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Seltz

Seltz offers a Web Knowledge API that supplies high‑quality, filtered web context optimized for large language models, AI agents, and retrieval‑augmented generation pipelines. The service ranks and ranks relevant web signals to deliver concise, source‑backed information with low latency and predictable performance, and can be integrated via Python, Node.js, or cURL in minutes.

San Francisco, United StatesFounded 2025131K+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Large language models and autonomous AI agents need up-to-date web information that is reliable, efficiently retrievable, and formatted for machine reasoning. Existing web search services are built for human consumption, add latency, and often expose raw, noisy results that hinder real-time inference and increase operational risk.

Solution

Seltz offers a Web Knowledge API that extracts, filters, and ranks web content specifically for AI workloads. The service continuously crawls the public web, processes pages to remove irrelevant clutter, and shapes the remaining signals into concise, source‑backed documents optimized for retrieval‑augmented generation and agent reasoning. An end‑to‑end pipeline owned by Seltz ensures predictable latency, scalable throughput, and full data‑sovereignty, allowing customers to run the API in their own cloud or on‑premise. Developers can integrate the API in minutes via Python, Node.js, or cURL and receive structured results with provenance metadata, enabling fast, auditable access to web knowledge without relying on third‑party wrappers.

Target Audience

Primary customers are AI product teams, LLM platform providers, and enterprises building autonomous agents or RAG pipelines that require reliable, machine‑ready web context.

Features

  • Continuous web crawling with real‑time freshness guarantees
  • Context‑engineered filtering and ranking to deliver only the most relevant signals for LLMs
  • Structured output including source URLs and excerpt metadata for traceability
  • Predictable low‑latency performance at scale, backed by a dedicated infrastructure
  • Enterprise‑grade security and privacy controls, including BYOC deployment options
  • Simple SDKs for Python, Node.js, and cURL with built‑in pagination and result limits
  • Flexible query parameters (date range, domain allow‑/blocklist) for fine‑grained retrieval
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