The Silicon Valley data company teaching telcos to think - and act - like tech companies.
LigaData, Silicon Valley. A lean, engineering-led team that says it "punches above its weight," building carrier-grade data infrastructure for operators from Doha to Kigali to Baghdad.
Every large telecom operator sits on a paradox: petabytes of data, almost none of it usable in the moment a decision needs to be made. Subscriber records live in one system, network events in another, billing somewhere else. LigaData built its business on closing that gap.
Founded in 2014 by Bassel Ojjeh and Krishna Uppala - two engineers who had shipped big-data systems at Yahoo! and the behavioral-targeting startup nPario - the company delivers data products and managed services that, in its own words, "help organizations transform data into trusted, AI-ready intelligence."
The customers are mostly communications service providers, with a secondary base in financial services. LigaData says its software supports more than 35 carriers and hundreds of millions of subscribers, unifying subscriber and operational data into a single 360-degree view so that analytics and AI have a solid foundation to stand on.
The framing the company likes is blunt: it helps telcos evolve "from Telcos into Techcos." That is a crowded promise in an industry full of transformation slide decks. LigaData's answer is less rhetoric and more plumbing - a data fabric, an AI fabric, and pre-built applications that sit on top of them.
Most AI programs in telecom fail not on the model but on the data underneath it - fragmented, ungoverned, and too slow to reach the point of decision. LigaData positions itself upstream of the hype: fix the foundation, then let the AI apps follow.
Where horizontal platforms like Snowflake and Databricks sell a general engine, LigaData ships an opinionated, telecom-shaped stack with the domain logic already wired in. That is the trade it is betting on: less flexibility, far less time to value.
Carrier-grade, multi-cloud platform unifying subscriber and operations data into one 360-degree view, with a telecom semantic layer and pre-built ML. Version 4.0 launched at MWC Barcelona 2024.
A suite of telecom AI apps spanning subscribers, mobile digital services, marketing and revenue - segmentation, cross-sell, churn, lifetime value and price optimization.
Model lifecycle management and GPU-enabled AI orchestration at scale, for enterprise machine-learning and GenAI workloads.
Protection for data lakes and lakehouses: multiple daily backups, hot/warm/cold tiering, archiving, point-in-time recovery and ransomware protection with DR on Azure, GCP and AWS.
Manages and analyzes petabyte-scale data and unifies siloed operational sources into a governed foundation.
An Apache-2.0 real-time continuous-decisioning engine that scored PMML models on live streams via Kafka and Spark. An early-generation product, now superseded by the fabric line.
Also offered: Managed Services, Professional Services, Strategic Advisory and Data Governance.
Outcomes are drawn from LigaData's published case material (including an Africa-based operator and MTN Rwanda). Independent verification was not available for every figure.
Came to the United States alone from Syria at 16. Built big-data and behavioral-targeting systems at Microsoft, Yahoo! and nPario, holds multiple patents, and now leads LigaData's product and go-to-market.
A data-warehousing and database veteran credited with 27 patents. Formerly CTO at nPario and Senior Director of Engineering at Yahoo!, he leads LigaData's technology architecture.
The leadership bench also includes a Chief Engineering Officer (Shekhar Rajvanshy), a COO (Khaled Jaouni) and a senior advisor drawn from the telecom operator world (Ihab Hinnawi, former Group CEO of Batelco).
Enterprise B2B: a flat yearly subscription priced by the features deployed, layered with managed, professional and advisory services so carriers can operate the platform without building a large in-house team.
Competes against horizontal data platforms (Snowflake, Databricks, cloud-native services) and telecom analytics specialists. Its wedge is domain depth - a stack pre-shaped for carriers and regulated data.
Bassel Ojjeh and Krishna Uppala launch the company in Silicon Valley to modernize enterprise data foundations.
An Apache-2.0 real-time continuous-decisioning engine, presented at Strata + Hadoop World.
Barclays builds an award-winning real-time decisioning engine on LigaData's open-source stack.
Point-in-time recovery, tiering and ransomware protection for data lakes and lakehouses.
Six telecom AI apps ship on one fabric; the MTN Rwanda case study is published.
Ooredoo Qatar begins Phase 2 of its data-governance programme; Asiacell deploys the Data Platform and AI Fabric.
It builds enterprise data and AI products - the Telecom Data Fabric, AI Fabric, SubscriberIQ apps and Time Machine - plus managed services that help telecom operators and financial-services firms turn siloed data into trusted, AI-ready intelligence.
It was founded in 2014 by Bassel Ojjeh (CEO) and Krishna Uppala (CTO), both former Yahoo! and nPario engineers, and is headquartered in Palo Alto, California.
Mostly communications service providers and banks. Named customers include Ooredoo, MTN Rwanda, Asiacell and, historically, Barclays. LigaData says it supports 35+ carriers and hundreds of millions of subscribers.
Through enterprise software subscriptions - a flat yearly fee based on the features deployed rather than data volume or users - combined with managed, professional and advisory services.
A carrier-grade, multi-cloud platform that unifies subscriber and network data into a single 360-degree view with a telecom-specific semantic layer, reducing integration from months to days. Version 4.0 launched at MWC Barcelona 2024.