AI & ML Consulting for US Companies
PhD-level AI and machine learning engineering for US clients. Computer vision, deep learning, LLM integration, and production AI deployment with Eastern/Pacific time zone overlap and HIPAA-aware development practices.
US Market Experience
Kortex8Labs serves US-based healthcare organizations, technology companies, and enterprises requiring production-grade AI systems. Our work includes medical imaging AI that achieved 99.55% accuracy with proper calibration, biometric verification systems processing tens of thousands of users, and LLM integration for domain-specific applications.
For US healthcare clients, we develop with awareness of HIPAA requirements including PHI protection, access controls, audit logging, and data encryption. While we're not a covered entity, our technical implementations support your compliance obligations through appropriate safeguards and documentation.
Time Zone & Collaboration
Based in Pakistan (GMT+5), we structure work schedules to provide overlap with US business hours:
- Eastern Time: Morning EST/EDT coverage for meetings, code reviews, and real-time collaboration
- Pacific Time: Multi-hour PST/PDT overlap for West Coast teams and late-day discussions
- Asynchronous workflows: Documented decisions, clear PR descriptions, and structured communication for round-the-clock progress
This positioning enables daily direct communication without forcing inconvenient meeting times on either side. US teams get morning availability for planning and evening availability for reviews.
Services for US Clients
Medical Imaging AI
Brain MRI classification, diagnostic image analysis, and medical computer vision with published research (Frontiers in Neuroscience 2026). HIPAA-aware architecture for PHI handling and model training on sensitive data.
Enterprise Computer Vision
Production computer vision systems for biometric verification, visual inspection, and image classification. Experience deploying systems that processed 40,000+ real-world verifications.
LLM Integration
Fine-tuning (LoRA/QLoRA), RAG systems, and production deployment of language models. Research on learning-outcome-aligned content generation with evaluation frameworks and human review workflows.
Federated Learning
Privacy-preserving AI across distributed datasets. Critical for US healthcare where PHI cannot be centralized across institutions. Research implementing FedAvg, FedProx, FedBN, SCAFFOLD, and MOON algorithms.
Deep Learning Engineering
Neural architecture selection, training optimization, model calibration, and production deployment. Expertise in vision transformers, CNNs, hybrid pipelines, and multi-seed evaluation for reproducible results.
AI Team Augmentation
Embed AI/ML engineers into US teams. Engineers work inside your sprint cycles, code reviews, and communication channels with time zone availability for real-time collaboration.
HIPAA-Aware Development
For US healthcare AI projects, we implement technical and organizational safeguards aligned with HIPAA requirements:
- Data encryption in transit (TLS) and at rest (AES-256)
- Access controls with role-based permissions and audit logging
- Minimum necessary principle for PHI access during development
- De-identification strategies where appropriate for model training
- Secure development environments with documented change control
- Business Associate Agreement (BAA) capabilities through cloud providers
Compliance awareness supports your HIPAA obligations but does not substitute for legal and compliance review. We recommend involving your Privacy Officer and legal counsel in project scoping and architecture decisions.
Engagement Models
Discovery Phase
1-3 week scoping engagement to assess technical feasibility, identify HIPAA implications, define architecture, and establish success criteria before committing to full development.
Product Build
Milestone-based development for complete AI systems. Senior-led team handles model development, evaluation, production deployment, and handover with documentation.
Team Augmentation
AI/ML specialists join your existing US-based team. Engineers work within your processes and tools with availability during US business hours for collaboration.
Frequently Asked Questions
- Does Kortex8Labs work with US-based companies?
- Yes. Kortex8Labs serves US clients across healthcare, technology, and enterprise sectors with time zone overlap for Eastern and Pacific hours. We maintain work schedules aligned with US business hours for real-time collaboration.
- How does Kortex8Labs handle HIPAA requirements?
- We develop with HIPAA awareness, implementing appropriate technical safeguards for protected health information. For regulated healthcare AI projects, we recommend involving your compliance and legal teams in architecture review and deployment planning.
- What time zones does Kortex8Labs support for US clients?
- Based in Pakistan (GMT+5), we provide working hours overlap with both US Eastern (EST/EDT) and Pacific (PST/PDT) time zones. Typical availability includes morning Eastern time and multi-hour Pacific time coverage for meetings and real-time collaboration.
- What AI services does Kortex8Labs provide to US companies?
- We provide medical imaging AI, computer vision systems, deep learning model development, LLM integration, federated learning for privacy-preserving AI, and AI team augmentation for US-based engineering teams.
- How do payments and contracts work for US clients?
- We work with US companies through standard consulting agreements. Discovery phases provide fixed-scope, fixed-cost assessment before committing to larger engagements. Milestone-based product builds and flexible team augmentation contracts available.
Discuss Your US AI Project
Share your AI challenge, regulatory requirements, and success criteria. We'll assess technical feasibility and propose an approach accounting for US compliance and operational constraints.
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