Scope The Need
A short call to define the data, intended use, and opportunity.
THE HUMAN SIDE OF ARTIFICIAL INTELLIGENCE
Real-World Data.
Next-Generation
Intelligence.
We connect AI teams with real-world institutional data—and help data owners prepare and license it.
Human-led. Purpose-built. From first call to release.
REAL-WORLD SIGNAL / GLOBAL PERSPECTIVEJL—01
India-rooted. Globally connected.
EXPERTISE, CAPTUREDDocuments. Audio. Video.
INDIAUNITED STATESEUROPEASIA
Deep relationships.
Real-world potential.
Real-world potential.
100+
Active institutional & SME
conversations in India
04
Priority domains with
real-world complexity
01
Human relationship,
from brief to delivery
THE DATA THAT MOVES AI FORWARD
Real Work. Rich Context.
Untapped Potential.
From hospital workflows to the physical world, we start where valuable knowledge is already being created.
01 / SOURCING FOCUS
Healthcare & Life Sciences
Clinical context. Real-world complexity.
02 / SOURCING FOCUS
Robotics & Physical AI
Intelligence that understands the physical world.
03 / SOURCING FOCUS
Education & Learning
The context behind how people learn.
04 / SOURCING FOCUS
Tax, Audit & Enterprise
The records behind real business decisions.
These are sourcing focus areas, not a catalogue of approved or immediately available datasets.
FROM CONVERSATION TO CONNECTION
From First Call
To Approved Release.
Five clear steps from first call to approved delivery.
Qualify The Source
Confirm ownership, permissions, formats, and a secure intake plan.
Prepare The Data
Structure the records and de-identify sensitive content for the agreed use.
Review Three Times
Automated checks, human review, and a final release check.
License & Deliver
Approve the sample, agree terms, and deliver the prepared dataset.
RESPONSIBILITY IS PART OF THE PRODUCT
Prepared With Care.
Released With Evidence.
De-identification is more than removing names. Our proposed release standard combines automated checks, human judgment, and a separate release review.
Inside our three-pass standard01
Automated Checks
Identifiers, formats & transformation consistency
02
Human Review
Ambiguous content & high-risk material
03
Release Review
Residual risk, permissions & documentation
Review scope is agreed per dataset. De-identification reduces risk; it does not establish zero risk.