Acceldata, the market leader in agentic data management, has announced AI Observability, a solution that brings observability for LLM and agentic AI applications to Acceldata's xLake Data & AI Platform. AI Observability traces every prompt, model call, tool invocation, and retrieval step, continuously evaluating outputs to ensure they are correct, reliable, and aligned with user intent.
Acceldata introduces AI Observability for LLM and agentic AI applications on xLake platform.
Traces every prompt, model call, tool invocation, and retrieval step with continuous evaluation.
Governs and traces AI across hybrid estate (on-premises and clouds) without requiring data consolidation.
80% of C-level leaders at $5B+ enterprises run hybrid architectures; 75% run four or more data platforms.
Features include full execution tracing, traceback to data source, continuous evaluation, and cost visibility.
Integrates with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, ADK, OpenAI, and Anthropic.
AI reliability now turns on reach. Acceldata governs and traces AI across a hybrid estate, on-premises and across clouds, without first requiring the data to be consolidated in one place. That reach does two things at once: it makes agents safe to put into production, and it lets enterprises build agents against data they could never centralize. While tracing and evaluating agents is becoming standard, governing them wherever the data lives is not. The solution adds to the data quality, lineage, and pipeline monitoring the platform already provides.
Two factors set Acceldata's approach apart. First, Acceldata governs and traces an agent wherever the data lives, across a hybrid estate of on-premises and cloud, so organizations can trust the agents they run and build new agents with confidence. The hybrid estate is now the default: in a C-level survey, 80% of 40 leaders at $5 billion-plus enterprises run hybrid architectures and 75% run four or more data platforms at once. Second, an agent failure and the data behind it sit in one console. On the same platform that monitors data quality, lineage, and pipelines, a team can follow a failing trace back to the data product or pipeline that produced it.
AI Observability includes full execution tracing with thread, trace, and span structure across prompts, model calls, tool calls, retrieval, and agent steps. Traceback to the data source shares one console with data quality, lineage, and pipeline views. Continuous evaluation scores production traffic and runs regression and model comparison. Feedback and dataset flywheel treats datasets as first-class objects. Cost and performance visibility tracks token usage, cost, latency, and error trends. Governance and runtime safety includes sensitive data detection, configurable masking, policy checks, and audit of AI usage. Broad framework coverage includes integrations across LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, ADK, OpenAI, and Anthropic.
"The top blocker to enterprise AI is fear of ungoverned agents and data. Acceldata removes it with the introduction of AI Observability to the xLake Data & AI Platform," said Rohit Choudhary, Acceldata founder and CEO. "Now you can govern and trace AI wherever your data lives, on-premises or across clouds, which lets you build agents against data you could never centralize. Governance becomes the reason you can do more with your data, not less."
"Tracing and evaluating agents is becoming standard; what matters is what a failure connects to," said Ashwin Rajeeva, Acceldata co-founder and CTO. "We connect it to data quality, pipeline health, lineage, and compute across a hybrid estate, on-premises and cloud, on the platform teams already run for data observability."
About Acceldata
Founded in Campbell, Calif. in 2018, Acceldata is the pioneer of cross-lake data platform architecture. Its xLake Data & AI Platform supports every stage of the data lifecycle, on any platform, bringing compute to where the data lives and ensuring data trust by unifying data quality, governance and observability into an intelligent, AI-driven fabric. Trusted by Fortune 500 companies worldwide, Acceldata empowers businesses to unlock the full potential of their data in the AI era. Customers include Dun & Bradstreet, PubMatic, PhonePe (Walmart), HCSC and more. Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, Prosperity7 and Emergent Ventures.
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