Jade Global built its business in the unglamorous gaps between enterprise systems. Now it is turning that integration muscle into AI agents, data-readiness tools, and managed operations for companies that cannot afford a messy handoff.
Long before nearshoring became a boardroom buzzword, Softtek built an international IT business around proximity. Now the Mexican company is testing whether that human advantage can survive an agentic turn.
Xoriant spent three decades doing the unglamorous engineering beneath enterprise software. Now a private-equity-backed acquisition run is turning that foundation into a broader bet on applied AI, modern platforms and the testing required to trust them.
The technology-services firm is betting that enterprise AI will be won in the unglamorous middle - where old applications, governed data and new autonomous agents must actually work together.
The Pittsburgh systems integrator is betting that the hard part of enterprise AI is not the model. It is the unglamorous work of fitting intelligence into old systems, guarded data and everyday operations - then keeping it running.
EPAM sells something large companies routinely struggle to buy: advice that survives contact with the codebase. Its global teams pair consulting, design and industry knowledge with the engineers needed to ship and run the result.
SAIC is the technology company hiding in plain sight behind American missions - stitching cloud, AI, cyber and engineering into systems where failure is measured in more than lost clicks.
Cognizant built a $21.1 billion business by doing the unglamorous work behind modern companies. Now it wants to own the last mile between an impressive AI demo and a system a bank, hospital or factory can actually trust.
From Chennai, Apptomate sells the unglamorous but essential work of turning aging systems, AI experiments and software ideas into production platforms. Its pitch is less about one magic product than becoming the engineering bench a client does not have in-house.
Grid Dynamics (NASDAQ: GDYN) is a digital engineering and technology consulting firm that helps Fortune 1000 companies modernize software platforms, build cloud-native systems, and deploy AI and generative-AI solutions. Founded in 2006 out of a Silicon Valley open-source engineering community, the company blends product engineering, data engineering, and digital-engagement services, with a particular strength in retail, financial services, and consumer-facing commerce. It reported record 2025 revenue of $411.8 million and employs roughly 4,900 people across the Americas, Europe, and India.
DBOS, Inc. is a San Francisco- and Cambridge-based developer infrastructure company commercializing durable execution technology born from a joint MIT-Stanford research project led by Postgres creator Michael Stonebraker and Apache Spark creator Matei Zaharia. Its flagship open-source library, DBOS Transact, adds crash-proof workflow orchestration and built-in observability to ordinary Python and TypeScript programs by persisting application state in Postgres, so software resumes exactly where it left off after a failure - without a separate workflow server. The company pairs the library with DBOS Conductor and DBOS Cloud for managing and hosting reliable backends, AI agents, and long-running workflows.