VectorAmp gives regulated companies answers they can prove. SABLE is the filter-native retrieval engine driving VectorAmp. We help teams connect scattered business data and trace answers back to their sources.
Patent pending.
We serve product builders embedding AI search and knowledge-centric businesses whose retrieval must respect access rules and trace answers back to evidence.
We do not think of VectorAmp as a chat UI with a database attached. The retrieval layer, the data plane, and the answer experience have to be designed together.
Most vector databases were retrofitted with metadata filtering after the index already existed. VectorAmp is built around governed retrieval: predicates, tenancy, and citations are part of the query path instead of a cleanup step after nearest-neighbor search.
A retrieval product is only useful if users can trust it under real workloads. We care about tail latency, ingestion backpressure, and explainable failures as much as the happy-path demo.
Embedding, retrieval, ranking, citations, and generation are not independent chores. VectorAmp is designed as one system so product teams can connect sources, search them, and build AI workflows without stitching together a dozen brittle services.
A technically correct query plan that burns too much compute is still a bug. We design for predictable usage, explicit limits, and the operational visibility teams need before they scale.
SDKs, APIs, CLI behavior, errors, and docs are part of the system. If developers cannot understand what happened, the database did not do its job.
Our engineering spans the complete path from your source data to the answers and applications your teams rely on.
VectorAmp starts from the premise that modern AI systems need governed retrieval, not a generic vector index bolted onto an application stack.
The SABLE index is our high-performance engine for filter-native retrieval at large scale.
The product wraps ingestion, datasets, citations, search, and AI-assisted workflows around that core.
We are focused on teams that need their own data to answer questions safely, quickly, and with enough context to trust the result.
We bring database engineering, applied AI, and developer experience together to solve the demanding retrieval challenges of enterprise teams.
SABLE is the center of gravity: filter-native indexing, shard routing, persistence, and retrieval performance.
VectorAmp connects source data to answers with citations and workflow surfaces that make retrieval useful inside product teams.
The platform is meant to be built on. SDKs, docs, API behavior, and operational clarity are treated as first-class product work.
If you are trying to make internal knowledge, product data, or customer-facing answers reliable, we want to hear what you are building.