Langsmart, an enterprise AI infrastructure company focused on helping large organizations deploy and manage artificial intelligence at scale, announced today that Dev Kewalramani has joined the company’s Board of Advisors.
Kewalramani brings deep experience in enterprise technology, investment strategy, and platform scaling—expertise that aligns with Langsmart’s mission to help organizations navigate the growing complexity of AI adoption. His background spans enterprise software development, strategic partnerships, and advisory roles across emerging AI technologies.
According to industry analysts, enterprises are facing an escalating “AI sprawl” problem: multiple model providers, fragmented tools, escalating costs, and tightening regulatory requirements. Langsmart aims to address these challenges with an infrastructure layer designed to bring governance, performance, and cost control to enterprise AI systems.
A Strategic Addition During a Critical Phase for Enterprise AI
“Dev’s addition to our advisory board comes at a pivotal moment for enterprise AI,” said Craig Alberino, CEO of Langsmart. “His technical expertise and strategic investment insight will be invaluable as we continue scaling our Smartflow platform to meet rising demand for enterprise-grade AI infrastructure.”
Kewalramani has a track record of identifying transformative opportunities in AI and investing in foundational technologies. His experience working with both early-stage and enterprise-scale companies positions him to support Langsmart’s next stage of growth.
“The enterprise AI transformation is accelerating faster than most organizations can manage,” said Dev Kewalramani. “Langsmart’s infrastructure approach—spanning traffic routing, caching, and compliance—addresses the biggest challenges I see across the enterprise landscape, especially around cost efficiency, performance, and regulatory alignment.”
Tackling Core Enterprise AI Challenges
Enterprises adopting AI at scale often encounter similar roadblocks:
Rising compute and model costs
Fragmented model and provider integrations
Latency and performance bottlenecks
Expanding regulatory obligations
Difficulty scaling pilots into production systems
Langsmart’s Smartflow platform provides a unified infrastructure layer designed to support these needs through:
A centralized gateway for routing AI traffic across providers
Caching and performance optimization mechanisms
Governance and compliance controls for regulated environments
Vendor-neutral architecture to avoid lock-in and support evolving model ecosystems
The platform is designed to help organizations streamline operations without requiring application-level code changes—an important consideration for large enterprises managing complex application stacks.
Positioned for a Rapidly Expanding Market
With the global AI market projected to grow from $244 billion to more than $900 billion by 2030, enterprises are prioritizing investments that make AI deployments more predictable, cost-effective, and compliant. Infrastructure layers that manage orchestration, governance, and performance are emerging as critical components of enterprise AI strategy.
Langsmart aims to serve as this operational foundation, helping businesses modernize their AI stacks and move prototypes into production with greater reliability.
About Langsmart
Langsmart is an enterprise AI infrastructure company that provides intelligent AI pipelines for businesses through its flagship Smartflow platform. The company’s unified gateway allows teams to access and manage multiple AI models and tools through a single interface. Smartflow offers vendor-neutral routing, cost optimization through caching, performance improvements, and integrated governance, serving as the infrastructure layer that makes enterprise AI scalable and practical for both Fortune 500 companies and growing organizations.