AI decision intelligence / Built for the room

From scattered
evidence to a
defensible decision.

Kerneline turns documents, interviews, data and live signals into a visible line of reasoning your whole team can challenge.

01

Evidence in

24live sources
02

Tensions found

07need review
03

Leading path

86%supported
Recomputing scenario matrix
Scroll to inspectDecision room / Northstar

Inside the product / Real interactive UI

Not another chat window.
A working method.

Move between the evidence graph, scenario matrix and decision memo. Every view is live React UI included in the template.

KNorthstar / Market entryDecision room · Updated 4m ago
AMNLSK
Runtime healthy · 38ms
Evidence graph24 sources · 7 tensions
S-018Buyer urgencyStrong
S-024Retention signalVerified
THESIS 04Enter with a focused vertical86% supported
TENSIONLonger procurementUnresolved
S-031Category growthModerate
AI critique

The strongest path depends on a procurement assumption supported by only two enterprise interviews.

The Kerneline method

AI should make the reasoning more visible, not disappear it.

Most tools collapse research into an answer. Kerneline keeps the sources, tensions, model roles and human judgment attached.

01Collect the evidence02Name the tensions03Compare the paths04Commit with context

Capabilities / Six layers

Built for decisions
with consequences.

Each layer has a specific job—from preserving source identity to routing model work and recording human review.

01

Evidence graph

See every claim, source and contradiction in one inspectable map.

Inspect layer ↗
02

Scenario studio

Compare strategic paths against the same assumptions and constraints.

Inspect layer ↗
03

Decision memo

Turn the room’s reasoning into an executive-ready, cited narrative.

Inspect layer ↗
04

Signal watch

Re-open decisions automatically when important source conditions move.

Inspect layer ↗
05

Model routing

Assign extraction, synthesis and critique to the right runtime.

Inspect layer ↗
06

Human checkpoints

Require owners to resolve gaps before recommendations move forward.

Inspect layer ↗

Scenario studio / Compare before you commit

See what changes
when assumptions move.

Test multiple paths against the same evidence. Kerneline surfaces the assumptions doing the most work and keeps dissent visible.

Explore scenario studio
01

Focused rollout

86
+12 vs baseline · Low risk
02

Segment expansion

73
+4 vs baseline · Medium risk
03

Full market entry

61
−7 vs baseline · High risk

Model runtime / Right role, right model

Orchestrate intelligence
without the theatre.

Assign specialist roles for extraction, synthesis, critique and verification. Track latency, cost and confidence without turning the product into a developer console.

Live routing map Healthy
01ExtractK-Line Small
02SynthesizeSonnet 4.5
03CritiqueGPT-5
04VerifyK-Line Guard
Median latency1.84s−18% this week
Evidence coverage93%+4 pts
Cost / room$2.18within budget
Human checkpoints041 pending

Evidence flows in from your stack

NotionGoogle DriveSlackSnowflakeHubSpotLinearFigmaAirtableDropboxTeamsBigQueryZendesk
View all integrations ↗

Built for shared judgment

The room gets smarter
when everyone can see
how it thinks.

“Kerneline gave us something rare: a recommendation our operators, researchers and executives could all interrogate without starting over.”

Amina MercerVP Strategy, Northstar Works