AI should not only understand data — it should understand relationships.
Most AI systems are good at understanding text and generating answers, but many real-world problems depend on how things are connected.
DeepGraph brings Graph + GNN + LLM together:
• LLM understands the question • Graph connects the evidence • GNN predicts patterns and risks • AI Agent orchestrates the analysis
You can ask a question in natural language, and DeepGraph can plan the analysis, query relationships, run graph algorithms and GNN models, trace evidence, and generate an explainable result.
We're starting with relationship intelligence and risk analysis, but the underlying platform is designed for much broader use cases.
We're still early, and we'd really like to hear from the Product Hunt community:
What problems would you solve if AI could reason over relationships in your data?
Replies
We built DeepGraph around a simple idea:
AI should not only understand data — it should understand relationships.
Most AI systems are good at understanding text and generating answers, but many real-world problems depend on how things are connected.
DeepGraph brings Graph + GNN + LLM together:
• LLM understands the question
• Graph connects the evidence
• GNN predicts patterns and risks
• AI Agent orchestrates the analysis
You can ask a question in natural language, and DeepGraph can plan the analysis, query relationships, run graph algorithms and GNN models, trace evidence, and generate an explainable result.
We're starting with relationship intelligence and risk analysis, but the underlying platform is designed for much broader use cases.
We're still early, and we'd really like to hear from the Product Hunt community:
What problems would you solve if AI could reason over relationships in your data?