Autonomous agents
for data infrastructure.
We build agents that monitor data systems, investigate issues, and propose fixes. Hermes Agent, Snowflake Cortex. AWS, GCP, Azure, and Snowflake.
Monitoring. Investigation. Proposals your engineers can review.
Detect. Investigate.
Propose a path forward.
Agents follow signals across your data stack and infrastructure, gather evidence, and propose a response. Your engineers review the findings and decide what changes.
Trace a pipeline failure to a proposed fix.
Turn monitoring signals into an investigation your engineers can review.
Your systems
Pipeline logs, Snowflake query history, and cloud metrics
The agent's analysis
- Monitor failed runs and data freshness
- Correlate pipeline, warehouse, and infrastructure signals
- Propose a recovery step with supporting evidence
Your team reviews changes
Your engineers review the diagnosis and proposed fix before changes reach production.
An evidence-backed diagnosis and proposed recovery plan
From your environment to an agent on watch.
We build, deploy, and support the agent around your operational environment, from choosing the signals to evaluating its investigations in production.
Discuss your monitoring needsScope the signals and risks
Map the pipelines, cloud resources, Snowflake environment, and operational concerns to monitor. Agree on investigation boundaries and what a useful proposal should contain.
Build on Hermes or Cortex
Connect the agent to the telemetry and context it needs. Use Hermes Agent, Snowflake Cortex to build monitoring, investigation, and solution-proposal workflows within your environment.
Validate the investigations
Evaluate the agent against representative incidents, security findings, and deployment failures. Check the evidence behind each proposal and define the points that need human review.
Deploy and support
Deploy into the agreed AWS, GCP, Azure, or Snowflake environment. Review investigations, tune monitoring, and maintain the agent as your data and infrastructure change.
Built for the stack you operate.
Our focus is specific: Hermes and Snowflake Cortex for agents; AWS, GCP, Azure, and Snowflake for the systems they monitor and investigate.
Hermes & Snowflake Cortex
Agent implementations use Hermes Agent, Snowflake Cortex, selected for the environment and the investigation requirements.
AWS, GCP & Azure
Monitoring and investigation across cloud services, security configuration, infrastructure, and the delivery pipelines around your data.
Snowflake
Agents focused on warehouse operations, data pipelines, access patterns, query behavior, and deployment changes.
From the teams we’ve worked with.
Client feedback from our data engineering and analytics engagements.
“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
What should your agents be watching?
Tell us about your data stack, infrastructure, and the issues your team needs to catch or investigate. We can scope an agent around the signals and proposals that matter.
A conversation is a good first step. No finished brief needed.
A few useful answers.
What do your agents do?
They monitor data systems and infrastructure, investigate issues, and propose solutions. Use cases include pipeline failures, data freshness, security and access changes, operational incidents, and CI/CD failures. The output is an investigation with evidence and a proposed next step.
Which technologies do you work with?
Our agent implementations focus on Hermes and Snowflake Cortex. Our data and infrastructure work is focused on AWS, Google Cloud (GCP), Microsoft Azure, and Snowflake. Engagements stay within that technology scope.
Do the agents make production changes?
The focus is autonomous monitoring, investigation, and solution proposals. Agents gather context and investigate within agreed access boundaries. Your engineers review the evidence and decide which changes to make; deployments, remediation, and access changes stay under your team's control.
What do we need to get started?
Bring one monitoring or investigation use case, an outline of your AWS, GCP, Azure, or Snowflake environment, and the signals your team already collects. We can then scope the telemetry, access, and evaluation needed. A finished specification is not required.