Unlock Expert Knowledge at Scale

dilmind is building a network of expert knowledge.

The most valuable business knowledge is often not public or easily searchable. It lives in the heads of experts: professionals with deep, practical experience in a specific market, industry, function or technology.

The platform helps experienced professionals share, monetize and scale their knowledge, while helping decision-makers access the specialist insights they need to make better business decisions.

An expert is an experienced professional who has accumulated practical knowledge in a specific industry, market, function, technology, customer segment or business model.

Experts may include former executives, operators, consultants, product leaders, commercial leaders, technical specialists, buyers, users, distributors, industry advisors or other professionals with first-hand experience relevant to a client’s strategic questions.

At dilmind, an expert is not only defined by their job title or seniority. What matters most is whether they have relevant, recent and practical insight that can help a client better understand a market, evaluate an opportunity, assess risks or make a more informed decision.

dilmind is designed for teams that need sector, market, customer, competitor or operational insights to make high-stakes decisions. Our clients include private equity firms, consulting firms, asset managers and corporate teams, including strategy, M&A, product, marketing, competitive intelligence and leadership teams.

They use dilmind for investment decisions, commercial due diligence, market mapping, product validation, go-to-market strategy, vendor selection, competitor monitoring, customer understanding and other strategic decisions.

dilmind helps clients access insights that are often difficult to find through public sources, market reports or general AI tools alone.

These insights come from experienced professionals who have seen markets from the inside: how customers buy, how competitors operate, how vendors perform, what slows adoption and what really happens in practice.

By capturing and structuring these first-hand perspectives, dilmind helps decision-makers access more practical, contextual and decision-relevant expert knowledge.

dilmind starts with a client’s strategic questions: the market, sector, company, product or decision they need to better understand. We help clients refine their research scope and frame the right questions, so the expert knowledge collected is focused on what really matters for the decision.

For each project, dilmind custom-identifies and recruits relevant experts. As part of the expert selection and qualification phase, experts are invited to complete an AI-led interview. This first step helps assess their experience, capture their initial insights and determine how well their expertise fits the client’s needs before any further engagement.

AI interviews do not replace live expert calls. If an expert profile is selected by the client, dilmind can organize a live call on demand. At the end of the project, dilmind brings together the expert interviews, live call content and related insights into a full project analysis.

An AI interview is a live conversation between an expert and an AI voice agent.

It works like a normal discussion: the AI interviewer asks questions based on the client’s research priorities, listens to the expert’s answers and follows up naturally to clarify points, explore examples or go deeper into relevant areas.

The goal is to understand what the expert actually knows, how they think about the market or topic and how useful their first-hand perspective may be for the client’s research priorities.

AI-led interviews help clients assess expert relevance earlier, faster and more efficiently. Instead of scheduling multiple live calls upfront and taking the risk of spending time with the wrong expert, clients can first understand what each expert knows, compare perspectives and reserve live conversations for the most relevant profiles.

The interview is conducted by an intelligent AI voice agent that asks questions based on the client’s research priorities and follows up naturally on the expert’s answers. This helps capture deeper, more structured insights, while giving experts more flexibility to participate without the usual scheduling constraints and, when relevant, in their preferred language.

AI interviews also create a more controlled, confidential and compliant qualification process. Clients do not need to reveal their identity directly during the initial stage, and experts are not fully disclosed unless selected.

You can launch a project in minutes. Once the scope is defined, dilmind handles custom expert recruitment, runs AI-led interviews asynchronously and starts delivering first expert insights typically within 2 to 3 days.

We aim to complete the full expert sourcing and qualification process within one week, depending on the research scope, expert availability and required sample size.

No. dilmind does not use expert interview data to train AI models.

Our objective is the opposite: to help experts turn their knowledge into a structured professional asset that they can control, protect and monetize through relevant opportunities.

Over time, dilmind also helps experts scale the value of their knowledge by connecting it with broader market data, research and when relevant perspectives from other expert peers.

dilmind is designed to deliver expert intelligence, not just expert access.

For clients, dilmind helps assess expert relevance earlier, compare perspectives faster and access higher-quality expert content before deciding whether to move to a live call.

For experts, dilmind creates a more controlled and valuable way to share knowledge, access relevant opportunities, be compensated for their expertise, build visibility and personal branding, and continuously scale and improve their knowledge over time.