Launching today

TokenLens AI

Launching today

Enterprise AIOS Gateway & Semantic Cache to Stop Token Bleed

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Enterprise AIOS Gateway & Semantic Cache to Stop Token Bleed

5 followers

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An enterprise-grade, edge-optimized AI Gateway that intercepts LLM traffic to automate cost optimization, security, and uptime. Features asynchronous billing reconciliation, 98% semantic vector caching for $0.00 calls, PII scrubbing firewalls, and regional georouting.

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Launch tags:Fintech•SaaS•Development

Launch Team

FramerLaunch websites with enterprise needs at startup speeds.

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Maker

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Hey Product Hunt! I’m Navin, and over the last 20 years, I’ve managed $30M global application delivery and cloud infrastructure portfolios for Fortune 500 financial giants like Moody’s and Wells Fargo. Lately, I’ve watched engineering teams face a brand new corporate crisis: The AI Hangover. Between runaway multi-agent loops, massive API token overruns, and unexpected data compliance risks, unoptimized AI has turned from an efficiency play into an unpredictable financial and security liability. That’s why I built and deployed TokenLens AI (https://tokenlens.co.in/). It is a zero-trust, enterprise-ready AI Operating System and Developer Gateway designed to actively govern and optimize your AI infrastructure at the runtime layer. No marketing hype, no fabricated metrics—just pure, battle-hardened architectural surfaces running live at the edge. 🛡️ What’s under the hood? Asynchronous Processing: Our high-performance proxy handles API streams natively at memory speed. Transaction records are offloaded out-of-band to Inngest event queues for background cost math, causing exactly zero latency overhead for your users. Smart Semantic Caching (PGVector): Intercepts incoming prompts and matches repetitive queries against a strict 98% similarity matrix to serve responses locally in under 12ms—driving your transaction costs down to exactly $0.00. PII & Secret Detection Firewall: Scans and redacts exposed sensitive data (emails, credit cards, SSNs, JWTs) and hard-blocks leaked corporate API keys before they hit public LLM providers. Resilient Circuit Breakers: Automatically detects provider rate limits (HTTP 429) or regional cloud outages, autonomously rerouting traffic to backup models (Claude 3.5 Sonnet, GPT-4o, or local instances) to preserve 99.99% system availability. Data Sovereignty Georouting: Restricts API keys to explicit regions (EU / US / Global) to natively enforce strict localized data residency compliance. CFO Budget Guardrails: Sets hard daily/monthly financial and token caps per key, shutting down infinite loops before they trigger a budgetary crisis. Deep Observability UI: A beautiful, dark-mode DevOps dashboard featuring a live Trace Timeline Inspector showing cache hits, routing delays, and provider latency millisecond-by-millisecond. 🔌 Developer-First Integration We want integration friction to be absolute zero. In our newly launched Developer Hub (/developers), we’ve shipped native, drop-in SDK wrappers for both Node.js (@tokenlens/sdk) and Python (tokenlens), alongside a management REST API for automated Infrastructure-as-Code (IaC) pipelines using Terraform or Helm. TokenLens AI is fully operational, open-core, and running live. I’d love to hear your feedback, answer any deep architectural questions, and learn how your teams are tackling LLM scaling challenges this year. Let’s orchestrate your compute spend! Check it out live: 👉 https://tokenlens.co.in/

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1d ago

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1d ago

The "Hard Operational Truth"

Let s be completely honest for a minute: The initial "AI Honeymoon" phase is officially over, and companies are starting to wake up to a massive AI Hangover.

Runaway multi-agent loops, compounding API token fees, and unexpected credit card drains are forcing boards to rethink how they deploy LLMs. I ve seen early-stage startups accidentally burn through a $5k cloud credit grant in a weekend because of a faulty recursive prompt script.

As engineering teams scale, the traditional approach of just dropping an API key into a basic wrapper isn't sustainable anymore. We need active governance, semantic cache deflection to hit $0.00 processing steps, and resilient multi-provider circuit breakers running natively out-of-band.

I want to hear from the community:

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