Concordance provides a monitoring platform that continuously tracks internal signals of large language model agents to detect persona drift, policy violations, and hallucinations in real time. It surfaces actionable alerts with detailed what‑when‑why information and offers a runtime intervention engine for on‑the‑fly constraints, helping enterprises maintain reliable, on‑brand, and compliant behavior in deployed AI copilots and agents.
Funding
Funding not disclosed
Founders
Product
Problem
Large language model agents often drift from intended behavior, produce hallucinations, or violate policies without obvious errors, making it difficult for teams to detect and address issues in real‑time workflows.
Solution
Concordance offers a monitoring platform that continuously observes internal signals of LLMs to detect persona drift, policy deviation, and hallucination as they occur. The system surfaces actionable alerts indicating what changed, when, and why, enabling rapid investigation. It also provides a runtime intervention engine that lets operators modify generation behavior—such as applying constraints or logit reweighting—without retraining the model. By turning opaque model runs into reviewable evidence, Concordance helps organizations maintain confidence in deployed agents and meet compliance or safety requirements.
Target Audience
Primary customers are teams building enterprise copilots, financial trading agents, and consumer companion systems that require reliable, on‑brand, and policy‑compliant behavior.
Features
- Persona Behavior Monitor that flags off‑brand or confusing outputs by tracking internal model states
- Policy Drift Monitor that detects prompt injection, conflicting instructions, or long‑context confusion even when surface outputs appear normal
- Hallucination Monitor that generates confidence‑adjusted signals to highlight weak grounding or likely false statements
- Runtime Intervention Engine for on‑the‑fly control of generation, including constrained outputs and logit reweighting
- Dashboard with timeline visualizations of drift events and root‑cause diagnostics
- API integration for seamless embedding into existing agent pipelines and workflow orchestration tools