Context before conclusions.
Graph-based retrieval connects the facts across your records, so answers start with the right evidence.
THE PRODUCT
Confidence you
can inspect.
Connected records. Independent checks. People in control.
Take a closer look at how the work gets done.
01 / THE PLATFORM
Your documents.
The details that matter.
Spot a mismatch. See where it came from. Decide what happens next.
Follow one example↓✳peepalytics/ Document reviewILLUSTRATIVE EXAMPLE
Compare these records.
YOUR QUESTION
Do the income figures match?
OUTPUT / WHAT NEEDS ATTENTION
✳Peepalytics4 steps completed
The income figures don’t match.
The application states $84,000. The supporting record states $72,000.
NEXT STEPAsk a reviewer to resolve the difference.
Both references are attached below.
CHECK THE ORIGINAL DETAILS
Fictional records · No live connection
How this example is checked＋
- ✓Read both records
Find the stated income in each document.
- ✓Compare the figures
Check whether the amounts agree.
- ✓Flag the difference
Identify what needs a person’s attention.
- ✓Attach the references
Keep the original details available for review.
02 / TRUST, ENGINEERED IN
Every answer
has a backstory.
AI earns its place in your workflow when you can see how it reached a conclusion.
A second look. Built in.
Multiple agents check the work. Flagged findings reach a human with the supporting context intact.
Nothing lost in the handoff.
Keep a traceable record of what was found, how it was checked, and what needs a decision.
⌘Talk security↗
Sensitive work deserves deliberate architecture.
Discuss data boundaries, access controls, and deployment requirements with our engineering team.
A LITTLE MORE CLARITY
Good questions.
Clear answers.
What makes Peepalytics different?＋
Peepalytics brings source retrieval, independent agent checks, and human review into the same workflow. Your team can inspect the evidence behind an answer and understand what still needs attention.
Can we use our existing data?＋
The platform is designed to work across documents, databases, and other enterprise records. A technical discovery session identifies your sources, permissions, and integration requirements.
How do you handle sensitive information?＋
Data boundaries and review controls are part of deployment planning. Our team can walk through the architecture and the requirements specific to your organization.
What does getting started look like?＋
Start with a conversation about one meaningful workflow. Together, we define the data inputs, the review process, and the criteria your team will use to evaluate the results.
YOUR NEXT MOVE
Grow with
confidence.
Start with the work that’s slowing you down.
Let’s explore where AI can make the biggest difference.