System integrations
We connect the tools your operation already runs on — ERPs, spreadsheets, forms, chat — eliminating data lost in the gaps, manual re-keying, and siloed workflows.
Artificial intelligence that
solves real problems.
We build solutions that deliver real results.
Principles that guide every project.
People at the core. Technology in service. Excellence as standard.
We build software with embedded AI for companies that treat technology as an operational tool — not as a trend. Our work starts by understanding people and process, and ends in systems that generate results.
— IA Corps
What we deliver
Four areas we combine to solve real operational problems — not boxed packages, not slide-deck promises.
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Process automation
Pipelines that take manual work out of the routine — combining business rules, classification models, and human review only where it actually matters.
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Data intelligence
We turn the data your operation already generates into information your team can actually use to decide — no exported spreadsheets in the middle, no gut feeling, no relying on someone who "remembers" the number.
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Technical mapping
A fixed-scope discovery engagement — your company hires us to investigate a problem and we deliver a clear answer: can it be solved this way, what does it cost, what's the shortest path? With a working POC when it makes sense.
Industries we work with
Industry Logistics Finance Healthcare Retail Industry Logistics Finance Healthcare Retail Industry Logistics Finance Healthcare Retail
Diagnose your operation.
A fixed-scope engagement in four phases — your company hires us to investigate a problem and leaves with a clear answer: can it be solved? What does it cost? What is the shortest path?
Phase 01
We understand the problem, operational context, and success criteria before any code. The output is a well-formed problem document that guides everything else.
- Current process map and bottlenecks
- Quantitative success criteria
- Prioritized technical hypotheses
Duration 2 to 3 days
Phase 02
We build a prototype focused on the riskiest hypothesis. The goal is to answer "does this work?" before investing in production, with real benchmarks and cost.
- Functional prototype in controlled environment
- Benchmark with real data
- Total cost estimate
- Technical recommendation to proceed or pivot
Duration 4 to 5 days
Phase 03
We build the complete solution, integrated into your environment, with test coverage, observability, and human-review processes where operations require it.
- Application in production
- Test coverage and monitoring
- Technical and operational documentation
- Internal team training
Duration 5 to 7 days
Phase 04
We monitor the solution in production, tune models based on real data, and establish a continuous improvement cycle. You're not alone after deploy.
- Ongoing technical support
- Model reassessment each cycle
- Shared evolution roadmap
- Documented SLAs
Duration Ongoing