hub THE FUNNEL
SYSTEM STATUS: OPERATIONAL

YOUR SCANNER
DOESN'T LEARN.
OURS DOES.

The Funnel is the intelligence layer for CodeQL. We don't just find vulnerabilities; we eliminate the 78% noise floor with automated YAML data extensions.

FUNNEL_OS_V2.0
01 {
02 "status": "ANALYZING_PDG",
03 "verdict": "FALSE_POSITIVE",
04 "confidence": 0.992,
05 "action": "GENERATE_YAML_EXTENSION"
06 }
Extraction Progress
88.4%
Efficiency Delta
$554M
SAST MARKET SIZE
22.8%
CAGR GROWTH
78%
AVERAGE FP RATE
252D
TIME TO REMEDIATE

The Noise Apocalypse

Legacy security scanners are drowning engineering teams in irrelevant alerts, turning high-value security professionals into manual triage operators.

warning

78% False Positive Rate

Security teams spend over 75% of their week investigating 'ghost' vulnerabilities that pose zero actual risk to the production environment.

timer_off

30min Triage Cycles

Every developer context switch costs the business thousands in lost velocity. Legacy tools require 15-30 minutes of manual review per alert.

The Architecture

Proprietary Learning Pipeline

STAGE_01

INGESTION

Continuous ingestion of raw SAST telemetry.

data_object
STAGE_02

EXTRACTION

PDG serialization & data-flow mapping.

account_tree
STAGE_03

ENRICHMENT

Confidence-gating via proprietary intelligence.

bolt
STAGE_04

TRIAGE

Automated verdict generation (FP vs. TP).

verified
STAGE_05

LEARN

Compounding YAML extension injection.

psychology
$1.55B
BY 2030

Projected specialized SAST intelligence market segment.

72%
ADOPTION

Enterprise intention to implement autonomous triage by 2025.

$35B
TOTAL APPSEC

Broad market opportunity for embedded security intelligence.

17.9%
SME GROWTH

Compounding annual growth in small-to-mid enterprise sector.

The Tactical Edge

01 / NATIVE

CodeQL-native

Built directly on top of the industry standard query language for maximum compatibility.

02 / GRAPH

PDG Serialization

We treat code as a graph, not as text, allowing for deep data-flow analysis.

03 / GATE

Confidence-gated

No hallucinations. Only verdicts that meet a 95%+ statistical confidence interval are shipped.

04 / ADDITIVE

Enhance Don't Replace

Keep your existing tools. We inject the intelligence layer they're missing.

05 / PROFIT

85-90% Margins

Highly efficient, automated cloud-native processing architecture.

06 / FOCUS

Distracted Incumbents

While others chase broad features, we solve the single hardest problem: Noise.

The Learning Moat

Compounding YAML Data Extensions

Every triage decision adds to a proprietary, compounding dataset. As your team works, The Funnel gets smarter, creating an untouchable barrier to entry for generic competitors.

01 SCAN EXISTING REPOS
02 HUMAN-IN-THE-LOOP TRIAGE
03 AUTOGENERATE YAML MODELS
04 RE-INJECT INTO PIPELINE
05 COMPOUNDING EFFICIENCY

Competitive Landscape

Metric / Player The Funnel GitHub Autofix Semgrep Endor Labs
Noise Reduction 90% + ~40% ~25% ~30%
Learning Loop Proprietary YAML LLM Only None Manual
Query Language CodeQL Native Custom Custom Reachability

Get Involved.
The window is open.

We are currently accepting select partners for our early access intelligence program.

dillonb@altuniai.com arrow_forward