Enterprise Engineering

Ship faster. Forget nothing.
Break nothing.

AI coding is the largest enterprise AI spending category at $4B in 2025 — up 7× in one year. But 48% of AI-generated code contains security vulnerabilities, and every new session re-ingests full codebase context from scratch. CLEOS solves both. It was built on itself — the product has proven, self-validating use cases and the team has authentic domain authority.

$4B

AI coding spend in 2025 — up 7× in one year

48%

of AI-generated code contains security vulnerabilities

91%

of engineering orgs have adopted AI coding tools

95%

Token reduction on code context retrieval

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The Problem

AI coding is 7× bigger than last year. The security and efficiency problems scaled with it.

Enterprise engineering teams adopted AI coding tools faster than any other AI category — and the governance gap is proportionally large. Context loss, security vulnerabilities, and context cost are all compounding.

48%

of AI-generated code contains potential security vulnerabilities

Nearly half of all code generated by AI coding tools contains security vulnerabilities — SQL injection, authentication bypasses, insecure deserialization, hardcoded credentials. Standard AI coding tools have no structural ability to enforce security patterns before generating code. The result: vulnerability review overhead that negates a significant portion of the AI efficiency gain.

Snyk State of AI Code Security 2025

23×

Token multiplication per agentic session — without persistent memory

A 1,000-token engineering task with 5-step agentic chaining balloons to 23,000 total tokens. Without persistent codebase memory, every session re-ingests the same architectural context, the same API patterns, the same coding standards — paying full price for context that hasn’t changed. At scale, this is millions of dollars monthly in redundant compute.

360Strategy / Alan Turing Institute 2025

91%

of engineering orgs have adopted AI coding tools — entire sector is addressable

AI coding tool adoption reached 91% across engineering organizations in 2025. This means the governance and efficiency problem isn’t emerging — it’s already present in nearly every engineering org. The question isn’t whether to govern AI-assisted development; it’s who does it with infrastructure versus who does it with manual review overhead.

GitHub State of AI Coding 2025

The Solution

How CLEOS solves the engineering AI governance problem

Persistent Codebase AI Assistant

Every AI coding session today starts from scratch. The AI re-reads the same files, re-analyzes the same architecture, re-learns the same patterns it understood perfectly in the last session. CLEOS eliminates this entirely. Architectural decisions, code patterns, known issues, review history, and module relationships are captured, indexed semantically, and injected in under 500ms at the start of every session. For a 500,000-line codebase, CLEOS loads the 7 most relevant files instead of 500+ — delivering 95% token reduction on code context retrieval. Engineers stop re-briefing the AI. The AI starts where the last session left off.

95% Code Context ReductionAST Semantic SearchSession Continuity

Policy-Enforced Code Governance

The 48% AI code vulnerability rate exists because AI coding tools have no structural ability to enforce security patterns before generating code — they can suggest; they cannot prevent. CLEOS pre-execution hooks enforce coding policies before any AI-generated code is output: SQL parameterization requirements, authentication pattern standards, secrets management rules, dependency version constraints. A policy violation doesn’t generate a warning — it blocks the generation and explains why. For organizations subject to SOC 2 Type II, FedRAMP, or PCI-DSS requirements, CLEOS provides the AI governance documentation that audit requirements demand: every AI code generation logged, every policy enforcement recorded, every human approval captured.

Pre-Generation EnforcementSOC 2 / FedRAMPSecurity Pattern Compliance

Multi-Agent Development Coordination

Large engineering teams run multiple AI agents simultaneously — feature development, security review, infrastructure provisioning, documentation generation. Without coordination infrastructure, these agents can conflict: one agent refactors a module while another is mid-generation on a dependent module. CLEOS’s multi-user session coordination provides real-time awareness across AI agents and human engineers — who is working on what files, what state each agent has loaded, what conflicts are developing. The shared context layer ensures that architectural decisions made by one agent are immediately available to all others — eliminating redundant re-analysis while maintaining strict session isolation between unrelated workstreams. For teams building across service boundaries, CLEOS enforces code ownership policies at the infrastructure level: an AI agent cannot modify a service it doesn’t own.

Conflict PreventionCross-Agent ContextOwnership Enforcement

Why the Math Works

Engineering ROI is the fastest to calculate — and the easiest to prove

Token costs are metered. Context loads are measurable. Security review hours are trackable. CLEOS makes the ROI case for engineering transparent and immediate.

95%

Token reduction on code context retrieval

Loading 7 relevant files instead of 500+ on every coding session. At $85K/month AI compute, this saves approximately $80.75K/month on code context alone — $969K/year. Verified in production over 89 days.

48%

Vulnerability rate CLEOS eliminates structurally

For a 100-engineer team generating 10,000 AI code suggestions/week, structural enforcement eliminates ~4,800 potential vulnerabilities per week from ever reaching review — saving an estimated 2,400 security review hours monthly.

89 days

Continuous production runtime — 99.98% uptime

CLEOS ran on itself for 89 continuous days processing 40.58M events at 99.98% uptime. This isn’t a benchmark — it’s production. When you buy CLEOS, you’re buying the infrastructure we built and rely on daily.

Regulatory Alignment

Every engineering compliance mandate CLEOS satisfies natively

Enterprise engineering isn’t just about velocity — it’s about demonstrable security and governance for the customers and regulators who depend on the software you ship.

SOC 2 Type II — AI-Assisted Development

SOC 2 auditors are increasingly asking about AI governance in software development. CLEOS provides the access controls, audit trail, and code generation logging that SOC 2 Type II criteria CC6, CC7, and CC8 require for AI-assisted development environments.

SOC 2 · Required

FedRAMP — AI Code Generation Governance

Federal software contractors must satisfy FedRAMP controls for AI tools used in development. CLEOS’s pre-execution hooks and audit trail satisfy FedRAMP AC, AU, and SA control families for AI-assisted development governance.

FedRAMP · Required

ISO 27001 — Secure Development Lifecycle

ISO 27001 Annex A.14 requires secure software development lifecycle controls. CLEOS’s policy enforcement hooks provide the structural secure coding controls that ISO 27001 certification requires for organizations using AI in their development lifecycle.

ISO 27001

EU Cyber Resilience Act

Effective December 2027 for products with digital elements sold in the EU. Requires vulnerability handling, security update processes, and documentation of development security controls. CLEOS’s policy enforcement and audit trail provides the secure development documentation CRA requires.

EU · Effective 2027

Buyers

Who in engineering buys CLEOS

Engineering AI governance decisions involve platform teams, security, and the engineering leaders responsible for velocity, quality, and compliance.

VP Engineering

Responsible for engineering velocity, quality, and AI tool ROI. CLEOS’s 95% code context reduction and persistent memory translate directly to engineering throughput — measurable, immediate, and durable.

Head of Platform / DevEx

Owns the developer experience and AI tooling infrastructure. CLEOS is the infrastructure layer that makes every AI coding tool the organization deploys more efficient, safer, and governance-compliant.

CISO

Accountable for security in AI-assisted code. CLEOS’s pre-execution policy enforcement eliminates the 48% vulnerability rate structurally — providing the security governance documentation that SOC 2 and FedRAMP audits require.

CTO

Sets the AI strategy and technology infrastructure direction. CLEOS provides the control plane that makes enterprise AI coding deployments sustainable at scale — without the governance overhead that ungoverned AI creates.

Ship faster. Forget nothing.Break nothing.