Frame
Pick one decision that costs money when it goes wrong, and agree how we will measure better.
Better decisions on the numbers that matter
We build AI-driven decision tools on your data and systems, so the calls that move your costs, revenue and risk are faster and backed by evidence. Or start with ready-made tools from our foundry.
Fewer guesses. Faster calls. Decisions you can defend.
Runs on your stack, under your rules
Your tools and systems
We connect to the data you already have: ERP, CRM, spreadsheets, telematics and meter data. No rip-and-replace.
Your data only works for you
We only use AI models whose providers don't train on your data. Anything we build from it is yours alone and never reused for another client.
Model and platform agnostic
We pick the model, platform and agent framework that fit the job, and can switch later. No vendor lock-in.
GDPR and Swiss FADP ready
Set up to meet EU and Swiss data protection rules, from simple businesses to highly regulated industries.
How we work with you
We start from one decision that matters, model it on your data, and put the answer where your team already works. A small setup fee, then you pay for what you use.
Model
Combine your data with physics, market and AI models to forecast outcomes and trade-offs.
Embed
Put the answer where your team works: a dashboard, your ERP, a spreadsheet or an API.
Improve
We track accuracy and retrain as your business and markets change. You stay in control.
For every team that makes costly decisions
Size capacity and shifts against real demand
Decide where to invest in equipment and sites
Schedule maintenance before failures cost you
Set inventory levels across locations
From our foundry
Decision tools we build, launch and run ourselves.
Energy & electrification · Live
Energy management and simulation
Size solar, batteries and charging for a site, then see the effect on grid peaks and energy bills before spending a franc.
On-site solar Depot demand Drawn from grid
Peak grid draw
72kW
−74% vs. baseline
Grid energy
868kWh/day
−43% vs. baseline
Solar used on site
82%
Illustrative depot: 24 electric vans, 11 kW chargers, spring day. The battery charges from on-site solar only. Compared with unmanaged charging, no solar, no battery.
Automotive & mobility · Live
EV battery health forecast
How a used EV's battery ages with time, mileage and climate, with the uncertainty shown honestly. Click the chart to set the vehicle's age.
Make & model
- Tesla Model 3 Long Range
- Tesla Model Y RWD
- VW ID.3 Pro
- Škoda Enyaq 85
- BYD Atto 3
- Hyundai Kona Electric 64 kWh
- Nissan Leaf 40 kWh
Climate
Expected battery health 80% interval Typical warranty floor
Battery health
92%
80% interval 90–95%
Real range, used
320km
When new: 350 km real · WLTP (OEM): 425 km
Illustrative model from chemistry, pack size, cooling and climate. Not SuperElectric production output.
The team
Víctor Sanjuán
Co-founder · CEO
Former Director of Strategy and Operations at SMG Swiss Marketplace Group, where he contributed to the 2025 IPO and a threefold EBITDA improvement. Previously COO and CFO of CAR FOR YOU, the automotive venture of AXA and TX Group, which grew from zero to a 51% market share. Earlier, he built digital ventures at Zurich Insurance and worked on M&A and infrastructure private-equity projects. He holds an MSc in Mechanical Engineering, graduating in the top 5% of his class, and an MBA from IESE Business School and the University of Michigan.
LinkedIn
János “Johnny” Lévai
Co-founder · CTO
Eleven years at Google Zurich, most recently as Tech Lead Manager and Staff Engineer across YouTube, Google Calendar and Google Flights. He founded and led Google's EV charging project in Area 120, Google's internal incubator, which was later integrated into Google Maps. In 2023 he founded JustShipIt GmbH to build SuperElectric and related decision tools. He holds a BSc in Computer Science.
LinkedInWhich decision costs you the most when it goes wrong?
Tell us in a few lines at contact@ifoundry.ai