Detection
How signals are caught
Traditional
Manual list building
Quarterly refresh from static databases
VeilStrat
Six types from live sources
Hiring, funding, web, tools, velocity, and journeys
Real-time AI adoption signals that show who is turning in-market.
Six signal types quality-gated into scored company timelines — hiring, funding, web activity, tools, velocity, and funding+AI journeys.
- All six signal types on one company timeline
- A confidence score on every signal
- Decision-ready rows — not raw job posts or page dumps
- Traceable snapshots with source context
Company timeline
Soda
24 scored signals · decision-ready view
85
Composite
Signal activity
This week
M
T
W
T
F
S
S
Stock vs flow
Traditional databases sell you contacts. We score the moment that matters.
A static intent database makes you guess who is in-market. Scored, time-stamped signals tell you which accounts are heating up right now — so reps work the ones that just got budget or started hiring.
Layer
Traditional database
Static intent & contact data
VeilStrat
Scored signal store
Detection
How signals are caught
Manual list building
Quarterly refresh from static databases
Six types from live sources
Hiring, funding, web, tools, velocity, and journeys
Verification
How intent is validated
Stale contact records
Round not in the database for days
Every event source-attached
Snapshots with jobs, URLs, and funding events
Scoring
How accounts are ranked
Black-box intent scores
Headcount data lags hiring by weeks
Proprietary score at write time
0–100 confidence on every timeline row
Alerting
When your team finds out
You never get the alert
Opportunity window closes before data lands
Same-day timeline row
Recorded the moment the signal fires
Verification
How intent is validated
Traditional
Stale contact records
Round not in the database for days
VeilStrat
Every event source-attached
Snapshots with jobs, URLs, and funding events
Scoring
How accounts are ranked
Traditional
Black-box intent scores
Headcount data lags hiring by weeks
VeilStrat
Proprietary score at write time
0–100 confidence on every timeline row
Alerting
When your team finds out
Traditional
You never get the alert
Opportunity window closes before data lands
VeilStrat
Same-day timeline row
Recorded the moment the signal fires
6
signal types on every company timeline
3
roles: BASE, COMPUTED, and COMPOSED
Weekly
refresh on Growth · daily digest on Pro
How signals work
Three roles, one timeline
Every signal is born as BASE, COMPUTED, or COMPOSED — describing how it enters the store, not a separate product SKU.
1BASE
Written from an external or crawled event.
- Hiring
- Funding
- Web AI Activity
2COMPUTED
Follow-on signals built as earlier evidence accumulates.
- Tool Adoption
- Hiring Velocity
3COMPOSED
A journey story when two base signals align in time.
- Funding + AI Activity
New hiring signals refresh computed tools and velocity rows — previous signals in, new signal types out.
Signal catalog
Explore every signal type
Six ways VeilStrat turns raw activity into scored timeline rows — each with its own judgment lens and GTM angle.
Data quality
Built for accuracy and depth
Every signal is traceable, scored for confidence, and enriched with company context — not a black-box intent score.
Signal store
6 types · V1Hiring
88Velocity
+240%Funding
$42MFunding+AI
PairedTools
27 cosWeb AI
LiveSignal catalog
Six signal types, one store
Every timeline row maps to a known signal type — no free-text custom signals in V1.
Live feed preview
S85
Soda
Hiring
Q20
Quadient
Hiring
F88
Fuller Technology
Funding
Live feed
Fresh signals every week
New activity lands on company timelines as sources update — not on a quarterly refresh.
Confidence at write time
High0–100
Med0–100
Low0–100
Confidence scoring
Scored at write time
Every signal carries a 0–100 confidence score grounded in evidence — not a quarterly black box.
Source evidence
Head of AI · careers/acme.io
Detected 2 days ago · job id attached
job_id · snapshot_url · funding_event
Source evidence
Traceable to source
Snapshots attach underlying facts — jobs, URLs, funding events — so reps can cite what fired.
Honest rows
AI SDR · NYC
AI SDR · Remote
ML Engineer · NYC
3 posts→1 hiring signal
Honest rows
Noise collapsed into decisions
Raw volume does not equal timeline volume — proprietary judgment keeps lists readable.
Use cases
Turn signals into pipeline
Pipeline
Fill your pipeline with in-market accounts
Hiring and funding signals surface companies investing in AI before they show up on static lists.
Timing
Reach buyers at the start of the cycle
Web AI and tool-adoption signals often fire months before a vendor is picked.
Qualification
Separate real buyers from tire-kickers
Confidence scores and composed journeys tell you which accounts are mid-investment, not just AI-curious.
Personalization
Open every conversation with evidence
Signal labels and snapshots give reps the exact angle — role, round, page, or tool — to lead with.
Pro API
Wire the same signals into your stack
The dashboard is the human product. Pro teams get firehose webhooks and REST access to the same truth — for CRMs, agents, and internal pipelines.
signals-api.previewPro
POST /v1/webhooks/subscribe
GET /v1/companies/{id}/dossier
GET /v1/signals?type={signal_type}
Push · Firehose
POST /webhooksWebhooks
Subscribe to signal types you care about. When a new row lands, we POST the event to your HTTPS endpoint — realtime, not a nightly batch.
Pull · Scalpel
GET /v1/*REST API
After a webhook ping — or on a schedule — pull company dossiers, company search, or slice search. Capped and fresh by design, not a warehouse sync.
- Pro plan only — Growth teams use the dashboard
- Fresh signals, not a full-history archive
- Firehose webhooks + REST scalpel — no MCP in V1
- Technical docs live on the dashboard app
FAQ
Frequently asked questions
What teams ask before they wire signals into outbound, agencies, or internal tooling.
A signal is one row on a company's timeline: a human-readable label, a confidence score (0–100), optional patterns explaining why, and a snapshot of the underlying facts. Listings, This Week, slices, and company sheets all read from the same signal store.
Turn siloed signals intocomplete company intelligence.
The moment a signal fires, it lands scored in your dashboard, CRM, or model. No recycling stale contact lists — six types, one timeline, fresh every week.
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