Act before the bid board.
Win before the crowd.

Signal monitors public-owner activity — board meetings, capital improvement programs, budget documents, facilities assessments, planning sessions, and procurement-adjacent publications — and detects projects while they're still forming. By the time a project hits the bid board, the field is crowded and the spec window is closed. Signal surfaces opportunities while there's still a pursuit window.

BD leads and estimators at public-construction contractors — general, specialty, and heavy-civil — the people whose job is to be in front of an opportunity before the RFP drops. Signal is optimized for proactive pursuit, not reactive bidding. If your team measures success by relationships built before bid day, Signal is built for you.

Public owner activity — board meetings, capital improvement programs, budget documents, facilities assessments, planning sessions, state licensing and permit filings, bond ballot language, and procurement-adjacent publications. The platform models both sides of the market: each of the ten trades we cover has its own signal sources and trigger language, and each of the ten public buyer types has its own planning and funding patterns.

The AI reads long-form public records and finds the weak signals a human would miss. It connects evidence across meetings, infers the project’s stage (spark → planning → budget → scope → pursuit → bid), and packages it all as a brief your team can act on. Each brief carries confidence, stage, sources, and recommended next moves.

A one-page view of a forming project: project name and category, current lifecycle stage with confidence score, estimated size and pursuit window, key stakeholders with roles and contact info, recommended next moves, and the source documents that drove every inference. Designed for a BD lead to scan in under a minute and decide whether to engage.

Signal extracts the people who appear in the public record around a project — facilities directors, civil engineers, consultants, planning officials — with their roles and contact information where it's publicly available. The stakeholder map is the input to relationship-building, not the output of a static contact database.

Stage inference is anchored in observable evidence — bond approvals, budget line items, facilities assessments, board agenda items — and every brief shows the evidence that drove the call along with a confidence score. We'd rather show a lower-confidence brief with citations than a high-confidence brief with no traceability. If the system can't show its work, it doesn't ship.