Insights democratization
Replace months-long analyst requests with a BI agent that lets any employee query sales data, market share, retailer performance, and competitive intelligence in natural language — answers in seconds.
We build internal AI products that help consumer products companies surface insights from decades of sales data, retail relationships, and market intelligence. From AI marketplaces that connect every employee to relevant data, to business intelligence agents that answer questions in seconds instead of months.
We begin with the operating reality, then design the product around the people, decisions, rules, and evidence already in the work.
Replace months-long analyst requests with a BI agent that lets any employee query sales data, market share, retailer performance, and competitive intelligence in natural language — answers in seconds.
Aggregate POS data, retailer portals, field reports, and syndicated data into a single view that flags distribution gaps, shelf share changes, and promotion effectiveness by retailer and region.
Analyze consumer trends, social signals, competitive launches, and historical performance to identify white-space opportunities and prioritize which product concepts to advance.
Connect demand signals, inventory levels, production schedules, and logistics data to predict shortages, optimize reorder points, and reduce working capital tied up in excess inventory.
Unify media spend, trade spend, consumer response, and sales lift data to measure true incrementality by channel, campaign, and retailer — without waiting for quarterly reports.
Capture institutional knowledge from retiring leaders and field teams into an AI system that makes it available to every employee, preserving decades of relationship and market wisdom.
Not a standard product you have to work around. A focused operating layer that can connect the tools and data you already use.
A curated internal marketplace where employees discover and access AI tools, data sources, and insights relevant to their role — from market analysis to promotional planning.
Natural-language interface over sales, share, retailer, and competitive data. Ask 'How did our toothpaste share change at Walmart last quarter?' and get an instant answer with source data.
Real-time view of distribution, shelf share, out-of-stocks, and promotion performance across every retailer, updated from POS and syndicated data feeds.
Continuous scan of consumer trends, social listening, competitive launches, and category dynamics to surface white-space opportunities before competitors see them.
Predictive inventory and demand planning that connects forecasts to production and logistics, reducing stockouts and excess inventory simultaneously.
AI-powered capture of expert knowledge from departing leaders, field teams, and long-tenured staff — structured and searchable for the next generation.
These are deployment results and study findings, not forecasts for your business. We use them to establish plausibility, then model your ROI from your own volume, time, labor cost, error rate, and throughput.
1 month to 1 minute for employee data queries at a Fortune 250 CPG company.
WSJ / Colgate-Palmolive ↗Predictive demand planning and real-time POS visibility across retailers.
McKinsey CPG report ↗Pricing optimization and trade spend reallocation at mid-market CPG scale.
Evergence deploymentsAI-surfaced white-space opportunities reduce time from concept to shelf.
BCG consumer innovation study ↗We built an AI Marketplace and a Business Intelligence Agent for use by all global employees of Colgate-Palmolive. The BI Agent enables any employee to query sales data, market share, retailer performance, and competitive intelligence in natural language — delivering insights in seconds that previously took analysts months to compile. The AI Marketplace curates internal tools and data sources so every employee can discover and leverage AI capabilities relevant to their role, driving faster cycle times and improved profitable growth.
We’ll show you the internal AI product that can simplify it.
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