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Avarodh

Zero-Trust AI gateway with DSPy routing & semantic caching

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This is 1 of 107 launches in llm routing and gateway tools — see how it stacks up on momentum and crowding →

117 other launches read as similar to this one →

Details

External ID
1254608
Source
PH
Company
—
Product
Avarodh
Website domain
producthunt.com
Launched
Oct. 6, 2026
Cohort
—
Upvotes
2
Upvotes percentile
0.76
Tags
API, Developer Tools, Artificial Intelligence, GitHub

Description

Most engineering teams deploying LLMs to production face two major roadblocks: skyrocketing API bills from redundant queries, and security audits stalled by unmonitored payloads and prompt injections. Avarodh solves this by acting as a transparent, zero-trust reverse proxy between your application backend and external AI providers: 1) Drop-In Integration 2) DSPy-Powered Firewall 3) Tenant-Isolated Semantic Cache 4) Control Plane & Live Telemetry 5) Privacy-First Supports Cache-Control

Enrichment

Niche
llm routing and gateway tools
Vertical
Security
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
zero-trust ai gateway for llm applications
Manually corrected
False

Could you build this?

Partial Building an API proxy with basic caching is straightforward, but implementing high-throughput, low-latency zero-trust security, real-time prompt injection filtering, and DSPy routing requires advanced distributed systems engineering.

What it would actually take: A production version would require a high-performance proxy layer (e.g., in Rust or Go using Envoy/Pingora), vector database integration for sub-millisecond semantic caching (Qdrant/Milvus), and sophisticated ML pipelines for adversarial prompt injection detection. The primary challenge is maintaining low single-digit millisecond latency overhead while running semantic checks and cryptographic verification across production LLM traffic.

Competitors

Other products that read as similar to this one — 117 launches clear the similarity bar, closest 8 shown.

Attention rank: #24 of 118 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 333 days after the earliest competitor.

Other launches for this product