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Signal AI·co5

The Signal AI alternative for operators who need
the meaning, not just the briefing.

Signal AI gives you what today is — briefings, alerts, dashboards, the cited answer. co5 gives you what today means: the pattern your brand is forming, and the response research already validated for that pattern. Booleans don't make you right more often; pattern + doctrine does. Tuesday or crisis, you walk in with the call — pressure-tested.

Why operators choose co5
groups
Five lenses, cross-challenged. The verdict is what they had to stand on.
Ask AIQ retrieves over the External Intelligence Graph and generates a cited answer. The Council of 5 dispatches five specialist analysts who reason against each other — different models, different lenses — and cross-challenge before the judge synthesizes the verdict. They don't agree their way to it. The pressure test is the artifact.
tune
Calibrated against your brand's norm — Tuesday or crisis, the read knows the difference.
A noisy day inside your norm doesn't false-alarm. A quiet day outside it doesn't get missed. Anchored against an external prior — so the read holds even on a new entity, and history reaches past Signal AI's 18-month retention ceiling.
show_chart
A pattern, not a boolean — and the research-backed move for that pattern.
A century of crisis communication and reputation research mapped the patterns — polarization, accumulating concern, dormant arc reactivating, narrative velocity — to the responses that work for each. co5's shape doctrine names the pattern your brand is forming AND surfaces the playbook research already validated. Signal AI's Topic Trends shows the line moves. co5 names the move and the right next step.
fingerprint
A specific recommended action, doctrine-anchored.
Coombs crisis tier when the moment demands it. Shape playbook when the pattern is forming. Each verdict carries a doctrine reference. When the question comes — and it will come — you open the analyst trace, the baseline drift, and the doctrine grounding the call.
request_quote
Reading the state card next Tuesday, not next quarter.
Entity-tiered (5/12/25/enterprise). 3-month trial. Self-serve setup — no professional services to stand up a 15-pillar dashboard, no multi-quarter implementation, no enterprise contract opacity.
05 · Side by side

The comparison.

Decision-moving rows across the categories operators actually weigh — detection, interpretation, output, and the workflow specifics of the tool you're comparing against.

Feature
Signal AI
External Intelligence · Risk + Reputation
co5
Intelligence layer
01 · Detection
Will it find what matters?
Material / impact-weighted sentiment
remove
entity-level transformer
check
materiality + council
Broad multi-source listening (226 markets, 120+ languages)
check
~5M docs/day, Signal AIQ core
remove
curated set
Influencer identification + weighting
remove
via External Intelligence Graph
remove
smaller scope; not the differentiator
Real-time alerts across channels
check
real-time push, 30+ channels
remove
scan-based 1-24h
02 · Interpretation
Will it read what it finds correctly?
Calibrated baseline per brand (normal range)
close
trend visualization only
check
Bayesian + Perplexity prior
Historical context beyond 18 months
close
18-month retention ceiling
check
anchored standing, no ceiling
Narrative shape detection (polarization, frame-velocity, normal-range drift)
close
Topic Trends ≠ named patterns
check
Multi-analyst council deliberation
close
AIQ: single-stage RAG
check
Council of 5
Crisis tier classification (Coombs-grounded)
close
check
03 · Output & Defensibility
What does it deliver — and can I defend it?
Delivers an interpreted verdict
remove
Ask AIQ cited answers, briefings
check
verdict + reasoning + action
Reasoning visible per verdict
remove
RAG citations
check
analyst-level traces
Recommended action with doctrine reference
close
check
Coombs / shape playbooks
04 · Risk + Reputation Surveillance
Does it run the surveillance surface across risk pillars?
Multi-pillar risk dashboard (Geopolitical, Supply Chain, Cyber, Legal, Regulatory, etc.)
check
Signal AI's 15-pillar Risk Intelligence core
remove
covers brand-impacting risk dimensions — not organized as fixed CRO pillars
Entity ↔ topic relationship tracking
check
External Intelligence Graph substrate
remove
narrative-frame + story-arc tracking — entity↔topic↔time relationships
Real readership data (publisher first-party)
check
via Memo acquisition
close
no first-party publisher data
Auto-scanned briefing surface (risk + reputation topics)
check
Reputation Risk Briefing beta, CRO-organized
remove
auto-scans brand-impact topics; comms-leader-organized
Geographic risk views (heatmap + world map + theme landscape)
check
treemap + geographic visualizations
remove
state-card + story-arc visualizations; no geographic / heatmap views
05 · Commercial
Does it fit my budget + workflow?
Transparent published pricing
close
enterprise gated, contact sales
check
Operator-scale tiers (5/12/25 entities)
close
enterprise CRO/CCO rollout
check
3-month trial · cancel anytime
close
check
Self-serve setup (no PS engagement required)
close
needs PS for dashboard config
check

Signal AI tells you what today is. co5 tells you what today means. The rows above show where the architectures split — and that's the read.

check
Full
remove
Partial
close
Not present
As reported by the field

Organizations still don't have an effective radar to get ahead of threats and opportunities.

The meaning

Signal AI tells you what today is. co5 tells you what today means.

02 · Credit where it's due

What Signal AI does well.

Signal AI has built one of the most credible enterprise external-intelligence stacks in the category — Battery Ventures-backed with a $165M growth round in September 2025, 650+ customers including 40% of the Fortune 500 (Deloitte, HSBC, Bank of America, Google, Diageo, Bloomberg, Volvo, Uber), and an External Intelligence Graph that ingests ~5 million news, regulatory, broadcast, podcast, and social documents per day across 226 markets and 120+ languages.

The architectural specialty is real: a 15-pillar Risk Dashboard (Geopolitical, Supply Chain, Legal, Cyber, Regulatory, and more), entity-level transformer sentiment, and a knowledge-graph substrate that maps relationships between organizations, spokespeople, and topics over time. Recent acquisitions — Kelp (corporate reputation), Social 360 (social monitoring), Memo (first-party readership data) — extend the surveillance breadth. If your primary need is enterprise-grade risk surveillance for a Chief Risk Officer buyer across multiple jurisdictions, Signal AI is one of the few platforms in the world built specifically for that job.

We don't compete for that job. We compete for the moment after surveillance — when someone has to read what's happening and decide what it means against the brand's calibrated norm.

03 · Compose, don't replace

You don't have to choose.

If you already run Signal AI, keep it. co5 plugs in as the interpretation layer on top — you don't replace your external-intelligence stack to gain a decision-intelligence stack.

Signal AI's surface — Ask AIQ, briefings, alerts, dashboards, the External Intelligence Graph — exposes mention streams, entity-level sentiment, topic signal, and risk-pillar shifts. co5 ingests it and runs the council interpretation on top: calibrated baseline, shape doctrine, council deliberation, doctrine-grounded action.

Operators in evaluation pick stack more often than they expect to. They keep the Signal AI surveillance their teams already rely on (especially for CRO-facing risk pillars). They add co5 for the decision artifact AIQ wasn't structurally built to produce — the daily verdict, the calibrated drift read, the council's disagreement made visible.

Signal AI surfaces the situation. co5 reads the meaning.

Output
Verdict · Reasoning · Recommended action
arrow_upward
Intelligence layer · co5
Calibrated baseline · Shape doctrine · Council deliberation · Audit trail
arrow_upward
Data layer
Signal AI · Brandwatch · Meltwater · APIs · Direct feeds
AT

"The existing tools were built when more volume was all that was possible. That world has evolved. I built co5 for the one we're in."

Abhishek Tiwari
Founder · co5
Read the full storyarrow_forward
5
Specialist analysts
deliberating per scan
12+
Shape doctrine packs
from peer-reviewed research
18mo
Platform calibration
on real production data
100%
Verdicts open
into the audit trail
Who this is for

Three shapes of operator.
Same need underneath.

domain
In-house comms

You sit between your CEO and what the world is saying.

You need verdicts you can defend in the boardroom, not dashboards your team has to translate.

campaign
PR agency

You stretch across clients.

You don't have time to live inside any one brand. co5 lives there for you so you can decide where to focus.

shield_person
Crisis & risk

You need to know when to act, not just what happened.

Coverage isn't a verdict. co5 gives you a tier — standard, elevated, crisis — with the reasoning behind it.

04 · The difference

Where co5 reads
the shape.

image
Screenshot · State card from the platform
Real production capture replaces this site-wide.
01 · Today is vs today means

What you walk in with.

When the CEO asks why you took the position, what's on your screen matters. Signal AI's full output surface — briefings, alerts, dashboards, Topic Trends, Ask AIQ — gives you what today IS: which entities spiked, which topics trended, which risks surfaced. Situational awareness. You walk in with the inputs. co5 gives you what today MEANS: a verdict from five specialist analyst models that reason in parallel against the same evidence, cross-challenge each other, and have to stand on their assessments before the judge synthesizes the call. The state card opens into the analyst-level disagreement, the calibrated baseline drift, the source mentions that drove the read, and the doctrine that grounds the recommended action. Same evidence; different ending. You don't walk in with the inputs. You walk in with the call — pressure-tested.

02 · Trend vs shape

What you can name — and the move research already validated.

A brand decision can't rest on a boolean. "Sentiment is negative" is data — not an interpretation. The pattern is what's missing: what kind of move this is, what shape is forming, and what response research already validated for that shape. Polarization plays out one way. Accumulating concern plays out another. Dormant arc reactivating plays out a third. A century of crisis communication and reputation research catalogs the patterns AND the moves that work for each. co5's shape doctrine maps your situation to that research — the recommended action carries the playbook. Signal AI's Topic Trends shows the line moves; the pattern isn't named, and the research-backed response isn't surfaced. You take your best guess on the move. With co5, you take the move research already validated for this pattern. Decisions made on research-backed patterns are right more often — and defensible because they're right.

Verdict
Watch
linkAnalyst reads:Marcus · Jessica · Charan
linkSources cited:47 mentions · 12 outlets
linkDoctrine pack:Polarization · Veloutsou & Black 2024
03 · Enterprise sale vs operator tier

When you can start.

Signal AI is enterprise-gated: no public pricing, multi-quarter implementations, professional services to stand up dashboards, CRO and CCO sales motion. That makes sense when you're a Fortune 500 building 15-pillar risk surveillance across multiple jurisdictions. It doesn't make sense when one comms leader needs to know whether the narrative shifted today. co5 ships entity-tiered (5/12/25/enterprise) with a 3-month trial and an Intelligence Director seat add-on. Self-serve setup. No PS engagement. No enterprise contract opacity. You're reading the state card next Tuesday — not next quarter.

Signal AI
Enterprise contract
Contact sales
vs
co5
checkStarter · 5 entities
checkGrowth · 12 entities
checkScale · 25 entities
checkEnterprise · custom
+ Intelligence Director per-user add-on
As reported by the field

I think sometimes the sentiment analysis and the tonality of an article can be a bit misconstrued. It's gotten stronger over time but sometimes it's not always the most accurate.

The choice

Switch or stack. Facts alone, or facts + meaning.

swap_horiz
Migration

Switching or stacking?

Either way, we plug in. Switching: import your priority brands; co5 calibrates against historical baselines so the read isn't cold from day one — and the calibration doesn't cap at 18 months. Stacking: ingest Signal AI's data through their API; co5 layers council deliberation, shape doctrine, and audit-traceable verdicts on top of the surveillance Signal AI already governs.

Talk to founderarrow_forward
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Ready to read the meaning?

Tell us the brands you'd cover. We'll come back within 48 hours with a beta seat or a conversation about why now isn't the fit.

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Signal AI tells you what today is. co5 tells you what it means. That's the choice.