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Give AI the context it needs to deliver results

The Totogi Ontology delivers executable semantics for telco, enabling Tier-1 operators to model, modernize, and migrate without lengthy transformation projects or rip-and-replace.

See it in action – March 2–5, 2026 | Hall 2, Booth 2G51

AI doesn’t fail because of technology. It fails because it lacks context.

The core problem holding telcos back from realizing real AI value is semantic chaos. 

With hundreds of disconnected systems speaking different languages, your AI can’t understand your business—let alone act on it. Totogi resolves semantic inconsistency across fragmented, multi-vendor BSS and OSS stacks to create a single, executable source of truth. 

The Totogi Ontology unifies data, business logic, and actions across your stack—and gets smarter with every system you connect.

Come see what happens when AI actually speaks telco.

The Totogi Ontology replaces semantic chaos across legacy BSS and OSS with shared foundations in the form of a telco-specific ontology, giving AI a unified understanding of the business so it can reason, act, and deliver real outcomes in production. This is what enables AI to move from experimentation to execution.

With the Totogi Ontology, operators can:

Model

Turn disconnected data into strategic intelligence

A Tier-1 MEA operator used the Totogi Ontology to model its network semantically, uncovering dormant cells across fragmented systems—cutting root-cause analysis from 48 hours to 30 minutes.

 

Modernize

Enable new capabilities

In APAC, a Tier-1 operator reduced order creation time by 80%, from minutes to seconds, using AI-generated, production-grade code deployed directly into its production.

Migrate

Transform core applications in weeks

A North American Tier-1 operator replaced its billing solution with a new vendor in 14 days, reducing TCO by 75% and project hours by 90% using the Totogi Ontology.

Accelerate your journey at MWC26

See how Totogi is already deploying Tier-1 AI capabilities into production. Visit Totogi in Hall 2 (2G51) to experience it live and understand how a telco-specific ontology gives AI the context it needs to deliver measurable outcomes.

See the Totogi Ontology in action

Visit Totogi in Hall 2, Booth 2G51, to see how Totogi enables AI to scale in production and deliver real impact. 

Explore live walkthroughs of the ontology, real Tier-1 case studies, and what it takes to make AI work for you.

Demos in the Totogi booth

Agentic AI Summit

Totogi is proud to be a Gold Sponsor of GSMA’s Agentic AI Summit, helping shape the industry conversation beyond the hype and demos.

Don’t miss our CEO, Danielle Rios (DR), in a fireside chat that challenges the assumptions driving today’s telco AI strategies and explains why agentic AI only works when it’s grounded in shared meaning, not raw data.

  • Session: The Five Myths of Agentic AI
  • Date: Monday, March 2
  • Summit time: 9:00 AM – 1:00 PM CET
  • Totogi’s session: 12:05 PM – 12:15 PM CET
  • Location: GSMA Summits Stage, Hall 6

Game on before the show begins

Kick off MWC26 week with Totogi’s CEO Danielle Rios for an evening of casual play, courtside hospitality, and great conversation before the event begins.

No padel experience required.

📍Sunday, March 1 | 4:00 – 9:00 PM | Barcelona.

Totogi MWC26 Padel Logo

Show me the money: why most telco AI fails

In this pre-recorded talk, Danielle Rios challenges the AI hype surrounding MWC and introduces the only test that matters: show me the money.

Integration is not comprehension. AI struggles the moment it moves from pilot to real telco architecture.

The Totogi Ontology changes that. It provides a semantic layer that gives AI true understanding across your telco, enabling operators like Zain to deliver measurable results in production.

Watch the talk, then see it live at MWC26.

meet US at MWC

Book a meeting with Totogi

Book time with Totogi’s leadership team to discuss why AI initiatives stall in telco and how Tier-1 operators are leveraging the Totogi Ontology to turn AI investment into real, measurable outcomes.