Jyväskylä Business Rally
Investor Day
For Startups
Investor Day for Startups
Jyväskylä Business Rally Investor Day features 8 curated companies raising either seed funding or series A rounds who will be presenting their business cases for investment. All the companies will be pre-screened and selected by the Investor Day Jury. Members of the jury are representing European and Finnish Business Angel Board members.
The Jury is looking for investment ready start-ups to pitch at the event that offer solutions for sustainability, carbon neutrality, performance and well-being and have:
- innovative business idea that is scalable and can be fitted to more than just one market
- evidence of customer traction as well as commited and competent team
- the ability to attract the attention of angel investors (you may bring current investor to the pitching event along with the start up team)
- clear ask for investors to join in and why this opportunity can’t be missed
The winning pitch will receive a reward:
The company with the best pitch will receive a ticket to attend the European Angel Investment Summit (EAIS) 2026 and the opportunity to present your company at the event.
Selected startups in 2026
Investment ready startups pitching at the Business Rally Investor Day 2026 are:

Roadial
Problem summary
Consumers and drivers face long waits, lack of transparency, and uncertainty about service quality in roadside assistance. The service network is fragmented, and poor coordination leads to higher emissions and wasted resources.
Solution summary
An Uber-style digital marketplace for towing and roadside services, complemented by an AI Call Center for real-time matching of customers and towing operators, scalable from Finland to the Nordics and beyond. Both B2C marketplace and white-label solutions for insurers and the automotive industry. Subscription-based models in both the B2C and B2B segments.
Investment sought: € 800,000
Nuanic
Problem Summary
Cognitive load and stress are major drivers of productivity, decision-making, health, and performance, but remain invisible and unmeasured in real-world environments. Existing solutions rely on subjective self-reporting or delayed, indirect proxies, lacking continuous, objective, real-time data.
Solution summary
Nuanic has developed a proprietary ring and platform that enable continuous, high-fidelity measurement of electrodermal activity (EDA) in real-world conditions, complemented by HRV and temperature measurements. Our adaptive modeling (DNE index) interprets raw physiological signals into actionable insights, enabling real-time feedback, team-level analytics, and integration with partner systems.
Investment sought: € 1,400,000 €
www.nuanic.comVerso Vision
Problem summary
Falls among older adults are a €25B+ annual burden in the EU, with 28–35% of older adults falling yearly and 20–30% suffering serious injury. Nurse shortages and overwhelmed care teams mean staff can't monitor every patient 24/7, leading to preventable injuries and costs.
Solution summary
Verso Vision provides a clinically validated, AI-powered fall prevention system that uses sensor-agnostic technology (cameras today, radar tomorrow) to detect patient movement, flag risks, and alert nurses in real time—no wearables required. This enables timely intervention and prevents falls.
Investment sought: € 1,500,000
www.versovision.comSala Secure
Problem summary
As research indicates, there is no inclusive authentication solution on the market, and users are struggling. Around 30-50% of the global workforce have a disability, neurodivergency or require additional support, and current authentication solutions aren't suitable for them. Furthermore, even neurotypical people struggle with current solutions.
Solution summary
Our solution is designed for security and usability, based on 10+ years of academic research in user psychology. SalaLogin is an all-in-one authentication solution that's universal, private and adaptable for all kinds of users.
Investment sought: € 300,000
www.salasecure.com
RSD (Rapid Structural Design)
Problem Summary
Traditional shipbuilding CAD workflows require tens of thousands of engineering hours before a full digital twin is available, locking in decisions too early and reducing design flexibility.
Solution Summary
RSD enables shipyards and design offices to capture design intent first, generate 3D models on demand, and keep design freedom longer. Our agentic modeling pipeline allows fast, easy, and smart line drawing, automated 3D generation, validation, and approval, all feeding into a digital twin.
Investment sought: € 300,000
www.rsd.fi
Umbrella Forensics
Problem Summary
Modern legal cases rely on digital evidence that is often unverified, fragmented, and easily manipulated. Existing legal AI tools analyse documents but assume the underlying data is reliable, creating risk in legal decision-making.
Solution Summary
Umbrella Forensics is building SENTRIX, a Legal Intelligence Infrastructure platform that verifies, structures, and contextualises digital evidence before AI analysis begins. This ensures that lawyers work only with trusted, court-defensible information.
Investment sought: € 928,140
www.umbrellaforensics.com
Sensible4
Problem Summary
Industrial, construction, mining and defence fleets face autonomy’s real scaling bottleneck: not proving a machine can drive once, but making entire fleets operate safely, reliably and affordably in the real world. These fleets lack skilled operators, run in hazardous off-highway environments, and lose productivity when expensive machines sit underused. Existing autonomy solutions are often OEM-locked, costly, slow to deploy, and too rigid for rugged terrain, changing sites and harsh weather. The missing piece is practical Physical AI: systems that can be deployed across real fleets, learn from operations, and improve over time.
Solution Summary
Sensible 4 is building a Physical AI platform for heavy off-highway fleets, starting with plug-and-play retrofit autonomy for Volvo A-series articulated haulers. Our system combines teleoperation, supervised autonomy, multimodal perception, AI reasoning, and operational data learning in one deployable product. It can be installed on existing vehicles and used on closed construction, mining, quarry, industrial and defence sites without turning each deployment into a custom engineering project. The goal is to make autonomy scalable in the real world: machines that can perceive, reason, operate under human supervision, and improve with every deployment.
Investment sought: € 700,000
www.sensible4.fi
Nordic Radius
Problem Summary
Diabetes affects over 800 million people globally, with numbers rising rapidly. Current glucose monitoring solutions are either:
1. Invasive – requiring frequent finger pricks or CGMs with skin-inserted sensors, leading to pain, infection risk, and discomfort.
2. Non-invasive options exist but are either inaccurate, expensive, or unreliable.
A solution that is both accurate and affordable is urgently needed.
Solution Summary
We are developing a compact, wearable (aim to make), non-invasive glucose sensor using specific IR light spectroscopy.
No Needles, No Blood – Uses infrared absorption to detect glucose levels.
Affordable & Accessible – Lower cost than existing CGMs.
Smart AI Processing – Machine learning algorithms enhance accuracy.
Cloud & Mobile Connectivity – Real-time tracking, alerts, and analytics for users and healthcare providers.
Investment sought: € 220,000
www.nordicradius.com





