decisionMe is a company that provides a platform and services to help individuals and teams make better and more informed decisions. Pulse 2.0 interviewed decisionMe founder and Chief Decision Guide Glenn D. House, Sr. to gain a deeper understanding of the company.
Glenn House’s Background
What is Glenn House’s background? House said:
“I’m a technology executive and three-time successful entrepreneur with a strong foundation in analytics, AI, and decision support systems. Over my career, I’ve led the development of advanced simulation platforms, machine learning forecasting engines, and AI-driven decision platforms. At 2Is Inc., now part of Northrop Grumman, I architected solutions supporting aircraft sustainment and global supply chain operations, fusing stochastic modeling, optimization, and visualization to drive performance. Most recently, I founded decisionMe Inc. decisionMe is a decision intelligence company that offers a web-application decision-support application called raDAR, consulting and speaking services. raDAR, the decisioning application fuses AI, analytics, statistical simulation, and visualization to enhance collaborative decision-making for teams and individuals.”
Formation Of The Company
How did the idea for the company come together? House shared:
“The idea for DecisionMe’s raDAR emerged from decades of experience helping large organizations navigate their most complex and costly decisions—often six-figure or multi-million dollar in scale—those involving hard assets, labor, and capital. I saw these decisions being made with ad hoc methods and anecdotal reasoning, even at the enterprise level. After 23 years building rigorous, AI-enabled decision support frameworks for government and industry, I saw an opportunity to bring that same discipline and insight to individuals and small businesses. decisionMe was founded to democratize decision-making, taking proven, expert-grade methodologies and making them accessible to anyone facing a high-stakes choice.”
Favorite Memory
What has been your favorite memory working for the company so far? House reflected:
“My favorite memory working for the company has been witnessing that ‘aha’ moment—when users move through the structured problem definition and decision-making process and suddenly see the clarity it brings.
What makes it truly rewarding is seeing their reaction to the output – their output. When they see the final decision summary—clear, logical, and fully aligned with their priorities—they’re often surprised by how powerful the experience is. It’s a moment of insight that I enjoy most.”
Core Products
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What are the company’s core products and features? House explained:
“Currently, the company has three offerings: First, decisionMe’s introductory product, Risk-Abated Decision Analysis and Reasoning (raDAR™), is designed for individual decision-makers and operational managers. It pairs a conversational AI assistant with structured decision logic to uncover critical factors, conduct targeted research, and surface what you don’t know. By removing common cognitive biases through its engineered framework, raDAR helps users reach clearer, more defensible outcomes. It integrates statistical simulation to ensure input assumptions align with the most advantageous options. A team collaboration version for geographically distributed B2B users is in development, enabling group-based decision support unlike anything currently on the market.”
“decisionMe also offers business consulting in the areas of decision intelligence, product management, concept engineering and innovation, business development and expansion, and navigating highly regulated industries including government agencies.”
“Public speaking at corporate functions, seminars, and professional conferences is also a service we offer at decisionMe. Our dynamic speakers use storytelling to convey critical business topics that we have excelled in over the years.”
Challenges Faced
Have you faced any challenges in your sector of work recently? House acknowledged:
“A key challenge we’ve faced is helping people recognize the limitations of their current decision-making habits. Many still solely rely on advice from friends, influencers, or random online searches, often without realizing how these inputs can introduce bias and inconsistency. To change this, we’ve introduced a structured framework that combines AI assistance, analytics, simulation, and world-class documentation—tools that have traditionally been out of reach for individuals and small to medium-sized businesses. These resources provide clarity, reduce guesswork, and elevate decision quality in ways that informal methods cannot.”
“To overcome this challenge, we’ve focused on making our approach both powerful and accessible. Our AI assistant guides users through each step, while simulations and data analytics help them test and refine decisions before taking action. The process is supported by best-in-class documentation that ensures transparency and repeatability. What’s truly unique is that all of this is offered at a price point that was previously unimaginable for non-enterprise users. We’re not just helping people make better decisions—we’re democratizing access to tools and methods that were once exclusive to large organizations.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since its launch? House noted:
“Since launch, decisionMe’s technology has evolved to meet the demands of an AI landscape that moves fast and often unpredictably. While generative AI like ChatGPT can offer helpful insights, it lacks guardrails—it can introduce bias, fabricate information, or misread context. raDAR was built to counter these shortcomings. It guides users through a structured decision-making process, reducing bias and enabling hyper-personalized inputs specific to each unique situation. Our system pairs AI’s breadth with decision science rigor, offering a low-friction experience that delivers clarity without the time cost of traditional consulting or analysis. The result: more intelligent decisions, made faster—with confidence.”
Differentiation From The Competition
What makes your AI assistant, algorithms, and statistical simulation—when combined with your decision framework—more effective than traditional methods like web search or general-purpose tools like ChatGPT? House affirmed:
“Our approach stands out because it’s built around raDAR, our decision framework that guides users through decision definition, criteria, personalization, scenarios, and results. It allows for both analytic and subjective data. Unlike general-purpose tools like search engines or ChatGPT, which can provide information or advice but lack structure, raDAR offers a systematic path from problem definition to confident, bias-reduced decisions. Our AI assistant doesn’t just answer questions—it collaborates with the user to identify what’s important, generate and evaluate meaningful alternatives, and document a clear, justifiable rationale for every choice. This ensures users don’t just get answers, they understand their decisions and can stand behind them.”
“Where search and chat-based tools often deliver fragmented insights or influence users based on popularity and trends, our statistical simulations and algorithms bring transparency and analytical depth to the decision process. They help users stress-test choices, uncover hidden trade-offs, and predict outcomes more reliably. This creates a decision-making experience that is data-informed, user-driven, and highly repeatable—something that individuals and small to mid-sized businesses have rarely had access to until now.”
Customer Success Stories
Can you share any specific customer success stories? House highlighted:
“One of our standout customer success stories was with a professional in the bio pharma industry who was trying to figure out her next career steps. She was deciding whether to stay in the same area, search for a new role within 50-miles of her house, or begin a nation-wide search for her next role.”
“She defined the multi-factor decision and used the AI assistant to define decision criteria and constraints. Once raDAR delivered suggestions for each, she then modified, weighted, and personalized it further for her unique situation. She was blown away by the amount of detail in decisionMe’s custom recommendation, with data visualizations and a formatted report. She said it would have taken her weeks to move through the major life decision that took less than an hour to solve with decisionMe.”
Funding & Revenue
When asking House about the company’s funding details, he revealed:
“To date, we have fully self-funded the development and growth of our platform. We’re confident in our ability to establish a profitable subscriber base through both B2B and B2C channels, leveraging the unique value of our structured decision-making framework. Our early efforts have focused on creating a solid foundation—demonstrating demand, refining the user experience, and delivering measurable impact—so we can scale sustainably.”
“As we progress toward our intermediate and strategic goals, we plan to explore external funding opportunities that align with our vision. Our approach is to advance deliberately, clearing key adoption and technical milestones that reduce risk and increase clarity for potential investors. When we seek outside capital, we expect to present a proven model with growing traction, a validated product-market fit, and clear paths to scale. This positions us not just to attract funding, but to do so on terms that support long-term value creation.”
Total Addressable Market
What total addressable market (TAM) size is the company pursuing? House assessed:
“Focusing solely on core English-speaking markets—the U.S., Canada, U.K., and Australia—raDAR is pursuing a Total Addressable Market (TAM) of approximately 100 million individuals who regularly face complex personal decisions, such as choosing a career, educational path, or life transition. This includes high school and college students, early-career professionals, and adults considering career changes—demographics that are digitally engaged and culturally aligned with self-guided, structured decision-making tools.”
“On the B2B side, the TAM includes an estimated 200,000 organizations, such as schools, universities, workforce development programs, EdTech platforms, HR software providers, and companies in sectors like insurance, healthcare, and enterprise software. These organizations are ideal customers for RaDAR’s white-labeled, embedded, or API-driven decision-support technology. Together, this represents a large and accessible TAM across the English-speaking world, with strong infrastructure, budget availability, and market readiness for modern decision-making solutions.”
Differentiation From The Competition
What differentiates the company from its competition? House affirmed:
“DecisionMe operates within a competitive landscape that includes career-specific tools (like CareerExplorer, Truity, and PathwayU) and broader decision-support platforms used in high-stakes industries such as pharmaceuticals, insurance, and enterprise software. Decision engines focus on predictive modeling, risk analysis, and optimization in sectors like drug development and insurance underwriting. Tools like IBM Watson and enterprise-grade decision intelligence systems emphasize data-heavy, algorithmic precision but are built for technical users and institutional contexts, not individuals making decisions. Meanwhile, platforms like Zocdoc or policy comparison engines simplify to narrow choices (e.g., choosing a doctor or insurance plan) but don’t scale to multifactor, high-impact personal decisions like career selection. These applications prioritize speed or data complexity, but rarely balance emotional clarity and holistic relevance for the end-user.”
“DecisionMe is clearly differentiated in its ability to combine the rigor of structured decision science—similar to what’s used in professional domains—with an accessible, emotionally resonant interface for everyday people. It translates decision theory into a guided, user-friendly experience tailored to students and career changers, not analysts or executives. It doesn’t just compare job titles; it models life outcomes based on what truly matters to users, like autonomy, stability, and social connection. Unlike enterprise platforms that require expert operators or generic tools that oversimplify, decisionMe empowers users to engage deeply with complex tradeoffs and come away with confidence, clarity, and actionable next steps. This unique positioning allows it to intersect with robust decision science and real human impact.”
Future Company Goals
What are some of the company’s future goals? House concluded:
“Our immediate goal is to drive adoption in both B2B and B2C markets by introducing our platform to users who can benefit from structured, AI-supported decision-making. In the B2B space, we target domains that prioritize quality and compliance—such as Agile Software, CMMI, and other process-driven areas. Sectors like insurance, oil and gas, healthcare manufacturing and delivery, and defense offer rich opportunities due to their need for rigorous, transparent decision frameworks. On the B2C side, we’re focusing on university students and young professionals navigating important career and life choices. By increasing awareness, delivering value, and building a foundation of successful use cases, we aim to create momentum across both segments.”
“As an intermediate goal toward our long-term strategy, we are expanding our platform’s capabilities with a real-time collaboration product that enables geographically dispersed teams to work together seamlessly – Team raDAR. This tool allows users to engage in structured decision workflows—reducing bias and improving clarity—regardless of physical location. It supports synchronous collaboration and integrates with our AI assistant, helping teams make informed decisions quickly and transparently. Strategically, this sets the stage for a broader vision: to create an ecosystem of decision-making capabilities that democratizes access to world-class tools once limited to large enterprises. Our long-term goal is to deliver a flexible, scalable solution that empowers individuals and organizations to make better decisions—anytime, anywhere.”
