Our IT team says they can build an insights tool on top of ChatGPT or another LLM. Why shouldn’t we go that route?
Building a general-purpose LLM into an enterprise insights tool is a multi-year engineering project, not a configuration exercise. You’d need to solve secure integration with dozens of research and data providers, build domain-specific reasoning that understands source authority and data recency, create agentic workflows that detect signals and trigger actions, and develop virtual consumer testing capabilities. DeepSights has spent over a decade solving these problems for 100+ global enterprises. The real cost isn’t the build — it’s the opportunity cost. Every month your team spends engineering an unproven prototype is a month your competitors spend getting smarter with proven active intelligence.
How is DeepSights different from Stravito or other knowledge management platforms?
Knowledge management platforms solve findability — making reports searchable. DeepSights goes far beyond that. It synthesises across sources to uncover insights no single report contains, uses always-on AI agents to detect emerging market signals and alert your teams, validates concepts with AI-powered virtual consumers, and triggers action directly in your business workflows. The difference is the distance between a library and a strategist. A library stores what you’ve already learned. An active intelligence system continuously discovers what you need to know next.
Can DeepSights connect to our existing research, syndicated data, and internal systems?
Yes. DeepSights has the broadest integration ecosystem in the market. Out-of-the-box connectors work with leading data providers like Mintel, Euromonitor, NIQ, and Kantar, along with enterprise systems including SharePoint, Teams, and business intelligence platforms. It understands all formats — from text and presentations to images and structured data tables — and brings them together into a single, connected intelligence layer. No more silos. No more switching between tools. One platform gives you your unique, complete view of the market.
How can we trust AI-generated insights for high-stakes business decisions?
This is the right question — and the one generic AI can’t answer well. DeepSights is purpose-built for insights rigour. It analyses evidence the way a senior insights professional would: weighing the authority of each source, assessing how recent the data is, flagging when sources conflict, and always grounding answers in your verified market intelligence rather than generating plausible-sounding fiction. Every answer is traceable to its evidence. Your teams can see exactly what data underpins each insight, building the trust that high-stakes decisions demand.
What do you mean by “always-on” intelligence? How does that work in practice?
DeepSights runs multiple purpose-built AI agents that work continuously in the background. Some agents are always active — monitoring market signals, scanning for emerging trends, detecting competitive moves, and identifying gaps in your knowledge base. Others are on-demand, ready to be triggered by your team or by other systems when a specific question needs answering or an idea needs validating. Insights come to you, not the other way around. Instead of waiting for someone to run a query, the system proactively surfaces what matters and delivers it into the workflows where decisions are actually made.
This sounds like a big transformation. How quickly can we see value?
You’ll see value in weeks, not quarters. Market Logic has guided 100+ enterprise deployments through a proven four-stage roadmap — Unify, Democratise, Synthesise, Automate — and each stage delivers measurable benefit. Most organisations start by connecting their knowledge sources and democratising access, which alone delivers 97% faster insights discovery according to independent research. You don’t have to transform everything at once. Start where the pain is greatest, prove value fast, and scale from there with expert guidance at every step.
Is this only for insights teams, or does it serve the broader organisation?
Active intelligence serves every decision-maker who needs to understand markets and consumers. While insights leaders are often the catalyst, the system delivers value to CEOs making portfolio allocation decisions, CMOs sharpening go-to-market strategies, brand managers tracking competitive moves, product leaders validating roadmaps, innovation teams testing new concepts, and strategy leaders stress-testing assumptions. One system, shared truth, every team aligned. That’s how you eliminate the strategic fragmentation that slows most large organisations down.
What makes DeepSights’ virtual consumer testing different from running a survey?
Traditional research takes weeks and costs thousands per study. DeepSights’ AI-powered virtual consumers — built on your actual customer data and market research — let you test positioning, messaging, concepts, and product ideas in minutes, not months. You can iterate rapidly, explore multiple directions, and refine ideas before committing real resources to expensive quantitative validation or in-market testing. It doesn’t replace research — it supercharges it. Test early, test often, and arrive at the validation stage with stronger, more refined concepts that have a much higher chance of success.
How does Market Logic handle data security and enterprise compliance?
Market Logic is built for the most demanding enterprise environments. Your proprietary data stays within your security boundary — it is never used to train general models or shared across clients. The platform supports SSO, role-based access controls, data residency requirements, and comprehensive audit trails. We meet the security standards of the world’s largest CPG, pharmaceutical, and retail organisations. Enterprise-grade security is foundational, not an add-on. It’s why Fortune 500 companies trust DeepSights with their most sensitive competitive intelligence.