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Sapient Slingshot

Automate the entire software development lifecycle

Sapient Slingshot is our AI platform for automating and accelerating the software development lifecycle (SDLC). With Slingshot, enterprises can modernize legacy code, build and launch new software and transform how they work.

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Check out Slingshot in action

Slingshot’s key features

These features bring context, speed and precision to every build.

Learn from our engineers

Publicis Sapient engineers demonstrate how they use Slingshot to develop, test and deploy front and back-end solutions.

Capabilities that transform the SDLC

  • Full lifecycle modernization

    Accelerate legacy system transformation with AI-led automation from discovery to deployment.

  • AI-augmented development

    Streamline design, coding, testing and deployment with AI assistants and specialized agents.

  • Continuous delivery

    Automated DevOps, observability and self-healing operations to ensure applications stay compliant and optimized.

Proven enterprise outcomes

Learn how leading organizations use Slingshot to modernize existing code and ship new software.

The Impact

3x

faster migration

30%

cost reduction

 

The Problem

A leading healthcare benefits provider needed to modernize 10,000+ COBOL and Synon mainframe screens to improve claims processing and customer service. Traditional modernization methods had converted only ~10 percent of screens in three years, leaving high technical debt, slow workflows and frustrated teams

Our solution

With Slingshot, the provider uncovered hidden business rules and dependencies, enabling faster, safer migrations. Automated test generation sped up QA while reducing manual errors.

Industries

Health

Platform

Slingshot

Partner

Microsoft

Region

North America
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The Impact

35-45%

time savings

30-40%

efficiency gains

 

The problem

RWE Generation Ltd, one of Europe’s leading energy producers, faced a growing operational risk: a number of aging, undocumented applications were running on outdated technology stacks. These systems were essential to operating power plants, but impossible to update, scale or understand without extensive cost, risk, effort and downtime.

Our solution

Slingshot, paired with human oversight, helped RWE revive a 24-year-old app with no source code or documentation in two days, turning a critical legacy asset into a modern, maintainable foundation.

Industries

Energy & Commodities

Platform

Slingshot

Use Case

Legacy Modernization

Region

Global
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Slingshot supports every stage of the software development lifecycle

FIGURE 01 Diagram depicting the seven steps of the software development lifecycle: 01-Planning and sprint management, 02-Requirement analysis and backlog generation, 03-Architecture and design, 04-Development and code generation, 05-Quality automation, 06-Deployment, 07-Support and run.

Explore Slingshot’s platform architecture

Our platform architecture connects AI assistants, specialized SDLC agents and a persistent enterprise context graph with a governed technical foundation.

This infographic shows the layered Sapient Slingshot ecosystem, from core AI infrastructure to enterprise context, agent capabilities and AI assistants working together to support intelligent delivery.

Slingshot FAQs

What leaders want to understand before committing Slingshot to the enterprise.

Slingshot is an AI platform that automates and accelerates the entire software development lifecycle. It breaks down legacy systems, preserves critical business logic and generates accurate, production-ready code — while also supporting the build and launch of new software. Slingshot replaces fragmented tools and manual handoffs with a single, continuous system for modernizing and delivering software at enterprise scale.

Slingshot reads existing code to extract rules, dependencies and specifications before anything is rebuilt. That logic is carried forward through code generation, testing and deployment so modernized systems behave exactly as intended. This approach reduces guesswork, limits rework and avoids the common failures of rewrite-from-scratch modernization.

AI coding tools assist individual developers. Slingshot modernizes and delivers software at the system level. Slingshot carries enterprise context across discovery, design, build, test and deployment. It is built for large, tightly coupled systems where accuracy, traceability and governance matter — not just faster code completion.

Yes. Slingshot supports both legacy modernization and net-new software development on the same platform. Teams can modernize existing systems while simultaneously building and launching new applications, without waiting for long transformation programs to finish. This allows enterprises to keep shipping while legacy systems catch up.

Enterprises use Slingshot to reduce modernization timelines, cut manual effort and improve delivery reliability across the SDLC. Common outcomes include 40% higher productivity, up to 50% savings in modernization costs and 99% code-to-spec accuracy. Modernize 10 years of legacy code in just four years.