The infrastructure gap
The intent gap
Agents write code. The spec lives elsewhere. Every gate reunites them manually.
Trust Engine
75% CVE detection
CWE-Bench-Java · 120 projects
vs. CodeQL
3.3x improvement
22.5% to 75% · same dataset
Registry
6,000+ skills
Live · runics.net · MIT
Delivery Infrastructure
Infrastructure for
software built
with agents.

The spec is understood at every gate. Trust is scored at runtime. The pipeline earns its own autonomy.

Cognium Labs
cognium.net · March 2026 · Confidential
Cognium Labs · Confidential
1 / 12
The Problem
Agents write the code.
The pipeline has no concept of intent.

CI/CD checks syntax, runs tests, scans CVEs. It cannot ask: does this code do what someone intended? Every gate resets context to zero.

Spec created Code context: reset Review context: reset Test context: reset Ship context: reset COGNIUM: CONTEXT CARRIES FORWARD
Most code shipping today has touched something nobody wrote — MCP servers, third-party skills, agent-generated layers. The supply chain now includes code that was generated, not authored.
The agents got faster. The infrastructure under them didn't.
The 10x speed gain gets absorbed by governance overhead that compounds at every handoff.
The Intent Gap
2 / 12
The Governance Gap
AI compressed creation to days. Governance still takes weeks.

50-person enterprise quarterly release · calendar weeks by phase

Creation · 11 to 3 weeks
Governance · 8 weeks unchanged
Traditional
Req3 wk
Design3 wk
Code5 wk
Review2 wk
Test/QA3 wk
Sec1.5
Compl1
.5
19 wk
AI-Assisted2026
R1
D1
C1
Review2 wk
Test/QA3 wk
Sec1.5
Compl1
.5
11 wk
Creation compressed 73%. Governance didn't move.
Governance is now 73% of the release cycle.
AI + Cognium
R1
D1
C1
Spec gateauto
Trustauto
Review1
Test1
Sec.5
.5
6 wk
13 weeks saved
Spec gate verifies intent before human review.
Review, test, security compress — the hard question is already answered.

AI made creation fast. Cognium makes governance fast.

Sources: SonarSource · IDC 2024 · Anthropic · Sonar 2026 · SO 2025.
The Governance Gap
3 / 12
Cognium
The layer where the spec is understood at every gate.
Phase 1 · Ships first
Spec-aware PR gate
GitHub Action. Reads Specifica, analyzes diff, reports alignment + trust score. One YAML file.
Core technology
Spec diff + trust scoring
Reads code semantically. Diffs against spec. Trust 0-100 across five analyzers.
Phase 2 · Conversation + handoff
Refinement funnel + BYOA
Architect refines intent in conversation. Tasks decompose. Context hands off to any coding agent.
Phase 3 · Progressive autonomy
Pipeline earns autonomy
L1 hard-stop to L3 autonomous through verified run history. Routines become skills.
Agent-agnostic: works with Claude Code, Copilot, Cursor. Your team keeps their tools.
Cognium
4 / 12
Why Now
The pattern is real. The infrastructure doesn't exist.
Ecosystem proof
Agents + skills = mainstream
ClawHub: 13,700+ skills. 1,184 malicious. ~20% malicious at peak. One package: 14,285 downloads before detection.
Antiy CERT · VirusTotal · Mar 2026
Regulatory
EU AI Act in 5 months
High-risk compliance August 2026. Fines up to EUR 35M / 7% revenue. Spec compliance becomes legal.
EU AI Act · in force
Developer appetite
Spec-driven going mainstream
Spec Kit: 72.7K stars. 30+ frameworks. Kiro in GovCloud. Nobody verifies the result.
GitHub · AWS · Feb 2026

The pattern is here. The delivery infrastructure doesn't exist yet. Open position.

Why Now
5 / 12
Product
The architect's refinement funnel. Verified at every step.
The funnel
1. Intent in
One-liner to full Specifica. System reads code, shows gap, formalizes spec.md + design.md.
2. Tasks out
Gap decomposes into tasks.md. Context hands off to any coding agent (BYOA).
3. Verified
Trust engine diffs result against spec. Findings spawn tasks. Routines keep it healthy.
Trust engine
Semantic SAST + spec diff
LIVE
Five analyzers. Trust 0-100. Four tiers. CRITICAL revoked.
75% CVE
3.3x vs CodeQL
0 FP
Registry
6K+ skills · <10ms · MIT
Pipeline
6 gates · L1-L3 · audit trail
Entry: GitHub Action PR gate (one YAML) · Also: cognium.net/scan (no account)
Product
6 / 12
Commercial Motion
AI compressed dev time. Nobody compressed governance.
Traditional
Manual everything
Intent: human reads code
Compliance: manual attestation
Gate: human sign-off
Audit: reconstructed after
AI-Assisted
Faster code. Same gap.
Dev: 3-10x faster
Intent: still manual
Context: resets every gate
Agent: locked to one vendor
AI + Cognium
Governed at agent speed.
Spec diff: every gate
Trust: machine-consumable
Audit: pipeline byproduct
Agent: architect's choice
Entry
GitHub Action · one YAML
Expand
Conversation + BYOA
Embed
Pipeline · autonomy · audit
Commercial Motion
7 / 12
Traction
What's live. What ships Q2.
Live now
cognium.net/scan
One URL · no account · trust report
Trust engine validated
75% CVE · 3.3x CodeQL · 0 FP
Registry · runics.net
6K+ skills · <10ms · MIT
BFSI integration underway
Trust gate in live enterprise workflow
Q2 2026
GitHub Action — PR gate
Phase 1 product · one YAML
ClawHub trust scan report
First ecosystem vulnerability data
cognium.dev open-source
Scoring rubric + benchmark · MIT
Context handoff API
BYOA for Claude Code, Copilot, Cursor
Traction
8 / 12
Market
Three converging markets. One open position.
01 · Agent security
33% of MCP servers have critical CVEs. 26% of 31K skills flawed. Attack surface outpacing coverage.
02 · Spec-driven development
Spec Kit 72.7K stars. Kiro in GovCloud. 30+ frameworks. Nobody verifies code against spec post-implementation.
03 · Agentic release pipeline
Harness, GitHub lead with rule-based gates. None trust-scored. None spec-aware. No progressive autonomy.
Convergence
Nobody spans all three — spec understood creation to production, skills trust-scored at runtime, pipeline earns autonomy.
Evidence
MCP: 3 to 6,800+ in 13mo. Downloads: 100K to 8M in 5mo. 9-42% of AI code vulnerable. 95% of engineers use AI weekly.
No player combines spec-diff + trust scoring + pipeline autonomy + BYOA.
Market
9 / 12
Competitive Position
Everyone checks vulnerabilities. Nobody verifies intent.

Claude Code, Copilot, Cursor write code. Cognium verifies it matches the spec. Layer above — not alternative.

Company
SAST
Trust score
Spec / Code
Auto pipeline
Agent-agnostic
Cognium
75% / 0 FP
0-100 tiered
Semantic diff
L1 to L3
Any agent
Claude Code Review
Multi-agent
-
-
-
Anthropic
Copilot Review
Agentic
-
-
Rule-based
GitHub
Kiro (AWS)
-
-
Gen only
-
AWS
Snyk Agent Scan
15+ types
Adding
-
-
N/A
CodeRabbit
2M+ repos
-
-
-
N/A
Greptile
Code graph
-
-
-
N/A

"Spec / Code" — nobody fills it. "Agent-agnostic" — every other tool locked to one ecosystem.

Competition
10 / 12
Why Us
Why this team. Why now.
Founder
25 years in compilers and static analysis
Neuro-symbolic analysis engine. Foundational, not adapted. Benchmark-validated.
Architecture moat
Dataset compounds with every scan
Every integration embeds the standard. Every run adds trust history. Moat widens with usage.
Integration, not replacement
Works with every coding agent
Claude Code, Copilot, Cursor — your tools. No lock-in. One YAML to start.
Timing
Standard-setting window is open
Scanning commoditizes in 18 months. Winner defines trusted agent software — before it becomes a checkbox.
Why Us
11 / 12
The Moment
The agents got faster.
The infrastructure didn't.
We're building it.
August 2026
EU AI Act enforcement
Fines up to EUR 35M / 7% revenue.
Q2 2026
ClawHub trust scan report
First mover defines the standard.
12-18 months
Scanning commoditizes
Spec-diff + trust + registry can't be replicated overnight.

Delivery infrastructure for software built with agents. The spec is understood at every gate. The pipeline earns its own autonomy.

Contact
eyal@cognium.net
cognium.net
The Moment
12 / 12
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