10 Top AI Solutions for Telecom Operations [2025]

AI solution providers are reshaping the telecom industry with intelligent, adaptive technologies. In 2025, the startups offering AI solutions for telecom operations are focusing on key challenges such as network congestion, real-time fault detection, and energy-efficient infrastructure. Their innovations support everything from faster 5G deployment to smarter satellite communication by unlocking new possibilities for coverage, performance, and automation.

This article highlights 10 emerging startups to watch bringing AI into critical telecom functions, including predictive maintenance, traffic optimization, edge intelligence, and virtualized network management. It provides a valuable guide for telecom operators, infrastructure providers, R&D teams, procurement specialists, and investors tracking innovations at the intersection of AI and communications.

Global Startup Heat Map highlights Emerging AI Solutions for Telecom Operations

Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 7M+ startups, 20K+ technology trends plus 150M+ patents, news articles & market reports, we identified 60+ AI telecom startups.

The Global Startup Heat Map below highlights the AI solutions for telecom operations startups you should watch in 2025 as well as the geo-distribution of 60+ startups & scaleups we analyzed for this research.

According to our data, we observe high startup activity in the US and Western Europe, followed by India. The top 5 Startup Hubs for AI in telecom are London, Bangalore, San Francisco, Gurgaon, and Singapore.

Explore Emerging AI Solutions for Telecom Operations in 2025

We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics. These emerging telecom AI startups work on solutions ranging from AI-based internet monitoring and geographical digital twin to AI connectivity insights and AI cybercrime protection.

1. NLPearl – Human-like AI Phone Agent
2. Astrotel – Cloud and AI Native Telecommunications
3. AGIE AI – Automated Labeling Method
4. Impulse – AI Cloud for Communication Service Provider (CSP)
5. BBOX AI – Data-Driven Conversational AI SaaS Platform
6. SWSAM Solutions – AI-based Internet Monitoring
7. aiShield.me – AI Cybercrime Protection
8. Salvy – Telecom Management Platform
9. Deepwise – Geographical Digital Twin
10. Infranomics – AI Connectivity Insights Solutions

1. NLPearl

• Founding Year: 2022
• Location: Tel Aviv, Israel
• Use For: Human-like AI Phone Agent

Israeli startup NLPearl offers Pearl, a human-like AI phone assistant that automates voice conversations with customers for telecom companies. Pearl manages both incoming and outgoing calls using advanced natural language processing (NLP) and deep learning. It identifies the caller’s intent and maintains multi-step, context-rich conversations.

The assistant continuously learns from each interaction, adapts to conversational dynamics, and detects emotions in real time to react appropriately and sympathetically. Its features include multilingual support to allow users to interact in various languages.

Also, it integrates with current customer relationship management (CRM) systems via a strong application programming interface (API) to ensure data flow.

Thus, NLPearl lowers operating expenses, increases agent efficiency, and first call resolution rates by automating repetitive queries and intricate transactions.

2. Astrotel

• Founding Year: 2024
• Location: New South Wales, Australia
• Use For: Cloud and AI Native Telecommunications

Australian startup Astrotel offers cloud and AI-native telecommunications solutions, such as its internet protocol transit over cloud (IPTOC) service, to maximize network performance. The startup’s solutions run on public cloud providers like Amazon Web Services (AWS), Azure, and Google Cloud. This enables secure and highly available connectivity without complex deployments or extra hardware.

Its representational state transfer (REST) APIs and automation tools simplify deployment and management. IPTOC enables quick setup and integration with existing routers or direct cloud connections. Further, the Alkira platform provides elastic scalability, multi-cloud and multi-region redundancy, and real-time setup and monitoring.

These solutions handle increasing data demands in a digital environment without requiring expensive infrastructure investments or frequent hardware upgrades.

3. AGIE AI

• Founding Year: 2022
• Location: Noida, India
• Use For: Automated Labeling Method

Indian startup AGIE AI‘s data-focused AI platform for the telecom industry allows businesses to create and implement custom AI solutions. It maximizes customer engagement and network performance. The platform automates tasks like intrusion detection, network monitoring, customer service, and geospatial analysis by combining company data with generative AI models.

It systematically labels and analyzes large amounts of telecom data to enable real-time network interaction analysis. It detects unusual traffic patterns and allocates resources to preserve network integrity.

Moreover, the platform offers features like cloud-agnostic deployment across AWS, Azure, or the Google cloud platform (GCP). Also, it provides tools for user experience personalization based on behavioral analytics.

This way, AGIE AI improves efficiency, lowers operating costs, and automates repetitive tasks.

4. Impulse

• Founding Year: 2022
• Location: Goleta, CA, US
• Use For: AI Cloud for Communication Service Provider (CSP)

US-based startup Impulse provides CSPs with an AI-powered cloud platform that integrates behavioral data and customer interactions. The platform’s proprietary AI automates workflows across sales, CRM, and billing to enable data aggregation and actionable insights for decision-makers.

Also, it segments audiences and visualizes metrics while processing large volumes of customer data in real time. It offers relationship intelligence tools that record and summarize meetings, pipeline management, automated lead qualifying, and context-aware agents that spot high-potential possibilities.

Thus, it lowers operational complexity, increases productivity, and facilitates quicker decision-making.

5. BBOX AI

• Founding Year: 2022
• Location: Valetta, Mauritius
• Use For: Data-Driven Conversational AI SaaS Platform

Mauritius-based startup BBOX AI‘s data-driven conversational AI software-as-a-service (SaaS) platform enables telecommunications companies to securely handle omnichannel consumer contacts. The platform integrates NLP and machine learning (ML) with proprietary AI content creation and conversational assistants. This enables automated and customized conversations across mobile marketing tools.

Its real-time processing and analysis of consumer data allows scaling of knowledge automation and content creation, while maintaining consistent brand voice and interactions. It offers features like data security procedures, interaction with current enterprise systems, and a website user interface (WebUI) for management.

BBOX AI improves customer interactions, expedites marketing, and achieves transparent, trustworthy messaging globally in the telecom environment.

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6. SWSAM Solutions

• Founding Year: 2022
• Location: London, UK
• Use For: AI-based Internet Monitoring

UK-based startup SWSAM Solutions offers Flare, an AI-based internet monitoring technology. It enables telecom operators to identify, assess, and fix network problems. Flare gathers and processes application and radio frequency (RF) performance data across video streaming, messaging, gaming, and web services. It uses physical, virtual, and mobile bots to replicate end-user experiences in real time.

The technology’s analytics dashboards enable network operations centers to identify quality shifts, reduce truck rolls, and improve operational efficiency. Its features include zero-touch provisioning, centralized management, and live alarms. The platform also offers self-healing capabilities, plus periodic and on-demand tests to ensure network readiness and key performance indicators (KPI) compliance.

Flare facilitates position monitoring, WiFi scanning, and automatic troubleshooting by integrating with current infrastructure to improve end-user experience and network dependability.

7. aiShield.me

• Founding Year: 2023
• Location: Seattle, Washington, US
• Use For: AI Cybercrime Protection

US-based startup aiShield.me protects senior citizens from online attacks with its AI-based cybercrime prevention tool that continuously monitors network traffic. It identifies and blocks phishing, tech support scams, identity theft, and other cybercrimes targeting seniors.

Its AI-assisted cybersecurity algorithms examine behavioral patterns and spot new threats, and provide defense. Thus, the tool ensures digital independence and peace of mind by providing a responsive solution.

8. Salvy

• Founding Year: 2022
• Location: Curitiba, Brazil
• Use For: Telecom Management Platform

Brazilian startup Salvy offers a telecom management platform that simplifies the administration of IT assets and mobile lines. The platform integrates with HR applications and provides a unified dashboard. This enables automated mobile line assignments, device inventory monitoring, and efficient telecom bill review.

Further, Salvy’s AI migrates company data and assets to facilitate quick onboarding, scans and deciphers complicated telecom invoices, and finds areas for cost savings. It offers automated inventory control, eSIM activation for line provisioning, and multi-network connectivity.

Its SaaS architecture simplifies contracts and improves transparency, and its analytics enable businesses to maximize use and cut telecom costs.

9. Deepwise

• Founding Year: 2024
• Location: Istanbul, Turkey
• Use For: Geographical Digital Twin

Turkish startup Deepwise offers a geographic digital twin platform that simulates the real physical locations of telecom organizations. This platform facilitates asset management and enables predictive analytics. It integrates real-time sensor data and operational information into a virtual replica of infrastructure, such as cell towers and network assets. These AI-supported algorithms monitor conditions, simulate scenarios, and forecast potential failures or investment needs.

Additionally, it offers continuous data ingestion, dynamic network behavior simulation, and insights for resource allocation and maintenance schedule optimization. Thus, it minimizes downtime, reduces manual procedures, and makes data-driven investment decisions with a current digital representation.

10. Infranomics

• Founding Year: 2022
• Location: England, UK
• Use For: AI Connectivity Insights Solutions

UK-based startup Infranomics offers AI connectivity insights products, Atlas and Hercules, that advance the planning and implementation of fiber broadband networks for telecom companies. These tools map operator networks and assess economic and demographic variables. AI algorithms and geographic analysis predict market demand for broadband services.

Atlas develops network expansion strategies by analyzing granular datasets, including address-level data, competitor presence, and return on investment (ROI) projections. Hercules accelerates network design by optimizing build sequences and resource allocation to reduce capital expenditure and time-to-market.

These solutions provide real-time asset assessment, milestone monitoring, and scenario modeling to expedite deployment and optimize revenue.

Discover All Emerging Telecommunications Startups

The telecom startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Telecom Innovation Report for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2025!