Top 10: AIOps and MLOps platforms

2023. Senser launches its AI-enhanced observability platform, raises $9.5M



Senser, a startup that describes itself as an AIOps platform that uses machine learning to help developers and ops teams more easily get to the root causes of outages and service degradations, has raised $9.5 million seed round. At its core, Senser uses the increasingly popular eBPF technology to monitor a company’s infrastructure. The advantage of eBPF is that it runs inside of the Linux kernel and can hence easily see all of the networking and application traffic without any major additional overhead. Given the advantages of this technology, it’s no surprise that a lot of observability companies are betting on it and while the market is getting increasingly saturated, Senser is betting on AI to give it a competitive edge.


2022. Diveplane lands $25M to grow its MLOps platform



Diveplane, a company specializing in AI technology, has successfully secured $25 million in Series A funding. Diveplane's current product lineup includes solutions for generating synthetic data to train AI systems, identifying anomalies in data, and forecasting market trends. The company falls under the MLOps category, which focuses on providing organizations with tools to deploy and manage machine learning models in production environments. One of Diveplane's notable products, Geminai, creates anonymized twin datasets that closely resemble real data, enabling privacy-preserving AI training. Additionally, Diveplane's Sonar service ensures the accuracy and performance of AI systems over time by regularly analyzing data and monitoring system behavior to prevent deviations from the intended course.

2022. Arize lands $38M to grow its MLOps platform for the enterprise



Arize AI, a startup dedicated to developing a platform for machine learning operations, has announced the successful completion of a $38 million Series B funding round. While Arize faces competition from various players in the MLOps market, such as Tecton, Galileo, Modular, Gantry, and Grid.ai, it differentiates itself in several key aspects. Notably, Arize places a strong emphasis on observability, offering a unique embeddings product that allows for a deeper understanding of the structure of deep learning models. Arize recently introduced embedding drift monitoring, a feature designed to detect instances when models become less accurate due to outdated training data. This focus on observability sets Arize apart from its competitors and positions it as a leading provider in the MLOps space.


2022. BigPanda gets its horn after securing $190M



AIOps leader BigPanda has achieved a valuation of $1.2 billion after successfully securing $190 million in a recent Series D funding round led by Advent International. BigPanda's cutting-edge technology has the capability to transform massive amounts of IT data into actionable insights, enabling IT operations teams to adopt a proactive approach towards incident management. By automating incident management processes, the company empowers organizations to effectively address critical issues. Recognizing the rapid pace of innovation and the increasing allocation of vital resources towards firefighting, BigPanda sought additional funding to meet the growing demand. With a strong performance in the third quarter and an optimistic outlook for the fourth quarter, the decision was made to pursue additional funding.


2021. IBM is acquiring cloud app and network management firm Turbonomic for up to $2B



IBM has made the decision to acquire Turbonomic, a company specializing in providing tools for managing application performance, including resource management, Kubernetes, and network performance. This acquisition aligns with IBM's broader strategy of incorporating more artificial intelligence (AI) into IT operations, commonly known as AIOps. Turbonomic's tools are particularly valuable in hybrid cloud architectures, which involve the management of workloads across various cloud environments, as well as on-premise systems. While hybrid cloud architectures offer benefits such as resilience, cost optimization, and flexibility, effectively managing them can be challenging. Turbonomic's solutions automate management processes, analyze performance, and offer suggestions to network operations engineers, enabling them to meet usage demands efficiently.


2021. MLOps startup InfuseAI raises $4.3M



AI models require significant time not only for building and training but also for integrating them into an organization's workflow. This is where MLOps (machine learning operations) companies play a crucial role by assisting clients in scaling their AI technology. Today, InfuseAI, an MLOps startup headquartered in Taiwan, announced a successful Series A funding round of $4.3 million. InfuseAI specializes in facilitating the deployment and management of machine learning models for companies. They offer turnkey solutions like PrimeHub, a comprehensive platform that encompasses a model training environment, cloud or on-premise cluster computing (including container orchestration with Kubernetes), and collaboration tools for teams. Additionally, InfuseAI's product, PrimeHub Deploy, enables clients to efficiently train, deploy, update, and monitor their AI models.


2020. OpsRamp raises $37.5M for its hybrid IT operations platform



OpsRamp, a platform designed to assist IT teams in discovering, monitoring, managing, and automating their hybrid environments, has successfully concluded a funding round, raising $37.5 million. At the heart of OpsRamp's offerings is its AIOps platform, which leverages machine learning and other advanced techniques to help IT teams effectively handle intricate infrastructure deployments. By providing intelligent alerting and progressively automating tasks, OpsRamp aims to simplify IT operations in the face of increasing complexity. Additionally, the company's product portfolio encompasses cloud monitoring and incident management tools, enhancing its comprehensive suite of IT management solutions.


2020. ServiceNow acquires AI-based IT monitoring startup Loom Systems



ServiceNow, a leading digital service company, has completed the acquisition of Loom Systems, an Israeli startup specializing in AIOps (Artificial Intelligence for IT Operations). The financial details of the acquisition were not disclosed. As ServiceNow focuses on digitizing service processes across various domains, IT service operations plays a significant role in their portfolio. Traditionally, organizations would monitor their systems, react to problems, and then investigate and resolve the root causes. However, with the power of artificial intelligence, potential threats to system health can be identified and mitigated proactively, avoiding major issues. Loom Systems' AIOps product offers such capabilities. Through this acquisition, ServiceNow aims to combine Loom Systems' AI innovations with its own AIOps capabilities, enabling customers to prevent and address IT issues before they escalate into significant problems.


2019. Splunk acquired cloud AIOps service SignalFx


Splunk, the data processing and analytics company, has completed the acquisition of SignalFx for an estimated amount of $1.05 billion. SignalFx specializes in real-time cloud monitoring solutions, predictive analytics, and other related services. This acquisition is expected to enhance Splunk's position in the cloud sector, enabling it to provide stronger support for cloud-native applications and modern infrastructures and architectures they depend on. By integrating SignalFx, Splunk aims to offer customers a comprehensive platform capable of monitoring the complete lifecycle of enterprise applications.