Senser
Data-driven Service Solution
Startup Seed Business Software Est. 2021
Total Raised
$9.5M
Seed
Last Round
$9.5M
2 rounds
Investors
2
2 public
Team
3
11-50 employees
Confidence
72/100
News
2
articles
About
Senser is an AIOps (Artificial Intelligence for IT Operations) platform designed to alleviate the challenges associated with monitoring and troubleshooting in IT environments. The platform utilizes eBPF (Extended Berkeley Packet Filter) to provide instantaneous, instrumentation-free visibility into production environments. By leveraging machine learning (ML), Senser significantly accelerates the time to detect issues by offering insights into the root cause and business impact of service-related problems. This allows users to move beyond traditional monitoring approaches and address operational challenges with actionable insights, enhancing efficiency in IT operations.
Classification
Sector
Business SoftwareIT, R&D & Data SolutionsProduct Development ToolsIT & Network ManagementSoftware Development Tools
Core Technology
Artificial IntelligenceMachine Learning
Target Customer
Enterprise & Professional ServicesIT
Business Model
B2B
Funding & Events
Sep 2023
Seed $9.5M
Eclipse Ventures (Lead), Amdocs
Nov 2021
Undisclosed Round Undisclosed
News (2)
Dec 14, 2023 · www.prnewswire.com
growth-positive
Senser Enhances Enterprises' Production Performance with New End-to-End SLA/SLO Management Suite
Customers
Sep 27, 2023 · www.calcalistech.com
Growth-Positive
Senser emerges from stealth with $9.5 million in Seed | CTech
InvestmentCustomers
Details
Product Stage
Released
Employees
11-50
Exact Count
13
Founded
2021
Registrar
516464468
Locations
Tuval St 11, Ramat Gan, Israel
Links
Website
LinkedIn
Admin
Last Update
Sep 7, 2024
Verified by
Dana Arnon
Missing
sector, tags, video or image, markets, not claimed
Team (3)
Amir Krayden
Co-founder & CEO
Or Sadeh
Co-founder & CPO
Founder
Yuval Lev
Co-founder & CTO
Founder
Internal
Created by
Maor Perlov (maor.perlov@sncentral.org)
Created
2022-09-29T00:00:00.000Z
Last editor
Dana Arnon (dana.arnon@mail.huji.ac.il)