Pulse is the intelligence and data layer for reliable AI workflows. It collects, structures, and continuously updates public data, financial statements, signals, and organizational changes — so analysis and automation stay grounded in reality.

Pulse replaces manual “background work” with a structured intelligence layer: data collection, normalization, monitoring, and analysis — packaged for both humans and AI agents.
Pulse replaces manual “background work” with a structured intelligence layer: data collection, normalization, monitoring, and analysis — packaged for both humans and AI agents.
Pulse brings together public sources, financial statements, signals, and updates into a consistent structure. You work on one clean layer — not scattered inputs.
Pulse continuously tracks relevant changes and surfaces what matters: new signals, meaningful deviations, and updates in your target domains.
Ask for a situation report, comparisons, summaries, or deep dives. Pulse produces analysis that is traceable and grounded in the underlying data.
Pulse links entities, roles, and organizational context to improve accuracy in routing, reporting, and approvals — without relying on guesswork.
Pulse is designed to feed Flow’s agent swarm with verified inputs. Flow then routes outputs through approvals before actions or updates sync to other systems.
Normalization, deduplication, and provenance-aware structuring reduce ambiguity and increase trust in every insight and output.

Detect meaningful changes: news, recruitment shifts, operational updates, and other measurable signals.
Generate situation reports, summaries, benchmarks, and comparisons — grounded in structured inputs.
Use Pulse inside Flow for governed execution, or export structured data to your analytics and reporting stack.
Add domain intelligence that generic datasets miss — useful for research, monitoring, and decision support.
Normalization, deduplication, and provenance-aware structuring to reduce ambiguity and increase trust.
Use fresh financial statements and structured metrics to support reliable analysis and monitoring.