Web development

Flux

Flux
Client Israel based BigData Analytic and development company
Industry Data & Analytics / Knowledge Intelligence Platforms
Service Data analytics, Web & SaaS applications, DevOps, Artificial Intelligence, UI/UX Design, Blockchain
Technologies Python, FastAPI, PostgreSQL, Redis, Celery, RabbitMQ, OpenMetadata, Networkx, microservices, TypeScript, React, Next.js, Tailwind, shadcn, websocket, dedup, BM25, LlamaIndex, OpenAI, ParadeDB
About Flux is an intelligent search and knowledge exploration platform for deep, contextual research via a chat-based web interface. It aggregates, normalizes, and enriches data from heterogeneous sources into a unified, structured knowledge view, significantly reducing analysis time and enabling faster, insight-driven decisions. Technically, Flux uses source-agnostic RAG pipelines, shared taxonomies, and entity disambiguation to consolidate information across domains. Graph-based knowledge modeling visualizes relationships between entities, enabling discovery of hidden connections through conversational search, structured views, and interactive graphs.

OUR Process

Discovery & Research
UX/UI Design
Development
Testing & QA
Deployment & Launch
Optimization & Support
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Client

The client is an Israel-based technology leader and one of the top global providers of advanced AI and data-driven solutions. Their portfolio spans artificial intelligence, data science, data analysis, and deep search technologies, delivered both as end-to-end platforms and as tailored, standalone services. The company supports complex use cases such as machine learning model development, large-scale data analysis, and custom AI training, serving a diverse customer base that includes international enterprises and leading governmental institutions worldwide.

Project goals

The goal of the Flux project is to enable fast, confident knowledge exploration by transforming aggregated data into a unified, navigable knowledge system. Flux aims to help users efficiently discover meaningful insights, relationships, and patterns through contextual search, structured representations, and interactive knowledge graphs—supporting informed decision-making across complex domains

Problem

Critical information is scattered across multiple disconnected sources and formats. This data is often unstructured and inconsistent, making it difficult and time-consuming to analyze using traditional search tools. As a result, users struggle to obtain a complete, reliable view needed for confident decision-making.

Solution

Flux unifies data from diverse sources into a single, structured knowledge system. By normalizing and enriching information through a shared glossary, taxonomy, and entity resolution, the platform creates consistent and reliable context. Using RAG pipelines and graph-based modeling, Flux reveals relationships between entities and enables deep, contextual research through a conversational interface – all within one seamless workflow.

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Key features

Chat-based conversational search interface.

Source-agnostic data ingestion via RAG pipelines.

Data normalization using shared glossary and taxonomy.

Entity resolution and disambiguation.
Graph-based knowledge modeling and visualization.

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As a result, Flux enables faster and more confident decision-making by providing comprehensive, structured, and trustworthy insights from previously fragmented data. The platform significantly improves investigative and advanced research workflows while offering clear visibility into hidden relationships, dependencies, and influence paths across complex information domains.