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IBM · IBM InfoSphere Optim → Tonic.ai · Migration

Proven Optim to Tonic migration by senior engineers

Yes, migrating IBM InfoSphere Optim masking to Tonic.ai is a well-understood project. Our senior engineers convert your Optim UDFs, Access Definitions, and schemas into modern Tonic generators – with zero privacy

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The lowest-cost way off IBM InfoSphere Optim: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your IBM InfoSphere Optim estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Tonic.ai, automated where it's safe
Parity validation
Side-by-side testing proves Tonic.ai matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
3–6 months
Project timeline
2–3 senior consultan
Fixed scope team
40-70% off Optim sup
Legacy savings while you plan

How we support IBM InfoSphere Optim → Tonic.ai after migration

  • Senior platform engineers run your migration
  • Fixed scope, fixed budget – no surprises
  • Zero privacy regression from Optim UDFs to Tonic
  • 40-70% savings on legacy Optim support while you transition
  • 24/7 US-based support from day one
  • Your Optim vendor support stays active until you cut over

Cloud-scale bottleneck

Your DevOps team demands automated, API-driven masking pipelines, but Optim’s legacy architecture can’t keep up with cloud-scale databases.

Legacy UDFs & schema complexity

Proprietary Optim UDFs and deeply nested schema hierarchies make rule conversion tricky – one wrong mapping can expose sensitive data.

Risk of regressing compliance

You need to modernize QA pipelines for native cloud workflows, but replacing Optim with Tonic.ai feels risky without proven guidance.

IBM InfoSphere Optim → Tonic.ai migration — your questions answered

How do you ensure no data leaks during the migration?+

We assessment your Optim Access Definitions, UDFs, and schema relationships, then build identical Tonic.ai generators. Because our team knows both Optim UDF syntax and Tonic’s generative API, your masking rules convert without privacy gaps.

What about legacy Optim UDFs – can they be migrated?+

Yes. We convert proprietary Optim UDFs into equivalent Tonic.ai generators, preserving all privacy logic. Our consultants have hands-on experience with Optim’s nested schema hierarchies and Access Definitions.

Will we lose vendor support during the migration?+

We run the migration while your Optim vendor support contract is still active. You keep vendor-level coverage for the legacy platform until you cut over. If the contract lapses mid-migration, our third-party support covers most operational issues on the legacy platform (not vendor patches). Either way, you set the cutover date.

How long does an Optim to Tonic.ai migration take?+

Typical projects run 3–6 months with 2–3 senior consultants. Budget ranges from $80,000 to $350,000 depending on schema complexity and data volume. We scope it with you up front – fixed price, no change orders.

Migrate with confidence – from Optim to Tonic.ai

Your Optim privacy rules are safe with us. We map every UDF, Access Definition, and schema relationship to modern Tonic.ai generators – with no data leaks. After migration, keep your compliance posture strong with our ongoing Tonic generator maintenance and optimization consulting. Get a fixed-scope, fixed-price migration from the team that knows both Optim and Tonic.ai inside out.

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