data pipelines

Airbyte Adds Semantic Search and Governance for AI Agents

Airbyte Adds Semantic Search and Governance for AI Agents

Airbyte has added semantic search and fine-grained entity policies to its Agents platform, enabling AI agents to retrieve enterprise knowledge by meaning while respecting existing security controls. The announcement targets two of the most common blockers for production agent deployments: incomplete context access and inadequate governance. ECI Research data shows data leakage and pipeline complexity are top concerns for enterprises scaling AI on modern infrastructure.

Airbyte Adds Semantic Search and Governance for AI Agents Read More »

Agentic AI Inference Costs: Why Cheaper Tokens Aren't Enough

Agentic AI Inference Costs: Why Cheaper Tokens Aren’t Enough

HeyDonto CEO Rivers Morrell contends that agentic AI costs at least five times more per task than basic chatbot interactions, and that data fragmentation makes it worse. ECI Research examines the economics, the limits of the semantic layer argument, and what enterprise buyers should actually prioritize. The answer is more nuanced than the aerodynamics metaphor suggests.

Agentic AI Inference Costs: Why Cheaper Tokens Aren’t Enough Read More »

Airbyte Agents: Context Infrastructure for Production AI Agents

Airbyte Agents: Context Infrastructure for Production AI Agents

Airbyte has launched Airbyte Agents, a context infrastructure layer that pre-replicates enterprise data into a unified, search-optimized index before AI agents run. The product targets the data reliability failures behind most agent production breakdowns, not model quality. ECI Research analyzes what this means for enterprise AI buyers and engineering teams building on MCP and custom SDKs.

Airbyte Agents: Context Infrastructure for Production AI Agents Read More »