>70%
Automation across discovery, conversion, and validation
Proven at Scale
Delivering measurable outcomes across discovery, conversion, validation, and modernization programs.
30,000+
Scripts converted across global banks and healthcare
2–3x
Faster time-to-value on Databricks
How Scintilla Overcomes the SAS Anchor
In many enterprises, SAS is the anchor holding back your data estate. Licensing costs climb, the SAS talent pool shrinks, and every program locked in legacy is a workload your AI roadmap can't reach. Line-by-line rewrites are slow, error-prone, and rarely finish.
LTM’s AI-powered Scintilla accelerator closes that gap. It's not a line-to-line converter — it's a pattern-driven transpiler that learns from every conversion and gets smarter with each iteration, moving SAS into Databricks-native PySpark efficiently and with quality assured for a smooth SAS to PySpark migration.
What Scintilla-based Modernization Means for Your Business
LTM’s Scintilla accelerator expedites SAS modernization for enterprises. You’ll be able to:
Land on Databricks in weeks, not quarters:
Land ready for Genie, Agent Bricks, and Lakebase, with no second wave of rework.
Reduce modernization cost and effort:
Automation does the heavy lifting, so your experts spend time on what matters, not rewriting code from line one.
Exit without the risk:
Every conversion is traceable and validated, so business continuity holds through cutover.
Our Framework
01
Compounding Knowledge Core
The Mapping Dictionary, Function Library, and Pattern Repository form Scintilla's intelligence, a codified body of SAS-to-PySpark intelligence that grows richer with every conversion.
02
Conversion Engine
The core engine draws on this codified knowledge to auto-convert SAS scripts into validated PySpark, segmenting code into logical blocks, excluding irrelevant DI artifacts, and preserving the original SAS as inline comments for full traceability.
03
GenAI Native
Prompt-based assistance helps resolve edge cases, generate test cases, and create test data turning remediation from a manual grind into a guided, AI-accelerated step.
04
Transparent by Design
Every run produces logs, exception reports, complexity scores, and conversion summaries so nothing happens in a black box and every output is auditable.
05
Deploy Anywhere
Packaged as a ready-to-deploy Docker image with built-in cloud connectivity, Scintilla runs securely in your environment and executes converted PySpark directly on Databricks.
The Scintilla Edge
Mapping Dictionary
SAS-to-PySpark equivalents for functions, datatypes, and coding techniques.
Function Library
PySpark-equivalent SQL for SAS functions, macros, and reusable blocks.
Pattern Repository
Growing catalog of supported SAS patterns that gets richer with every engagement.
GenAI Assist
Prompt-based remediation, test-case generation, and test-data generation.
Driving Real-world Results
Grunt work out. $1.5 Mn savings in, with Scintilla SAS to PySpark Migration at work for global healthcare player
- Case Study
- Healthcare
- DataBricks
Discover how LTM transformed healthcare analytics using Databricks modernization for improved scalability, insights, and performance.
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Resources
Unlocking the Power of Data Modernization with Scintilla: Migrating SAS Workloads to PySpark
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The Fast-Track is Getting Faster: Why the Data Intelligence Platform is the Best Place for Your Gen AI Projects
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Ready to exit SAS with confidence?
Book a SAS Modernization Workshop to assess your SAS environment and identify the fastest path to Databricks.
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