Use Cases

Anywhere you need fast, private, cheap embeddings without sacrificing retrieval quality.

Defense & Intelligence

Secure RAG on air-gapped networks

Defense analysts search thousands of sensitive documents on networks with zero external connectivity. EmbeddingAdapters runs entirely on-device, producing embeddings compatible with indexes built by commercial providers.

0
API calls
50ms
Latency
Air-gapped
Deployment
  • Run on secure facilities with zero external connectivity
  • Index during initial setup, query locally in the field
  • Quality routing disabled — everything stays on device
Finance & Trading

Real-time market intelligence at trading speed

Quantitative trading desks search earnings calls, SEC filings, and analyst reports in milliseconds. Every millisecond of API latency is money left on the table.

50ms
vs 800ms API
18K/s
Tokens
99%
Cost cut
  • Ingest earnings transcripts in real-time
  • No rate limits during market hours
  • Proprietary signals stay off third-party servers
High-Throughput RAG

Embed millions of documents in minutes, not hours

Large-scale RAG pipelines bottleneck on embedding API throughput. Rate limits, network latency, and per-token costs make bulk indexing painful. EmbeddingAdapters processes 18,000 tokens/second on a single GPU — embed your entire corpus locally, then query with provider-compatible vectors.

18,000
Tokens/sec
0
Rate limits
$0
Re-index cost
16
Concurrent users
High Security

Provider quality without data leaving your network

Healthcare, government, and regulated industries can't send sensitive data to third-party embedding APIs. EmbeddingAdapters delivers 97% of provider quality entirely on-premise.

0.934
MRR@10 local
HIPAA
Compatible
  • Deploy inside your VPC or on-prem data center
  • Patient records and PII never touch external servers
  • Same format as provider indexes — migrate without re-indexing
Mobile & Edge

Millions of users, millions of questions

Consumer apps with AI search generate massive embedding volume. At $0.13/M tokens with OpenAI, costs explode. EmbeddingAdapters drops that to $0.001/M with the same retrieval quality.

130×
Cheaper
Queries/mo
  • Serve 10M+ queries/month at a fraction of cost
  • No rate limits — handle traffic spikes
  • Backend fits on a single $0.50/hr GPU
Healthcare & Research

Search patient records without sending PHI to the cloud

Medical RAG systems search clinical notes, research databases, and drug interaction data. HIPAA compliance means patient data stays on the hospital network.

  • Embed clinical notes, radiology reports, lab results on-site
  • Cross-reference against PubMed without re-embedding
  • Train domain-specific adapters on medical terminology
Get API key →