Experimental
Intelligence
Where we pressure-test architectures, build internal frameworks, and explore the boundaries of deterministic AI.
Bitemporal Fact Store Implementation
KEOS Intelligence Architecture
Our core research into multi-layer compounding intelligence. Implementing Three-Layer Knowledge Graphs and bitemporal fact modeling for deterministic enterprise retrieval.
Hybrid RRF Retrieval
Optimizing Reciprocal Rank Fusion (RRF) to orchestrate high-dimensional vector search, graph traversal, and metadata filtering into a single verified context.
Tiered Extraction Pipeline
A hierarchical extraction framework (spaCy → GLiNER → NuExtract) designed to maintain semantic precision while optimizing LLM indexing costs.
Empirical Rigor
We value reproducible results over probabilistic predictions. Every experiment is measured against clear evaluation criteria.
Modular Research
Our R&D is modular, allowing us to deploy specific technical breakthroughs into client systems without entire stack overhauls.
Rapid Production
Lab experiments that yield reliable results feed back into our KEOS research framework.
Note: Dextar Lab content is intended for high-level technical overview. Specific in-house logic and underlying mathematical frameworks are intellectual property of Dextar and protected under active development protocols.
Partner on an Experiment
We collaborate with technical teams to solve specialized data bottlenecks. Bring us your hardest engineering challenges.
Initiate R&D Collaboration