

As generative AI becomes central to business differentiation, one of the biggest challenges organisations face is not building models — it’s deploying, monitoring and running them reliably at production scale. That’s the problem Portkey is solving.
Founded in January 2023 by seasoned product engineers Rohit Agarwal and Ayush Garg, Portkey provides a full-stack LLMOps platform designed to help AI teams go from prototype to production with reliability, governance, observability and cost control baked in.
The company has quickly gained attention for addressing the often-overlooked infrastructure layer of GenAI — enabling teams to integrate 1600+ large language models through a single unified API while managing routing, security, prompt workflows and performance metrics.
Portkey’s AI gateway abstracts the fragmentation of multiple AI model providers (e.g., OpenAI, Anthropic, Google Gemini, AWS, and open-source LLMs) into a single API interface, making it easier for developers to:
This unified layer dramatically reduces engineering overhead that typically comes with building and supporting multi-provider GenAI use cases.
In production AI systems, visibility matters. Portkey provides deep observability:
This is especially useful when managing many models or high-traffic enterprise applications.
Effective deployment requires robust guardrails:
These features help enterprises adopt AI responsibly while maintaining control and transparency.
Portkey’s platform also includes tools for prompt versioning, testing, tuning and evaluation — enabling teams to measure and improve responses, minimise hallucinations and optimise outputs over time.
Portkey was co-founded by Rohit Agarwal and Ayush Garg in 2023, inspired by real challenges they faced building and scaling AI systems at previous companies. Their vision was clear: modern AI apps shouldn’t struggle with infrastructure hurdles — the infrastructure should adapt to developers’ needs.
In 2025, Portkey raised $15 million in a funding round led by Elevation Capital, with participation from Lightspeed and other investors. This backing underscores growing confidence in its AI infrastructure mission and is earmarked to expand product development and global go-to-market efforts.
Portkey’s platform is already trusted across a range of organisations, from startups to large enterprises, helping teams:
With support for rigorous security standards and compliance features, even regulated industries can bring AI into workflows with confidence.
Journalist:
Portkey solves the production gap in GenAI — turning experimental prototypes into scalable, enterprise-ready applications without reinventing the wheel.
Product Engineer:
The platform saves developers time by centralising model access, observability, governance and prompt management — all crucial for long-term AI reliability.
Investor:
Infrastructure for AI is emerging as a major category as adoption grows. Portkey’s strong product focus and institutional funding validates this market opportunity.
Operator:
Teams adopting GenAI at scale need visibility, cost control and governance — and Portkey provides these core capabilities in a unified suite.
Most organisations build AI features without thinking beyond prototype — until they hit performance or governance walls. Portkey shifts that dynamic by making it easy to deploy, monitor, secure and scale AI applications with production-grade reliability.
As AI integrates into more business critical workflows — from customer support to internal automation — platforms like Portkey will become essential infrastructure rather than optional add-ons.