Platform
One platform. Focused products.
Every Disvania product is built on a shared retrieval platform designed for document complexity, operational scale, and production reliability.
01 — Retrieval engine
Retrieval engine
Parsing, normalization, embeddings, indexing, query routing, and citation mapping — configured per domain, shared across products.
- Multi-format parsing and normalization
- Automatic metadata extraction and enrichment
- Adaptive document segmentation and chunking
- Custom embedding generation and vector indexing
- Keyword indexing and hybrid retrieval
- Reranking, query routing, and context assembly
02 — Scale
Scale
Distributed ingestion, partitioned indexes, incremental updates, and resilient job processing — designed for collections that grow.
- Distributed ingestion pipelines for large collections
- Partitioned and sharded indexes for isolation and throughput
- Parallel embedding generation with incremental updates
- Queue-based processing with idempotent, versioned jobs
- Caching, latency tuning, and automatic resilience
03 — Reliability & trust
Reliability & trust
Citation mapping, evaluation tooling, feedback loops, and monitoring — built in so teams trust what the products tell them.
- Source-level citation mapping for every answer
- Built-in evaluation datasets and retrieval quality metrics
- Human feedback loops and drift monitoring
- Failure handling and operational safety controls
- Security-hardened for enterprise deployment
Stack
What's inside
The platform combines best-of-class components configured for enterprise document intelligence.
Products
See the platform in action
The platform powers focused products for legal intelligence and knowledge retrieval.