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Digital Engineering

Data to Decisions with
Intelligent Experiences

Orchestrating impactful decision journeys through data, AI and design

While Others Talk AI. We Got the Crown.

“We were impressed by Tredence’s vision of enabling the last mile of analytics, leveraging best-in-class Azure accelerators, proven on Fortune 500 companies, throughout the data & AI modernization journey. They uniquely help expedite the platform build while simultaneously proving business value through rapid deployment of prioritized strategic AI/ML use-cases."

Tunc Ozcan

Director of Data Analytics, Loyalty, Market Research

Human-centric, AI-augmented decision experiences to amplify productivity and enable impactful outcomes

Craft seamless decision journeys by unifying data, insights, and actions enabling consistent, contextual, and personalized experiences across all user touchpoints.

In today’s enterprise landscape, decision-makers are overwhelmed by fragmented dashboards, disconnected systems, and siloed workflows—leading to delays, reduced accuracy, and inconsistent actions.

Traditional decision systems are passive. They highlight trends but fail to guide next steps. Without human-centric design, users are left interpreting signals instead of acting on contextual, actionable insights.

To stay competitive, enterprises must evolve from fragmented tools to unified, intelligent decision experiences. The future demands systems built on probabilistic modeling, real-time orchestration, and human-centered design—delivered on a cloud-native, scalable, and resilient foundation.

As data and AI ecosystems grow more complex, organizations need a digital engineering approach focused on two pillars: a human-centric, AI-augmented layer that simplifies how users interact with insights, and a secure, cost-aware infrastructure that powers high-performing decision systems at scale.

Data to Intelligent Decision Experience (D2DX) by Tredence transforms enterprise data into intuitive, guided decision journeys—across dashboards, multi-channel apps, AI agents, and APIs—to deliver faster, smarter outcomes.

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The Convergence of AI and Data Modernization

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Customer Intelligence at Scale

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Engineering AI-led decision journeys across design, development, infrastructure, and experience layers

Our Digital Engineering Services help enterprises build guided decision journeys across design, application, and infrastructure layers. We bring together multi-channel product development, scalable GenAI integration, and secure platform engineering to deliver human-centric, AI-augmented experiences that enhance productivity and drive meaningful outcomes. With API-first architecture and cost-aware cloud infrastructure, we build agile, intelligent tech stacks. Tailored for modern data and AI ecosystems, our services enable faster, smarter decisions across dashboards, agents, and workflows—delivering measurable business impact.

Product Strategy and MVP

In the world of data, AI, and GenAI platforms, building the right product isn’t just about technology—it’s about aligning with real user needs, organizational context, and long-term value. This service enables organizations to define, validate, and de-risk AI-powered product ideas—from intelligent apps to agentic platforms—through strategic, user-centered MVPs.

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UX for AI

Designing for AI is not just about usability—it’s about building trust, clarity, and continuous feedback between humans and intelligent systems. Our UX for AI service helps you craft thoughtful, responsible, and adaptive interfaces for GenAI platforms, multi-agent systems, and AI-driven decision workflows.

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Solution Engineering

We build secure, scalable, and intelligent solutions that drive enterprise decision-making. From multi-channel decision apps to GenAI implementations, we combine robust architecture with deep integration expertise. Our API-first, cloud-native approach ensures speed, resilience, and extensibility—powering modern, high-performance systems that transform complex requirements into enterprise-grade digital solutions, at scale.

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Infra for AI

We help enterprises build secure, scalable, and cost-effective infrastructure to operationalize AI. Our Infra for AI services offer AI-ready landing zones, governed multi/hybrid-cloud environments, and scalable architectures for ML, GenAI, and LLM workloads along with performance-optimized compute, Responsible AI frameworks, and governance models to ensure AI-native, future-ready cloud infrastructure.

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DevOps

Our DevOps Engineering service helps teams deliver software faster, safer, and more reliably using automation-first, cloud-native practices. We build CI/CD pipelines, implement infrastructure-as-code, embed security, and modernize operations to support scalable, AI-driven platforms—enabling continuous delivery, efficient infrastructure management, and operational excellence across hybrid, cloud, and on-prem environments.

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Accelerator-driven digital engineering for faster, smarter, scalable enterprise-grade innovation

Purpose-built accelerators form the backbone of our digital engineering approach, infusing speed, scalability, and intelligence into every layer. From cloud landing zones and click-to-deploy GenAI foundations to UI-to-code automation and cost governance tools, these accelerators reduce time-to-value, simplify complexity, and empower teams to build, scale, and optimize faster than ever.

RapidXD

Rapid XD is our upcoming AI-powered UI-to-Code accelerator that transforms UI designs—whether uploaded as images or described through text prompts—into production-ready React code. With real-time previews and seamless GitHub export, it helps teams accelerate UI development and ship high-quality interfaces in days, not weeks.

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ATOM.AI

Accelerate development by 50% with our GenAI-powered playbook engine. Leverage prebuilt code templates, embedded governance, and seamless GitHub Copilot integration to streamline builds. Designed for modern engineering teams, it transforms dev cycles into guided, automated sprints—turning ideas into production-grade code faster than ever.

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Empower teams with decision apps built on data and expertise

3500+

data, AI, and technology architecture experts

300+

certified cloud practitioners

100+

decision apps delivered to Fortune 100 clients

< 12

weeks for more than half of these apps

95%

SLA compliance on 30 productionized apps