Maktoub powered by Lumiora · Technology & investment thesis
Dating solved access. Choosing who to build a life with still asks people to do the hardest work alone.
One company · Two engines
01 / Maktoub
The consumer experience: intake, thoughtful introductions, curated events and human support. We understand the person, consider compatibility and find a comfortable setting to meet.
Commercial model: matchmaking, memberships, introductions and experiences.
02 / Lumiora
The intelligence layer being built to structure readiness, compatibility and potential friction, with explanations a human can review.
Commercial direction: per-assessment fees, APIs and B2B licensing. A signed LOI provides an early pricing signal.
What we want to understand
The individual
Intent, self-awareness, emotional regulation, relationship patterns and how someone approaches conflict and repair.
The pair
Values, faith, communication, emotional needs, complementarity and places where expectations may differ.
The life
Marriage, children, money, lifestyle, career, responsibilities and health priorities.
A structured view of readiness, areas of alignment, questions to explore and possible friction—supporting a decision rather than reducing a person to a percentage.
Voice in context
The question tells us what to look for. The voice tells us where to look closer.
“We’re using it to see where the interview deserves a second question.”
Illustrative interview
“I communicate well.”
A follow-up about conflict brings a longer pause, a faster pace or a less specific answer.
The next step: ask for an example, understand the context and compare it with the rest of the conversation.
A voice shift alone does not establish dishonesty, personality, readiness or relationship risk. This is not lie detection or diagnosis. Whether any signal predicts a useful outcome remains a validation question.
For technical partners
The proposed pipeline connects interview context to human review, then to outcomes over time.
This is the intended architecture and development direction, not documentation for a production API.
Record purpose, permissions, relationship goals and interview context before processing sensitive inputs.
Associate transcripts with question context. Explore pace, pitch, pauses, intensity and changes from a person’s own baseline.
Organise observations, evidence and uncertainty. Human reviewers probe gaps, label findings and decide what warrants further discussion.
Compare values, needs and life expectations. Explain areas of fit and possible friction to support considered introductions.
Track what happened, what friction emerged and what helped. Use that feedback to evaluate and improve future assessments.
The research & data thesis
Structured interviews, expert labels, real-world interactions and follow-up outcomes become valuable together—if the measurements hold up.
Establish reliability, clear constructs and consistent human labels.
Test whether a signal adds useful information beyond the interview and ordinary context.
Evaluate against later outcomes, across relevant populations, languages and settings.
Early commercial signals · Reported in the founder’s pitch
Signed LOI
Up to $3
An external matchmaking company has expressed willingness to pilot and pay for Lumiora. Final scope and commercial terms remain to be agreed.
Observed event
50 → 10
Ten sign-ups from an event of fifty people: an observed 20% conversion in one event, not a forecast for future events.
Internal target
<$1
A development target per assessment. Not yet proven, and not a current operating margin.
The pitch also reports organic demand, referrals and a first deposit. These are early signals, not product-market fit or evidence of predictive validity. The LOI is not booked revenue.
The next build
The next capabilities to assemble span relationship science and psychometrics, AI and data science, product engineering, clinical referral expertise, privacy and partnerships.
Technical design priorities include explicit consent, restricted access, clear retention and deletion rules, traceable model versions, reviewable evidence and evaluation for bias.
These are requirements for the build—not claims of completed implementation, certification or regulatory approval.
Investors · Technical co-builders · Integration partners
Interested in the measurement challenge, the engineering roadmap or the business behind it? Start a conversation with Deena Al Jassasi, founder of Maktoub.