • Only official University Internship period will be considered
  • Able to commit at least 20 weeks for more insightful internship experience
  • Keen interest in building systems and software engineering
  • Good interpersonal skills and positive learning attitude
  • Ability to work creatively and analytically in a problem-solving environment as well as in a team-oriented and collaborative environment
  • For interested applicants, please email your updated CV to hr@klasses.com.sg and state your school, course of study & official internship period. Only shortlisted candidates will be contacted for interviews and pre-assessments

PREFERRED SKILLS

  • Knowledge of Object-Oriented Programming and Patterns
  • Good understanding of Data Structures and Algorithms
  • Knows/willing to learn and code in C++, Python, JavaScript, JSON in a Linux environment
  • Knows/willing to compile and use opensource libraries in python/C++

WHAT WE OFFER

  • Competitive allowance and attractive benefits
  • Gain real-world knowledge through hands-on experience
  • A chance to make a real difference to society through your work
  • Professional growth and good learning opportunities

Internship Polytechnic (Software Engineer)

  • WORK TYPE

    Internship

  • LOCATION

    Singapore

RESPONSIBILITIES

Front-End

To create GUI upgrades for existing web system, work with video, images and audio on a web front end to allow users to annotate portions that are important for machine learning. Automated test scripting is required for a robust system. Ability to do some work in the backend is good to have. Intended learning outcomes: development in web front end technology and development in automated web tests.

     

Back-End

To work in the backend in python, Go lang, or C++ to integrate new machine learning technology into our system. The data types that will be encountered include multi-dimensional arrays, and other complex types, as well as video, audio and image data. Ability to understand math from papers will be a bonus. Intended learning outcomes: awareness of machine learning algorithms and backend development to deal with complex data types and working with machine learning algorithms as APIs.

REQUIREMENTS

  • Currently pursuing Diploma in Engineering /Computer Science /Information Systems or relevant discipline, in Singapore local Polytechnic
  • Only official Polytechnic Internship period will be considered
  • Able to commit at least 20 weeks for more insightful internship experience
  • Good interpersonal skills and positive learning attitude
  • Ability to work creatively and analytically in a problem-solving environment as well as in a team-oriented and collaborative environment
  • For interested applicants, please email your updated CV to hr@klasses.com.sg and state your school, course of study & official internship period. Only shortlisted candidates will be contacted for interviews and pre-assessments

PREFERRED SKILLS

  • Front-End: Javascript, Typescript, React.js, Cypress
  • Back-End: C++, python, Go lang, SQL

WHAT WE OFFER

  • Competitive allowance and attractive benefits
  • Gain real-world knowledge through hands-on experience
  • A chance to make a real difference to society through your work
  • Professional growth and good learning opportunities