Track the innovations and Trends shaping the future of health, wellness and fitness
Powered by our proprietary AI Foresight Intelligence System, we track emerging innovations and trends, score their future market impact, and identify innovations that signal the potential to elevate health, wellness, and fitness markets.
Join Business leaders, Founders, Investors, Innovators, Marketers and Practitioners
Innovations and trends in health, wellness, and fitness are evolving faster than ever.
Most businesses see and act on trends too late. Every week, 1000’s of signals provide new technologies, products, consumer behaviours, and scientific breakthroughs reshaping health, wellness and fitness faster than ever.
But more information hasn’t made decision-making easier. It’s made it harder.
- What is real vs. hype?
- Which innovations will actually scale?
- How fast will markets shift?
- Where should you act now?
Most platforms give you information.
Few give you clarity.
The future is often buried in noise. Our Foresight System filters the noise into structured intelligence.
Elevate Ninety transforms fragmented signals into structured foresight.
We don’t just surface what innovations and trends are emerging, we quantify its potential, track its trajectory and connect it to real-world decisions through our Foresight Index.
So instead of reacting to change, you can anticipate it and act early before change becomes mainstream.
AI Powered System Built for Decision Making
Elevate Ninety is built on a dual intelligence model:
AI-powered detection + human foresight analysis. We turn raw signals and information into decision making intelligence.
A foresight intelligence system built for decision makers and innovators in health, wellness and fitness.
1. AI Signal Detection
We continuously scan thousands of signals across scientific research, clinical validation, product launches, patents, funding, mergers & acquisitions, behavioural shifts.
2. Structured Scoring
We convert signals into structured scoring for each innovation within the Foresight Index, a curated ranking system measuring future impact potential and market maturity.
3. Continuous Tracking
Combining AI and human analysis, we monitor how innovations and trends evolve, identifying acceleration, inflection points, market shifts and forces driving new innovation.
4. Decision Making Tools
We provide tools such as dashboards, real-time content, reports and AI assistants to ensure users have strategic answers at their finger tips to act early on forces shaping the future.
The Pulse Delivers Signals and Foresight Every Week
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Latest Signals
Dexcom’s expansion of Stelo continuous glucose monitoring to younger users, the integration of Ultrahuman’s metabolic platform with Abbott Lingo, the European launch of MiniMed Instinct sensors, and evolving coverage discussions highlighted at ADA 2026 collectively indicate that continuous glucose monitoring is evolving into a broader metabolic health platform rather than remaining solely a diabetes management device. Together, these developments point toward CGM becoming foundational infrastructure for personalised nutrition, preventative healthcare and consumer metabolic optimisation.
GRAIL’s $110 million financing from Samsung entities, new Mayo Clinic research using AI to identify pancreatic cancer years before diagnosis, Spotlight Medical’s IVDR CE Mark for its AI breast cancer test, Aidoc’s FDA Breakthrough Device designation for AI-generated radiology reports, and an NHS teledermatology evaluation published in the British Journal of Dermatology collectively indicate that blood-based diagnostics and AI-powered detection platforms are advancing in parallel. Together, these developments suggest the future of early cancer detection may be built on interconnected diagnostic infrastructure spanning molecular testing, medical imaging, pathology and digital triage rather than individual screening technologies.
UpDoc’s FDA-cleared clinical AI platform, Assort Health’s $120 million funding round, a Nature Medicine benchmark analysis of clinical large language models, research highlighting limitations of consumer health chatbots, and emerging California AI governance proposals collectively indicate an early divergence between regulated clinical AI companions and general-purpose consumer chatbots. Together, these developments suggest that future adoption will increasingly depend on clinical validation, governance, regulatory approval and integration into healthcare workflows rather than model capability alone.
Funding from ARPA-H for the OCULAB tear-duct biosensor programme, a University of Sydney sepsis monitoring patch, new implantable aptagel biosensor research published by ACS Sensors, and industry roadmaps outlined by diabetes technology leaders in MedTech Dive’s multi-analyte CGM report collectively indicate that continuous bio-sensing is expanding beyond glucose toward multi-biomarker monitoring. Together, these developments suggest the infrastructure for continuous clinical and preventative health monitoring is beginning to emerge across research, healthcare and commercial device ecosystems.