The agent for people who can’t take AI at its word.
Every observation the Kineviz agent makes stays connected to the source data behind it, so your analysts can check the work themselves.
Trace every finding to its source.
Each observation the agent makes is a claim about your data, and every claim arrives with the records that support it. Select a finding and see exactly which nodes, edges, and fields it drew from.
Your analysts review the evidence, not just the summary. They can confirm a finding, challenge it, or throw it out — with the source data right in front of them.
Built for work that has to hold up.
Law enforcement, fraud investigation, intelligence, compliance. If you can’t defend it in front of a judge, you can’t use it. The trail from conclusion back to source has to be complete.
That’s the standard the agent is designed around. Every step it takes is recorded, and every conclusion is traceable.
Analysis and applications, in plain language.
Conversational analysis
Describe what you want to see. The agent runs the analysis, builds the model, and draws the visualization in your graph — filtering, community detection, time-series charts, whatever the investigation needs.
You: Show me every account within two hops of the flagged wallet, colored by transaction volume.
Application development
The agent builds inside Kineviz, too. Custom interfaces, dashboards, workflows, and reports — tools shaped to your team’s investigation, ready to use, no engineering ticket required.
You: Build a triage dashboard for new alerts, with a one-click case report.
Frequently Asked Questions
What is Kineviz Agent?
Kineviz Agent is an AI agent for data analysis built for people who can't take AI at its word. Every observation it makes stays connected to the source data behind it, so analysts can check the work themselves. It performs conversational graph analysis and builds custom applications — dashboards, workflows, and reports — inside Kineviz. The Community edition is free, with a Pro upgrade for power users.
How can I trust the findings of an AI data analysis agent?
Trust comes from verifiability: every claim should arrive with the evidence behind it. Kineviz Agent treats each observation as a claim about your data, rather than a statement of fact, and delivers it with the supporting records — select a finding and see exactly which nodes, edges, and fields it drew from. Analysts review the evidence, not just the summary, and can confirm, challenge, or throw out any finding.
How do you prevent AI hallucinations in investigative data analysis?
The most reliable safeguard is source traceability — requiring every AI observation to link back to real records. Kineviz Agent is designed around this: every observation stays connected to the original data behind it, every step it takes is recorded, and every conclusion is traceable. Instead of trusting a summary, analysts inspect the source data each finding drew from. The upshot: audits go quickly, because every conclusion presents its own evidence.
Is there an explainable AI tool for fraud investigation and compliance?
Yes — Kineviz Agent is built for law enforcement, fraud investigation, intelligence, and compliance, where findings must hold up to an evidentiary standard. If you can't defend it in front of a judge, you can't use it, so the agent records every step it takes and keeps a complete trail from each conclusion back to the source data that supports it.
What can an AI agent do for graph and network analysis?
An AI agent can run analyses you describe in plain language. With Kineviz Agent, you ask for what you want to see — for example, "show me every account within two hops of the flagged wallet, sized by transaction volume and colored by transaction type" — and it runs the analysis, builds the model, and draws the visualization in your graph, handling filtering, community detection, and time-series charts.
Can an AI agent build dashboards and reports without engineering help?
Yes. Kineviz Agent builds applications inside Kineviz through plain-language requests — custom interfaces, dashboards, workflows, and reports shaped to your team's investigation, with no engineering ticket required. For example, you can ask it to "build a triage dashboard for new alerts, with a one-click case report" and get a ready-to-use tool for your analysts.
What does it mean for an AI agent to "show its work"?
An AI agent shows its work when every step of its reasoning is recorded and every output links to the underlying data. Kineviz Agent is built this way for investigative work: each observation arrives with the records that support it, analysts can trace any finding to its source nodes, edges, and fields, and nothing reaches a report unverified by human eyes.
AI-assisted analysis vs manual investigation: do analysts stay in control?
With Kineviz Agent, yes — the agent accelerates the work while analysts keep final judgment. It moves fast at finding connections, tracing paths, and surfacing anomalies, but every step is visible and every finding comes with its supporting evidence. Analysts confirm, challenge, or discard each observation with the source data in front of them, meeting the standard investigative work demands.