Enterprise search engine builds
End-to-end search over your own corpora: connectors, analysis, permissions-aware retrieval and an admin surface your team owns.
Apache LuceneElasticsearchSolr
Accepting new engagements
Search infrastructure that holds at the tenth million document.
We design and build high performance enterprise search engines, real-time document indexing platforms and retrieval layers for AI products — then hand over architecture your own team can operate.
StackApache LuceneElasticsearchOpenSearchSolrKafkaPulsarFlinkPostgresGoJavaKubernetes
Pipeline
From event to answer
Every hop is somebody's latency budget. We work across all five, and most engagements start in the middle.
01
Sources
Databases, object stores, CMS, logs, web crawlers and third-party APIs, captured with change data capture.
Debezium · CDC · Crawlers · S302
Streaming
Backpressured ingest with replay, schema contracts and idempotent writes.
Kafka · Pulsar · Flink03
Document indexing
Analysis chains, enrichment and embedding generation on the way into a high performance, Apache Lucene-backed index.
Apache Lucene · Elasticsearch04
Retrieval
Hybrid lexical and dense recall, filtered, fused and reranked under a latency budget.
BM25 · HNSW · RRF05
Serving
Query APIs, caching, tenancy and the dashboards that tell you when quality drifts.
gRPC · OpenTelemetryServices
Engagements we take on
Real-time indexing pipelines
Event-driven ingest that keeps the index seconds behind the source, with replay and schema safety built in.
KafkaPulsarCDC
Vector, semantic and RAG retrieval
Hybrid retrieval that actually beats keyword baselines — chunking, embeddings, reranking and an evaluation harness.
EmbeddingsHybridReranking
Live demo
Search across organizations, each owner in control.
SEIR (Sovereign Enterprise Information Retrieval) is the live demo of Sovereign Search: one search across the records of several organizations, while each organization keeps control of its own data and decides who may see what. It runs on synthetic records, with spelling-tolerant search across scripts.
Open the SEIR demo →Symptoms
The four things that break
If two or more of these sound familiar, a short review is usually the cheapest next step.
01
Relevance nobody can measure
Ranking changes ship on opinion because there is no judgement set and no offline evaluation.
02
Indexing that falls behind
Batch reindexing at midnight cannot serve a product that promises freshness in seconds.
03
Vectors bolted on sideways
A separate embedding store, no hybrid scoring, and results that disagree with keyword search.
04
A cluster nobody can operate
Shard layout, replication and query cost were decided once and never revisited.