AI Brand Reports for CPG Decision-Makers
Case Study: Brandtuit
Brandtuit partnered with Melt Studio to develop an AI-powered brand management platform for CPG brand managers—bringing brand data into one place, analyzing it with AI, and generating ready-to-use, client-presentable reports in a secure, multi-tenant environment.
THE CHALLENGE
Unifying Global + Private Data for Faster Insights
Brand teams needed actionable insights from many sources. The platform required global industry knowledge plus tenant-specific private data—with strict tenant isolation—so users could ask questions, uncover patterns, and generate reports efficiently.
INITIAL STATE
OUR SOLUTION
We designed a multi-agent system with a two-tier knowledge layer (Global + Tenant-Specific) to ingest, analyze, and synthesize information in real time—producing non-obvious recommendations and professional-quality reports through iterative sprints.
Requirements
Two-tier knowledge scope.
Defined the Contextual Intelligence Layer: a Global Knowledge Layer (frameworks, definitions) and a Tenant-Specific layer for proprietary content—plus retrieval rules that preserve isolation.
Application
Agent + retrieval building
Specified backend services via API, integrating LangChain for retrieval orchestration and agent workflows, LangGraph for complex reasoning flows (as needed), and LangFuse for observability.
Prototype
Report pipeline iteration
Prototyped knowledge-store needs: vector storage and metadata for traceability and access control, with vector DB options noted (Pinecone/Weaviate), plus embedding APIs and search endpoints.
DELIVER STATE
CUSTOMER FEEDBACK
Report Quality Improved via V10 Evaluation Pipeline
Sprint reviews documented report-quality gains in “Report V10,” driven by a new evaluation + score aggregation system. The team hardened the pipeline with a model-specific “prime” step and improved preparation for client-ready delivery.
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We have delivered products for startups from Anchorage to New York.
Lana Ashby Rowder
LookingGlass
April 2, 2026
Thank you so much for this note and for all the work your team put into this project. It truly was such a great experience working together.
We are really happy with how the prototype turned out and especially grateful for the extra backend improvements your team made. Having a more stable and scalable foundation is huge for us as we head into launch, and it did not go unnoticed.
Thank you again for being such a thoughtful and proactive partner throughout this process. We are really excited about what is ahead.
Grateful, Lana
April 2, 2026
Roy Roach
Legacy Link
November 18, 2025
They're showing me the dashboards and they're like, you didn't ask us to do this, but we hope you like it. And I'm watching like, Holy smokes, this is even better than what I thought.
November 18, 2025
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