New Discovery 1.0 is now licensable. Explore Discovery →
altitude80
Solutions

One grounded fact base. Several paths forward.

The altitude80 Workbench is the shared knowledge environment. Discovery 1.0 is its licensable, read-only first module. It creates the evidence-backed business model used for application understanding, data impact and governed AI context.

Understand

Modernization Workbench

Discover how applications work, validate the business model and feed delivery.

See the Workbench
Understand impact

Data Impact Analyzer

Trace variable behavior, test meaningful conditions and verify outcomes across programs.

See data impact
Activate knowledge

AI Agent Library

Give agents governed, contextual business knowledge instead of raw code.

See the agent foundation
How the products fit

Discovery creates the fact base. The Workbench keeps it useful.

Discovery 1.0 recovers what exists without changing the source. The Knowledge Repository keeps the evidence and business meaning connected. Data Impact Analyzer and the AI Agent Library extend how that knowledge is examined and used.

Modernization Workbench

Understand the whole application in context.

Discovery 1.0 recovers and traces what exists without changing it. The broader Workbench keeps that knowledge in a shared repository where people can validate the business model and, in later modules, manage additions, modifications, retirements and deletions.

Business rules Processes Terms Dependencies
Business rule and source

Code and meaning together

Every result remains verifiable.
Data Impact Analyzer

See what changes before you make the change.

Data Impact Analyzer is an optional Workbench extension for examining variable behavior, testing meaningful conditions and verifying outcomes across programs.

The Workbench establishes what the application means. DIA lets business and technology teams examine how its data behaves when conditions change.

Trace the field

See where a value is set, modified and passed through the application.

Verify the outcome

Supply a meaningful condition and compare expected behavior with the calculated result.

Explain what happened

Investigate unexpected values with the calculation path and source context attached.

Data Impact Analyzer verified results showing initial and final values across three programs
Verify Compare expected and actual behavior across the traced calculation.
Data Impact Analyzer field analysis showing program flow and calculation logic
Trace Follow the variable through programs and calculations.
Data Impact Analyzer AI conversation explaining a verified anomaly
Explain Ask why a value differed and review the evidence.
Client proof · Insurance

A data question that had resisted months of work became a traceable analysis.

The client needed to follow critical variables across a large application estate, understand the calculations that changed them and expose anomalies before making a change.

“I've been working on solving this issue for more than three months, and I haven't been able to make progress. I'm very impressed with what's been delivered.”
Lead Architect/Developer and Executive Sponsor, Insurance
Documented engagement scope 48M

lines of code

4,300

programs

450K

data elements

60 hours → 10 minutes

estimated manual analysis per variable compared with the delivered workflow

The figures demonstrate delivery at scale. The business value was making a previously stalled analysis usable and repeatable.
AI Agent Library

Agents need business context, not a code dump.

The Knowledge Repository gives agents explicit rules, vocabulary, processes and relationships with traceable provenance.

Governed Connected Traceable Queryable

Start with understanding.

Choose the capability that matches the decision in front of you.

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