Inferarc
Inference-First Graph Memory

Enterprise data contradicts. We catch it first.

Ingest knowledge with full provenance. Reason across organizational boundaries. Surface contradictions automatically — so every AI-driven decision comes with an auditable trail.

Drag to rotate. A live knowledge graph with conflict detection.

11

API Endpoints

<50ms

Avg Latency

100%

Audit Coverage

Real-time

Conflict Detection

Designed for teams who need auditable AI

Acme CorpNexus LogisticsGlobexVertex AIOrion Labs

The problem with AI memory today

Most organizations rely on approaches that were never designed for enterprise-grade reasoning.

Traditional RAG

Treats every document as an isolated chunk. No notion of time, no awareness of contradictions between sources, and no way to trace why a particular fact was surfaced.

Static Knowledge Graphs

Hand-curated ontologies freeze your knowledge at build time. They require constant maintenance, cannot represent conflicting viewpoints, and break silently as teams evolve.

Recommended

Inferarc

An inference-first graph memory that ingests facts with full provenance. It reasons across the graph in real time, detects semantic conflicts automatically, and gives your team an auditable trail.

Dashboard Preview

Reason, detect, resolve — in one interface

The Inferarc dashboard brings multi-hop reasoning, conflict detection, and temporal diffing into a single pane of glass. No context switching between tools.

Multi-hop graph traversal with confidence scores
Real-time conflict flagging across departments
Temporal audit trail for every fact
Try it now
inferarc.dev/dashboard
Why did vendor pricing change?
Reasoning Result
CONFLICT3 hops0.92 conf
ENG
conflict
SALES
GRAPH

How Inferarc works

Three core capabilities that turn your organizational knowledge into a living, auditable graph.

t0t1t2src:Asrc:Bsrc:Cdept: eng

Temporal Knowledge Ingestion

Every fact is linked to its source document, ingestion timestamp, and originating department. Nothing enters the graph without provenance.

hop 1hop 2traversal depth: 3

Multi-Hop Reasoning

Graph traversal finds hidden dependencies across your organization -- surfacing connections that no single team would discover on their own.

v1.2v1.3semantic conflictauto-flagged

Semantic Conflict Detection

Automatic alerts when data contradicts itself. Inferarc compares new facts against existing knowledge and flags inconsistencies before they reach production.

The Decision Audit Problem

Across every enterprise, departments make decisions in isolation. When those decisions contradict each other, the cost surfaces months later.

01

Engineering

Deprecates Feature_A

The engineering team marks Feature_A as deprecated in the internal knowledge base, effective next quarter.

02

Sales

Promises Feature_A to a prospect

A sales representative, unaware of the deprecation, includes Feature_A in a proposal sent to a key enterprise prospect.

03

Inferarc

Flags the conflict

Inferarc detects the semantic contradiction between the deprecation record and the sales proposal, alerts both teams, and provides the full audit trail.

Built for enterprise reasoning

Every capability is designed for teams that need trust, traceability, and conflict awareness.

Per-User Isolation

Every user gets their own knowledge graph. Data never mixes between organizations.

Memory Recall

Intelligent context retrieval ranked by temporal recency and relevance scoring.

Predict & Explain

Forecast entity states and get plain-English explanations with source citations.

Bulk Ingestion

Ingest hundreds of documents in a single batch with automatic entity extraction.

Temporal Diff

Track how any entity's properties change over time with full audit trail.

Conflict Resolution

Resolve contradictions with authoritative source selection and reasoning.

Developer-first API

Every operation is accessible via REST. Ingest data, reason across the graph, detect conflicts, and export results — all programmatically.

View all endpoints
api-example.sh
# Multi-hop reasoning query
curl -X POST /api/reason \
-d '{"query": "Why did pricing change?", "depth": 3}'
# Response includes reasoning path + conflicts
{ "answer": "...", "confidence": 0.92,
"conflicts": [{"eng": "v1.2", "sales": "v1.3"}],
"reasoning_path": ["vendor→contract→pricing"] }

Start reasoning over your data

Connect your knowledge sources, let Inferarc build the graph, and surface contradictions before they reach your customers.