Sapient Slingshot wins Technology Breakthrough of the Year.
Sapient Bodhi ranked #1 for deep research.
Meet Sapient Sustain: context-aware AI for complex IT operations.
3M lines of COBOL → clear specs in 8 weeks.
Slingshot, Sapient Bodhi and Sustain are built to modernize legacy systems, scale agentic solutions and keep complex enterprises running without the fragility, handoffs or human-heavy models.
Ours deliver proof for the world’s largest enterprises.
<p>faster modernization</p>
<p>cost savings</p>
<p>dollars in new revenue unlocked</p>
<p>Enterprises run on decades-old systems that still power the business but were never designed for APIs, real-time data or AI.</p>
<p>With Slingshot, enterprises can modernize legacy code, build and launch new software and transform how they work.</p>
<p>Fragmented tools, vendor lock-in and generic AI that lacks business context make it impossible to move from pilots to secure, compliant production.</p>
<p>With Bodhi, teams can design, deploy and orchestrate agentic workflows with built-in industry and functional context so AI moves from pilot to production faster.</p>
<p>Enterprises spend enormous time and money keeping systems running, yet IT operations remain reactive, expensive and fragile.</p>
<p>With Sustain, support teams can anticipate issues before they happen, resolve them automatically and keep IT systems running efficiently at a fraction of the cost of traditional models.</p>
As the shared context layer behind Slingshot, Bodhi and Sustain, the enterprise context graph helps every platform become more useful, accurate and valuable over time.
Sapient Bodhi earned the #1 spot on the Hugging Face DeepResearch Bench Leaderboard for complex, multi-step reasoning.
Sapient Bodhi earned the #1 spot on the Hugging Face DeepResearch Bench Leaderboard for complex, multi-step reasoning.
A global CPG company used Bodhi to automate content creation to produce more assets faster, cut manual work and support personalization across markets.
<p style="text-align: left;">assets in two months</p>
<p style="text-align: left;">reuse across brands</p>
<p style="text-align: left;">vs. weeks</p>
RWE used Slingshot to modernize an aging application with no documentation, restoring reliability and reducing operational risk in days instead of months.
<p style="text-align: left;">time savings in automated code generation</p>
<p style="text-align: left;">efficiency gains in test creation and unit test setup</p>
<p style="text-align: left;">versus 2 weeks</p>
A health care organization modernized critical legacy systems using Slingshot to cut modernization costs, improve reliability and accelerate delivery of essential digital services.
<p style="text-align: left;">faster migration of legacy applications</p>
<p style="text-align: left;">reduction in modernization costs</p>
Explore short, hands-on demos that show how Slingshot, Bodhi, and Sustain work inside real enterprise scenarios from legacy modernization to agentic workflows to always-on operations.
They solve three hard enterprise problems that block AI at scale: modernizing legacy systems, turning AI into production-ready agentic solutions and keeping technology running efficiently after launch. Bodhi, Slingshot and Sustain each focus on one of those problems.
Each platform has a clear role. Slingshot modernizes and builds software. Bodhi builds and orchestrates agentic AI solutions. Sustain runs and optimizes enterprise technology once it’s live. They can be used independently or together, depending on where an enterprise is stuck.
No. They are built to run inside existing enterprise environments. The platforms work with current systems, data and tooling rather than forcing rip-and-replace migrations or new operating models.
Traditional models rely on large teams and ongoing manual effort. These platforms encode enterprise context and workflows directly into software, allowing systems to modernize, act and operate with far less human overhead.
They are enterprise software platforms. Services exist to help deploy, integrate and scale them in complex environments, but our platforms are what do the work and deliver outcomes.
Yes. Each platform is designed to stand on its own. Many enterprises start with the problem causing the most friction—legacy modernization, stalled AI pilots or rising operational costs—and expand from there.
