A research-led company building systems, knowledge products and proprietary IP.
Little Black Journal LLP turns research, domain expertise and technical architecture into published work, governed AI systems, software and evaluation products, educational assets and licensable intellectual property.
The formats vary. The operating pattern is consistent: research the problem, build the asset, document the work and make the result transferable.
01 / Company
One company. Multiple expressions of the same operating engine.
These are not unrelated business lines. Each begins with knowledge, research or domain expertise and ends in an asset that can be published, deployed, licensed, taught or transferred.
- 01
Research
Published and institutional research, formal frameworks and evidence synthesis.
- 02
AI Systems
Governed/private AI architectures, bounded workflows, testing and handover.
- 03
Products & IP
Software, evaluation systems, research-derived technical assets and licensable IP.
- 04
Publishing & Education
Books, rights, educational products and global knowledge distribution.
02 / Founder
Founder-led. Built across research, publishing, education and technical systems.
Umran Nayani
Research Architect Author Educator Private Intelligence Architect
The company is founder-led, with much of its current research, publishing, technical architecture and product development originating from a single operating practice: learn deeply, formalize the insight, build the artifact and document the result.
View founder profile03 / Reach
Built once. Distributed across formats, markets and audiences.
- Published books
- 19
- Learners / students
- ~186K
- Countries
- 180+
- Verified 4.5★ reviews
- 2,000+
Point-in-time public / platform figures; counts may change.
04 / Operating principles
The work changes. The principles do not.
- 01
Evidence before claims
Describe what exists, show proof, let the reader conclude.
- 02
Asset over dependency
Where scope permits, leave the client with something usable after engagement.
- 03
Research before abstraction
Begin with the underlying question and evidence, not the fashionable tool.
- 04
Bounded systems
Define evidence boundaries, actions, limitations and acceptance criteria.
- 05
Documentation as part of the asset
Keep architecture, decisions, limitations and handover understandable.
05 / Company evidence
A public record designed for diligence.
Public references covering company status, research, publishing and technical work.
- Company statusApproved World Bank Group Vendor.
Vendor status does not imply endorsement by the World Bank Group.
- Research recordPublished Research — SSRN
- Research profileResearchGate
- Publishing recordAmazon Author Page
- Technical portfolioPublic Technical Work
- Research capabilityResearch & Institutional Work
06 / Legal entity
Little Black Journal LLP
Public corporate details presented for identification and diligence.
- Entity
- Little Black Journal LLP
- LLPIN
- ACA-8441
- Incorporated
- 28 April 2023
- Udyam Registration Number
- UDYAM-MH-33-0337266
- Country
- India
- Corporate email
- contact@littleblackjournal.in
- Telephone
- +91 84249 08969
- Registered office
- Flat No-1001, DB Ozone Building No. 14, Near Dahisar check Naka, Mira Road, Mira Road Police Station, Thane, Thane-401107, Maharashtra, India
07 / Contact
Start with the reason you are reaching out.
AI Systems / Build Labs
System builds, bounded workflows, private AI and asset handover.
Research / Institutional Work
Research architecture, formal frameworks and institutional research briefs.
Licensing / Rights / IP
Publishing rights, technical IP, licensing, acquisition and commercial-use inquiries.
Partnerships / Vendor / Corporate
Platform partnerships, vendor onboarding, institutional relationships and corporate inquiries.