The Clear Choice for Reliable Industrial QA: Object’s AI Inspection Software vs Market Alternatives

An important part of choosing an AI inspection platform is determining what you need in terms of product efficiency, product quality, and customer trust. 

Teams usually compare three kinds of solutions: 

1. Broad vision platforms that do many simple tasks 

2. Pointed tools that can solve one narrow problem

3. Large suites that can cover a lot once customized

   
   

Each path carries trade offs in accuracy, explain-ability, integration, and cost. DeepSearch can be a solution that is a middle ground: accurate, alignable, and easy to use.

Overview of DeepSearch vs market alternatives

• What is DeepSearch?

DeepSearch is Object Tech’s AI inspection software for engineering grade defect detection and analytics. It focuses on hard to catch issues like faint scratches, small voids, and subtle texture changes. It supports clear review and sign off, with versioning and validation gates so work moves cleanly from R&D to production.

• Who might use DeepSearch? 

Teams who are in low-tolerance environments and require precision would use DeepSearch. These teams may be looking at issues including: 

• Semi-conductor wafers and packages

• Micro/nano surfaces

• Composite and ceramic quality assurance 

• Coatings and modules 

• Metal additive manufacturing

Capability	DeepSearch (Object Tech)	Generic Vision Platforms	Point Solutions	Legacy Suites
Accuracy on subtle defects	Strong for low-contrast and faint signals	Varies; heavy tuning	Strong in one niche	Robust but rules heavy
Explainability and review	Engineer-friendly results and sign off	Often limited	Limited	Often opaque or proprietary
R&D to production path	Versioning and validation gates	Custom process needed	Limited	Available but complex
Integrations with existing systems	Modern and extensible	Basic or proprietary	Minimal	Mature and heavy
Time to value	Fast with guided workflows	Medium with trial and error	Fast if perfect fit	Longer with services and training

Why DeepSearch stands out

• DeepSearch focuses on the hard defects most tools miss. 

• Catches defects most tools miss

• Works across cameras, lighting, and materials

• Integrates with data stores, MES/PLM systems, and analytics

• Supports stepwise deployment: R&D → pilot → production with validation and traceability

Here’s a side-by-side on DeepSearch and Market Alternatives:

DeepSearch

• You need high confidence on subtle defects.

• You want explainable results and a clean R&D to production path.

• You rely on integrations with data lakes, MES or PLM, and analytics.

• Security and governance are required.

Market alternatives

• Generic platforms: best for broad, simple tasks and early exploration.

• Point solutions: best for one narrow use case with stable data.

• Legacy suites: best when already standardized and you have a services budget.

How teams can determine what a good fit would be 

1. Define what your goals are. Agree on what may count as defect types, severity, and the right balance between false positives/negatives to cost and yield.

2. Check the data readiness, and where the system would have to be integrated.

3. Run a pilot with different experiments and human review to confirm results are clear enough for a sign off. 

4. Deploy to production with validation gates and outputs, monitoring performance and drift. 

5. Keep improving the system by tracking results.