Agentic Evaluation & Observability Platform
Enterprise AI Agent Evaluation, Trace-Level Observability, and Continuous Monitoring
Turn Messy Agent Behavior into Measurable Performance
Trace-Level Visualization & Failure Analysis
Segmenting traces and error patterns so you see utility and performance related failures.
Custom, Reusable Rubrics
Human expert- and LLM-judge–based custom rubrics with graded templates for correctness, safety, UX, and compliance.
Human-Reviewed Synthetic Data at Scale
Capture your domain-specific definition of “good” and reuse it across test sets, judges, and alerts.
Auto-Evaluators (LLM-as-a-Judge)
Measure rubrics via LLM-as-a-judge or code-based evaluators for consistent, automated scoring.
Continuous Performance Monitoring
Continuously evaluate production rollouts for regressions in quality, safety, or latency.
Tailored to Your Role.
Product
- Know where agents fail and why, without reading thousands of logs.
- Align stakeholders around clear rubrics for ‘ship / no-ship’ decisions.
- Prove impact of changes with evaluation-driven metrics.
Engineering
- Integrate tracing and evaluation with your existing stack.
- Catch regressions in staging and production before customers see them.
- Automate evaluation via APIs and CI pipelines.
Risk & Compliance
- Codify safety and compliance expectations as rubrics.
- Generate auditable evaluation reports for internal and external stakeholders.
- Continuously monitor for policy violations in live traffic.
Why Innodata vs Typical LLM Observability Tools
Most LLM observability platforms were built for model metrics and application logging, not for regulated agentic workflows that must withstand regulatory, legal, and board scrutiny.
| Area | Typical LLM Observability Tools | Innodata Agentic Evaluation & Observability Platform |
|---|---|---|
| Primary Focus | Token-level metrics, latency, generic quality scores | Agent-level reasoning, tool use, and workflow completion across full lifecycles |
| Configuration Burden | Heavy user configuration of metrics, dashboards, and checks | Pre-configured evaluation system, guided workflows, and expert-supported rubrics |
| Compliance & Audit | Limited or generic audit support | Audit-grade logging with GDPR, HIPAA, SOX experience and exportable reports |
| Business KPI Linkage | Technical metrics loosely connected to business goals | Rubrics co-designed with your teams to mirror operational and financial KPIs |
| Agent Orchestration Coverage | Limited multi-step and tool-using agent evaluation | Deep support for tool-chaining, orchestration quality, and multi-agent workflows |
| Vendor / Model Neutrality | Often tied to a particular stack or ecosystem | Fully model and vendor agnostic across frameworks and AI vendors |
| Services & Advisory | Product only, minimal evaluation design support | Embedded advisory on rubric design, failure analysis, and governance orchestration |
Choose Your Deployment Method
Managed Evaluation Services
Platform-Powered, Expert-Operated
Platform-powered evaluation delivered with white-glove support. Innodata experts manage rubric design, failure analysis, and ongoing optimization using the same infrastructure.
Best for organizations that require accelerated rollout, operate in highly regulated environments, or lack internal evaluation capacity.
Expert-Guided Platform Enablement
Structured Setup and Custom Configuration
Innodata works alongside your team to onboard priority use cases, design domain-specific rubrics, and configure evaluation workflows. You operate the platform. We ensure it is production-ready.
Best for organizations that require custom setup but plan to manage evaluation internally.
Platform License
Self-Managed Evaluation Infrastructure
Full platform access for your AI and data science teams to configure rubrics, run evaluations, monitor agents, and manage governance workflows internally.
Best for enterprises with established AI Centers of Excellence seeking full operational control.
Start with an Evaluation Strategy Session
In a 30-minute consultation, our experts will review your agent roadmap, evaluation approach, and production blockers.
We’ll identify where structured evaluation, KPI-aligned rubrics, and trace-level observability can accelerate deployment — and outline how a tailored walkthrough would look for your environment.
- Expert-led discussion focused on your use case
- Initial assessment of evaluation gaps
- Clear next steps for a customized platform demonstration