Extract actionable Signals
from noisy, unstructured data.
Every output is an actionable Signal
Each signal is extracted from multiple sources, analyzed, scored, and delivered as a structured object. Outputs include summarized insight, linked sources, confidence scoring, and tracking for momentum and novelty.
Example Signal types
Killfeed Lab collects live demos and experiments built on the same signal engine—checkpoint crowd stress, structured news inspection, investment-relevant scans, and more—so you can browse outputs, limits, and methods in one place before extending the model to private workflows.
Explore operational and strategic signal experiments side by side: CrowdPulse TSA checkpoint views, Killfeed Brief-style article intelligence, reliability-banded scans, and other public builds. Lab is where we organize and explain what is live today.
Built on a unified signal model
Every use case runs on the same signal object schema. New domains require new inputs and classifiers, not new systems.
Request a proposal
This form is for teams with a real signal extraction use case. Share requirements, constraints, and timeline so we can respond with a scoped next step, not a generic pitch.
What happens next
- Intro call
- Architecture discussion
- Proposal with clear scope and outcomes
We review RFP-style submissions and prioritize engagements with clear scope and buying intent.