Products
Experimental systems and research outputs from Aquilonis AI's applied research efforts.
MiniEmbed
An experimental embedding system exploring efficient, portable model design. Currently under active development, MiniEmbed investigates how to retain strong semantic performance while significantly reducing computational and memory costs. Early findings show potential for substantial model size reduction with 95%+ performance retention.
Edge-Optimized
Designed for deployment in constrained environments.
Efficient Architecture
Novel design choices prioritizing real-world constraints.
Active Research
Continuously refined through experimentation and testing.
Systems-Level Focus
Practical deployment and integration-first thinking.
// MiniEmbed Research
const model = await Aquilonis.loadResearch('miniembed');
const embeddings = await model.embed([
"Efficient representation learning",
"Systems-level AI research"
]);
// Early results under validation...Production Solutions
Battle-tested systems designed for enterprise scale and reliability.
Semantic Search Suite
AvailableProduction-ready semantic search infrastructure with sub-100ms latency at scale. Includes vector indexing, retrieval optimization, and real-time reranking.
AI Data Pipeline
AvailableEnd-to-end data preparation and feature engineering for machine learning. Handles preprocessing, validation, and continuous monitoring.
Model Optimization Services
AvailableCustom quantization, pruning, and distillation services to reduce model size by 60-80% while maintaining performance.
Production AI Monitoring
AvailableReal-time monitoring and debugging of AI systems in production. Detects drift, anomalies, and performance regressions automatically.