# Avanseus

> Avanseus is a Singapore-based artificial intelligence company that builds predictive maintenance software for telecommunications and industrial IoT networks. Its flagship Cognitive Assistant for Networks uses a patented unsupervised learning algorithm to forecast network faults and degradations days in advance and to surface likely root causes, letting operators fix problems before customers feel them. Founded in 2015, the company was acquired by Accenture in February 2026 to strengthen Accenture's push toward autonomous telecom networks.

- **Founded:** 2015
- **Headquarters:** Singapore
- **Founders:** Bhargab Mitra (Co-founder & CEO), Chiranjib Bhandary (Co-founder), Giuseppe Donagemma (Co-founder & Chairman), Mei Lan Ng (Co-founder), Rajendra Panda (Co-founder)
- **Team size:** ~46 employees
- **Products:** Cognitive Assistant for Networks (CAN), Universal Prediction Algorithm, Anomaly Detection & Optimization Models, Impact-Based Actioning
- **Notable:** Developed a patented unsupervised deep-learning algorithm that addresses long temporal dependency in fault prediction., Fault prediction from as little as 3-6 months of historical alarm data, with 7-30 day advance warning., Listed on Red Hat and VMware marketplaces and certified on Red Hat OpenShift.

## Products & services

- **Cognitive Assistant for Networks (CAN)** — A cloud-native AI/ML solution that predicts network faults and performance degradations 7 to 30 days in advance and recommends likely root causes from historical fault patterns. Non-intrusive and works across mobile, fixed, IP/MPLS backbone, transmission and enterprise IoT, from legacy wireline to 5G.
- **Universal Prediction Algorithm** — A patented neural-network-based unsupervised learning algorithm that delivers fault and degradation prediction from as little as 3 to 6 months of historical alarms, addressing long temporal dependency in AI.
- **Anomaly Detection & Optimization Models** — Models for anomaly detection, cross-domain correlation, impact analysis and optimization used to improve operational efficiency in complex network operations.
- **Impact-Based Actioning** — Capabilities for fault impact estimation, impact scoring and prioritization so operators can act on the faults that matter most.

## Achievements

- Developed a patented unsupervised deep-learning algorithm that addresses long temporal dependency in fault prediction.
- Fault prediction from as little as 3-6 months of historical alarm data, with 7-30 day advance warning.
- Listed on Red Hat and VMware marketplaces and certified on Red Hat OpenShift.
- Acquired by Accenture in February 2026 to accelerate telecom clients' autonomous-network journeys.
- Recognized in Gartner Peer Insights for Cognitive Assistant for Networks.

## Latest updates

- **2026-02** — Accenture announced the acquisition of Avanseus's advanced AI technology to help communications companies accelerate their autonomous-network journeys.
- **2021-08** — Cognitive Assistant for Networks made available on the VMware Marketplace and Red Hat OpenShift.
- **2020-01** — Closed a Series A round backed by TNB Aura and SEEDS Capital.
- **2019-01** — Raised US$1.3M in convertible-note bridge financing led by TNB Aura with SEEDS Capital.

## Links

- Website: https://avanseus.com
- LinkedIn: http://www.linkedin.com/company/avanseus
- Twitter/X: https://twitter.com/avanseus

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Profile page: https://yespress.io/avanseus
Published by YesPress — https://yespress.io
Last updated: 2026-07-13