Top Scorecard Alternatives
Evaluate, test, and deploy enterprise AI agents and LLM apps; measure performance and track improvements across updates.
Looking for apps like Scorecard? Explore similar apps and alternatives, ranked based on their features, categories, and use cases.
Microsoft Copilot Studio
Create, deploy and manage AI assistants that handle natural-language tasks, connect to organizational data, run UI automation or code, and embed agents in apps with testing and analytics.
Hatz AI
Provides a multi-tenant platform to create, customize, and manage AI agents and apps, integrate with services and LLMs, manage data/permissions, and export or embed AI-driven results.
Agenta
Open-source platform to build, test, monitor, and evaluate LLM applications and agents, with prompt versioning, A/B testing, cost/latency observability, tracing, and feedback integration.
Confident AI
Confident AI is a platform for evaluating and monitoring LLM applications, offering tools for testing, benchmarking, and improving model performance with structured workflows.
Fiddler
AI observability and security platform for monitoring, explaining, and governing ML models, LLM apps, and agentic AI systems across development and production.
Utopia
Create and deploy AI agents that use your data to handle support, lead qualification, and cart recovery, with self-service controls for rapid iteration and scalable performance.
Libretto
Monitors AI systems, runs automated tests, sends real-time alerts, and provides diagnostics to track and improve AI performance.
Evalgent
Evalgent is a testing and evaluation platform for voice AI agents that measures performance, reliability, and behavior before deployment.
Syrin AI
Monitors AI agents in production, showing traces, tool calls, and drift, with debugging and remote config changes without redeploying.
Polarity
Polarity tests, monitors, and debugs AI agents in production, tracking traces, failures, and evaluation results across multi-step workflows.
Swarmcheck
Platform for engineering teams to test, monitor, and improve AI features by evaluating AI behavior in chat, RAG, agents, voice, images, and search.
Papaya
Analyzes AI agent traces to identify issues affecting quality, latency, reliability, and cost, then provides evidence-based recommendations and suggested fixes.