---
title: "Twilio Inc."
category: "companies"
aliases: ["Twilio Inc."]
website: "https://www.twilio.com/en-us/ai"
sourceLabels: ["Official speaker roster", "Official conference schedule", "Public company site", "Automated company profile fetch"]
---
# Twilio Inc.

## Overview
Twilio Inc. is represented at AI Engineer World's Fair 2026. Its public site describes it this way: Twilio joins artificial intelligence (AI) with contextual data and trusted communications to drive personalized customer engagement at scale.

## Background
The official speaker roster connects Twilio Inc. to Kanish Manuja. The public company site was discovered by domain-guess and fetched for homepage metadata.

## Conference Relevance
Twilio Inc. matters to this wiki through 1 official speaker(s) and 1 scheduled session(s), including: Productionizing LLM Gateways: Architecture, Tradeoffs, and Hard Lessons from the Trenches.

## Conference Sessions
- [[2026-06-29-kanish-manuja-productionizing-llm-gateways-architecture-tradeoffs-and-hard-lessons-from-the-trenches]] - Productionizing LLM Gateways: Architecture, Tradeoffs, and Hard Lessons from the Trenches (2026-06-29, 2:25pm-2:45pm)

## Connections
- [[kanish-manuja]] - Principal Software Engineer

## Sources
- [Twilio](https://www.twilio.com/en-us/ai)

## Evidence Graph
This evidence graph summarizes how this organization appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-06-29-kanish-manuja-productionizing-llm-gateways-architecture-tradeoffs-and-hard-lessons-from-the-trenches|Productionizing LLM Gateways: Architecture, Tradeoffs, and Hard Lessons from the Trenches]]

### Media Signals
No linked video, transcript, or slide source has been attached yet.

## Notes
- Automated company profile fetch status: fetched.

## Evidence Boundary
Official roster and schedule facts are treated as canonical for conference participation. Public company sites, documentation, and professional profiles are supporting context used to explain what the organization does and why it is relevant.