Expert perspectives on AI-powered interviews, primary research strategies, and the future of investment research.
AlphaSense acquired Tegus in 2024. Here's what that means in practice — how the Tegus transcript library differs from the wider AlphaSense document-search environment, and which to reach for.
Read moreDialectica and GLG both broker expert access but source it differently — fresh recruitment per project versus a global expert database. How they compare on vetting, lead time, and pricing, and what AI-moderated calls change.
Read moreTegus and GLG solve expert research differently — a searchable library of prior interviews versus brokered access to live experts. How they compare on vetting, call execution, and pricing, and what the AI-moderated shift means.
Read moreAlphaSense alternatives and competitors — including its Tegus library, plus GLG, Dialectica, and specialist networks — and what AlphaSense's in-house AI-moderated calls mean for boutique ENs.
Read moreWhat expert networks cost in 2026 — per-call fees, retainers, and subscriptions, what drives the price, and how AI-moderated calls change the per-call economics.
Read moreGLG alternatives and competitors compared — Tegus/AlphaSense, Dialectica, and specialist networks — plus the AI-moderated call shift and what it means if you run an expert network.
Read moreHow expert networks white-label AI-moderated calls — offer structured expert calls as a client-facing service line under your own brand, or use them to cut internal vetting opex.
Read moreAn honest side-by-side of the major expert networks — GLG, AlphaSense and its Tegus library, and Dialectica — how they vet experts and run calls, and why the leaders are adding AI-moderated calls. What it means if you run an expert network.
Read moreAI-moderated calls let expert networks run structured expert conversations at scale — to vet and update expert profiles and to offer AI-moderated calls as a service to clients. Here's how they work and where they fit.
Read moreEvery interview comes back marked complete — the stonewalled one and the genuinely insightful one look identical. Here's how to tell them apart at scale: score each interview against its own objective, and separate how well the AI ran it from how much the expert actually gave.
Read moreWhat an 'AI agent' really means in PE due diligence — the copilot-vs-agent line, where autonomy works today, and the one DD step a true agent runs end-to-end.
Read moreExpert-call screening is usually an unverifiable checkbox. Make it a gate the conversation can't get past until your own criteria are met — with the handoff itself as the record.
Read moreWhy a single interview prompt underserves a CTO and a sales VP alike — and how an interview pipeline that adapts at the vetting stage fixes it without nine separate projects.
Read moreA single interview pipeline that adapts to who is actually on the call — role-aware questioning, your own pre-call screening as a gate, one call instead of two, native-language coverage. Configuration only.
Read moreWhen vetting is link-based and self-serve, experts run their own vetting calls outside any single time zone — and specialist networks gain a structural advantage in supply intake that incumbent headcount can't close.
Read moreA methodology for running commercial due diligence at interview scale — the 6 interview types that matter, what to capture in each, and a week-by-week timeline.
Read moreHow strategy consultancies validate TAM and segmentation through primary research — the 4 expert types, what to ask, and how to triangulate a defensible number.
Read moreA playbook for Insights Managers at strategy consultancies — how to scale primary research for case teams without growing headcount.
Read moreHow search fund searchers and independent sponsors run customer reference calls, former-employee interviews, and industry scoping without a research team.
Read moreA single expert call costs 3-4 hours of overhead around a 30-minute conversation. For small advisory teams, that's half your capacity. Here's what AI changes.
Read moreHow AI and APIs are unbundling expert networks into supply, orchestration, and intelligence layers — and what it means for PE firms, network operators, and research analysts.
Read morePE firms are replacing $500K consulting engagements with AI voice agents for commercial due diligence. What the shift means for deal teams.
Read moreCompare expert network software platforms side by side — traditional brokers, self-service directories, and AI-moderated solutions. See which approach fits your team's volume, budget, and compliance needs.
Read moreThe expert network industry is shifting from broker-led matchmaking to AI-powered platforms. Learn what's driving the change — compliance pressure, cost compression, and scale — and what it means for investors, experts, and compliance teams.
Read moreA practical guide to automating expert network calls—from vetting to structured interviews. Learn which call types to automate first and how AI handles scheduling, moderation, and transcription.
Read moreOpenAI just acqui-hired the creator of OpenClaw, the viral open-source AI agent. Here's what the rise of autonomous agents means for research teams in finance, pharma, and consulting.
Read moreExpert vetting hasn't evolved in a decade. AI-moderated vetting calls screen experts 24/7 in 29 languages—eliminating scheduling bottlenecks and scaling expert screening without adding headcount.
Read moreAI now handles every broker function — sourcing, matching, scheduling, compliance, and call moderation. Here's why firms are switching to AI-moderated expert calls and what it means for the $4B industry.
Read moreHow AI copilots augment live expert calls with real-time transcription, complete call records, and intelligent prompting — helping investment teams extract more insight from every conversation.
Read moreModerated expert calls with AI follow-up questions deliver deeper insights than questionnaires. See why teams are switching from surveys to AI-moderated interviews for expert research.
Read moreNew feature dramatically improves transcription accuracy for technical terms, company names, and industry jargon in expert interviews.
Read moreSpeech recognition struggles with specialized terminology in expert interviews. Understanding why helps research teams evaluate transcription quality and set realistic expectations.
Read moreHow expert networks work, what expert interviews actually involve, typical costs, and how AI-moderated platforms change the scale and cost equation for institutional investors.
Read moreThe expert network industry has grown into a $4 billion market. But AI agents are fundamentally changing how institutional investors conduct primary research at scale.
Read moreLive Observation gives you real-time visibility into every AI-conducted interview. See the conversation as it happens, build trust in your AI agents, and never wonder what was said on the call.
Read moreHow family offices use AI for direct-deal diligence — from deal screening to AI-moderated expert calls. A practical guide for lean in-house teams.
Read moreThe path to fully autonomous AI isn't about blind faith—it's about building confidence through transparency. Learn why real-time observation capabilities are essential for teams adopting AI agents for customer-facing tasks.
Read moreThe AI tools PE deal teams actually use — from data room review to AI-moderated expert calls. How top firms cut diligence from months to weeks.
Read moreHow conversational AI is transforming financial services, from investment research automation to client interactions and operational efficiency.
Read moreLearn how custom variables let you tailor AI-powered expert interviews for different research projects, companies, and industries—without rebuilding your agent prompts each time.
Read morePractical strategies for improving research workflow efficiency for investment validation, from expert interview automation to AI-powered analysis tools.
Read moreLearn what portfolio construction means, why it matters for investment performance, and how modern research tools are transforming the process for institutional investors.
Read moreLearn how leading hedge funds and asset managers measure AI return on investment, with concrete metrics showing 20% cost reductions and 3-5% performance improvements from AI-first strategies.
Read moreDiscover how agentic AI is revolutionizing investment research by autonomously executing complex workflows, from expert sourcing to due diligence, and why 95% of PE firms are planning implementation in 2026.
Read moreUnderstand the technology behind AI-powered expert interviews—from voice synthesis and natural language processing to real-time conversation management and intelligent follow-up questioning.
Read moreLearn how to automate expert network calls with AI—scale interview volume, reduce post-call processing by 60-80%, and run more expert conversations without growing your team.
Read moreFrom AI-first platforms to on-demand expertise, explore the key trends transforming how investment professionals access and leverage expert networks for primary research.
Read moreA practical guide to compliance in expert network calls. How to identify material non-public information, implement safeguards, and maintain audit-ready documentation.
Read moreHow to conduct effective channel checks for investment research. Methods, best practices, and how technology is transforming this essential research technique.
Read moreHow AI is used in equity research — earnings call analysis, expert interviews, and report drafting across hedge funds and asset managers.
Read moreA look at how expert networks have transformed over the past two decades, from simple matchmaking services to sophisticated research platforms powered by artificial intelligence.
Read moreLearn how top investment analysts extract maximum insight from expert conversations through better preparation, questioning techniques, and post-call analysis.
Read moreThe primary research methods used by hedge funds and asset managers—expert interviews, channel checks, surveys, and more—and how AI-moderated calls are changing the scale equation.
Read moreHow automatic transcription technology is transforming investment research workflows, from earnings calls to expert interviews.
Read moreInsights into the primary research practices that distinguish the most successful hedge funds, from resource allocation to technology adoption.
Read moreUnderstanding how alternative data sources complement traditional research and expert networks in building investment edge.
Read moreNot everything should be automated. Here's what top PE firms actually use AI for in due diligence—and where they deliberately keep humans in the loop.
Read moreA guide to crafting questions that extract maximum insight from expert conversations, with examples and techniques used by top analysts.
Read moreHow NLP technology is being applied to extract investment signals from earnings calls, news, filings, and expert conversations.
Read moreAn analysis of how investment firms are adopting new technologies, from AI and cloud computing to collaboration tools and research platforms.
Read moreStrategies for expanding research capabilities as investment firms grow, from process standardization to technology adoption and team development.
Read moreThe 5 AI tools hedge funds actually use to turn unstructured data into actionable insights—from transcription to real-time interview augmentation. Based on interviews with 12 funds.
Read moreHow finance teams use conversational AI for research, client analytics, and operations. Real use cases, tools, and implementation strategies.
Read moreHow investment firms can develop systematic approaches to identifying, vetting, and engaging experts for primary research.
Read moreHow artificial intelligence is transforming due diligence processes for private equity, venture capital, and hedge fund investments.
Read moreHow leading investment firms capture, organize, and leverage institutional knowledge to create sustainable competitive advantages.
Read morePractical applications of machine learning in investment research and due diligence, from document analysis to pattern recognition.
Read moreCut hours from your investment research process with proven workflow fixes. Learn what top-performing teams automate, delegate, and eliminate.
Read moreUnderstanding the complementary roles of qualitative and quantitative research methods in building investment conviction.
Read moreWhere expert networks are heading, from AI integration and global expansion to new service models and technology platforms.
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