Foresight technology built from real practice.
Envisioning has worked on technology foresight since 2011. Signals is the product we built from that work, for teams that need to examine change and keep working with what they find.
We built Signals for the work we do ourselves.
Envisioning has spent years building radars, research methods, and signal collections with organizations trying to understand technology change.
When large language models became useful for structured research, we rebuilt the workflow around multiple models, structured signals, source verdicts, and repeatable runs. The result is research teams can return to instead of a one-time answer.
A report is only one moment in the work.
Traditional foresight projects can:
- move more slowly than a strategy timeline allows;
- cost too much to run often;
- leave teams with reports that are hard to update.
Signals gives teams a way to keep the work moving. They can refresh the research as conditions change, inspect the evidence, and keep building on the same Workspace.
How we think about the work.
We compare model outputs instead of trusting one answer. Agreement and disagreement both stay visible.
Signals, metrics, categories, and sources stay structured, so your team can return to the work later.
Models handle scale and first-pass synthesis. People frame the question, interpret the results, and decide what matters.
A scan gives you a starting point. The Workspace keeps the work available as the world changes.
AI gives research a different cadence.
AI makes it practical to cover more ground and refresh the work more often. People still do the parts that need judgment: framing the question, interpreting the results, and deciding what matters.
We also believe research should be open where possible. Much of what we produce is public, and the work is designed to be reused, extended, and shared with partners.
Signals is built and operated by Envisioning, an interdisciplinary team spanning product, research, facilitation, and design, supported by a growing global network of certified delivery partners.
What teams say after using Signals.
“Signals research made my year!”
“Intuitive, practical, and rich in insights.”
“A nice cocktail of new opportunities to explore.”
“It didn't just come through my lens, it ran through every model and showed the convergence. That gave the research real legitimacy.”
“The signals and the reasoning coincided with a lot of the work we're already doing. The results were great.”
“The most valuable asset is trend momentum, the speed to generate an accurate visual that scans the latest news.”
“In R&D a topic area used to take maybe three years. Now we can run several topics in a few-month process.”
“Instead of sifting 400 components, Signals hands us 100 we can narrow to 60 to build use cases on. I can see how that elevates our capability.”
“You can verify the outcomes and build confidence over time. I can see the value in that.”
“I can see applications for this in so many moments here at the cooperative, even beyond the radar. It really makes sense.”
“A tool that aggregates the findings and drafts the initial structure would cut our manual work and speed up how many publications we can produce.”
“You saved us lots of work!”
“I thought it was sensational. Really, really impressive.”
“It's powerful to be able to tailor a scoring system to define what impact looks like for your specific area.”
“You're building a source library for a specific area of research. That's a genuinely useful thing to have over time.”
Bring us a theme you want to understand.
We will turn it into research your team can discuss.