Automated data movement, without giving up control
Erathos connects your sources to your data warehouse with ready-to-use connectors, full visibility into every run, and control over each ingestion flow. Run it from the UI, the API or your AI agent.
Trusted by data teams that process billions of rows every month
We know you can build pipelines — but should you have to maintain them?
Data engineers spend 12-24h a week firefighting instead of building something of value
Bad data only becomes obvious at the moment of decision-making
Pipelines break whenever schemas change in source systems
Fixing it takes hours because there's no clear context when something fails
When ingestion breaks, everything downstream becomes doubt.
Data ingestion that works, without becoming a maintenance project
Erathos takes over data extraction and loading. Your team operates with reliability and agility without having to manage infrastructure, authentication, or rate limits over time.
100+ production-ready connectors
Extract data from databases, SaaS tools, and operational systems in minutes with stable connectors built to handle schema changes, retries, and partial failures, with no custom code.
APIs and SaaS
HubSpot, Stripe, Google Ads, Meta, and dozens of other tools.
Databases
PostgreSQL, MySQL, SQL Server, MongoDB, and others.
Data Warehouses
BigQuery, Databricks, Redshift, S3, and more.
Your ingestion, run by your AI agent
Through the Erathos MCP server, an agent like Claude lists connections, investigates a failed run and triggers jobs from a conversation. And when the source isn't in the catalog, a coding agent builds the custom connector for you.
Erathos MCP
Diagnose failures, create connections and run jobs by talking to your agent.
Connectors built by agents
Describe the API and the agent builds and validates the connector from real responses.
With your permissions
The agent only acts where your account already can, and credentials never pass through the chat.
Granular control over data ingestion
Configure ingestion behavior at the table or endpoint level instead of relying on global settings per data source.
Block Window
Lock updates during specific time windows
Custom backfill
Avoid full reloads by applying filters to bring in only what matters.
Custom retry strategy
Choose how many retries Erathos should attempt before raising the error, and the interval between each attempt.
A complete history of every run in one place
Track ingestion behavior over time without having to open logs or monitor pipelines manually.
Alerts by email, Slack, and Discord
Real-time notifications when a job fails, before the problem reaches downstream.
Job details
Understand run history, data freshness, and when the next job is scheduled.
Run details
Track every data update without having to open logs.
An open API to integrate with the rest of your stack
Set up and run ingestion from code. The API covers the full setup, from connections and destinations to jobs, and fits ingestion into the rest of your workflow: trigger Databricks jobs when it finishes, orchestrate with Airflow or Dagster, and run dbt transformations once the data is ready.
Full setup via API
Create connections, destinations and jobs from code, with a preview before saving.
Orchestrate your runs
Use an external orchestrator for Erathos jobs
Build automations
Use the end of an Erathos run as a trigger for other automations
Why data teams choose Erathos
Data ingestion ready for AI agents
Your agents run Erathos under the same rules as your team. Through MCP, an agent creates connections, configures jobs and investigates failures from a conversation, and through the API your code does the same setup. Every action is checked against your account's permissions, and credentials stay in workspace secrets, never in the chat.
Start for free
Whoever loves data, loves Erathos.
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
