Modernize your legacy data warehouse. Prove every number.
Novuz is a deterministic data warehouse modernization platform from Novuz Inc. of Danville, California. It converts schemas, stored procedures, ETL and orchestration into production-ready pipelines. The same code in always gives the same code out. Every object ships with a reconciliation report that proves it matches the original.
Runs in your environment. Same input, same output. Every object reconciled.
Illustrative example objects. Real results by engagement on Proof.
95%+
of objects typically converted with no manual edit
95%+
reconciliation on first pass, typically
40%
cheaper than an SI-led rewrite, at a fixed price set before work starts
Four pillars
Deterministic. Proven. Agentically primed. Inside your walls.
Deterministic
The same code in gives the same code out. About 95% of objects convert by fixed rules with no model calls; the rest go to the resolver, and an engineer approves every proposal.
Proof: Convert twice and diff the output. The diff is empty.
Proven
Every object ships with a reconciliation report: schema, row counts and column-level values compared against the original on the same inputs. Pass, fail or review per object.
Proof: Reconciliation above 95% on first pass, typically.
Agentically primed
Agents can run Novuz through its APIs, and your agents can run the pipelines Novuz delivers through MCP. The conversion in between stays deterministic.
How agents plug inInside your walls
Runs as a container or VM in your cloud or data center. Code, data, lineage and the resolver’s knowledge base stay with you. Works air-gapped. Fixed price set before work starts.
Proof: No outbound connection required.
Logic debt
Data migration is solved. Logic migration is not.
Data alone can’t solve the problem. Logic transformation is essential, and it is the hard and costly part.
Your migration cost is set by how many stored procedures, macros, packages and jobs you have, not by how many terabytes. Most of a warehouse is logic nobody can fully explain, written by people who have left.
Hand rewrites are slow and inconsistent. LLM converters are faster, but their output changes from run to run, so nobody can prove the new version matches the old. You cannot audit what you cannot repeat.
“Data migration is solved. Logic migration is not. The cost of a migration sits in the stored procedures and packages that hold your business rules, so that is what we count first.”
Share of migration effort
Why Novuz
Converted by rules. Proven object by object.
Three ways to modernize, compared on what you can prove afterwards.
| Manual rewrite | AI code assistants | Novuz | |
|---|---|---|---|
| Same input, same output every time | No | No | Yes |
| Proof each object matches the original | Partly | No | Yes |
| Code and data stay in your environment | Yes | Partly | Yes |
| Deploys the converted code to your target and replicates the running system there | Partly | No | Yes |
| Fixed price before you start | No | No | Yes |
| Weeks, not years | No | Partly | Yes |
Novuz deploys the converted code to your target and replicates the running system there; code assistants hand back files.
How it works
Five stages from legacy logic to proven pipelines.
Step 1 · Inventory, lineage, complexity
Discover
Parses every object in scope, maps dependencies and flags dead code.
Step 2 · Rule-based conversion
Converge
Fixed, versioned rules convert each object. About 95% of objects finish here.
Step 3 · Edge cases, engineer-approved
Resolve
The resolver proposes fixes for the rest. An engineer approves every proposal.
Step 4 · A report for every object
Validate
Original and converted logic run on the same inputs. Pass, fail or review per object.
Step 5 · Inside your walls
Deploy
Deployed in your cloud or data center, with orchestration rebuilt to the original schedule.
Where it runs: A container or VM in your own cloud account or data center. No outbound connection required; a hosted resolver model sees only edge-case fragments, under your own agreement. No learning across customers.
Agentically primed
Agents can run Novuz. Agents can run what Novuz builds.
Both the Novuz platform and the pipelines it delivers can be run by agents: the platform through its APIs, the pipelines through MCP. The conversion itself stays deterministic.
The platform is headless
Everything Novuz does through its UI it also does through APIs. Your orchestrator, your CI/CD pipeline, your SI’s tooling or an AI agent can trigger discovery, conversion, validation and deployment, inspect results, and gate the next step on a human approval.
The pipelines are MCP-ready
Through the Model Context Protocol, each converted pipeline can expose run, check status, retrieve lineage, inspect outputs and rerun a failed step as tools your agents discover and call, under your access, approvals and audit logging, on Databricks, Snowflake or Microsoft Fabric.
What stays the same: the conversion is deterministic. Agents decide what to ask for and when. The platform gives the same output for the same input, so every result can be tested, audited and repeated.
AI cost
Zero tokens for most of the work. Low tokens for the rest.
The deterministic engine converts about 95% of objects by fixed rules with no model calls, so there is no token cost.* The resolver handles the rest, on a model you approve, at 700 to 1,000 tokens per edge case. An engineer approves every proposal. LLM converters price by the token, with no ceiling; Novuz is a fixed price set before work starts.
*About 95% is the share of objects that finish in the Converge stage by rule. It is not the automation rate. See the Methodology.
0 tokens
Rules-based conversion, run inside your environment.
700 to 1,000
Tokens per edge case, with engineer approval.
Watch our approach
See deterministic conversion in action.
A walkthrough of how Novuz discovers, converts and proves every object. No sign-up needed.
Technology partner
Built and validated with Databricks.
Read the transcript
Modernize your legacy data warehouse. And prove every number.
Data migration is solved. Logic migration is not. The cost is in the code that holds your business rules.
Hand rewrites are slow. LLM converters can change between runs. So the question is: can you prove it?
Novuz converts by fixed rules. Same code in, same code out. Then it deploys a digital twin on your target. Code assistants stop at the code.
Three things to check. Deterministic: about 95% converts by rule, no model calls. Proven: a reconciliation report for every object. Inside your walls, at a fixed price.
Typically 3 to 4 times faster than service-led delivery. About 40% cheaper than an SI-led rewrite. Three migrations commissioned by Databricks.
Built for your agents. They drive Novuz by API and run its pipelines through MCP, under your permissions.
SQL Server, SSIS, Teradata, Hadoop or Snowflake, to your target.
Find out what your logic debt costs. Three business days. A fixed price. $3,000, credited to your migration. novuz.com.
Proof
Delivered estates. Every number counted the same way.
¹ An AI-powered supply chain planning software company, SQL Server to Delta Lake, self-service rollout. Customers are described, not named, until each gives written permission.
Who it is for
Built for estates where wrong numbers are not an option.
Continuous Modernization as a Product
Modernization is not a one-time project. It is a capability you keep.
CMaaP turns migration into a repeatable software capability. You assess, modernize and validate in cycles as platforms change. Standards and system knowledge are kept between cycles, so each one costs less than the last.
CMaaP is Novuz's name for this model: Continuous Modernization as a Product.
Read: The migration that never endsBusiness outcomes
- ✓Forecastable costs
- ✓Faster time to value
- ✓Higher return on spend
Technology governance
- ✓Deterministic output
- ✓Consistent standards
- ✓Agent-ready pipelines
Operational excellence
- ✓Minimal disruption
- ✓Automated and repeatable
- ✓Inside your environment
Future readiness
- ✓Retained knowledge
- ✓Ready for the agents you adopt next
- ✓Always current
FAQ
Frequently asked questions
What is Novuz?
Novuz converts legacy data warehouse logic into production-ready cloud pipelines, deterministically, and proves every object. It converts schemas, stored procedures, ETL and orchestration, and runs inside your environment.
Is Novuz a tool or a service?
Novuz is software, not a services team. Your engineers run it inside your environment. The resolver handles edge cases with engineer approval, and Novuz engineers back every engagement. Partners can run the program around it.
How much manual work is left?
Typically 95% or more of objects convert with no manual edit. A one-line fix counts as manual, and dead code is excluded from the count. The reconciliation report lists every open item with its cause and fix.
What does Novuz migrate?
Database schemas, stored procedures and functions, ETL packages, scripts, and workflow and orchestration, plus the data itself. Converted code is native to your target, with no Novuz runtime in it.
Which sources and targets are supported?
Sources: SQL Server (T-SQL), SSIS, Teradata including BTEQ, Hadoop (Hive, Impala) and Snowflake. Targets: Databricks, Microsoft Fabric, Snowflake, Apache Iceberg and Delta Lake. Not today: Oracle, mainframe, Informatica, DataStage, Netezza and Redshift. Coverage is confirmed per estate during the assessment.
Is the conversion AI-based?
No. The conversion is rule-based. Fixed, versioned rules, selected by inference over each object’s patterns, convert about 95% of objects with no model calls. The same input gives the same output every time; run it twice and the diff is empty.
How is a language model used, and where does my code go?
Only the resolver uses a language model, for the roughly 5% of objects fixed rules do not cover. It runs on a model you approve: Claude or Gemini under your own agreement, or a local model through Ollama with no external calls. An engineer approves every proposal. No outbound connection is required; if you choose a hosted model, only the edge-case fragments go to it. There is no shared learning across customers.
Does Novuz use AI tokens?
Rule-converted objects use none. The resolver uses 700 to 1,000 tokens per edge case. The price is fixed before work starts, so token use never changes what you pay.
What results have customers seen?
On delivered estates, typically 95% or more of objects convert with no manual edit, and reconciliation is above 95% on first pass. Estates of 1,000 to 1,600 objects take 4 to 8 weeks. Novuz is about 40% cheaper than an SI-led rewrite, at a fixed price set before work starts. Definitions are on the Methodology page.
Can Novuz handle mission-critical systems?
Yes. Novuz is built for regulated and audit-heavy estates. Every object is checked at schema, row-count and column level and ships with a reconciliation report your auditor can read.
Do I need to install anything?
Not to start. The scorecard and the assessment need nothing installed; for the assessment you can run the discovery container yourself and send only the report. For the migration, Novuz runs as a Docker container or VM inside your network, air-gapped if you need it.
How is Novuz different from platform-native tools?
Platform-native tools are a good start for SQL translation to their own platform. Novuz converts the procedures, ETL and orchestration they leave behind, to five targets. It proves every object with a reconciliation report and prices the estate before work starts. Many teams run the free tool first and bring us the remainder.
Is Novuz agentic?
The conversion is not; it is rule-based and gives the same output every run, with the small share rules cannot resolve approved by an engineer. What is agentic is the access: agents can drive the platform through its APIs and operate the delivered pipelines through MCP.
What is logic debt?
Logic debt is the business logic locked in legacy stored procedures, ETL packages and schedules. Data migration is solved. Logic migration is not: the logic sets the cost and the risk of a migration.
How much does it cost?
A fixed price set before work starts, based on object count and complexity, never hours. The estate assessment is $3,000, credited. A First Domain is $25,000 to $40,000, credited. A full estate is fixed from the assessment, typically $40,000 to $200,000 for 1,500 to 10,000 objects.
Who is Novuz not for?
Estates under about 300 objects; Oracle-only or mainframe estates; teams with no target and no date inside 18 months; buyers who want staff augmentation rather than software; and organizations that cannot run software inside their environment or share code for an assessment.
How do I evaluate Novuz?
Take the ten-minute logic debt scorecard. Or get the $3,000 estate assessment: a fixed price on your own code in three business days. Or book a call with the people who built it.
Find out what your logic debt is costing you.
Every object counted, lineage, dead code and a fixed price in three business days. $3,000, credited.
Not sure which door? The scorecard takes ten minutes and tells you.