A fixed-scope, facilitated engagement where we run our multi-model AI research workflow on your challenge and deliver an interactive, decision-ready information product—an interactive radar and findings kit that helps close strategic intelligence gaps quickly. It also includes a full year of the Signals Starter plan, so your team can keep working with the research after the session. Each radar automates the equivalent of weeks of expert analyst work, including signal sourcing, vetting, summarization, and categorization.
Step 1
Brief
You share the strategic question, sector context, and decision timeline.
Step 2
Scan
We run parallel prompts across frontier models to map the signal landscape.
Step 3
Converge
We compare model overlap and divergence to surface strong and emerging signals.
Step 4
Verify
Signals are source-checked and reliability scored before synthesis.
Step 5
Deliver
You get a shareable radar and structured findings your team can use immediately.
Our team runs the scanning, classification, and synthesis process from start to finish.
A standardized set of scans builds coverage across your priority question and context.
Benefit from our team's experience in interpreting weak signals, connecting dots across industries, and surfacing non-obvious patterns early.
Move from framing to evidence-backed outputs in days rather than months.
The engagement bundles a full year of the Signals Starter plan, so your team keeps the account and can carry the research forward.
You focus on decisions while we handle setup, prompting strategy, and signal curation.
Get strategic outputs without training your team to operate a non-deterministic research workflow.
Use shared evidence and narratives to build strategic confidence and bring teams to the same baseline quickly.
Benefit from a tested process that blends foresight practice with AI-native research methods.
Translate weak signals into concrete implications packaged as a repeatable information product your team can prioritize and execute.
Multi-Model Convergence Method
See how we use model agreement for signal strength and model disagreement for novelty detection.
Read the method
How services work together
Compare the Signals Session, the self-serve Signals platform, and Bespoke delivery models before choosing your next step.
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