Your RAG pipeline
is full of noise.
We fix that.
Jetty AI transforms raw web data into a governed, trust-scored AI knowledge layer — delivered directly into your infrastructure. Stop building data pipelines. Start building AI products.
Six stages. One governed knowledge layer.
Every document that enters Jetty AI passes through a deterministic, auditable pipeline. Nothing reaches your vector database without earning its place.
Click any stage to learn more
See what Jetty does to your data.
Pick your industry. See the before and after. This is exactly what we deliver.
Your wellness assistant hallucinates clinical claims because your vector DB mixes blog posts, Reddit threads, and peer-reviewed studies with zero differentiation.
We apply clinical evidence grading (RCT > observational > anecdote) as trust scores. Your RAG queries can now filter: only use sources with trust_score > 80.
Exactly what you get.
Not a dashboard. Not a SaaS tool. A governed knowledge layer delivered directly into your infrastructure — three concrete components.
A clean, deduplicated, semantically-chunked vector database (Pinecone, Milvus, or Weaviate) — 80–90% smaller than your raw data, with every chunk carrying trust_score and provenance_id metadata.
// Query with trust filter
const results = await vectorDB.query({
vector: embed(query),
filter: { trust_score: { $gte: 80 } },
topK: 10
});A custom trust scoring model trained on your domain. For healthcare: clinical evidence grading. For finance: source authority scoring. For legal: court hierarchy and citation weight.
// Every chunk has trust metadata
{
"chunk_id": "doc_4821_chunk_3",
"text": "...",
"trust_score": 94,
"source_type": "peer_reviewed",
"provenance_id": "pubmed:38291847",
"ingested_at": "2026-05-10T14:22:00Z"
}A dedicated API endpoint that automatically processes any new data you send. New URLs, PDFs, or database exports go through the full pipeline and land in your vector DB — governed, scored, and ready.
// POST /ingest — send any URL or text
curl -X POST https://api.jetty.ai/ingest \
-H "Authorization: Bearer YOUR_KEY" \
-d '{"url": "https://pubmed.ncbi.nlm.nih.gov/..."}'
// Response
{ "status": "queued", "job_id": "jb_9x2k..." }Why not just use Tavily?
Tavily is a flashlight. We are building the library. The market is full of "search at query time" tools. Nobody is selling a pre-built, governed, AI-ready knowledge layer — until now.
| Company | Category | What They Do | What They Don't Do |
|---|---|---|---|
| Tavily | Search API | Real-time web search for agents | No persistent knowledge store, no trust scoring, no dedup |
| Exa AI | Neural Search | Fast semantic web search ($85M raised) | Ephemeral search only — no governed memory layer |
| Firecrawl | Scraping API | URL → clean markdown for LLMs | No pipeline, no governance, no trust scoring |
| Sequentum | Enterprise Scraper | Low-code enterprise web scraping | Operational governance only — not AI knowledge trustworthiness |
| Jetty AI | Knowledge Infra | Governed, trust-scored AI knowledge layers delivered into your infra | ✓ This is exactly what we do |
Enterprise infrastructure pricing.
We are not a $30/month SaaS tool. We are the data infrastructure layer beneath your AI product. Priced accordingly.
For teams with existing RAG systems drowning in noise.
- Full historical data cleanup (up to 1TB)
- Continuous ingestion pipeline (1M docs/month)
- Standard trust scoring
- Provenance tracking
- SLA: 99.9% uptime
- Dedicated Slack channel
For regulated industries that need custom trust models and full auditability.
- Everything in Clean & Maintain
- Custom domain trust scoring model
- Up to 5M documents/month
- Compliance-ready audit logs
- Dedicated support engineer
- Quarterly model retraining
All plans include a 30-day data quality guarantee. If we don't reduce your storage by at least 60%, you don't pay the setup fee.
Your team shouldn't be building
data pipelines from scratch.
We spent a year building and optimizing this pipeline for our own wellness AI product. Now we're productizing it for every AI company that needs clean, governed web data. Let's talk.