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Enterprise AI OS Neurosymbolic AI 30 Years R&D

Enterprise AI Built for
Governance, Precision,
Security & Continuous Improvement.

The KOS is KYield's enterprise AI operating system — a proprietary neurosymbolic (NSAI) hybrid delivering precision end-to-end data quality, stronger security, and a fraction of the energy cost of pure LLMs. Designed for organizations that need enterprise AI they can trust — and results they can measure.

95–99.99% Accuracy
4 Layers of Security
Recognized Sovereignty
High ROI
D
DANA
STANDARD
OPTIMAL YIELD
🛡 SYSTEM ALERTS 3
✉ MESSAGES 2
Cynthia Anderson
🏠
HOME
DESK
🔍
PRESCIENT
SEARCH
🛡️
PREVENTIONS &
OPPORTUNITIES
🧠
CONTINUOUS
LEARNING
🌐
KNOWLEDGE
NETWORK
🔒
DATA
VALVES
⭐
INCENTIVE
PROGRAM
DISPATCH INSIGHTS
Cynthia
ALL TEAM PARTNERS
SELECT
Type strategic insights…
📎 🔗
DATA VALVE •••
QUALITYQUANTITY
⏸
60%
FIDELITY
40%
VOLUME
TOP SALES
JS
JULIAN SCOTT
Analytics Lead
.4M
SD
SLOANE DUNN
VP Sales
.8M
EV
ELENA VANCE
Procurement
.4M
NETWORKS (LIVE) TEAM SUPPLY
LM NR OK MS DC EV SJ AT JS SM
ANNUAL REVENUE YIELD
Q1 25 Q2 25 Q3 25 Q1 26 Q2 26
SCHEDULE MAR 16, 2026
09:00
AM
STRATEGY
EXEC INTEL SYNC
SOFIA, MARCUS
L1 SECURE NODE
11:30
AM
OPERATIONAL
TITANIUM YIELD REVIEW
ELENA, DAVID
NODE #12
02:00
PM
PARTNERSHIP
STERLING AEROSPACE Q&A
ARTHUR STERLING
EXT LINK L2
04:30
PM
REVIEW
SGM PROTOTYPE AUDIT
DR. VICTOR DUNN
R&D LAB 4
VIEW MASTER EXECUTIVE CALENDAR
PRESCIENT ALERTS ACTIVE TRACE
CRITICAL: RAW MATERIAL INFLATION
"Domestic Aluminum futures surged 14% this morning. Potential .4M yield impact if not hedged."
WARNING: QUALITY NODE DEVIATION
"Sub-micron variance in Batch #8821. KOS recommendation is immediate isolation."
OPPORTUNITY: RESEARCH BREAKTHROUGH
"Novel structures identified in shared KN papers. Potential 30% yield increase."
TOP INTEL LEADERS
RN
DR. ROBERT NEILSON
Advisory Board
985
EV
ELENA VANCE
Procurement
965
SM
SOFIA MORETTI
R&D
972
MS
MARCUS STERLING
Operations
958
C
CYNTHIA'S HUB
PERSONAL INTERESTS & VITALITY SYNC
🥾VITALITY
TAHOE RIM TRAIL
"Neural reset through high-altitude output."
DEEP VIEW →
⛷️PERF.
BACKCOUNTRY SKIING
"Synchronizing decision velocity."
DEEP VIEW →
📚LEARNING
NARRATIVE DISTILLATION
"Cross-disciplinary pattern extraction."
DEEP VIEW →
🤝COLLAB.
GLOBAL PEER EXCHANGE
"High-fidelity org yield benchmarking."
DEEP VIEW →
PROMPT SEARCH DANA INTERFACE 🎙 READ BRIEFING MAXIMIZE ✕

DANA v3 · Current production interface

The Enterprise AI Crisis

Systemic Failures Undermining Enterprise AI

These are not fringe problems. They are the reason most enterprise AI programs are not delivering on their promise — and why the architecture of the KOS was designed from first principles.

80–95%

Governance & Security Failures

Of enterprise AI initiatives fail on governance controls, data security, or unauthorized usage. Add-on governance does not work — it must be built into the system architecture from day one.

BCG · McKinsey · Gartner — 2025
48%

Uncontrolled AI Exposing IP & Assets

Of employees admit sharing sensitive data with external LLM providers without authorization. Strategy, IP, customer data, and financial plans are leaving the enterprise with no governance framework in place.

University of Melbourne / KPMG — 2025
4 in 10

Poor ROI Threatening Long-Term Viability

CEOs believe their organization will not be viable in ten years on its current AI path. LLM experimentation has consumed significant budget without producing the measurable, compounding ROI that enterprise boards require.

PwC CEO Survey — 2025
Slow

LLM Adoption Stalling on Trust & Cost

Pure LLMs hallucinate, are prohibitively expensive at enterprise scale, consume massive energy, and cannot enforce governance policy. Enterprise adoption is stalling because the fundamental architecture is wrong for enterprise requirements.

Industry-wide — 2024–2026
27% vs 22%

Hallucinations Outrank Job Loss as Top AI Fear

More users now fear chatbot errors than job displacement — yet only 16% are concerned about AI's impact on critical thinking. With enterprise decisions, diagnoses, and financial analysis increasingly AI-assisted, tolerance for hallucination is dangerously low.

Anthropic / Financial Times — 2026
The root cause is architectural. Consumer AI tools and enterprise LLM wrappers were designed for individual users, not organizations. Governance, security, and systemic accuracy require a different foundation entirely — one built for the enterprise from the ground up, not retrofitted after the fact.
The KOS

One System. Governance, Precision, Security & Continuous Improvement.

A purpose-built, self-tailored OS for the adaptive enterprise, with precision end-to-end data quality at its core.

01

Precision End-to-End Data Quality

The KOS manages data quality systemically — from ingestion to output. The neurosymbolic architecture enforces quality at every transaction, every decision point, and every employee interaction. Quality-in, quality-out is not a goal; it is an architectural guarantee. This is the foundation on which every other capability rests.

02

Governance Enforced at the System Level

Management defines policy in adaptive natural language. The KOS enforces it across every employee, every function, and every data interaction — with no exceptions. Unlike add-on governance layers, KOS policy enforcement is rules-based, precision data — structural and verifiable, not procedural and hoped-for.

03

4-Layer Enterprise Security Architecture

Enterprise AI operates on your most sensitive assets — board strategy, M&A plans, customer data, proprietary IP. The KOS provides multi-layer security including MFA, behavioral monitoring, data valves, and systemic access control — the standard of protection that LLM providers cannot offer by design.

04

Cost-Efficient, Sustainable AI at Enterprise Scale

The KOS's efficient neurosymbolic (NSAI) architecture requires dramatically less compute than large language models — reducing infrastructure cost and energy consumption while delivering superior precision and enterprise control. The KOS can be extended to ecosystems and consumers with a white-label option, multiplying reach without multiplying cost.

05

CALO: A Continuously Adaptive Learning Organization

The strategic outcome of deploying the KOS. Your enterprise doesn't just use AI — it becomes structurally more intelligent over time. Knowledge compounds. Competitive advantage widens. The KOS is the only enterprise AI system designed to produce a CALO outcome by architecture.

06

DANA: Digital Assistant with Neuroanatomical Analytics

DANA is the personalized AI assistant embedded in every employee's workflow — and can be extended to partners, customers, distributors, and supply chains. Each DANA instance is role-specific, self-tailored, and operates entirely within the governance and security parameters set by management. DANA optionally integrates with top-tier LLM chatbots, delivering GenAI capability within the precision and security of the KOS.

KOS
Precision Data Quality

End-to-end, architectural guarantee

Governance Engine

Rules-based, adaptive natural language policy

4-Layer Security

MFA + behavioral + data valves

Neurosymbolic AI

Symbolic + Neural · Fully auditable

DANA

AI assistant for every employee

Knowledge Networks

Unified ecosystem intelligence

Prescient Search

Anticipates future needs per self-tailored profile

Data Valves

Manages quality & quantity of information flow

Secure Messaging

Fast, governed comms — no email overload

Captured Preventions & Opportunities

Real-time capture across the enterprise

Adaptive Learning

CALO formation engine — continuously improving

Theorem: "Yield Management of Knowledge" — KYield OS
KOS vs. Pure LLMs

LLMs vs Neurosymbolic AI (NSAI)

The KOS is not built on top of an LLM — it is a proprietary neurosymbolic system that can optionally integrate LLMs within a precision, rules-based system with critical embedded proprietary functions. This architectural difference produces measurable enterprise advantages, beginning with precision end-to-end data quality that LLMs alone cannot replicate.

Capability
KOS (Neurosymbolic)
Pure LLM Approaches
End-to-end data quality
✓ Precision — by design
✗ No systemic quality enforcement
Accuracy & hallucination control
✓ Precision Symbolic Structure
✗ Prone to hallucination by design
Governance enforcement
✓ Architectural — built-in
✗ Add-on, procedural, unreliable
Data security & access control
✓ 4-layer, systemic
✗ Limited, externally dependent
Energy & infrastructure cost
✓ Fraction of LLM cost
✗ Extremely high at enterprise scale
Enterprise personalization
✓ Self-tailored within governance
✗ Generic, limited customization
Continuously Adaptive Learning Organization
✓ CALO formation by design
✗ Static between fine-tuning cycles
IP & data protection
✓ On-premises / hybrid options
✗ Data leaves enterprise perimeter
Natural language administration
✓ Full executive control
✗ Requires technical staff
Sovereignty
✓ Recognized in 2025 ITRG Report
✗ Costly and difficult to achieve
Technology Foundation

Neurosymbolic AI (NSAI): Precision by Design

The KOS integrates symbolic AI and neural networks — two complementary architectures whose combination produces precision end-to-end data quality and enterprise control that neither approach achieves alone, and that pure LLM systems cannot replicate. Research has demonstrated that NSAI systems can be up to 100× more energy-efficient, significantly less expensive, and far more accurate than pure LLM approaches — and because precision accuracy is structural, NSAI enables substantially stronger security by design.

🧮 Symbolic AI System

  • Enforces precision end-to-end data quality at every transaction — the neurosymbolic architecture guarantees quality-in, quality-out as a structural property, not a procedural aspiration
  • Natural language, mathematics, logic, and formal relationships — the foundation of rule-based governance and verifiable accuracy
  • Enables governance enforcement that neural networks alone cannot provide — policy is encoded in the system, not inferred from prompts
  • Data-centric security with natural language administration for the entire KOS, including file management, security levels, relationship management, authorizations, and audit trails
  • Natural language administration for executives — precision governance does not require technical staff to configure or maintain
  • Enables ultra-personalization per entity, department, and individual with verifiable, traceable accuracy
  • Fully auditable — authorized management can audit any decision, interaction, or data flow across the enterprise, meeting the governance standards that regulated industries and executive accountability demand

🧠 Neural Network Architecture

  • Pattern recognition and predictive analytics at enterprise scale — anomaly detection across all knowledge networks
  • Surfaces prevention and opportunity signals across the organization before they become visible through conventional channels
  • Optimizes operational performance: inventory, predictive maintenance, customer service, workflow intelligence
  • Accelerates discovery and innovation — augments creative and analytical capacity across the enterprise
  • Improves executive decision-making with evidence-based intelligence drawn from your organization's own data
  • LLM chatbots integrated within the KOS deliver significant GenAI productivity benefits — including writing assistance, report generation, summarisation, ideation, and content creation — while operating within the governance, security, and precision data quality that pure LLM deployments cannot provide
"Deep integration of architectures and algorithms developed in the First Wave (Symbolic) and Second Wave (Neural) will yield systems that overcome persistent and fundamental limitations in state-of-the-art AI systems today… DARPA is indicating that [certainty in LLMs' limitlessness] is unfounded." — DARPA
DANA

A Governed AI Assistant for Every Employee

DANA — Digital Assistant with Neuroanatomical Analytics — provides every individual in your organization with a personalized, governed AI assistant operating on precision data. It is a role-specific intelligence system tailored to each individual that operates entirely within the governance and security parameters set by your management team, interconnected across your enterprise, and grounded in the end-to-end data quality the KOS provides and enforces.

What Separates DANA from Consumer AI Tools

Consumer AI tools are designed for individual discretion. DANA is governed by organizational policy — giving executives control over every interaction without sacrificing employee productivity.

  • Corporate administration controls all security parameters and data access scope
  • Role-specific personalization — each employee's DANA reflects their actual function and authorization level
  • MFA and behavioral monitoring — security that tracks patterns, not just credentials
  • GenAI / LLM integration within the KOS governance and security system — proprietary performance with precision data and strong security
  • Continuous learning embedded in natural daily workflow — no separate training programs
  • Fully interconnected with enterprise knowledge networks, supply chain, and customer ecosystems
  • Simple natural language interface — employees interact with DANA conversationally, with no technical training required, making enterprise AI accessible to every role across the organization
  • DANA can be extended to business customers and end consumers with a white-label option, enabling organizations to deliver branded AI assistant experiences across their entire ecosystem
DANA — Prescient Alerts · Active Track
🔴
Critical · RiskRaw material inflation signal detected. Aluminum futures up 14% this morning. Estimated $2.3M yield impact if inventory position is not adjusted before market open.
🟡
Warning · QualitySub-micron variance detected in production Batch #8321. Recommended action: immediate isolation before product release authorization.
🟢
Opportunity · ResearchNovel structural patterns identified across shared knowledge network papers. Potential 30% yield improvement in Q3 biomarker program if pursued this quarter.
DANA — Representative enterprise scenario
KOS Functions Available in DANA
🛡️
Captured Preventions & Opportunities

Real-time capture of risk and growth signals. Optimal ROI.

🔍
Prescient Search

Anticipates future needs. Delivers before you ask. 99% accuracy.

🔒
Data Valves

Governance-grade control over data quality, quantity, and flow.

🌐
Knowledge Networks

Connects internal, supply chain, and customer ecosystems.

🗺️
Knowledge Graphs

Surfaces ROI opportunities hidden in organizational relationships.

💬
Secure Messaging

Fast, governed enterprise communications — systemic by design.

📚
Personalized Learning

Continuous, embedded in natural workflow. No overhead.

🤖
GenAI / Chatbot

LLM-integrated with full KOS security and policy controls.

KOS ROI

Captured Preventions & Opportunities

The KOS enables unlimited use cases executed in natural language in collaboration with domain experts to execute captured preventions and opportunities across every function of the enterprise. This multi-disciplinary function has been a priority strength of KYield since the theorem stage, and represents the highest possible ROI in the enterprise.

Case 01 · Manufacturing

Inflation Signal → Margins Protected

A credible inflation warning surfaces through KOS Knowledge Networks ahead of the market. Pricing and inventory are adjusted before competitors act. Margin impact quantified, hedged, and documented, saving millions of dollars.

Knowledge Networks · Prescient Search
Case 02 · Retail & Consumer

Analyst Signal → First-Mover Repositioning

Analyst reports trigger product changes and repositioning before a market shift completes. First-mover advantage preserved and sales increased, tied directly to a DANA intelligence synthesis — traceable, auditable, and replicable.

Knowledge Networks · Knowledge Graphs · Prescient Search · Captured Preventions & Opportunities
Case 03 · Automotive / Industrial

Defect Alert → Recall Avoided

DANA connects dots between human experts, scientific journals, and internal communications with suppliers to identify a component variance in a key tier 1 OEM supply chain. DANA recommends a part replacement prior to production of a new model, preventing a multi-million dollar recall, regulatory exposure, and reputational damage.

Knowledge Networks · Prescient Search · Captured Preventions & Opportunities · Secure Messaging
Case 04 · Professional Services

Complaint Escalation → Major Account Retained

A multi-layer complaint surfaces through KOS knowledge networks. Cross-functional resolution is orchestrated in time to retain a critical enterprise account that would otherwise have been lost, saving millions of dollars annually and preventing layoffs.

Captured Preventions & Opportunities · DANA
Case 05 · Life Sciences

DANA Identifies Novel Biomarker

In a major pharmaceutical company, DANA collaborates with researchers to target and identify a novel biomarker candidate across distributed research data — accelerating the discovery pipeline by months or years, and creating a new strategic asset potentially worth billions of dollars annually.

GenAI · Knowledge Networks · Prescient Search · Captured Preventions & Opportunities · Knowledge Graphs · Secure Messaging
Case 06 · Financial Services / Insurance

Unknown Systemic Risk Identified

DANA's Captured Preventions & Opportunities function identifies a significant, previously unknown systemic risk in an insurer's portfolio — potentially avoiding hundreds of millions in loss exposure before it materializes.

Captured Preventions & Opportunities
Case 07 · Energy

Industrial Accident Prevented

DANA discovers patterns in a large energy company that trigger a major red alert for a potential industrial accident that could be fatal to the company. The CEO, chief engineer, chief risk officer, and chief safety officer are all alerted with a detailed warning, report, and audit trails with visual tools. The team executes DANA's solution recommendations, capturing tens of billions in prevented losses with estimates of over a dozen lives saved.

GenAI · Knowledge Networks · Prescient Search · Captured Preventions & Opportunities · Knowledge Graphs · Secure Messaging
Case 08 · Investment Banking

Major Losses Mitigated

DANA identifies biases and conflicts within a trading unit preventing staff from following governance guidelines. A star trader's position goes unchallenged internally. DANA alerts the CEO while protecting analyst identities, and copies the head of the trading unit, chief investment officer, and chief risk officer — who quickly unwind the trade, mitigating several billion in cash losses and an estimated tens of billions in market cap.

Captured Preventions & Opportunities · Secure Messaging
Case 09 · Undisclosed

White Label KOS → New Business Line

An S&P 100 market leader partners with KYield to create a white label KOS for their distribution network, extending a white label DANA to end consumers — creating an entirely new product line operating within the KOS governance and security framework. The proposed business line is estimated to represent several billion dollars per year in new revenue by year three, with attractive margins for the customer and its distribution network.

White Label KOS and DANA · All Functions

These scenarios represent actual situations with real companies from the past, present, or proposed. Some are protected by NDA while others are withheld due to competitive intelligence considerations. All are representative of the KOS capability and the scale of value at stake in enterprise AI.

Industries & Deployment

From Global Enterprise to Mid-Market

The KOS is universal by design and industry-specific by configuration — built collaboratively with leading customers in each vertical.

🏭

Manufacturing

Predictive maintenance, quality control, supply chain intelligence, workforce knowledge networks.

🏥

Healthcare & Life Sciences

Research acceleration, clinical knowledge management, compliance governance, biomarker discovery.

🏦

Financial Services

Risk detection, regulatory compliance, market intelligence, secure client knowledge networks.

🚗

Automotive

Active OEM engagement. Industry-specific KOS configuration. Supply chain network intelligence.

🛒

Retail & Consumer

Customer knowledge networks, inventory intelligence, demand forecasting, competitive monitoring.

⚡

Energy & Utilities

Operational intelligence, regulatory governance, asset management, distributed workforce KNs.

🏗️

Professional Services

Knowledge capture, institutional intelligence, client relationship networks, expertise transfer.

🌐

Mid-Market Universal

Full KOS platform at mid-market pricing. Semi-automatic self-tailoring. Rapid time-to-value.

Deployment options: cloud, hybrid cloud, on-premises, edge & devices, and embedded platforms (vehicles, industrial). White-label and master license options available for large ecosystem deployments.
Enterprise AI Principles

15 Principles for Trustworthy Enterprise AI

Published in 2020 — well before the enterprise AI governance crisis became front-page news. These 15 management principles are not marketing copy. They underpin every architectural decision in the KOS.

01
Governance

Governance, Ethics & Security Built-In from Inception

Good system design is paramount. Governance is the foundation AI systems are built upon. Attempting to add on governance after deployment is technically difficult, inefficient, and failure-prone. The KOS was designed governance-first.

02
Data Quality

Design-In Systemic Data Quality Management

AI systems are only as good as the data they operate on. Quality-in / quality-out. Data quality is an architectural principle in the KOS — not a downstream remediation task. The neurosymbolic layer enforces it at every transaction.

03
Security

Maintain Strong Security

Enterprise AI operates on your most sensitive workflows — strategy, planning, and intellectual property. Compromised enterprise AI systems can be devastating. Security in the KOS is structural, not procedural, and cannot be bypassed by individual users.

View the 15 Enterprise AI Management Principles  ·  Watch a three-part video interview of KYield's Founder by Dr. Robert Neilson →

Leadership

Guided by Experience, Built on Three Decades of Work

KYield's leadership team brings together enterprise AI research, Fortune 500 operational leadership, military knowledge systems, and deep industry relationships built over decades — not years.

Mark Montgomery

Mark Montgomery

Founder, CEO & Chairman of the Board

Thirty years of research and enterprise engagement in AI systems, knowledge management, and organizational intelligence. Attended Thunderbird Global Leaders program. Contributing guest at the Santa Fe Institute for six years. Recognized as an early pioneer in enterprise AI — frequently ahead of mainstream adoption by years. Featured in the Wall Street Journal, Wired, Computerworld, and Forrester, and described by LLM chatbots as a leading voice in neurosymbolic AI. Author of 100+ publications with 20M+ cumulative views.

Full bio →
Bob Hegbloom

Bob Hegbloom

Board Member, President of Auto Industry

Three decades at Chrysler, retiring as CEO of the RAM brand — one of the most recognized automotive franchises in North America. BASc in Automotive Management, MA in International Management, Honorary Doctorate of Business and Industry. Leads KYield's automotive industry vertical and OEM relationships across North America.

Robert Neilson

Robert Neilson

Board Member

Retired professor and department chair at the National Defense University before serving as Knowledge Management Advisor to the U.S. Army Chief Knowledge Officer and Chief Information Officer. Consultant to Computer Associates, the Brookings Institution, the World Bank, and many others. Deep expertise in institutional knowledge systems and enterprise intelligence architecture.

30 Years of Firsts

Pioneer in Enterprise AI

KYield has been building enterprise AI systems longer than almost anyone — consistently ahead of the market by years, not months.

1997

Founding Theorem

Mark Montgomery conceives "yield management of knowledge" — the founding theorem of KYield and the intellectual basis for the KOS.

2003

KYield Name Adopted

KYield brand established. R&D continues on enterprise AI OS architecture, knowledge networks, and organizational intelligence systems.

2006

Core Patent Filed

USPTO patent application filed: "optimize knowledge yield in the digital workplace" — representing the first enterprise AI OS architecture (KOS).

2007

First Fortune 100 CEO

First meeting with a Fortune 100 CEO — Craig Barrett, CEO & Chairman of Intel. Beginning of sustained engagement with world-class enterprise leadership.

2009–2015

Santa Fe Institute

Contributing guest at the Santa Fe Institute for six years. Privately matured first-generation KOS R&D and developed the second-generation architecture — the Synthetic Genius Machine (SGM).

2010

First U.S. Government Agency

First engagement with a U.S. government agency — meeting with the acting CIO for the U.S. Army.

2011

Patent Granted

granted — AI systems patent for enterprise knowledge yield optimization, representing the foundational architecture of the KOS.

2012

Forrester Recognition

Featured in Forrester's "Future of BI" report — earliest major analyst recognition of KYield's approach to enterprise intelligence architecture.

2014

Wired Feature

Article featured in Wired on enterprise AI — consistently recognized as ahead of mainstream adoption by years.

2015

Computerworld Column

Inaugural Applied AI column for Computerworld — believed to be among the first regular enterprise AI columns in mainstream technology press.

2017

EAI OS Article

"Why Every Company Needs a New Type of AI Operating System" published — five or more years ahead of market recognition of the enterprise AI OS concept.

2018

Incorporated · CXO Engagement

KYield, Inc. incorporated in Delaware. Sustained engagement with dozens of CXOs and senior management teams at the world's leading companies (2018–2025, under NDA).

2019–2020

Conf. Talks · PPM · SGM Disclosed

"Metamorphic Transformation with Enterprise-Wide AI" — NM Tech Conference, IEEE Rising Stars, universities and corporations. First public disclosure of the SGM. PPM executed for institutional investors; strategic partnership discussions at JPMorgan, referred by Jamie Dimon.

2021–2022

KOS Built & Tested

The KOS built and tested on multiple technology stacks with industry partners, validating the architecture across real enterprise environments.

2024

Automotive Division

Automotive division announced. Bob Hegbloom, former CEO of RAM brand (Chrysler), joins KYield's board and leads the automotive industry vertical.

2025

ITRG Tech Trends 2025

KYield and the KOS featured in the ITRG Tech Trends 2025 Report for enterprise AI sovereignty architecture. F500 pipeline engaged.

2026

WSJ Pro Venture Capital · Marketplace

Quoted twice in WSJ Pro Venture Capital; interviewed by Marketplace, the leading public radio program on the economy.

KOS Pricing

Structured for Enterprise Scale

All enterprise licenses are negotiated. The following are base reference points. Every tier includes the complete KOS platform: Knowledge Networks, Knowledge Graphs, Personalized Learning, Data Valves, Prescient Search, Secure Messaging, GenAI/Chatbot, and Captured Preventions & Opportunities.

Basic
SMB$25,000base EL*
Mid-Market$125,000base EL
Large$500,000base EL
+ $10 / person / month
Plus excess data usage fees
Premium
SMB$50,000base EL
Mid-Market$250,000base EL
Large$1,000,000base EL
+ $20 / person / month
Plus excess data usage fees

*Enterprise licenses are negotiated. These are base reference examples only. Contact us for a tailored quote →

Thought Leadership

20M+ Views — Writing on Enterprise AI Since 2008

KYield's founder has published on enterprise AI governance, neurosymbolic architecture, and knowledge systems for over fifteen years — consistently ahead of mainstream adoption.

New · Special Paper · April 2026

The Science of Uncertainty: And the Reliability Premium

From Boltzmann to neurosymbolic AI — tracing uncertainty through physics, information theory, deep learning, the Semantic Web, and behavioral economics. Why Solomonoff's proof that optimal prediction is provably uncomputable points to the KOS as the necessary enterprise AI architecture.

Read the Paper →
View All KYield Insights →
2014
Fear of AI vs. the Ethics and Art of Creative Destruction
Wired
Info-Tech Research Group
Tech Trends 2025 Report
Featured Research · 2025
"Markets around the world recognize that knowledge is power and value digital assets accordingly. Knowledge creation and protection are essential for success in enterprise AI. Sovereignty in the modern economy requires maintaining control over your knowledge capital."
— Mark Montgomery, CEO at KYield
View ITRG Tech Trends 2025 Report →
Recognized Sovereignty

Featured in the ITRG Tech Trends 2025 Report

KYield and the KOS were featured in the Info-Tech Research Group Tech Trends 2025 Report for our work on enterprise AI sovereignty — the principle that organizations must maintain ownership and control of their knowledge capital. The report highlights KYield's approach to high-quality data tailored to the needs of each organization and individual, with every file rated for accuracy and relevancy.

The ITRG report specifically recognizes KYield's hybrid deployment model — on-device, on-premises, corporate data centers, and colocation in secure data centers — as a defining approach to maintaining data sovereignty in enterprise AI. KYield's precision data management and DANA digital assistant architecture are cited as foundational to this approach.

Enterprise Trust

Trusted by Enterprise Leaders Across Industries

KYield's work on enterprise AI systems has been followed by senior leadership at the world's largest organizations for over 15 years.

🏢

Hundreds of Leading CEOs

Hundreds of CEOs and their management teams across multiple industries have engaged with KYield's research and enterprise AI frameworks over the past 15 years — making KYield one of the longest-running and most-followed voices in enterprise AI.

📊

S&P 100 Readership

Our most loyal readers and closest followers include CEOs of more than a dozen S&P 100 companies spanning several industries — from manufacturing and financial services to life sciences and technology. While NDA obligations prevent us from naming clients, the caliber of our engagement speaks to the credibility of KYield's approach.

📬

20M+ Views · 15 Years

Mark Montgomery's Enterprise AI newsletter reaches 5,250+ subscribers on LinkedIn, 1,400+ on Substack, and thousands more through private distributions — totaling ~10,000 readers per issue. The majority are CXOs, senior managers, professors, scientists, board members, senior military and intelligence professionals, senators, and editors at leading publications. 100+ editions with 20M+ cumulative views.

Common Questions

Frequently Asked Questions

How long does a KOS deployment typically take?
Deployment timelines depend on organization size, existing infrastructure, and the scope of the initial rollout. KYield is designed for phased deployment — starting with a targeted department or function and expanding enterprise-wide. Initial pilots can be operational within weeks. Contact us to discuss a deployment plan tailored to your organization.
How does the KOS integrate with our existing systems?
The KOS is designed for broad integration — compatible with most enterprise software via API, and deployable across cloud, hybrid cloud, on-premises, and edge environments. Integration with vertical software vendors, financial and sales data systems, and most platforms with good APIs is supported. KYield works with each client to design the integration architecture before deployment.
Is the KOS suitable for mid-market companies, or only large enterprises?
The KOS is universal — designed for organizations of any size. Mid-market companies benefit from a semi-automatic self-tailoring configuration and industry-specific KOS versions built in collaboration with key customers. Pricing starts at $25,000 base enterprise license for SMB, making enterprise-grade AI governance accessible beyond the Fortune 500.
How is the KOS different from deploying an LLM like GPT or Claude?
LLMs are powerful generative tools but were not designed for enterprise governance, precision accuracy, or systemic security. The KOS is a neurosymbolic AI operating system — it provides the governance layer, security architecture, precision data management, and organizational intelligence infrastructure that LLMs cannot. The KOS can optionally integrate LLMs within its governed environment, giving you GenAI capability without the exposure.
What does a demo involve?
A KOS demonstration is typically 30 minutes, conducted directly with KYield's founder and CEO Mark Montgomery. It is tailored to your industry and specific challenges — not a generic product walkthrough. There is no sales pressure. The goal is to understand your organization's needs and show how the KOS specifically addresses them.
Is our data safe during and after deployment?
Data sovereignty is a founding principle of the KOS. The system can be deployed entirely on-premises or in a secure hybrid configuration, meaning your data never leaves your perimeter unless you choose. The 4-layer security architecture — including MFA, behavioral monitoring, data valves, and systemic access control — ensures that sensitive data is governed, auditable, and protected at all times.

Ready to Move Beyond Experimentation?

Speak with KYield's founder and CEO directly. Understand how the KOS establishes governance, eliminates security exposure, and builds measurable, compounding competitive advantage — at enterprise scale.

Get in touch with KYield