Apica Wayfinder

Test Data Orchestrator

The Test Data Engine for Agentic Journeys

Right Data. Right Size. Right Now. Self-service test data provisioning that's compliant by design and agentic by nature.

Agentic AI requires clean, compliant, right-sized test data at the speed of development but most teams wait days or weeks for centralized data teams to provision it. Wayfinder solves that.

Self service, AI assisted test data orchestration that turns test data from a bottleneck into a product. Teams provision right sized, compliant (often synthetic) data on demand, with automation that calculates optimal coverage and generates what tests need, so you can iterate agent workflows in sprint.

Documentation

Datasheet (PDF)

The Problem

Test Data Management Creates Release Bottlenecks and Risk

Pre-production environments are essential for validating new features — but traditional test data practices hold teams back.

Extended Wait Times

Teams wait days or weeks for test data provisioning, slowing release cadence and reducing agility.

Oversized Data Footprints

Non-production environments replicate production data without subsetting, creating 10x larger footprints and exponentially higher cloud storage costs.

Privacy & Compliance Risks

Most data breaches occur in non-production because controls are weaker and data surface areas are larger.

Incomplete Test Coverage

Teams resort to risk-based testing instead of full coverage due to time constraints, allowing defects to leak into production.

Limited Data for New Builds

Platform migrations, cloud migrations, and greenfield projects lack appropriate test data, creating delays.

Regulatory Constraints

Some data privacy regulations prevent any use of production data for testing whatsoever — even masked data isn’t permitted.

Our Solution

Self-Service Test Data Orchestration with AI Intelligence

Apica Wayfinder transforms test data management from a centralized bottleneck into a self-service capability. Unlike traditional test data management tools that require specialized skills and coding, Wayfinder’s criteria-driven approach enables development and QA teams to provision right-sized, compliant test data on demand — no coding required, no waiting for central teams.

Why Wayfinder is architecturally different:

Self-Service Automation

Teams input criteria and press “Go” — Wayfinder automatically provisions the exact data needed for testing without specialist skills.

Intelligent Filtering

Profiles production data to identify valid patterns, generates exact data subsets (e.g., 21,400 records instead of 10,000,000), reducing non-production storage by 90%+.

AI-Powered Synthetic Data

Generates referentially intact synthetic data for gaps, new builds, or regulatory requirements, using explainable AI (XAI) that keeps users in control.

Automatic Masking

Masks sensitive data before loading into non-production environments, minimizing privacy risks from day one.

API-Driven Orchestration

Integrates seamlessly with CI/CD pipelines for DevOps workflows, enabling automated data refresh on every build.

Context Retention

Maintains learnings and frameworks for easy reuse across test cycles — unlike competitors that regenerate from scratch every time.

Think of Wayfinder as the ATM of Test Data: Input your criteria, press Go and get the data you need on demand. We don’t just make test data faster — we make it self-service, right-sized, right-coverage, and compliant from day one.

Capabilities

What Wayfinder Does

AI-powered test data management that eliminates provisioning bottlenecks so teams ship faster, test smarter, and stay compliant by design.

Self-Service Data Provisioning, On Demand and at Sprint Speed

Wayfinder replaces the centralized test data bottleneck with a criteria-driven, self-service model, no coding required, no waiting on a specialized team. Development and QA teams input criteria, press “Go,” and receive right-sized, referentially intact test data within minutes or hours instead of days or weeks. Intelligent subsetting reduces 10 million production records to precisely the 21,000 needed, eliminating the manual coordination that drags release cadence and defeats agile delivery.

AI-Powered Synthetic Data That Stays in Your Control

When production data is incomplete, unavailable, or off-limits, Wayfinder generates production-like synthetic data using explainable AI, transparent frameworks users can see, adjust, and reuse across test cycles, unlike black-box approaches that regenerate from scratch with no institutional memory. Handles complex, multi-table workflows including payments processing, financial transactions, and multi-service microservice architectures, with full referential integrity maintained automatically.

Compliance By Design, Not As an Afterthought

Wayfinder masks structured and unstructured sensitive data before it ever reaches a non-production environment, reducing breach surface area by 90%+ through intelligent subsetting and automated de-identification. For the strictest regulatory requirements, where even masked production data is not permitted, Wayfinder generates fully synthetic data that eliminates PII risk entirely. Privacy protection is architecturally embedded, not bolted on after the fact.

Agentic AI Readiness Built Into the Data Layer

As organizations adopt agentic architectures, including IBM watsonx Orchestrate, the quality and availability of pre-production test data becomes a direct constraint on AI reliability. Wayfinder is agent-ready, prompt-compatible, and fully API-enabled, making it a natural on-ramp for agentic AI adoption: provision the right-sized, compliant data that AI agents need to be trained, tested, and validated without exposing production systems or inflating non-production risk.

DevOps-Native Orchestration That Fits Your Existing Stack

Wayfinder integrates directly into CI/CD pipelines via REST APIs, enabling automated data refresh on every build without manual intervention. A GitOps-friendly approach means test data configurations move through the same review, approval, and deployment workflows teams already use for code and infrastructure. Available as on-premises software, it works alongside existing TDM investments, including IBM Optim and DataStage, enhancing their value rather than requiring rip-and-replace.

How It Works

Criteria-Driven Test Data Pipeline

Wayfinder delivers self-service test data through an intelligent, criteria-driven workflow that eliminates manual processes and coding requirements.

Intelligent Data Profiling and Subsetting

Production data analysis: Profiles production and other data sources to identify valid patterns, relationships, and coverage requirements, with zero data privacy risk.
Exact subsetting: Generates executable data requests that extract only the records needed, reducing 10M records to e.g. 21K without losing test coverage.
Referential integrity: Maintains relationships across tables, databases, and systems automatically.
Privacy by design: Filters and masks data before loading into non-production environments, reducing breach surface area by 90%+ replacing sensitive data with business-context-valid values which will be processed correctly in your applications.

AI-Powered Synthetic Data Generation

Explainable AI (XAI): Transparent, user-controlled synthetic data generation; no black boxes, users see and control every framework.
Automatic alignment: Synthetic data aligns seamlessly with masked production data; users control which aspects are synthetic vs. actual.
Greenfield support: Ingests schemas and intel from design docs to generate valid synthetic data for new builds with no production data.
Complex workflows: Handles intricate scenarios like payments processing engines, financial transactions, insurance policies and claims, and multi-service workflows.

Seamless Integration and Orchestration

Wayfinder works as part of your complete software delivery lifecycle:

CI/CD integration: API-driven orchestration enables automated data refresh on every build or deployment.
TDM tool compatibility: Works with existing test data management tools like IBM Optim, enhancing their value rather than replacing them.
Agentic AI readiness: Agent-ready and prompt-compatible for watsonx Orchestrate and other agentic architectures.
Multi-environment support: Provision data across development, QA, UAT, staging, and integration environments from one interface.

Two Pipelines, One Unified Approach

Wayfinder complements Apica’s observability ecosystem:

Together, these pipelines create a closed-loop lifecycle: Production insights inform testing, and robust testing prevents production failures.

Benefits

Why Wayfinder

Enterprise agility with reduced risk and cost — proven outcomes from organizations using self-service test data orchestration.

90%+ Reduction in Provisioning Wait Time

From days and weeks to minutes and hours. Self-service automation eliminates the sequential dependency on central teams, enabling multiple teams to provision data in parallel.

60–80% Reduction in Non-Production Storage Costs

Intelligent subsetting reduces 10M-record production copies to ~21K records — eliminating unnecessary cloud data footprints and the costs that come with them.

90%+ Reduction in Data Breach Surface Area

Intelligent subsetting and masking radically reduce the PII exposed in non-production environments.

Full Test Coverage, Fewer Defects

Enable complete test coverage instead of risk-based testing — eliminating the defect leakage into production caused by test data constraints.

40–60% Faster Release Cadence

Eliminate test data bottlenecks from your software delivery pipeline — teams get what they need when they need it.

Explainable AI, Always in Control

Unlike black-box synthetic data tools, Wayfinder’s XAI creates transparent, reusable frameworks that users can see, control, and update.

No Coding Required

Self-service by design — development, QA, and business teams can provision data through an intuitive interface without specialist skills.

Complements IBM Optim & Existing TDM Tools

Works with IBM Optim to create exact subsets of source data and adds modern self-service capabilities — increasing the value of your existing investment.

The Result

Enterprise Agility with Reduced Risk and Cost

Proven Test Data Orchestration benefits — organizations using Wayfinder achieve:

90%+

Reduction in test data provisioning wait time

90%+

Reduction in non-production data footprints

60–80%

Reduction in non-production storage costs

40–60%

Acceleration in release cadence

Before Wayfinder

Our teams waited 2–3 weeks for test data, with oversized production copies creating compliance headaches and cloud cost overruns.

After Wayfinder

Self-service data provisioning in minutes / hours, 90% smaller footprints, and our non-production storage costs dropped by 75%.

IBM Partnership Benefits

Complements IBM Optim: increases the value and usability of existing Optim investments through modern self-service capabilities
Agentic AI on-ramp: provides IBM watsonx Orchestrate customers an easy path to agentic AI adoption with agent-ready, API-enabled architecture
Exact subsetting: works with Optim or Data Stage to create precise data subsets, reducing storage and privacy risks while maintaining test coverage

FAQ

Frequently Asked Questions

Does Wayfinder require coding skills?

No. Wayfinder is designed for self-service use by development, QA, and business teams without coding requirements. Users input criteria through an intuitive interface, and Wayfinder handles data profiling, subsetting, masking, and synthetic data generation automatically. You can also use Wayfinder fully via APIs as part of any CI/CD or testing framework.

How does Wayfinder work with existing tools like IBM Optim?

Wayfinder complements and enhances existing TDM tools. It integrates with IBM Optim to create exact subsets of source data and adds modern capabilities like self-service provisioning, AI-powered synthetic data, and API-driven orchestration — increasing the value of your Optim investment. This alignment works with any TDM tools you are already using.

Can Wayfinder generate synthetic data for greenfield projects with no production data?

Yes. Wayfinder ingests database schemas and uses intel from design documents to generate valid, referentially-intact synthetic data for new builds, platform migrations, and cloud migrations — even when no production data exists.

How does Wayfinder's explainable AI (XAI) differ from other synthetic data tools?

Unlike black-box approaches, Wayfinder’s XAI creates transparent, reusable frameworks that users can see, control, and update. The AI doesn’t need to be hosted externally and maintains context across cycles — unlike competitors that follow a ‘one and done’ approach.

Can Wayfinder integrate with CI/CD pipelines?

Yes. Wayfinder is fully API-enabled and integrates seamlessly with CI/CD workflows. Teams can automate data refresh on every build or deployment. All Wayfinder objects can also be defined and edited via API — many customers run Wayfinder headlessly.

What's the typical ROI for Wayfinder?

Organizations typically achieve 60–80% reduction in non-production storage costs, 40–60% acceleration in release cadence, and 90%+ reduction in test data provisioning delays.

Integrations