Kana raised $15M seed led by Mayfield for agentic AI marketing platform. SF-based startup uses AI agents for precision audiences, AEO, real-time analytics, and campaign optimization targeting DTC brands, retailers, and agencies. (147 characters)

Portkey Raises $15M Series A for GenAI Stack

Portkey raised $15M Series A for production stack with AI Gateway, observability & guardrails for 250+ LLMs. Powers 3,000+ GenAI teams processing 14B+ tokens daily, tracking $93M spends.

Emel Kavaloglu

Feb 19, 2026

Portkey Raises $15M Series A for GenAI Production Stack

Portkey, a provider of production infrastructure for GenAI builders, has raised $15M in Series A funding. The platform delivers an AI Gateway, observability, guardrails, prompt management, and governance tools. These enable reliable deployment of AI applications with unified access to 250+ LLMs, including caching, intelligent routing, PII redaction, and real-time monitoring. The capital will scale its unified control plane for production AI.

GenAI Production Tools Gain Momentum

The timing aligns with GenAI's transition from experimentation to production-scale deployment. Portkey already powers 3,000+ GenAI teams and processes over 14 billion LLM tokens daily. Its GitHub repository has garnered 10.2K stars, signaling strong developer interest in comprehensive LLMOps solutions.

LLM Fragmentation Challenges Enterprises

AI developers grapple with a fragmented ecosystem of hundreds of LLMs from providers like OpenAI, Anthropic, and others. Enterprises face escalating costs and risks, with Portkey tracking $93M in LLM expenditures across customers. Without unified gateways, teams struggle with inconsistent performance, data privacy vulnerabilities, and opaque spending—issues amplified as usage hits billions of tokens monthly. Traditional point solutions fail to integrate observability, security, and routing into a seamless stack.

Portkey's Unified Stack Addresses Gaps

Portkey's AI Gateway provides a single entry point to 250+ models, optimizing requests via caching and semantic routing to cut latency and costs. Observability tracks metrics like latency, costs, and errors in real-time, while Guardrails enforce PII redaction, rate limiting, and RBAC for compliance.

Recent additions like the Prompt Engineering Studio and MCP Gateway extend capabilities to agentic workflows and Model Context Protocol tools. HIPAA compliance, GDPR readiness, and hybrid deployment (SaaS control plane with self-hosted gateway) make it enterprise-ready.

Unlike siloed tools, Portkey's full-stack approach—spanning gateway, monitoring, and security—streamlines production GenAI for Fortune 500s like Perficient and pharma firms.

Series A Validates Production Shift

This $15M Series A underscores investor confidence in LLMOps infrastructure as GenAI matures. The funding supports expansion amid explosive growth: 2 billion requests processed in August 2024 alone and a 2,000-member community. It positions Portkey to deepen enterprise penetration, where reliable, observable AI is no longer optional.

Developer Adoption Signals Market Surge

Portkey's open-source contributions, like its LLM pricing dataset drawn from $93M in tracked spends, highlight transparency needs in a market rife with opaque pricing. With 10.2K GitHub stars and daily token volumes rivaling major providers, it reflects a broader trend: AI teams prioritizing production reliability over raw model access.

The GenAI infrastructure space shows robust demand, as evidenced by Portkey's rapid scaling to serve startups, enterprises, and educational institutions. As agentic AI and multi-model apps proliferate, unified platforms like Portkey's will define winners in the shift to scalable, governed deployments.

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