[background image] image of a modern office space (for a ai healthcare company)

Built
for execution

We practice what we implement, with full deployment handled by our in-house team. Our architecture is built on MAS (multi-agent systems) and is deployable across AWS, GCP, or hybrid environments. We provide on-demand AI engineers and architects, and our internal agents power our own research, sales, and QA. All of this is backed by a network of certified partners.

Know more

Cancer Treatment Protocol

An AI-powered tool that helps oncologists generate accurate,
evidence-based breast cancer treatment protocols.

What It Does?

  • Uses patient specific data

  • Generates treatment protocols aligned with guidelines

  • Phase 2 & 3 clinical trials

  • Supports all stages of care: from diagnosis to post-treatment review

  • Integrates into tumour board workflows

Why It Matters?

  • Breast cancer is the #1 cancer in the UAE
    . 1,456 new cases in 2023

  • Manual planning causes delays & variability
    . A 4-week delay increases mortality by 10%

  • Many hospitals lack consistent access to expertise
    . Over 77% of cancer patients are Non-Emirati, often treated in under-resourced centres

What It Solves?

  • Reduces doctor workload and human error

  • Enables junior doctors to follow gold-standard protocols

  • Helps tumour boards reach consensus faster

  • Improves treatment equity across public and private hospitals

  • Aligns with MOHAP & DHA digital health priorities

  • Avoidable loss of life.

Benefits for Patients

  • Faster Treatment = Higher Survival Rates
    . Reduces long-term care costs

  • Personalised, Evidence-Based Care
    ‍. Decreases unnecessary treatments & hospital readmissions

  • Improved Access Across Facilities
    . Cuts travel & private consultation costs

Benefits for Doctors

  • Up to 70% Reduction in Planning Time
    . Saves clinician hours

  • Junior Doctors Perform at Senior Level
    . Reduces dependency on costly senior staffing

  • Traceable, Explainable AI Support
    . Lowers medico-legal risk & associated insurance premiums

Benefits for Hospitals

  • H2x Patient Throughput per Day
    . Higher revenue per doctor without increasing headcount

  • Cost-Effective Pathway Suggestions
    . Charity hospitals: AI recommends lowest-cost compliant treatments
    . Private hospitals: Saves on unnecessary tests, reduces malpractice risks

  • Reduced Protocol Errors & Litigation Exposure
    . Avoids legal costs tied to misdiagnosis or incorrect treatments

  • Audit-Ready Workflows
    . Saves on administrative overhead for compliance

Benefits for Governments
& Policy Makers

  • National Alignment Reduces Survival Disparities (2.9%)
    . Avoids social & economic costs from regional inequity

  • Supports MOHAP/DHA Digital Health Strategy
    . Enables scalable public-private AI adoption

  • Helps Reduce the £3.6B/year Economic Burden of Breast Cancer
    . Through early detection, standardised treatment, and outcome-driven care

Lead generation for a penny

Sales teams constantly face the challenge of identifying the right leads, nurturing prospects, and closing deals efficiently. For our partners at FuseBase, we’ve developed an Automated Agentic AI Lead Generation application that operates 24/7 through a coordinated team of specialised AI agents. These agents autonomously scan and qualify high-potential leads, engage prospects with personalised outreach, score and prioritise based on intent, and automate follow-ups—allowing sales teams to focus on closing. At SensAI, we harness the power of Multi-Agent Systems (MAS), where intelligent AI agents work collaboratively to optimise workflows, adapt in real time, and boost productivity. This approach not only accelerates decision-making but also scales seamlessly across enterprise operations, enhancing human-AI collaboration for superior outcomes.