Brian Frutchey

During this live webinar we learned how appropriately designed agentic data engineering changes the equation. We also discussed autonomous AI agents can design, build, validate and govern production-grade data pipelines while keeping every decision auditable, every transformation explainable and every cost dramatically lower than AI or manual approaches.

What was covered during this webinar:

• Why chatbot-style AI fails at scale for mission-critical data work

• How Belvedere is a force multiplier for your existing data engineers and IT investments

• Real-world metrics: 5-10x effort and time reduction in pipeline development

• How to maintain IC-compliant auditability, human oversight and policy enforcement while accelerating delivery

• Live demonstration of an agent building and deploying a trusted intelligence data pipeline from raw sources to governed outputs in minutes

Belvedere uses AI agents to build the data pipeline, not to be the pipeline. The agents handle the design work: profiling sources, drafting transforms, and wiring governance. What they produce is a transparent, repeatable pipeline your team can read, audit, and run cheaply.

This walkthrough shows how that plays out for mission operations, starting from raw, fragmented sources, scoping a data contract, and landing a governed data product with lineage and access controls intact.

Want to see it on your own data? Book a demo and we'll tailor it to your environment.

Everyone understands the power of data and its never-ending growth. Yet the amount of time we have to get the data we need stays the same. The "attention economy" is the result… and the most easily available data biases our decisions. The harder it is to gather and interpret data ourselves the more we allow third parties to control what we see. It is no secret that this leaves us open to manipulation. Consumers need to be put back in charge of their own destiny! But general data processing interfaces haven't changed much in decades (all hail SQL) and hoping a question-answering AI won’t hallucinate or be biased itself is asking for trouble – even if you can afford the tokens to process all the relevant data. So how can we reduce the months of work historically required to generate a new, reliable data product to minutes?

Clear Fracture was founded to remove the barriers between users and the right data. We believe AI agents are a huge part of the answer, allowing attention to be scaled through compute. Not enough hours in a day to research deeply? Task an agent to do that work on your behalf. Can't extract a needed insight fast enough from a mountain of data? Direct a swarm of agents to chew through the data at cloud scale to deliver the insight in moments. Worried your opinion or decision is biased? Have agents argue amongst themselves until they reach consensus from all the perspectives represented in available data. When you are in charge of your own AI army, it becomes your armor against manipulation and short-sightedness.