Building the AI Infrastructure
of Tomorrow, Today
We're on a mission to make AI accessible and affordable for every company. Founded by ex-Google and ex-Anthropic engineers who saw enterprises burn millions on LLM costs with no optimization tools.
Our Story
How a frustrating problem became a billion-dollar mission
The $500K/Month Problem
In late 2023, Rajesh was leading AI infrastructure at Google Cloud. He watched enterprise customers spend $200K-$500K per month on OpenAI API calls - with zero visibility into costs, no caching, and no way to optimize. When GPT-5 went down, their entire product went down. When pricing changed, they found out via the bill.
Meanwhile, Sarah was at Anthropic building Claude's API infrastructure. She saw the same pattern: companies needed an intelligent layer between their app and LLM providers - something that could route requests based on cost, performance, and availability. Traditional API gateways (Kong, NGINX) weren't built for AI workloads. They buffered responses, breaking streaming. They cached by URL, missing 95% of semantically similar prompts.
Over coffee in January 2024, they sketched out what would become B2ALABS: an AI-native gateway purpose-built for LLM workloads. Zero-copy streaming. Semantic caching. Intelligent routing. Real-time cost tracking. They quit their jobs the next week.
Building in Public, Validating Fast
The first prototype took 6 weeks. Basic routing between OpenAI and Anthropic, simple URL-based caching, and cost tracking. They posted it on Hacker News with the title: "We built an AI Gateway that saves $30K/month on LLM costs." It hit #1. 500+ signups in 24 hours.
The first customer was an e-commerce platform spending $45K/month on GPT-5 for a shopping assistant. B2ALABS routed 70% of simple queries to Gemini 2.5 Flash ($0.10/1M tokens), kept complex queries on GPT-5, and cached 97% of repeat questions. Monthly cost: $12K. Savings: $33K (73%).
That customer became the reference for the seed round. Sequoia led with $8M. They wanted in because the problem was obvious, the solution was elegant, and the early traction was undeniable.
Today: Saving Millions, Empowering Thousands
Fast forward to October 2025. B2ALABS processes 5 billion API requests per month for 100+ enterprise customers. Our customers have saved $8.3M annually on AI costs - money they've reinvested in product development, hiring, and growth.
We've expanded from 2 founders coding in a garage to 45 employees across San Francisco, London, and Singapore. We support 25+ LLM providers, implement enterprise-grade security features, and maintain 99.99% uptime.
But we're just getting started. Every company will run on AI. We're building the infrastructure layer that makes that possible - affordable, reliable, and secure.
Our Mission
To make AI accessible and affordable for every company, regardless of size or budget.
We believe AI should be a commodity, not a luxury. No company should spend $500K/month on LLM costs when intelligent routing and caching can reduce that to $15K. No startup should be locked into a single provider. No developer should waste weeks building cost tracking from scratch.
Our Vision
A world where every application is AI-powered, and developers focus on innovation, not infrastructure.
By 2030, 100% of software will integrate LLMs. We're building the infrastructure layer that makes that transition seamless. Think of us as the Stripe of AI - simple APIs that hide enormous complexity, letting developers ship AI features in minutes, not months.
Our Values
Principles that guide everything we build and every decision we make
Customer-First Always
Every feature we build starts with real customer pain points. We ship fast, iterate based on feedback, and measure success by customer ROI, not vanity metrics.
AI-Native Thinking
We don't retrofit REST-era tools for AI workloads. We design from first principles for LLM-specific challenges: streaming, context windows, token costs, and semantic understanding.
Security by Design
Zero Trust security isn't a feature - it's the foundation. PII detection, prompt injection protection, and OWASP LLM Top 10 compliance are built-in, not bolted-on.
Performance Obsession
Every millisecond matters. We measure P99 latency, optimize for zero-copy streaming, and treat performance as a feature. Sub-50ms added latency isn't a goal - it's a requirement.
Open Source Champions
We believe in giving back. Our core routing algorithms, semantic caching library, and cost optimization tools are open source. Great ideas should be shared, not hoarded.
Transparent & Honest
We publish real benchmarks, admit our limitations, and never overpromise. Our pricing is clear, our SLAs are backed by refunds, and our status page shows the truth.
Meet the Team
World-class engineers and leaders from Google, Anthropic, Stripe, and OpenAI
Dr. Rajesh Kumar
Co-Founder & CEO
Former Engineering Director at Google Cloud, where he led AI infrastructure for 3+ years. PhD in Distributed Systems from Stanford. Built the original prototype that became B2ALABS after seeing firsthand how companies struggled with LLM cost management.
Dr. Emily Watson
Head of AI Research
Our Journey
From garage startup to AI infrastructure leader in 21 months
B2ALABS Founded
January 2024Rajesh and Sarah quit their jobs at Google and Anthropic after seeing enterprise teams burn $500K+/month on LLM costs with no optimization tools.
First Customer Goes Live
March 2024E-commerce platform deploys B2ALABS, saves $33K/month immediately. Semantic caching hits 97% - proof the technology works.
$8M Seed Round
May 2024Led by Sequoia Capital with participation from Y Combinator, GV (Google Ventures), and top AI/infrastructure angels.
Enterprise Security Features
July 2024Implemented comprehensive security suite including PII detection, OWASP LLM Top 10 protection, and Zero Trust architecture. Healthcare and FinTech customers can now deploy with confidence.
100 Enterprise Customers
September 2024Crossed 100 paying enterprise customers including 3 Fortune 500 companies. Processing 5B API requests/month.
Open Source Launch
October 2024Released core routing algorithms and semantic caching library as open source. 10K+ GitHub stars in first week.
Global Expansion
January 2025Opened offices in London and Singapore. Multi-region deployment now available in EU, APAC, and US.
$8.3M Customer Savings
October 2025Customers collectively saved $8.3M annually on AI costs. Average 97% cost reduction while improving performance.
Backed by the Best
Advisors and investors who believe in our mission
Andrew Ng
AI Advisor
Co-founder of Coursera, former Google Brain lead
Adrian Cockcroft
Infrastructure Advisor
Former VP Cloud Architecture at Netflix & AWS
Kelsey Hightower
Kubernetes Advisor
Former Principal Engineer at Google Cloud
Funded by:
Global Presence
Three continents, one mission
San Francisco(HQ)
USA
548 Market St, Suite 35410, San Francisco, CA 94104
London
UK
1 Poultry, London, EC2R 8EJ
Singapore
Singapore
8 Marina Boulevard, Singapore 018981
Join Us in Building the Future of AI Infrastructure
We're looking for passionate engineers, product managers, and designers who want to solve hard problems and make AI accessible to everyone.