Failed data load?Let’s find out why.
We set up AI agents that investigate failed AWS and Snowflake loads, then run only the fixes you enable in YAML.
We build it, set it up, and help you run it.
Built with Hermes for AWS & Snowflake
Less log hunting.
More useful answers.
A failure alert is a starting point. The agent follows the evidence and brings back an explanation your team can act on.
Spot the failure
Watch the logs you choose for signs of a failed load.
Follow the evidence
Hermes checks the relevant logs and data within the access you allow.
Recover with your rules
Your YAML controls the fixes. The agent learns from incidents and suggests new playbooks for you to enable.
A data load stopped. Here’s why.
Illustrative report, not a live incident.
- What happened
- A record contained text where a number was expected, so the load failed.
- The evidence
- The error log and the input record point to the same value.
- Suggested next step
- Correct the value, then review and rerun the load.
- What’s still unknown
- Other input files haven’t been checked.
Only YAML-enabled fixes run automatically. You approve new playbooks.
Your data. A little less detective work.
You bring the recurring problem. We handle the agent, from the first setup to ongoing support.
Tell us what keeps breakingChoose a recurring failure
Tell us about a data load that keeps breaking. We’ll work out what the agent should watch and what a useful answer looks like.
We build and set it up
We connect Hermes to approved logs and data across AWS and Snowflake, with clear limits on its access.
Test it, then keep it useful
We test investigations and YAML-controlled recovery together, then help tune the agent as it learns from incidents.
See what’s under the hood.
We build on Hermes Data Reliability, an AWS investigation project. Our service brings that approach to your AWS and Snowflake loads, with recovery rules you control.
Explore the project on GitHubGood people. Real data work.
Feedback from our data engineering and analytics clients.
“Artem’s team built a Snowflake Cortex agent over our Salesforce lead and activity data. It cuts through the noise and surfaces the physicians with the strongest fit for each new launch, so our outreach goes where it counts.”
Suri R.
Head of Commercial AnalyticsCompany withheld
“Loading data from S3 into Snowflake used to mean a ticket to data engineering every time. Now users define their own schemas and configuration, track progress, and get notified. When a load fails, a Hermes agent investigates and proposes the fix.”
Sid S.
Director of Analytics EngineeringCompany withheld
“Giving teams visibility into their own loads removed a major operational bottleneck. Agents investigate routine issues and propose fixes, the people closest to the data approve them, and our engineers stay focused on improving the platform.”
Deepak V.
VP of DataCompany withheld
“We were short-handed and needed experienced help fast. Artem designed and deployed agents to monitor our pipelines on an entirely open-source stack, and we ended up with a foundation we could run and extend ourselves.”
Anonymous client
Data pipeline engagementCompany withheld
Got a load that keeps failing?
Tell us what happens and where it runs. A few sentences are enough to start.
We usually reply within one business day.
A few useful answers.
What does the agent actually do?
It investigates failed AWS and Snowflake loads, explains the evidence, and runs only the recovery steps you’ve enabled.
How do we control automated fixes?
Your YAML defines which fixes may run. The agent suggests new recovery playbooks as it learns, but only you can enable them.
Can we see how it works?
Yes. The GitHub project demonstrates AWS investigation. Our service adapts that approach to your AWS and Snowflake loads, with recovery controlled by your YAML.
What can we start with?
Start with a recurring AWS or Snowflake loading failure. We’ll agree the signals, access, and recovery rules before we build.