IDP vs LLM Extraction: What makes sense when?
Use IDP for documents at scale. Use LLM extraction when dealing with variable, unstructured, or unique documents. Both can be used in the same pipeline.
Your AI initiative is only as good as the data feeding it.
Power your Gen-AI retrieval and results with clean structured data effortlessly transformed.
What we hear enterprise leaders saying
"We bought the AI platform. Now what?"
The tools are in place but the data inputs are a mess. Clean data was always the assumption, never the plan.
"We've talked to five vendors. Everyone sounds the same."
AI. Automation. Intelligent. Every company promises transformation. Almost none can show you the path.
"Our documents are everywhere and in every format."
PDFs, scanned images, emails, handwritten forms — siloed across systems no one wants to touch.
Most enterprises aren’t failing at AI because of the wrong model.
They’re failing because the information that should be powering those models is buried in documents, emails, and forms — unstructured, uncleaned, and unusable.
We Fix That!
Real results.
Outcomes from organizations like yours.
1.67M
documents processed in 6 months for state agency
100%
ROI in a matter of months for an automotive parts distributor
60%
improvement in capture accuracy at aviation maintenance center
1000
invoices per day at textile manufacturer
Don't just take our word for it...
How we work
From buried information to activated AI in four steps.
We don’t ask you to rip out what you have. We meet you where you are and build a path forward that proves itself early and scales deliberately.
1
Find the Data
Map every source of unstructured content — documents, emails, images, forms — regardless of format or system.
2
Make it Usable
Extract, classify, and structure content into clean, normalized data your systems can actually consume.
3
Govern it Properly
Apply the controls, audit trails, and retention policies that enterprise compliance actually requires.
4
Activate Your AI
Feed your models, workflows, and decision engines with data that’s clean, contextual, and ready.
Not sure where your AI initiative stands? Let's find out together.
We offer a working session designed for one purpose: to give you an honest, clear picture of your organization's AI data readiness and a practical first step forward.
What we will provide you:
- A map of where your unstructured data lives and why it’s blocking AI progress
- Clarity on the two or three highest-ROI use cases for your organization
- An honest assessment of what’s realistic in 90 days vs. 12 months
- A shared language your technical and executive teams can align around
Whether you're building advanced AI or streamlining operations, we help you capture the inputs that power smarter outcomes.
Insights
What is AI Orchestration?
AI orchestration enables disparate AI systems to collaborate across applications and interfaces — automating data streams and task execution with human oversight.
When does enterprise AI become fragmented?
Having the fastest AI model, or an agent in every single application, means nothing if they can’t talk to each other.