Time is signal
We consider timing, sequence and readiness as part of a decision—not as decoration around it.
About Intelitive
Research roots. Product discipline. Commercial intent.
Intelitive Research Lab is an applied AI and software company developing time-aware intelligence, secure systems and focused digital products for complex operations.
Company story
Research becomes valuable when people can use it.
Intelitive operates at two connected levels. Protected research explores new ways for intelligent systems to understand timing, change and available capacity. Product engineering turns promising ideas—and clearly defined market needs—into understandable, governable systems.
Our portfolio includes working products, MVPs, simulation prototypes and early research. They are not presented as if they have the same maturity. Each is labelled by what exists today and what still requires validation.
Operating principle
Evidence before claims.
What makes us different
A clear standard for responsible product work.
The same principles travel across research programs, commercial ventures and client engagements.
Model the operation first
We understand the real workflow before deciding what intelligence or automation should do.
Preserve responsibility
Technology should support accountable people, not blur professional ownership.
Protect what matters
Research mechanisms, sensitive data and organizational boundaries receive deliberate control.
Evidence before claims
A result is described with its stage, scope and limitations intact.
Clarity is not only a design choice. It is how trust becomes operational.
Founder
Intelitive Research Lab
Founder profile
Behnam Dehghani
Founder · AI Developer · Time-Aware AI Researcher · Product Engineer
Behnam Dehghani is the founder of Intelitive Research Lab and JURIXA. His work brings together original AI research, senior product engineering and human-centered workflow design.
He focuses on turning complex operations into products people can understand and use—products with clear roles, explicit boundaries and practical commercial value. His work spans legal technology, healthcare operations, recruitment, financial risk, document intelligence, robotics and secure systems.
His Time-Aware AI research investigates how urgency, sequence, memory age and changing context can affect an intelligent system’s response. Its implementation remains protected; public claims are limited to approved aggregate evidence and clearly stated research boundaries.
Selected research
Publications & preprints
- PSO-Guided Construction of MRD Codes for Rank Metrics Mathematics · 13(17), 2756
- Unified Time-Sector Effective Field Theory Research Square · Version 2
- PSO-Guided Recognition of Elementary Geometries for Zero-Defect Manufacturing Preprints.org · Version 1
- A time-direction field linking gravitational redshift, decoherence and horizon thermality Research Square · Version 1
Research status is shown explicitly; preprints are not presented as peer-reviewed journal articles.
Model the real operation first. Keep permissions, hand-offs and human responsibility explicit.
Start a conversation
Build the capability your current tools cannot provide.
Start with one consequential workflow and a clear definition of what useful evidence would look like.
Discuss a project