BigPanda on Production-Ready AI Agents
In this second episode of DatAInnovators & Builders, BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.

This thanksgiving ? we are very thankful for our customers. Your feedback has helped us become the only multi-modal Data Integration solution with ETL, ELT, Reverse ETL, Streaming, and Batch data all in one simple no-code / low-code UI.

A great validation of customers using Nexla and Snowflake, we’re proud to announce Snowflake Select Tier Technology Partnership. Read all about it on our blog.

We’re excited to welcome Yotpo as a customer to support their mission to build an open, scalable data platform for their business. Read all about it on Yotpo Engineering’s blog.
Nexla’s Apache Airflow Operator is now available to select enterprise customers. Operators are predefined templates for Airflow Tasks, and now in Nexla they can be connected to Nexla data flows. Contact your Nexla account manager if your team needs the Airflow Operator.

A new version of Nexla’s CLI with updated commands is now available for developers. The CLI comes with bug fixes, more commands, and updated functionality. Contact us to try out the newest CLI version.
At their recent DoorDash Meetup event, watch the DoorDash engineering team discuss their strategy for a data architecture to scale across new verticals to become the “last mile logistics company”. Watch the whole talk here.
| Nexla makes scalable and repeatable integration of data out of Odoo easy with ETL, wherever you need it. Read the blog post. |
Our webinar is now every other week! Join us to learn how we make it easy for data teams to work with data.
In the demo, you will get a close view of the Nexla platform as we set up a complete data flow.
UPCOMING DATES
Wed, Dec 8: 8:30-9am PST
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Best,
The Nexla Team
In this second episode of DatAInnovators & Builders, BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.
While it is true that AI offers enormous opportunities for innovation and success, its reliance on personal data raises urgent concerns about privacy, ethics, and governance
In this second episode of DatAInnovators & Builders, Ashish Thusoo breaks down how CurieTech AI uses benchmarks-first discipline and AI-driven build loops to achieve 70–80% productivity gains.