Responsible AI, measurable impact.
We are a research think tank and applied lab advancing synthetic data, privacy-preserving analytics, and responsible AI to help organizations act on the UN Sustainable Development Goals.
Our Core Pillars
Three fundamental principles that guide our approach to responsible AI development
Synthetic Data
High-utility synthetic datasets for analytics and model training when real data is scarce, sensitive, or regulated.
Privacy & Anonymization
PII detection/removal, k-anonymity and differential privacy options, plus risk/utility audits.
SDG-Aligned AI
Use-cases mapped to UN SDGs with measurable outcomes and ethical guardrails.
Our Core Values
The principles that guide our research, partnerships, and impact
Integrity
We prefer truth over trend, rigor over rhetoric.
Safety
Privacy-preserving design from data to deployment.
Transparency
Documented methods, reproducible results, clear caveats.
Human Impact
Technology that uplifts people and planet.
Open Inquiry
We publish, share, and invite scrutiny.
Living Our Values
These principles aren't just words—they're the foundation of every project, partnership, and decision we make.
Learn more about our approachHow We Work
Our proven three-step approach ensures responsible, measurable outcomes
Discovery & scoping
Problem framing, data governance, success metrics
Prototype & evaluate
Small, testable interventions with utility-privacy trade-off reporting
Deploy & share
Model cards, data sheets, and a path to open artifacts where possible
Featured Case Studies
Real-world impact through responsible AI solutions
Privacy-safe risk modeling with synthetic ledger data
Challenge
A bank needed to evaluate ML risk pipelines without sharing sensitive transactions.
Key Outcomes
- Cut data-access approval time by 70%
- Maintained >95% downstream model fidelity
"Unamani unlocked collaboration without compromising compliance."
Synthetic EHR time-series for safer research
Challenge
Researchers lacked shareable sequences for method benchmarking.
Key Outcomes
- IRB-friendly data sharing
- Comparable performance on target tasks
"A step forward for reproducibility with patient dignity intact."
Explore More Impact Stories
Discover how we're helping organizations across sectors achieve their goals while maintaining the highest standards of privacy and responsibility.
View all case studiesReady to Get Started?
Have an SDG-aligned challenge or sensitive-data bottleneck? Let's talk.
Trusted by organizations worldwide