TrueFoundry, a pioneering AI deployment and scaling platform, has successfully raised $19 million in Series A funding. Led by Intel Capital, the round saw participation from Eniac Ventures, Peak XV’s Surge (formerly Sequoia Capital India & SEA), Jump Capital, and angel investors including Gokul Rajaram, Mohit Aron, and executives from Fortune 1000 corporations. With this investment, Avi Bharadwaj, Investment Director at Intel Capital, will join TrueFoundry’s board of directors.
The exponential rise of generative AI has brought recent challenges for enterprises trying to deploy machine learning models at scale. Governance, data privacy, and infrastructure costs have turn out to be critical roadblocks, often delaying AI implementation. TrueFoundry’s platform addresses these challenges, enabling corporations to deploy, manage, and scale AI applications seamlessly, efficiently, and securely.
TrueFoundry was founded by Abhishek Choudhary, Anuraag Gupta, and Nikunj Bajaj, a team of industry veterans from Meta and IIT Kharagpur. Their extensive experience in deep learning models and large-scale infrastructure management led to the event of a state-of-the-art platform as a service (PaaS), built to eliminate AI deployment bottlenecks and streamline machine learning workflows.
said Nikunj Bajaj, CEO & Co-founder of TrueFoundry.
TrueFoundry offers a unified Platform as a Service (PaaS) that empowers enterprise AI/ML teams to construct, deploy, and manage large language model (LLM) applications across cloud and on-prem infrastructure. Designed with a developer-first interface, the platform simplifies AI deployment, allowing full-stack data scientists to independently create, test, and scale applications. Key features include model cataloging, fine-tuning, API deployment, and advanced governance tools that bridge the gap between DevOps and MLOps.
A 12 months of Growth and Industry Adoption
TrueFoundry’s funding announcement follows a yr of remarkable milestones:
- 4X year-over-year growth in customer base
- 1,000+ AI/ML clusters deployed across enterprise clients
- Partnerships with Siemens Healthineers, ResMed, Automation Anywhere, Games24x7, and NVIDIA
The corporate has delivered 10X faster business value for patrons while significantly reducing infrastructure costs. As an illustration, NVIDIA leveraged TrueFoundry to optimize GPU usage for LLM workloads, cutting costs and improving efficiency through automated resource allocation and job scheduling.
said Avi Bharadwaj, Investment Director at Intel Capital.
AI Managing AI – The Way forward for Scalable AI Infrastructure
With a complete of $21 million in funding, TrueFoundry is accelerating its mission to eliminate infrastructure bottlenecks for enterprises deploying AI at scale. The investment will probably be used to expand its team and strengthen go-to-market strategies to drive broader adoption.
said Abhishek Choudhary, CTO & Co-founder of TrueFoundry.
Delivering Speed, Cost-Efficiency, and Security
TrueFoundry’s platform has redefined AI deployment with features that prioritize speed, performance, and cost-efficiency:
- 5-15X Faster Iteration Cycles – Optimized Docker builds, seamless VSCode integration, and rapid resource switching.
- Enterprise-Grade Performance – Dynamic batching for ML models, 3-5X faster cold starts, and autoscaling with image streaming and model caching.
- 30-80% Cost Savings – Smart resource orchestration between spot and on-demand instances, inference optimizations, and granular cost tracking.
- Security and Compliance – SOC 2, HIPAA, and GDPR-certified platform with role-based access control, audit trails, and SSO integration.
Looking ahead, TrueFoundry is about to introduce its AI Agent, a self-sustaining system that anticipates and adapts to AI workflows. By automating resource management, workflow optimization, and proactive issue resolution, enterprises will give you the option to scale AI faster and with greater efficiency than ever before.
