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Production Monitoring & Dataset Flywheel

Catch weak behavior in production.
Turn it into better tests.

Track quality, token use, cost, latency, and errors in production. Turn weak traces into alerts, reviews, and stronger regression tests.

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Solution Brief

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Turn production signals into a continuous improvement loop.

Runtime observability across every project

Track cost, token usage, latency, errors, and trends by project, model, prompt version, and environment. See drift and cost creep as they start.

Online evaluation on live traffic

Score production traces automatically for relevance, groundedness, safety, and other built-in or custom criteria. Keep the evaluator's reasoning on the trace.

Token analytics and optimization

Attribute token usage and cost to each request, model, prompt version, and project. Compare efficiency across prompts and models before spend compounds.

Threshold alerting with trace context

Set thresholds for quality, safety, cost, latency, and error rate. Route alerts with the underlying trace ready to investigate.

Human feedback and annotation queues

Send low-scoring or flagged traces to structured review. Use reviewer labels, scores, and feedback to target prompt and model improvements.

Production-fed dataset flywheel

Promote real traces including failures into evaluation datasets. Turn customer behavior into durable regression coverage and verify fixes across versions.

Flywheel & Feedback

Production-fed dataset flywheel

Promote real traces including failures into evaluation datasets. Turn customer behavior into durable regression coverage and verify fixes across versions.

Human feedback and annotation queues

Send low-scoring or flagged traces to structured review. Use reviewer labels, scores, and feedback to target prompt and model improvements.

Threshold alerting with trace context

Set thresholds for quality, safety, cost, latency, and error rate. Route alerts with the underlying trace ready to investigate.

Cross-project comparison

Compare behavior across projects, models, prompts, and versions. Spot cost creep, quality regressions, and model drift before they compound.

From live request to stronger regression coverage in four steps.

Connect

Stream production traces through the same instrumentation used in development, with no reimplementation between environments.

Score

Run online evaluators and runtime checks continuously. Attach quality, safety, cost, latency, and error signals to each trace.

Triage

Trigger threshold alerts, route weak traces for review, and give responders the full execution context behind every issue.

Promote

Add reviewed failures to evaluation datasets, test the fix offline, and begin the next release with stronger real-world coverage.

Built on open standards

No lock-in, no parallel systems. Works with the frameworks you already use, the observability stack you already run.

LangChain

LangGraph

LlamaIndex

OpenAI

Anthropic

CrewAI

AutoGen

Google ADK

Why Acceldata AI Observability

Observe the agent on the same platform that already watches your data quality, pipelines, and lineage.

Agent & LLM Tracing

Capture every conversation as threads, traces, and spans across prompts, models, retrieval, handoffs, and tools. Debug the exact step that failed.

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Prompt & Evaluation Management

Version prompts, compare models, run offline regressions, and apply the same evaluators to production traffic.

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AI Guardrails & Governance

Detect sensitive data, apply policy checks, control access and retention, and preserve audit-ready evidence.

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Dominate with Data

40%

reduction in pipeline
downtime

30%

faster time-to-model
deployment

25%

lower cluster costs

99.9%

SLA adherence on
migrated workloads

Ready to get started

Explore all the ways to experience Acceldata for yourself.

Expert-led Demos

Get a technical demo with live Q&A from a skilled professional.

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30-Day Free Trial

Experience the power of Data Observability firsthand.

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Meet with Us

Let our experts help you achieve your data observability goals.

Products

Catch weak behavior in production.Turn it into better tests.

Turn production signals into a continuous improvement loop.

Flywheel & Feedback

From live request to stronger regression coverage in four steps.

Built on open standards

Why Acceldata AI Observability

Dominate with Data

Why Acceldata

Ready to get started

Expert-led Demos

30-Day Free Trial

Meet with Us

Catch weak behavior in production.
Turn it into better tests.