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Title

Altana builds compound GenAI systems on Databricks to classify goods for global trade compliance

derived · high
…novative ways. One use case involves streamlining cross-border trading needs by generating accurate tax and tariff classifications for goods, as well as producing comprehensive legal write-ups. “These models generate what is the right tax and tariff classification of this…

Description

Altana, a value chain management platform, combined custom deep learning models, RAG-based fine-tuned agent workflows and RLHF on the Databricks Data + AI Platform to generate tax and tariff classifications and legal justifications for cross-border goods, and to enrich its global supply chain knowledge graph. Using MLflow, Model Serving, Delta Lake and Unity Catalog, Altana now trains and deploys GenAI models 20x faster and achieved 20-50% better model performance across its most demanding workloads.

derived · high
…ster deployment of GenAI models into production 20–50% better model performance Altana, the world’s first value chain management system, is on a mission to build a more transparent and reliable global supply chain.…
We're training and deploying models more than 20 times faster to production

Company

Altana

classification · high
…ster deployment of GenAI models into production 20–50% better model performance Altana, the world’s first value chain management system, is on a mission to build a more transparent and reliable global supply chain.…

Industry

Technology & Software

classification · high
…chains through AI-powered insights, visit: altana.ai . Share this post Details Industry : Retail and Consumer Goods , Technology and Software Use Case : Artificial Intelligence Product : Agent Bricks , Delta Lake , Unity…

Problem

Altana had to create boilerplate tools for launching GenAI applications, diverting focus from product functionality, and faced tension between product functionality, total cost of ownership, vendor lock-in and information security while needing to rapidly iterate on approaches and fine-tune data and models across several cloud deployments for diverse customers.

derived · high
…y iterate and fine-tune models for diverse customer needs. Prior to Databricks, the company had to create boilerplate tools for launching GenAI applications, diverting focus from cutting-edge product functionality. After leveraging Databricks for their generative AI product development, Altan…

Solution

Altana used the Databricks Data + AI Platform's open architecture to combine custom deep learning models with fine-tuned agent RAG workflows and RLHF refinement, using Managed MLflow and Model Serving to manage the ML lifecycle, Delta Lake for real-time data ingestion and time-travel debugging, and Unity Catalog for federated data governance and customer data privacy.

derived · high
…odels were also used as the backbone for some of their deep learning solutions. Databricks tools like Managed MLflow and Model Serving were pivotal in managing their extensive ML lifecycle. “The ‘batteries included’ nature of Databricks allows us to do it all in one pl…

Business value

Altana deployed GenAI models 20 times faster and achieved 20-50% better model performance, even for its most demanding workloads, enabling customer-centric innovations that were previously unattainable.

derived · high
…fecycle, enhance collaboration across teams and improve operational efficiency. This transition allowed them to deploy models 20 times faster and achieve up to 50% better performance, enabling customer-centric innovations that were previously unattainable. Vendor lock-in and workflow inefficiencies hindered Altana’s global trade visio…

Technology

Delta Lake, Unity Catalog, MLflow, Model Serving, Agent Bricks, DBRX, Llama 3, Phi-3

classification · high
…rmance or latency reasons.” Cadieu’s team took a compound AI systems approach , combining existing large language models (LLMs) like DBRX, Llama 3 and Phi-3 with their own internal proprietary datasets for their RAG workflows. These ope…

AI capabilities

Generative AI, Retrieval-Augmented Generation, Document Intelligence

classification · high
…novative ways. One use case involves streamlining cross-border trading needs by generating accurate tax and tariff classifications for goods, as well as producing comprehensive legal write-ups. “These models generate what is the right tax and tariff classification of this…

Use case type

Document processing

classification · medium
…novative ways. One use case involves streamlining cross-border trading needs by generating accurate tax and tariff classifications for goods, as well as producing comprehensive legal write-ups. “These models generate what is the right tax and tariff classification of this…

Headline outcome

derived · high
…ltana AI CUSTOMER STORY Solving global trade challenges across the supply chain 20x faster deployment of GenAI models into production 20–50% better model performance Altana, the world’s first value chain managemen…

Deployment model

cloud

classification · medium
…rapidly iterate on approaches, fine-tune the data and models for customers and measure R&D as well as live performance across several cloud deployments,” Cadieu explained. The company’s existing infrastructure forced them to spend…

Deployment options

cloud

classification · medium
…rapidly iterate on approaches, fine-tune the data and models for customers and measure R&D as well as live performance across several cloud deployments,” Cadieu explained. The company’s existing infrastructure forced them to spend…
Capture details
Captured
11 Sept 2026, 06:05 UTC
Extractor
fetch-strip@1
Snapshot hash
40ae3ccc00809d82d2a1800cfd0dd16bfafd8f4ca2d68807524a1510beae9d4b