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Turn AI Investment
Into Enterprise Value.

Most enterprises are already investing in AI. Far fewer are getting paid back.

Trantor helps identify where AI can create measurable value — and brings the engineering, data, and delivery capabilities to make it real.

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OUR PARTNERS
Anthropic
OpenAI
Cloudflare
Salesforce
google cloud
aws
Adobe
UiPath
PRIME RADIANT™

A Structured Path From AI Ambition to Value

Prime Radiant™ — Trantor's AI Value Playbook. A practical framework to identify, prioritize, build, validate, and scale enterprise AI opportunities.

01

Discover

Where AI can create measurable value

02

Prioritize

Sequence by value, effort, and risk

03

Build

Engineering, data, and delivery together

04

Validate

Prove the outcome before scaling

05

Scale

Governance, reliability, adoption

THREE PRIORITIES

Three Things Must Move Together

Put AI to Work

Embed AI into real workflows using the tools and platforms you already own.

Copilot Agentforce UiPath

Modernize for AI

Remove application, architecture, and engineering constraints that limit AI adoption.

Cloud APIs QA automation

Make Data AI-Ready

Prepare trusted, governed data around the use cases that matter.

Governance Lineage RAG-ready
USE CASES

Where We Create Value

Explore AI Use Cases →
01

Engineering

AI-assisted software delivery and quality engineering

02

Operations

Intelligent workflows and agentic automation

03

Customer Experience

AI-enabled service, support, and engagement

04

Enterprise Knowledge

Trusted access to organizational knowledge

05

Modernization

AI-assisted application and platform modernization

06

Data & Analytics

AI-powered insights and decision support

PROOF

Outcomes, Not Experiments

View Case Studies →
40%

Improvement in engineering productivity

2.5×

Faster delivery cycle

55%

Reduction in manual effort

WHY TRANTOR

Why Trantor

Value First

Start with the business outcome, not the technology.

Proven Playbook

Use Prime Radiant™ to prioritize and scale systematically.

Engineering Depth

AI, applications, data, cloud, QA, and integration under one team.

Build on What You Own

Maximize existing enterprise platforms before adding more technology.

Production Focus

Governance, reliability, adoption, and scale built in from the start.

OUR CUSTOMERS

Trusted by global leaders

Visa
Palo Alto Networks
LendingPoint
Cloudflare
Finning CAT
Archer
Proofpoint
SingleStore
Rubrik
Cohesity
RESOURCES

Thinking on Enterprise AI

ARTIFICIAL INTELLIGENCE

AI Tech Stack 2026: What the Modern Enterprise AI Architecture Looks Like

Read more →
ARTIFICIAL INTELLIGENCE

What Is AI Reasoning? How o1, o3, and Thinking Models Actually Work

Read more →
ARTIFICIAL INTELLIGENCE

Apps Like ChatGPT for Everyday Tasks: Best Picks by Use Case (2026 Guide)

Read more →
MOBILE APP DEVELOPMENT

Top Mobile App Development Tools in 2026: The Complete Updated Guide

Read more →
ARTIFICIAL INTELLIGENCE

AI Agents vs RPA: What Is the Difference and Which Should Enterprises Use?

Read more →
ARTIFICIAL INTELLIGENCE

AI Hallucination: What It Is, Why It Happens, and Real Examples from Enterprise Deployments

Read more →
SOFTWARE DEVELOPMENT

20 Software Development Methodologies Explained

Read more →
ARTIFICIAL INTELLIGENCE

Machine Learning Challenges in Enterprise: Why 87% of ML Projects Never Reach Production

Read more →
WEB DEVELOPMENT

JADE (Java Agent Development Framework) — A Practical Guide for Java Developers

Read more →
SOFTWARE PRODUCT DEVELOPMENT

Stages of New Product Development: The Complete 2026 Guide

Read more →
TECHNOLOGY

What Is Conceptual Design in Engineering? Why It Decides Most of What Happens Next

Read more →
SOFTWARE DEVELOPMENT

Software Project Management Essentials: Key Principles and Best Practices

Read more →

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