Signals
Maisy Signals · Predictive Intent
Know which companies may need you before they start searching.
Signals analyzes public business activity to identify companies showing early signs of an emerging need for software, SaaS, IT and other professional services.
Instead of waiting for a prospect to fill out a form or post that they need help, Signals looks for the changes that often happen before a buying decision becomes obvious.
Predictive opportunities, scored from public data. No giant static lead database.
Hiring activity
A growing company suddenly opens engineering, operations or systems roles that point to new technical needs.
Business change
A launch, expansion, new office, new product, funding event or leadership change creates new operational requirements.
Technology friction
Reviews, job posts, site changes and public complaints reveal problems that software or outside expertise could solve.
Predicted need, not expressed intent
By the time a company says “we need a vendor,” everyone can see the opportunity.
Signals is designed to find the opportunity earlier.
Companies leave traces when they grow, change systems, launch products, hire new teams, lose customers, receive poor reviews, expand into new markets or encounter operational friction. Individually, these events may mean very little. Together, they can form a pattern that suggests a business need is emerging.
Signals turns those patterns into a ranked prediction of who may need what you sell — and why now.
How Signals works
Public data goes in. Prioritized opportunities come out.
Define your ideal opportunity.
Tell Signals what you sell and what kinds of companies are a fit — for example software development, SaaS implementation, managed IT, consulting or another B2B service.
Signals watches the market.
It collects public indicators across company websites, hiring activity, news, press releases, public records, reviews, business listings and other accessible sources.
The Predictive Intent Model scores the evidence.
Signals weighs multiple factors together rather than treating one keyword or event as proof of intent.
You get the strongest opportunities.
Each matched company includes the predicted need, supporting signals, a score, freshness and a public contact path when one can be identified.
The Predictive Intent Model
One signal is interesting. A pattern of signals can be actionable.
The model is designed to combine dozens of public data points and weight them based on how strongly they correlate with an emerging need.
Need Strength
How strongly do the combined signals suggest a specific business problem or initiative?
Timing
Are the indicators recent enough that the opportunity may still be developing?
Fit
Does the company match the size, industry and characteristics of the businesses you want to reach?
Confidence
How many independent data points reinforce the same predicted need?
Signals is not trying to prove that a company has decided to buy. It is estimating the probability that a relevant need is emerging.
What Signals looks at
Business change creates clues.
The system can evaluate many categories of public information as evidence. The specific mix depends on the market and service being predicted.
No single source determines the result. Signals is built around multi-signal analysis.
A different kind of lead
Not “someone downloaded a whitepaper.” A reason this company may need you now.
Mid-market software company · SaaS implementation opportunity
Hiring
Several new operations and integration roles opened in a short period.
Expansion
The company announced a new product line and expansion into another market.
Friction
Recent public reviews mention workflow and support issues consistent with scaling problems.
Predicted need: integration, workflow automation or SaaS implementation support.
Why now: multiple recent signals point toward operational complexity increasing faster than the internal team.
Fresh by design
The opportunity matters because the signal is happening now.
Signals is not meant to become another massive database of old companies and stale contacts. The value comes from detecting change, evaluating it quickly and surfacing the companies whose needs may be developing right now.
Fresh
Recent signals are prioritized because buying conditions can change quickly.
Explained
You see the evidence behind the prediction instead of receiving an unexplained score.
Reachable
When public contact information exists, Signals includes a practical path to the company or decision-maker.
Built for B2B growth
Enterprise-style intent intelligence without an enterprise sales operation.
Signals is being designed for service firms, software companies, consultants and other B2B teams that need a better way to decide who is worth contacting today.
You should not need a data science team, a giant outbound department or five different sales tools to benefit from predictive intent.
Signals does the research and prioritization. Your team decides how to act on it.
Starting with software & SaaS
Our first model is focused on companies developing a need for technical services.
The initial Signals model is being built around opportunities such as software development, SaaS implementation, systems integration, workflow automation, managed IT and related professional services.
That focus lets us test the model against a market where hiring, technology, growth, company announcements and operational changes create useful public evidence.
As the model improves, the same approach can be adapted to other B2B markets.
Maisy Signals
Find the need before the buying process starts.
Signals is currently being developed and tested with early users. Tell us what your company sells and the kinds of opportunities you want to identify.
No credit card required.