GulfMedExams
2026Medical exam prep
AI · Structures, tags, and de-duplicates 15k+ MCQs; powers smart study paths and revision flows.
1M+ MCQs solved
- 20k monthly active users
- 100+ countries
- 15k+ questions in bank
- 40+ documented success stories
Lost Wells
Find the orphaned wells your crew can't see on any record.
We turn a whole county of old maps into a short, checked, ranked list of wells probably missing from today's records, so crews know where to go first.
- 20k
- Collective monthly active users
- 100+
- Countries reached
- $30k+
- Projected full-year revenue
Revenue projected full-year, not earned — last 5 months' average, annualized.
Process
How it works
You get a checked shortlist of well candidates probably missing from current records — ranked so your crew knows where to go first.
- 1.Collect old maps and state well records for the county
- 2.AI reads every map symbol and flags likely well locations
- 3.Cross-check today's official records; analysts verify and shortlist ranked well candidates (high, medium, low) with evidence
- 4.Your crew works the short list in the field; confirmations feed the next county
AI does the volume, analysts do the judgment, your crew gives the final answer.
Builds on published research (CATALOG, Berkeley Lab / Ciulla et al., 2024). No partnership claim.
Our team is currently working on this.
Outcome
A short list your crew can drive to.
Lost Wells is in active development. Our team is engaged on old-map ingestion, state-record matching, and analyst review — not on published county results yet.
Our team is actively engaged in this.
Ranked candidates with coordinates
Exact locations, ordered so high-confidence sites come first.
High / medium / low with evidence
Each score ties to map editions, photos, or imagery — not a black box.
Less windshield time per county
The goal is fewer blind visits and less analyst time on the map stack — to be quantified in pilot counties.
Each ranked candidate is meant to ship with map, photo, and imagery evidence your crew can verify before rolling a truck.
Capability
How we use AI
- Content pipeline — AI structures, tags, and de-duplicates 15k+ exam questions
- Automated error-report resolution
- Admin analytics agent answering questions in plain language with read-only access
- AI-drafted SEO and email with human quality control
- Support clarity for complex queries
- Faster product development by a lean team
AI is used internally; quality is human-checked.
Track record
Products we've built
$30k+ projected full-year revenueNot earned. Extrapolated from the last 5 months' average.
Leaveit2AI
2024AI tool discovery
AI · Natural-language search, comparisons, and behaviour-informed recommendations across 1,000+ indexed tools.
1M+ search impressions
- 10k+ professionals
- 1,000+ tools indexed
- 400+ AI-platform referrals
- Domain Authority 39
GradexAI
2025AI grading
AI · Scores open responses and surfaces AI-drafted feedback for instructor review.
15k+ assessments
- 5k+ users
- 10+ institutions
AI PPT
2024AI presentations
AI · Generates slide structure and draft content from a brief, with human review before export.
1,000+ presentations
- Draft decks from a brief
- Human review before export
GulfMedExams20k users
Leaveit2AI10k+ users
GradexAI5k+ users
Shared scale; counts use the user figures stated on each product card.
GulfMedExams
1M+ MCQs solved
20k users · 100+ countries · 40+ success stories
Leaveit2AI
1M+ search impressions
10k+ users · 1,000+ tools indexed
GradexAI
15k+ assessments
5k+ users · 10+ institutions
AI PPT
1,000+ presentations
AI-drafted decks from briefs
Each block uses that product's headline metric — not compared on one axis.
Launch years match product cards.
People
Team
Gul Sher Baloch, PhD
CEO
AI and machine learning for assessment platforms and applied imaging research.
MIT CSAIL · AI/ML cert. (USA)
PhD · 15+ publications
- AI/ML
- Assessment systems
- Computer vision
- Deep learning
- Product strategy
M Yameen, PhD
COO
Microwave sensing, passive RF design, and research-led product operations.
PhD · Leeds (UK)
Postdoc · Gdańsk (Poland)
- Microwave engineering
- RF filters
- Sensing
- Research leadership
- Operations
Iqra Shah
AI Product Engineer
Full-stack product work across exam prep content, growth, and platform operations.
B.S. · Computer Science
AI product engineering
- Computer science
- Product development
- Web applications
- Content systems
- Operations
Shayan Bhutto
AI Product Engineer
End-to-end AI product engineering — architecture through launch for lean teams.
B.E. · Electronics Engineering
Ignite AI Wrapper 2025 winner
- AI products
- Full-stack
- Electronics
- Analytics
- Integrations
Legal
Company details
- Legal name
- Leaveit2AI LLC
- Entity
- Limited Liability Company, Wyoming, USA
- Filing ID
- 2024-001513828
- Registration date
- 30 August 2024
- Registered address
- 30 N Gould St #45505, Sheridan, WY 82801
Reach us
Contact
- contact@leaveit2ai.com
- WhatsApp · +1 (307) 285-7234
- 30 N Gould St #45505, Sheridan, WY 82801
- Mon–Fri, 9am–5pm MST