NewtonX

NewtonX launched in 2016 with a premise that would prove prescient: traditional B2B research was slow, fragmented, and did not take full advantage of automation. Founded by Sascha Eder, Germain Chastel, and Anuja Ketan, all former McKinsey consultants, the platform identified a gap where automation could accelerate expert matching and interviewing while reducing research costs. Over the past decade, the company has grown to serve Fortune 500 firms, management consulting powerhouses like Bain & Company, and market research agencies. The platform claims to serve clients like Microsoft, Salesforce, Meta, Amazon, and TikTok, representing the kinds of companies that run complex, high-stakes market research regularly. NewtonX has become valued at approximately $300 million and stands out in the expert network landscape for its heavy emphasis on artificial intelligence and machine learning throughout the research process, not just in matching but in conducting interviews and synthesizing results.

At its core, NewtonX functions as an expert network: the platform maintains a verified community of industry professionals who participate in research studies, surveys, and advisory engagements. The company claims to have verified expertise across most major industries and geographies, with "100% verified experts" as a standard claim. However, NewtonX positions itself primarily as a B2B market research platform rather than an expert network in the traditional sense. The distinction matters because the platform is oriented toward research methodologies and outcomes, not just expert access. Professionals on NewtonX do not primarily do hourly consulting calls like on GLG or Dialectica; instead, they participate in structured research programs such as surveys, AI-moderated interviews, and longer-format studies. The outcome is usually quantitative data and insights delivered to the client, not a transcript of a conversation between an expert and a researcher.

The platform's main research offerings span four categories. Brand and Communications research includes brand awareness tracking, perception studies, advertising effectiveness testing, and message development validation. Customer Research covers customer journey mapping, persona development, loyalty studies, and pricing research where companies test how customers respond to different price points. Market Opportunity research assists with competitive intelligence, market entry analysis for new geographies or products, and go-to-market strategy validation. Product Research focuses on concept testing, product validation, UX research, and conjoint analysis, the statistical method for understanding how customers value different product features. Each research type can be conducted with expert inputs, customer feedback, or both, depending on the client's needs. This breadth means NewtonX experts might participate in a brand perception study one month and a competitive intelligence research project the next.

What distinguishes NewtonX is its central investment in artificial intelligence. The platform uses AI-moderated interviews, where an AI system conducts structured interviews with experts rather than a human researcher. This approach purports to deliver "qualitative insights at the scale of a survey," compressing the timeline for in-depth research and reducing the cost compared to human-moderated interviews. The company's Hub Researcher tool is described as providing "a research analyst that never sleeps, never misses context, and always delivers insights," using AI to analyze responses, identify patterns, and synthesize findings. For clients conducting research at scale, this automation is a significant efficiency gain. NewtonX Augmented Data (NXAD) takes automation further by using verified expert responses to generate synthetic research samples for hard-to-reach market segments. This capability is useful when a client needs insights from a demographic or role that is hard to find in the real world: venture capitalists in Southeast Asia, biotech product managers in emerging markets, or mid-market healthcare CIOs. Rather than spending weeks recruiting a few real experts from these groups, NXAD uses AI to extrapolate realistic responses based on verified data, expanding the research sample.

From a professional's perspective, participating in NewtonX research is different from hourly expert consulting. Rather than taking a call with a client and discussing your expertise extemporaneously, you answer a structured survey or participate in an AI-moderated interview where the questions are prepared in advance and your responses are recorded. The format is more like a survey respondent role than a consulting engagement. Each research project has a set time commitment, often 30 to 60 minutes for a survey or interview, and you complete it on your own schedule within a deadline window provided by the platform. Compensation is provided for participation, though NewtonX does not publicly disclose per-study rates. The company states that professionals can "earn and influence with your experience" through participation and that the professional community can access a dedicated portal to manage profiles and view available opportunities. Payment schedules and methods are not detailed on the public-facing site.

Compared to classic expert networks, NewtonX research participation is less intensive but also more structured. You are not selling your time on an open marketplace like Toptal or competing with peers on pricing like Upwork. Instead, NewtonX's algorithm identifies which experts are relevant for each research project, and if you match, you receive an invitation to participate. This targeted matching reduces the "cold outreach" feeling and ensures the research aligns with your expertise. The structured, time-bounded nature of research projects also provides clarity: you know exactly what is being asked and how long it will take, reducing ambiguity. On the other hand, you cannot negotiate rates or build a long-term relationship with a single client the way you might on advisory platforms. Each project is separate, and compensation is determined by NewtonX based on internal algorithms, not by you.

The company's claim of "97% of requests are feasible" is notable and speaks to the breadth of its expert network. This metric suggests that when a client requests research from a specific demographic or expertise group, NewtonX can usually fulfill it without having to expand the scope or compromise. For experts, this means strong market demand for verified professionals in mainstream roles and industries. Early-career professionals, mid-market specialists, and senior leaders across technology, finance, healthcare, manufacturing, and professional services likely see steady research opportunities. Niche or extremely specialized expertise might see lower frequency, as does geographic remoteness from economic centers where corporate clients concentrate their research.

The onboarding flow for NewtonX professionals is straightforward. The company maintains a "For Professionals" section on its site where interested researchers can learn about participation and earn potential. Professionals can join the NewtonX Professionals Community and set up a profile. Once approved, they gain access to a professionals portal where available research opportunities are listed. Professionals can review studies, see the time commitment, and opt in to research that matches their expertise and schedule. Payment is processed by the platform after study completion, though the exact payment timeline is not specified on public pages. The absence of a published payment schedule is a minor weakness compared to proSapient, which explicitly states 7-10 day processing.

One strength of NewtonX is the scale and reputation of its client base. Fortune 500 companies and consulting powerhouses like Bain & Company trust the platform, which implies that the research you participate in is for high-stakes business decisions, not low-value surveys. This can be motivating for experts who want to know their insights actually influence significant decisions. The AI-moderated interview format also reduces pressure: you are providing information to a machine interface, not performing under the gaze of a human researcher, which some professionals find less stressful. The structured, time-bounded format provides predictability compared to hourly consulting where calls can run long or schedules can be unpredictable. Drawbacks include that rates are non-negotiable and set by the platform's algorithm, and income is potentially variable depending on how many research projects match your profile in any given month. The structured format also means less interaction with clients compared to expert consulting, which some professionals find less rewarding. If you value direct relationships with clients and customized advice, NewtonX is less suited to your preferences.

NewtonX is best for established professionals in mainstream industries and roles who want to participate in serious, high-profile research without the sales effort or negotiation typical of consulting platforms. If you are a product manager at a mid-market SaaS company, a business development leader in technology, a healthcare strategy professional, a supply chain manager, or a financial analyst with deep knowledge of your sector, NewtonX offers a structured way to contribute expertise to Fortune 500 research. The platform appeals to busy professionals who do not want to manage client relationships or negotiate rates but do want to influence corporate strategy and business decisions. The $300 million valuation and client roster provide confidence in platform stability and quality. For early-career professionals, those in highly niche fields, or those seeking direct consulting relationships, other platforms may be better. For mainstream experts seeking low-friction participation in serious research, NewtonX delivers a reliable, technology-enabled pathway.