The Swiss AI platform for organizations
HontoFlow
Capture knowledge. Improve decisions. Repeat.
Why HontoFlow
Bring AI out of the chat and into your organization.
HontoFlow puts AI to work where work happens: in projects, processes, and teams, connected to your data and systems. Not single answers, but ongoing research, analysis, and preparation. Teams understand faster, decide better, and get more done in the same time.
Work runs in cycles: gather, understand, decide, learn. The cycle was never the hard part. The hard part is carrying what you learned into the next one, just when everyone has to move on. HontoFlow closes that loop, and keeps it running. We call this Continuous Inquiry.
That's the next productivity leap: not a faster way to ask questions, but a new pattern of work.
For organizations
AI shouldn't be kept busy. It should be busy.
Most AI tools work on demand: one question, one answer, then they wait for the next prompt. HontoFlow agents keep working in the background. Your teams start the day informed instead of searching. AI that keeps researching, analyzing, and preparing as your work evolves.
Running again is not the same as learning.
You can run the same analysis every month and learn nothing, if each run starts from zero. A loop is different: what you learned last time is where you start this time.
01
Assignments, not prompts.
HontoFlow handles multi-step assignments and brings together information from your data and systems. Run it once for an answer. Or let it repeat: the analysis stays current, and every pass makes it better.
02
Spot what matters early.
Changes, open questions, and risks become visible before they become problems. Not at the next review: as they happen.
03
Decisions come prepared.
Teams get well-prepared information, traceable sources, and concrete next steps. Prepared while you work, ready when you decide.
04
Knowledge that grows: the closed loop.
Approved results and feedback expand your organization's context. Every assignment makes the next one better. Your organization doesn't just get faster. It gets better at getting better.
Your rules. You decide the models, the access, and the limits of autonomous work.
Proven in production
Our own products run on HontoFlow.
Product
beecrowdy
BeeCrowdy is our platform for location and mobility data, built for Swiss tourism organizations, municipalities, and cities.
beecrowdy.ch →
Industry
Swiss precision industry
At a Swiss maker of precision machine tools, HontoFlow explains machine data right on the production floor. Engineers get the full picture in seconds: chart, analysis, conclusion. And every explanation feeds back, so the next one is sharper.
Control and independence
Built in Switzerland. Made for Europe.
You decide where HontoFlow runs and where your data lives: in Switzerland, in Europe, or on your own infrastructure.
You stay independent of any single AI model, adapt language and domain context to your organization, and keep control at every step, with every answer traceable.
AI prepares, continuously. You decide, always. Nothing enters your organization's knowledge without your approval.
About Hontolab
Real AI for the real world.
Honto is Japanese for what is real and true. In that spirit, we build systems and algorithms for real data, real tasks, and sound decisions.
Simple and creative, yet not simplistic.
For years we have built production systems for data analysis, forecasting, and swarm and agent algorithms. Before building our own products, we built solutions for others, among them Crowdless, a visitor forecasting system for tourist destinations developed with MyData and later adopted by Swisscom, and the PsiAnalyzer for customer research at Vendbridge.
"Outstanding statistical analyses, expertise in data mining and predictive analytics."
Swisscom
"Business critical for us: we can completely rely on the tool."
Vendbridge
Ready to start
Make more of what your organization knows.
Whatever loop your team runs: reviews, forecasts, experiments, retros. We help you close it.
Tell us what you're working on. We'll show you how HontoFlow gets to work.