Sensai-AI powered, simplified and automated
data center performance monitoring

Sensai-AI powered, simplified and automated data center performance monitoring

We Are Network cognition

Sensai provides managers of modern Data Center (DC) networks a cognitive, anomaly detection and prediction tool able to troubleshoot issues in sub-minutes rather than hours.
Our goal is to optimize DC performance, reduce cost of outages, and improve quality of service of Data Centers.

We Are Network cognition

Sensai provides managers of modern Data Center (DC) networks a cognitive, anomaly detection and prediction tool able to troubleshoot issues in sub-minutes rather than hours.

Our goal is to optimize DC performance, reduce cost of outages, and improve quality of service of Data Centers.

Integrated View

  • Identifies network anomalies in real time

  • Identifies Root cause of anomaly

  • Provides suggestion for relevant mitigation plan

  • Can activate mitigations based on the network intent

  • Adaptive, continues learning and adjusting providing customized actionable insights and operational intelligence about the health of your data center

  • Can integrate data from other tools and analyze and present them in a holistic manner

  • Agnostic to the networking layers or to the type of infrastructure

Integrated View

  • Identifies network anomalies in real time

  • Identifies Root cause of anomaly

  • Provides suggestion for relevant mitigation plan

  • Can activate mitigations based on the network intent

  • Adaptive, continues learning and adjusting providing customized actionable insights and operational intelligence about the health of your data center

  • Can integrate data from other tools and analyze and present them in a holistic manner

  • Agnostic to the networking layers or to the type of infrastructure

Tool Features

Monitoring

Efficient Monitoring Engine

Sensai gives you the power to monitor in real time data center health from the server level through cluster and up to the network level.

Cognitive

AI at the core

Utilizes AI to monitor/analyze network behavior, identifies correlations, detects anomalies, suggests relevant corrective action(s) based on traced root causes. Precise answers in real time.

Usability

Integrative Web UI

A fast and well-organized web interface gives you access to all relevant data in one place. Simple integration with other monitoring tools. Custom views in intuitive dashboards. The appealing web interface lets you take action in just one click, enabling you to react to any event.

Alerting

Get Notified Immediately

Don’t wait for a customer service complaint, be proactive. Sensai alerts you of performance issues at any time you wish, through any channel you want.

Management

Inas Said

Inas is a serial entrepreneur with over 25 years of Hi-Tech experience in Germany, US, & Israel. He is the co-founder of Galil Software, Amwal Financial Services and Rise Nano Optics. Inas served in a variety of capacities at Nokia-Siemens, Stratus Technologies, and ECI Telecom.
Inas holds a MSc. in electrical & electronics Engineer from TU Braunschweig, an executive MBA from the Kellogg-Recanati and is a Doctoral Candidate in Business Administration at the University of Portsmouth, UK.

Hanadi Said

Hanadi has over 20 years experience in the field of business management, strategic consulting & risk management in Israel and USA. Hanadi held various management positions in Teva pharmaceutical industries, Deloitte, and PwC.
Hanadi holds a Bachelor of accounting degree from McGill University, an MBA in finance and entrepreneurship from Bentley University and is a Certified Public Accountant (CPA) in the USA, Certified Internal Auditor (CIA) and Certified Risk Manager

Rafi Horev

Rafi has over 30 years of experience and vast knowledge with cutting edge technologies. Rafi was a co-founder at Radiflow. He held leading R&D positions in companies such as Radiflow, Como, Nokia Siemens, Lucent, Avaya.
Rafi holds a BSc. degree in computer engineering from the Technion and MSc. equivalent in Avionics systems engineering from IAI and Technion.

Advisors

Amit Cohen

Amit is a serial founder and entrepreneur with more than 20 years of experience in the Telecom, cloud and IT security markets. He previously co-founded and was the CEO of 40Cloud,acquired by FireMon, and previously was VP Product and CTO at ECI Telecom. Amit holds an MSc in Computer Science from the Technion and an EMBA from the Kellogg School of Management.

David Moses

David is a seasoned IT professional with expertise in the fields of data communications, real-time systems, complex software, switches, routers, C and Linux. David is highly experienced in SW architecture, specializing in network Protocols, switch ASIC and NMS and has vast knowledge in storage systems.
David held executive positions in companies such as Kaminario, Mellanox technologies, Telco systems (a BATM company).

Bar Vinograd

Bar is a machine learning and deep learning expert specializing in computer vision, NLP, statistical modelling and anomaly detection. Bar is a Google Launchpad global mentor and held positions incompanies such as  Upsolver, Adallom, and Oracle. Bar holds a BSc. in Mathematics, Linguistics (Cum Laud) from Tel Aviv University

We Are Hiring

Sensai provides a smart integrated active monitoring system to data-center operators. The system utilizes machine learning, which identifies and predicts anomalies that impact data-center ability to optimize performance. 

Responsibilities

The ML team leader’s job is to design and develop the cognitive core (encompassing multiple models) of a software based active monitoring tool which monitors, analyses and predicts behaviors in data center environment, taking it from concept to launch. Lead, collaborate and work efficiently amongst a team of developers, designers and consultants. Work very close with the system infrastructure and UI teams to build AI based projects from start to finish. The candidate is expected to know and adapt to leading technologies. The ML team leader is expected to provide leadership to the ML team and to partner with VP R&D on integration with overall system architecture. 

Qualifications:

  • C in Computer Science, computer Engineering, Mathematics, Statistics, other technical sciences
  • 3+ years of experience ML production grade software (if BSc. then 5+ yrs. experience in ML.)
  • At least 1 years’ experience as an ML project/team leader
  • Knowledge of ML system design, and with ML main algorithms
  • Experience in a fast-paced development environment, and an ability to execute against aggressive timelines
  • Highly creative and inquisitive; able to multitask effectively; embraces challenges and is a true team player
  • Able to research in needed subject matters
  • Working with Python, Java, TensorFlow

Advantages

  • Knowledge with big data, NoSQL, Elastic search, Spark
  • Experience in startup environment
  • Data center industry experience
  • Networking experience

Responsibilities 

The Senior software Architect’s job is to design the architecture of a cognitive software based active monitoring tool for data centers, taking it from concept to launch. Lead, collaborate and work efficiently amongst a team of developers, designers and consultants. Work very close with the AI team members, infrastructure and UI teams to build AI based projects from start to finish. The candidate is expected to use leading software technology frameworks. The senior architect will be expected to provide technical software leadership to the team and to partner with VP R&D on integration with overall system architecture.  

Qualifications: 

  • University Degree in one of: Computer Science, Engineering, Statistics, Technical Science. MS.C preferred.
  • 5 years of experience with software development. At least 2 years’ experience as a software architect
  • Experience in a fast-paced development environment, and an ability to execute against aggressive timelines
  • Highly creative and inquisitive; able to multitask effectively; embraces challenges and is a team player
  • Able to research in needed subject matters
  • Languages/ frameworks/ tools:  Python, Java, No-SQL DB, Kubernetes and Docker

Advantages 

  • Experience/knowledge with machine learning methods (supervised, self-supervised, un-supervised learning mode etc.)
  • Languages/ frameworks/ tools: R, TensorFlow, Elasticsearch, Spark, Redis
  • Data center industry experience 
  • Networking experience 

Contact us

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