You can use Graphen to build and deploy advanced graph-based artificial intelligence systems across various industries. It combines dynamic graph databases, automated machine learning, and cognitive computing to tackle complex enterprise challenges. You can design new molecular drug candidates, detect financial fraud, predict loan risks, and run predictive maintenance on automotive systems. Graphen also provides interactive digital humans for customer assistance, smart energy grid monitoring, and network cybersecurity tools to defend against sophisticated cyber threats.
What Graphen does
Frequently asked
Want a tailored answer?
See whether Graphen fits your stack.
Techbible weighs Graphen against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare Graphen
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in AI Orchestration & MLOps
All tools →CrewAI
Build and run autonomous multi-agent workflows using visual canvases or Python code
Arize AI
Monitor, trace, and evaluate large language model applications
PySpur
Build, test, and deploy AI agent workflows using code or visual drag-and-drop interfaces
Twelve Labs
Enables developers to build applications that understand video.
AgentOps
Track, debug, and monitor AI agents and large language model interactions
Composio
Connect AI models and agents to external apps and developer tools
Weights & Biases
Helps AI developers track and manage machine learning experiments.
Buster
Build internal agents and automate complex company workflows