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Nuvia + Amazon S3

Nuvia is an AI agent-powered customer service platform that centralizes conversations, contacts, campaigns, and knowledge bases in a single place. With Nuvia, companies automate support across multiple channels while maintaining a complete history of each interaction.

With Erathos, you can integrate Nuvia data into Amazon S3 in just a few minutes. Our platform handles the entire data movement process to your analytical environment, allowing you to blend this data with other sources in your Data Warehouse. This way, your time is focused on what truly drives value: extracting deep insights and making data-driven decisions.

What Nuvia data does Erathos sync to Amazon S3?

The integration automatically syncs the main Nuvia objects:

  • Agents: configurations, model, and status of each AI agent

  • Conversations: subject, status, agent, and contact associations with incremental sync

  • Messages: content, type, and sender of each message exchanged

  • Contacts: profile data and status of each contact

  • Campaigns: status, type, and subscriptions of each campaign

  • Inboxes and Knowledge Base: inboxes and articles used by the agents

  • Custom Tables: custom tables and records created in Nuvia with incremental sync

Why sync Nuvia to Amazon S3?

Nuvia's out-of-the-box reports show conversation volume and AI agent performance, but not the overall business impact. By syncing to Amazon S3, you can join customer service data with product, sales, and CSAT metrics, enabling you to calculate true resolution times, pinpoint AI agent bottlenecks, and correlate support quality with user retention.

How it works

Erathos connects to Nuvia via its official API and syncs conversations and custom tables incrementally—only new or updated records are processed in each run, keeping pipelines fast and Amazon S3 costs predictable. Other objects (agents, contacts, campaigns, messages, inboxes, and knowledge bases) are synced using full-refresh. You choose the destination bucket, sync frequency, and file partitioning. Every run is logged with full observability: execution time, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.

No credit card required.

Why data teams choose Erathos for Nuvia

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Out-of-the-box Nuvia connector

Connect Nuvia to Amazon S3 and automatically sync conversations, agents, contacts, and campaigns. Centralize your support data for analysis, with no CSVs and no scripts required.

Full control over your Nuvia pipelines

Configure the frequency, partitioning, and format of the files generated in S3. Data arrives organized by date and time, ready for Athena, Spark, or any other analytical tool.

End-to-end observability

Stop finding out about Nuvia pipeline failures only when the business team complains. Every execution is logged with run times, rows processed, and error context. Get automatic alerts via Slack, Discord, or email the moment something goes wrong, keeping your support data fresh for your reports.

No credit card required

No credit card required

Why companies move data from Nuvia to Amazon S3 with Erathos

Centralizing Nuvia data in Amazon S3 has never been easier

Erathos is a data ingestion platform built for support and data teams. With the Nuvia connector, you can automatically export conversations, agents, contacts, and campaigns to Amazon S3, keeping your customer support data centralized and ready for analysis.

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Our Customers

Writing data-driven stories

Writing data-driven stories

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

    bruno-brick

    10

    Luis Ribas

    CTO

    I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

    bruno-brick

    11

    Sayuri Valente

    Project Manager

    The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

    bruno-brick

    3

    Matheus Nunes

    CTO & Co-founder

    Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

    bruno-brick

    4

    Fernando R.

    Head of Data

    Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

    carlos-brick

    5

    carlos-brick

    Carlos Schwabe

    Co-Founder & CDO

    We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

    bruno-brick

    6

    Fernando Costa

    CTO & Co-founder

    It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

    thiago-brick

    7

    thiago-brick

    Thiago Paz

    CFO

    If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

    bruno-brick

    10

    Luis Ribas

    CTO

    I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

    bruno-brick

    11

    Sayuri Valente

    Project Manager

    The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

    bruno-brick

    3

    Matheus Nunes

    CTO & Co-founder

    Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

    bruno-brick

    4

    Fernando R.

    Head of Data

    Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

    carlos-brick

    5

    carlos-brick

    Carlos Schwabe

    Co-Founder & CDO

    We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

    bruno-brick

    6

    Fernando Costa

    CTO & Co-founder

    It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

    thiago-brick

    7

    thiago-brick

    Thiago Paz

    CFO

    If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Move your data in minutes

1

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.

2

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

3

Select your data warehouse

Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

Frequently Asked Questions

What is Erathos and how can it help my business?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Nuvia to their data warehouse, providing full observability into every run, zero maintenance, and none of the opacity of traditional tools on the market.

What Nuvia data does Erathos sync to Amazon S3?

Erathos syncs Agents, Conversations, Messages, Contacts, Campaigns, Inboxes, Knowledge Base, and custom tables from Nuvia to Amazon S3. Conversations and custom tables are synced incrementally.

How often does Erathos sync data from Nuvia to Amazon S3?

Custom tables and conversations sync incrementally, from every 5 minutes to daily, at the table level. Other objects sync via full-refresh on every run, keeping the Nuvia pipeline efficient and Amazon S3 costs predictable.

What happens if a Nuvia sync fails?

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every run is logged with runtime, rows processed, and error context, allowing your team to debug in minutes, not hours.

Is there a free trial for the Nuvia connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Nuvia to Amazon S3 and start syncing immediately—no credit card required.

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale