As much as another data source is being added to our ecosystem, it is also about exploring how one of the most natural humansignals can support a more connected, contextual, and clinicallygrounded understanding of health.
This is exactly the kind of work we believe in: bringing togetherstrong technology, careful validation, and the right partners tobuild health intelligence that can move responsibly fromeveryday life into care settings.
Proud to take this next step with Canary Speech, a U.S. based pioneer in vocal biomarker technology!
A partnership built around a simple but powerful idea: voice can become a meaningful part of the broader health picture.
We were recently in Utah at Canary Speech headquarters toformalize our strategic collaboration and take the next step in bringing vocal biomarker technology into HaloScape’s multi-modal health intelligence platform.
Voice is becoming a new layer of health intelligence.
We’re expanding HaloScape’s multi-modal platform through a strategic collaboration with Canary Speech, a Utah-based U.S. pioneer in vocal biomarker technology.
Together, we will integrate voice analysis into HaloScape’s sandbox environment, adding voice-derived screening signals across Mood, Stress, Vocal Energy, Wellness, and Mild Cognitive Impairment.
The collaboration also opens a clinical research arm focused on IRB-approved Turkish-language validation of vocal biomarker signals for Generalized Anxiety Disorder and Major Depressive Disorder, reflecting our validation-first approach before production deployment.
From wearables and IoT devices to lab results, medical records, biomarkers, and now voice, we’re building a richer health intelligence layer for individuals, healthcare professionals, and the broader health ecosystem.
More to come!
Health is emerging as a strategic data layer for industries far beyond healthcare. And intelligence is becoming part of the infrastructure behind better risk, trust, and personalization.
This year at @money2020 Europe, HaloScape will join the conversation on how verified, continuous health data can create a new intelligence layer for InsurTech and Finance through HaloGuard, one of our key vertical solutions.
📍Meet us at Booth SH04 and on the Startup Stage during our pitch as we share how HaloScape connects health signals with the systems shaping tomorrow’s financial services.
In the months ahead, we’ll contributing where our research in AI-driven health intelligence overlaps with the broader scientific exchange and exploring academic collaborations as we continue our clinical validation work in the US.
We were warmly hosted at the Academy’s offices in New York recently, had a conversation that grounded everything we hope to build from here.
Thank you to the entire NYAS team for the welcome. Here’s to the first of many! 🗽🧬
HaloScape joins @NYASciences !
NYAS Science Alliance is a community of universities, teaching hospitals, and research institutions advancing science across disciplines. For a team that operates at the intersection of AI, clinical research, and consumer health, this is a network we’re proud to be part of.
Through the Science Alliance, our research team gains access to NYAS’s scientific programming, peer network, and one of the most established research communities in the United States.
Following our allocation on MareNostrum 5, HaloScape has been granted access to LUMI, the EuroHPC supercomputer operated by CSC in Kajaani, Finland.
⏩LUMI ranks 9th on the TOP500 with 379.7 petaflops of HPL performance, and runs entirely on carbon-free hydroelectric energy.
Over half of its capacity supports AI research and innovation across Europe.
The allocation will be used across HaloScape's AI model development, including HaloXRgCT and the other training and validation work behind our clinical and consumer products.
Healthcare AI is bottlenecked less by ideas than by the compute to train and validate them at clinical scale. Access to two of Europe's top-tier systems changes what is feasible for us in the next twelve months.
Many thanks to EuroHPC Joint Undertaking (EuroHPC JU) and CSC - IT Center for Science.
Continuous, real-world data is becoming an essential layer in clinical research.
Wearables can help move trials beyond episodic measurements by enabling longitudinal monitoring, earlier signal detection, and more patient-centered endpoints.
The next step is clear: better validation, standardization, and clinically meaningful digital biomarkers.
👨🔬 Wearables in Clinical Trials.
Wearables enable continuous, real-world endpoints in trials. In 1,021 studies (2001–2025), key roles include drug effects, dosing, adherence and delivery optimization. Adhesive patches lead adoption.
Regulatory qualification remains limited; SV95C is the only example. Validation and standardization are critical gaps.
📖 @NatRevDrugDisc
DOI 👉🏻 https://t.co/PJonJgdBFF
#CánCare #oncology #clinicaltrials #digitalhealth #biomarkers
Infrastructure of this scale changes what's possible. It compresses timelines, raises the ceiling on the science we can pursue, and lets us contribute back to the field in fast pace.
Special thanks to TÜBİTAK for representing Türkiye inside EuroHPC, and to BSC for hosting the AI Factory that makes research like this possible.
More on HaloXRgCT as training progresses.
We've been granted national access to MareNostrum 5, the 8th most powerful supercomputer in the world.
MN5 sits at the Barcelona Supercomputing Center, runs at 314 petaflops, and was built under EuroHPC through a joint initiative of Spain, Portugal, Türkiye, and later Romania.
Our allocation goes to HaloXRgCT, our most ambitious research model to date.
@Samir_Qamar All of this, and the quieter part: patients already generate HRV, sleep, resting HR, SpO2 continuously on their wrist. Most of it never reaches the physician who could use it, or the system that could learn from it.
That gap is where prevention either works or doesn't.
Different wearables capture the body differently. That is why a unified data layer matters. The goal should not be locking people into one device, but letting them choose their own data sources and bring all those signals into one place. Only then can fragmented measurements be compared, contextualized, and turned into meaningful insight over time.
@pitdesi This is exactly why a unified data layer matters. Different wearables capture the body differently, so you need the freedom to choose your own data sources and bring them into one place, where the full picture can be compared, contextualized, and made actionable over time.
That is where continuous tracking becomes useful. Resting heart rate and HRV are not just fitness metrics in isolation. They help show how metabolic health, recovery, and daily behavior are shifting together over time.
The real value is in seeing these signals as part of the same system, not as separate charts.
What’s still missing is the unified layer that brings all of this into one place.
Not just more devices, supplements, apps, and subscriptions. A way to track them together, connect the signals, and understand what is actually changing across recovery, load, sleep, stress, and performance over time.
The next step is not more health inputs. It is making them interpretable as one system.
Completely agree. The challenge is usually not just collecting the signals. It is making them reliable, clinically interpretable, and useful in context over time. Most platforms do one or two pieces well, but very few bring the full picture together in a way that is actually actionable for performance and health.
Most people assume glucose spikes only come from obvious sources like candy or soda. But some everyday “healthy” foods can raise blood sugar faster than expected.🥤
What happens next (the crash) is where the energy dips, cravings, and brain fog come from.
🥑 The good news: small changes in how and when you eat can make a real difference. Swipe through for the data and four research-backed ways to flatten the curve.
Save this for your next meal prep day. 🍒