Solutions

Inputless DB

Inputless Graph Database. Graph-native-first, cognitive-first. Every answer traced to a subgraph.

Exclusive Features Specification

  • •Load documents without ETL. Ingest content directly—no manual pipelines or transformation steps. Inputless DB accepts documents as-is and builds the graph from them.
  • •Graph is automatically constructed and reported. The system builds and maintains the graph from your data and surfaces it in the Graph Explorer—no hand-built schemas or manual mapping.
  • •Graph correlation report automatically connects data. Connections between entities, topics, events, and documents are discovered and reported automatically, so relationships and explanations are always up to date.
  • •Scales to petaflow. Built to handle petabyte-scale data flow and throughput. Inputless DB is designed for enterprise and intelligence workloads where volume and velocity demand petaflow-grade capacity.
  • •Built for airgapped environments. Deploy in fully isolated, offline, or high-security networks. No dependency on public cloud or external APIs—sovereign intelligence where connectivity is restricted or prohibited.

Design principles for exclusivity

Five principles that make Inputless DB a different kind of graph database for RAG and cognitive systems.

Anticipation over reaction

Features that predict or precompute what will be needed, not just answer when asked.

Cognitive as first-class

Intent, patterns, and mental state are primary dimensions of the graph and of retrieval—not secondary filters.

Graph-native explanation

Every answer and decision can be traced to a subgraph; explanation is a query, not a log.

Unified behavioral + semantic

Same graph and same APIs for "what was said" and "what was done"; similarity over both.

Bounded and transparent

Contracts (time, node budget, confidence) are explicit and first-class.

Graph Explorer in action

Inputless DB's Graph Explorer: trace answers to subgraphs, explore node types and relationships, and see cognitive and behavioral data in one unified view.

Inputless DB CLI (TUI) — API status, graph summary, system CPU/RAM, workload and latency

Inputless DB CLI: terminal UI for monitoring API health, tenant usage (nodes/edges), graph totals, system resources (CPU/RAM), and CLI workload with latency and transfer metrics.

Graph Explorer — Query result with nodes and edges, node properties panel

Graph Explorer: query result with Document, Entity, Topic nodes and CONTAINS_ENTITY, HAS_TOPIC relationships. Click a node to view details and trace explanations to the subgraph.

Graph Explorer — Legend, filters, and relationship types

Node types (Document, Entity, Event, Topic) and relationship types (CONTAINS_ENTITY, HAS_TOPIC, INVOLVES, LOCATED_IN, MEMBER_OF, etc.) in one unified graph—behavioral and semantic in the same APIs.

Graph Explorer — Full graph with organizations, events, topics

Full graph view: organizations, events, topics, and entities (e.g. Acme Corp, Board Meeting Q3, Strategic Planning). Transparent scope (node/edge counts) and cognitive-first dimensions.

Explanation is a query, not a log

With Inputless DB, every answer and decision can be traced to a subgraph. Explore the graph, filter by label and relationship, and inspect node properties—all with the same APIs and the same graph for what was said and what was done.

Deploy Inputless DB