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Title
Logically forecasts narrative risk for government and enterprise with a conversational AI agent on Databricks
…emo Login Contact Us Try Databricks Customer Stories / Logically CUSTOMER STORY Forecasting Narrative Risk for Government and Enterprise 10M+ Social media messages processed daily for threat detection ~2 weeks To bui…
Description
Threat intelligence company Logically built a conversational AI agent using Databricks Agent Bricks Custom Agents, AI Search, Delta Lake and LangGraph to make narrative-risk intelligence accessible to non-technical users, processing over 10 million social media messages daily and going from concept to production-ready agent in under two weeks.
…re compounded by data volume and processing limitations: The platform needed to process more than 10 million social media messages per day, totaling several terabytes per ETL run. But their proprietary solution built o…
Company
Logically
…ion of digital information brings both opportunity and risk. With this in mind, Logically provides narrative intelligence and predictive insight to help clients understand, anticipate and act on emerging information risks — from coordinated influence to reputational threats. Yet, Logically wanted to…
Industry
Cybersecurity
…growing demands for accessible narrative intelligence. Share this post Details Industry : Cybersecurity Use Case : Analytics and Business Intelligence , Application Development , Arti…
Problem
Analysts became bottlenecks managing requests from non-technical teams; the platform needed to process more than 10 million social media messages a day but its Elasticsearch-based solution was expensive, slow and difficult to scale, and ingestion, storage, retrieval and AI execution lived in separate environments requiring fragile manual connectors.
…ers lacked the technical expertise to extract important insights independently. Analysts became bottlenecks for many of their clients, managing requests from non-technical teams and slowing the delivery of needed materials. These barriers were compounded by data volume and processing limitations: The p…
Solution
Logically adopted the Databricks Data + AI Platform, using Lakeflow Jobs to automate ETL orchestration, Delta Lake as the foundation with materialized views for instant insights, Agent Bricks Custom Agents for multi-step reasoning agentic AI, AI Search for semantic search, Google Gemini for reasoning, LangGraph to manage agent reasoning loops and tool orchestration, MLflow for the ML lifecycle, Model Serving via AI Gateway for inference, and Unity Catalog for fine-grained governance.
…AI agent In an effort to address these operational and accessibility barriers, Logically adopted the Databricks Data + AI Platform to create a unified environment for data ingestion, storage, governance and AI development. To embolden non-technical users with natural language querying and AI-curated i…
Business value
Logically expanded its narrative-intelligence platform from technical OSINT analysts to non-technical users such as policy advisors and communications teams, built the initial AI agent in under two weeks (down from at least one and a half months) and completed full production integration in about a month, while reducing the agent's query latency with pre-computed materialized views.
…10 million social media posts daily, aka several terabytes of data per ETL run. The team built the initial AI agent in under two weeks — down from at least one and a half months — and completed full integration in about a month, accelerating time to market for new critical AI features. Performance improved…
AI capabilities
Agentic AI, Conversational AI, Natural Language Processing, Retrieval-Augmented Generation
…time. This optimization provided the speed and efficiency needed to support the Agent Bricks Custom Agents, a fully integrated environment for building, orchestrating and deploying agentic AI capable of multi-step reasoning, dynamic tool use and contextual memory. Adopting AI Search, the conversational agent performed semantic search — ident…
Technology
Databricks Data + AI Platform, Lakeflow Jobs, Delta Lake, Agent Bricks, AI Search, Google Gemini, LangGraph, MLflow, Model Serving, Unity Catalog
…ct user questions and continuously learned based on feedback and evolving data. LangGraph then managed the agent’s reasoning loops and tool orchestration, breaking complex user requests into structured steps, retrieving the right dat…
Headline outcome
…and Enterprise 10M+ Social media messages processed daily for threat detection ~2 weeks To build the conversational AI agent from concept to prototype with Databricks ~1 month To scale, secure and embed the conversational AI agent into Logically’…
Use case type
Conversational assistant
…y and Google Gemini’s reasoning capabilities with Databricks’ unified platform, Logically created a conversational chatbot that answered direct user questions and continuously learned based on feedback and evolving data. LangGraph then managed the agent’s reasoning loops and tool orchestration, bre…
