Mobile products
Cross-platform and native-ready mobile products built for real operational requirements—not demonstration screens.
- Customer apps
- Field tools
- KYC & verification
K8Kortex8Labs
LEAP 2026 · Riyadh · 31 Aug–3 Sep
Turn complex product work into software people can use.
We help product teams move from unclear requirements to reliable mobile, SaaS, operational, and applied-AI systems—without handing the work through layers of account management.
Based in Pakistan.Working internationally.
8+years in product engineering
40k+pensioners in a served program
100k+people on a consumer platform
2models: complete builds or embedded capacity
HOW WE WORK / AT THE TABLE
Good software starts with the right conversation
We work beside product owners, operators, and technical teams to understand what the system must do in the real world—not only what fits on a requirements list.
01
Listen to the people closest to the work. The awkward exceptions often matter more than the clean happy path.
02
Put decisions where everyone can see them. Scope, risk, and architecture stay open to useful challenge.
03
Use working software to settle debates. Review the product in motion, then improve it with evidence.
Photography is editorial and does not depict Kortex8Labs personnel.
01 / CAPABILITIES
What we can build with you
One accountable product team can take the work from an ambiguous brief to a production release—across interface, backend, cloud, and applied intelligence.
SaaS platforms
Multi-role products with clear workflows, administration, reporting, billing, and scalable backend foundations.
- Multi-tenant SaaS
- Marketplaces
- Operations platforms
Applied AI
Practical AI features integrated into products and workflows where they create measurable value.
- Document processing
- Computer vision
- Knowledge systems
Product modernization
Improve an existing product without rebuilding everything. Stabilize the foundation, remove bottlenecks, and ship the next version.
- Mobile rebuilds
- Backend migrations
- Cloud delivery
01STAFF AUGMENTATION
Experienced people inside your existing product rhythm
Add a mobile engineer, full-stack developer, product designer, AI specialist, or a small cross-functional pod without creating a second delivery system around them.
- Works inside your backlog, reviews, and communication cadence
- Senior technical oversight remains available
- Flexible individual specialist or focused delivery pod
WHEN IT FITSBest when you already have product direction and need dependable capacity around a clear capability gap.
Discuss team capacity 02FORWARD-DEPLOYED AI ENGINEERING
AI engineers close to the workflow, data, and users
A forward-deployed team works with your domain experts to identify the useful job, build the first end-to-end path, integrate it into the product, and measure whether it performs in practice.
01Observe02Prototype03Integrate04Evaluate05Operate
- Use-case discovery grounded in operational value
- Rapid pilot with evaluation and human review
- Integration, observability, safeguards, and production handover
WHEN IT FITSBest when AI must connect to a real operational workflow, existing systems, human review, and production controls.
Plan an AI integration 
Photography is editorial and does not depict Kortex8Labs personnel.
WHEN TO CALL US
Bring us in when the product has become more than a build
The best time to talk is when the next decision carries technical, operational, or commercial weight.
Describe the situationThe prototype proved demand. The product cannot stay a prototype.
You need clearer architecture, dependable releases, and a team that can turn early momentum into a system people can rely on.
A live product is becoming harder to change.
Delivery is slowing, defects are multiplying, or the technical foundation is starting to limit the commercial roadmap.
The workflow matters more than the feature list.
The product crosses roles, devices, integrations, and operational teams—and needs someone to make the whole system coherent.
AI has a real job to do, not a demo to perform.
You have a useful application for language models, vision, or automation and need evaluation, safeguards, and product integration around it.
02 / SELECTED WORK
Evidence over promises
Each study connects the business context to the system delivered and the evidence that can be discussed. Research work is labelled clearly.
Digital identity verification for pension services
A public-sector pension program needed a safer, clearer way for pensioners to complete identity checks and access service workflows from a mobile device.
PROGRAM SCALE40,000+pensioners served
PRODUCT SURFACESMobile + adminone operating flow
01 / 03Look at the camera
Verification queue
01Verified
02Review
03Verified
Identity verificationGuided livenessOperations portalProduction support
98%Meaningful matchesBuilt around trust & intent
A consumer matchmaking platform at meaningful scale
Product engineering experience on BiheNepal, a matchmaking platform featured on Shark Tank Nepal and used by more than 100,000 people.
OUTCOMEEngineering support for a live consumer product operating at meaningful scale, with product delivery extending beyond an initial launch.
100,000+ peopleSTOCKHOLM18:42Maghrib · next prayer
SVENAR
↑QIBLA
A digital community platform for Shia Muslims in Sweden
A multilingual mobile and administrative product for prayer services, directories, community requests, content, and organization-managed data.
OUTCOMEOne multilingual service layer for members and administrators, replacing fragmented updates with organization-managed information.
3-language product architectureCLOLLMREVIEW
BLEU.84BERT.91
LLM-assisted assignment generation and evaluation
A research-led platform for generating and evaluating academic assignments using fine-tuned language models, learning-outcome alignment, and human review.
OUTCOMEA research workflow combining fine-tuned generation, semantic evaluation, LLM-based review, and human judgment in one system.
Accepted ICoDT2 poster · Dec 2025ROI
High-accuracy medical image classification research
Research across transformer-based medical image classification, hybrid deep-learning pipelines, calibration, and model evaluation for brain tumor MRI analysis.
OUTCOMEA comparable experimental framework with multi-seed evaluation, explainability, and a verified 99.55% result for the DeiT plus SVM experiment.
99.55% · DeiT + SVM experimentGLOBAL
MODEL
CLIENT 01CLIENT 02CLIENT 03CLIENT 04MODEL
Privacy-aware learning across distributed medical datasets
A federated-learning research program for cervical cell classification using distributed training, non-IID simulation, privacy-aware evaluation, and explainability.
OUTCOMEA structured basis for comparing centralized and federated approaches across realistic non-IID client conditions.
03 / DELIVERY
A direct path from discussion to deployment
You work directly with senior technical leadership. Communication does not pass through layers of account management.
Define
Clarify the users, constraints, success criteria, and first commercial release.
Design
Turn the agreed workflow into interfaces, architecture, milestones, and a build plan.
Build
Deliver in visible increments with working software, documented decisions, and regular review.
Launch & improve
Prepare production, release the product, monitor issues, and continue based on evidence.
04 / ENGAGEMENTS
A model that fits the work in front of you
Start with the smallest responsible commitment. The engagement can expand when the product, risks, and working relationship are clear.
011–3 weeks
Focused discovery
Reduce uncertainty before committing to a build. We define the workflows, technical risks, scope, architecture, and release plan.
IDEAL FORNew products, complex integrations, unclear inherited systems
02Milestone-based
Product build
A senior-led team takes responsibility for a defined mobile, SaaS, AI, or operational product from design through production.
IDEAL FORMVPs, new customer products, internal platforms
03Ongoing
Modernization pod
Add experienced product capacity around a live system—stabilize delivery, improve the foundation, and ship the next version.
IDEAL FORLive platforms, migrations, feature acceleration
THE FIRST 30 DAYS
Clarity first. Then visible momentum.
The first month should reduce uncertainty and create evidence. Exact timing changes with the product, but the sequence stays practical.
DAYS 01–0501
Understand the operating reality
Users, constraints, existing systems, decision-makers, and the commercial outcome are brought into one shared view.
USEFUL OUTPUTContext map + risk register
DAYS 06–1202
Make the important decisions
We define the first release, resolve the largest technical unknowns, and agree what should deliberately wait.
USEFUL OUTPUTRelease scope + architecture
DAYS 13–2003
Turn decisions into working software
The team establishes the delivery environment and implements a representative end-to-end product path.
USEFUL OUTPUTWorking product slice
DAYS 21–3004
Prove the delivery rhythm
A reviewed increment, visible backlog, quality checks, and the next milestone replace assumptions with evidence.
USEFUL OUTPUTDemonstrated increment + plan
05 / WHY KORTEX8LABS
Built for teams that value ownership
Fast enough to create momentum. Deliberate enough to build the right thing.
Senior involvement
The people discussing architecture and delivery remain involved in the work.
Full-product capability
Mobile, web, backend, cloud, and applied AI can move as one coordinated effort.
Commercial discipline
Scope, risks, milestones, and trade-offs are surfaced early and discussed plainly.
International delivery
Pakistan-based engineering with experience supporting products across multiple markets.
06 / PRODUCTION DISCIPLINE
Built to survive the week after launch
A professional product team plans beyond the demo. Delivery includes the operational details that make software maintainable, observable, and ready to change.
Decisions stay visible
Architecture notes, delivery risks, and product trade-offs are documented so the team can move without losing context.
Production is part of the build
Deployment, observability, compatibility, release planning, and operational support are considered before launch week.
Quality has multiple layers
Interface review, automated checks, data validation, security boundaries, and failure handling are built into the delivery rhythm.
ArchitectureDeliveryQualityLaunchSupport
ARFOUNDER / ENGINEER
07 / SENIOR LEADERSHIP
Meet Abdul Rehman at LEAP
A full-stack and mobile product engineer with approximately eight years of experience across consumer, enterprise, public-sector, and research-led technology products.
His work spans React Native, web platforms, backend systems, cloud deployment, identity verification, and applied machine learning.
Mobile + full-stackPublic-sector deliveryGraduate data science
Connect at LEAP 08 / TEAM
A senior core, shaped around the product
Kortex8Labs forms a focused delivery pod around the work—not a crowded bench. Senior leadership stays close while specialist roles join where they create leverage.
Named team profiles and approved portraits can be added once confirmed for publication.
Product engineering
Mobile & full-stack
User-facing products, complex workflows, cross-platform delivery, and the technical decisions connecting interface to backend.
React NativeWeb platformsBackend systems
Product design
UX & interface systems
Clear product flows, high-fidelity interfaces, design systems, and accessible experiences shaped around real users.
Product UXUI systemsPrototyping
Applied intelligence
AI & data systems
Practical machine-learning and language-model workflows grounded in evaluation, explainability, and product usefulness.
LLM workflowsComputer visionEvaluation
Delivery quality
QA, cloud & release
Testing, deployment, production checks, release coordination, and the operating discipline that keeps software dependable.
Test strategyCloud deliveryRelease support
09 / CLIENT TRUST
References that stand up to scrutiny
We do not manufacture anonymous praise. For relevant engagements, a direct client reference can be arranged after mutual fit and permission are established.
“
Senior access / 01Direct access to the people making the technical decisions.
The delivery conversation stays close to the work—from early scoping through production decisions.
What a strong engagement should feel like“
Visible progress / 02Working software reviewed in useful increments.
Progress is demonstrated through product behavior, not activity reports or long status documents.
What a strong engagement should feel like“
Commercial clarity / 03Risks and trade-offs surfaced before they become surprises.
A good partnership includes honest scope conversations and practical decisions about what to ship first.
What a strong engagement should feel likeVERIFIED REFERENCES
Relevant client references and approved testimonials are shared responsibly—not presented without permission.
Request a relevant referenceMEETING REQUESTS OPEN
10 / RIYADH · 2026Let’s use LEAP for a useful conversation
Bring a product idea, an existing delivery problem, or a system that needs its next version. We’ll identify the main technical risks and agree on a sensible next step.
EVENTLEAP 2026
LOCATIONRiyadh
DATES31 Aug–3 Sep
DURATION20 minutes
Product & architectureDelivery partnershipInvestor portfolio supportQuick introduction