Provable AI
TigerGraph connects the relationships across enterprise data, giving AI the context to reason and the evidence behind every answer.
Trusted by global enterprises
<100 ms
10+ hop reasoning across billions of relationships
600%
ROI, Forrester TEI
>90%
Accuracy achieved across GraphRAG applications
>80%
Fewer tokens on average
The Context Gap
But the meaning often lives in the relationships between it.
TigerGraph connects people, identifies, accounts, devices, transactions, documents, products, policies, and events so AI can reason over connected reality, not isolated records.
Retrieving relevant information is not the same as
understanding how it is connected.
TigerGraph gives AI the relationships behind the data, revealing what is connected, why it matters, and the evidence behind the answer.
Relationships reveal what isolated records cannot: how people, identities, accounts, devices, transactions, documents, and events connect across the enterprise. TigerGraph turns those relationships into real-time context AI can reason over.
TigerGraph follows relationships to assemble the connected evidence AI needs to reason, making answers more precise, explainable, and defensible.
Documents that mention the answer.
The relationships and evidence behind it.
Enterprise AI needs more than an answer. It needs evidence.
Models generate answers. TigerGraph connects those answers to the relationships and evidence behind them.
Follow each answer to its sources.
See why AI made that decision.
Verify the evidence and controls.
Back your decisions with evidence.
Relationship Intelligence
TigerGraph delivers the real-time relationship intelligence, reasoning, provenance, and control required for AI operating in complex, regulated enterprise environments.
AI Agents / Applications
Relationships 
Reasoning 
Control 
Provenance 
Data 
Events 
Documents 
Streams Native MPP architecture built for AI decisions at enterprise scale.
10B+
Relationships
Billions of connected data points
10+
Hops
Multi-hop reasoning
<100 ms
Response time
Real-time queries
As AI moves from answering questions to taking action, governance cannot be added afterward.
Provenance
Policy enforcement
Fine-grained security
ACID compliance
Enterprise controls
Leading enterprises trust TigerGraph where AI decisions carry financial, operational, and regulatory consequences.
Fraud
Detect connected fraud rings across accounts, identities, merchants, devices, transactions, and locations in real time with decisions that can be explained, audited, and defended.
Identity
Connect fragmented identities across accounts, devices, addresses, businesses, transactions, and records, giving AI a continuously connected view of who and what it is evaluating.
AI + GraphRAG
Retrieve the relationships and evidence behind the answer, not just documents that mention it.
Personalization
Understand customer relationships, behaviors, affinities, and intent in real time to power AI-driven recommendations and personalized experiences at enterprise scale.
Supply Chain
Map supplier dependencies across multi-hop relationship networks to identify hidden risk, operational bottlenecks, and cascading disruptions before they impact the business.
50%
more risk events detected
“Using graph-based features, our model shows an amazing improvement in detecting 50% more risk events and also improving model precision by 50% at the same time.”
45 min
supply chain planning, down from three weeks
“With TigerGraph we can join sources of data together and make connections within the data that previously we couldn’t. We can now answer questions that, for the last 20 years, we didn’t think were possible to ask.”
3.5 hrs
to ingest data that took other vendors 7 hours
“One of the reasons why we chose TigerGraph was performance – TigerGraph was the only company that could ingest our data in 3.5 hours, while the other companies would take 7 hours.”
Native MPP architecture for billions of relationships.
Security, provenance, policy enforcement, and auditability.
Reason over connected data as events happen.
AWS, Azure, GCP, Kubernetes, and on-premises.
APIs, SDKs, streaming platforms, cloud infrastructure, and AI orchestration frameworks.
Give enterprise AI the relationships, context,
and evidence behind every decision.
Join thousands of developers and data scientists using TigerGraph’s to solve complex problems with connected data.
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