Graphable

Graphable helps organizations turn complex, fragmented data into connected intelligence — and a strategic advantage. We provide analytics, data engineering, applied data science, custom development, and AI consulting across the full data stack. Our teams design and build everything from modern data foundations and custom pipelines to advanced analytics environments and AI-ready systems. Whatever shape your data problem takes, we deliver context, relationships, and reliable infrastructure that helps you make better decisions, build smarter automation, and get more from AI. Where we go further: we specialize in graph databases, knowledge graphs, semantic search, and graph-powered AI — the connective tissue that modern AI demands. When your data has relationships that rows and columns can't capture, we build the systems that can. Graphable is recognized for ethical execution, clear communication, and reliable delivery. We've completed hundreds of projects across financial services, life sciences, security and intelligence, high tech, manufacturing, transportation, media, telecommunications, and government — consistently in environments where the data is complex and the business impact is high. Whether you're modernizing your data stack, improving analytics, launching semantic search, building AI applications, integrating disparate systems, or developing custom data products, Graphable brings the technical expertise and practical execution to get it done. We connect the dots across your data, systems, and decisions.

Website

http://www.graphable.ai

External link for Graphable

Industry

IT Services and IT Consulting

Company size

11-50 employees

Headquarters

Boston, MA

Type

Privately Held

Founded

2018

Specialties

Databricks, Domo, PowerBI, Tableau, Qlik, Hume, Neo4j, Graph Database, Data Science, Graph Data Science, LLMs, Websites, AppDev, Data Engineering, Training, UX/UI Design, Knowledge Graphs, ML/NLP, Advanced Analytics, BI, Data Strategy, AppDev, Graph Analytics, Generative AI, Graph RAG, Retrieval-Augmented Generation, Semantic Search, Context-Aware AI, Connected Data, Enterprise AI, Data Governance, Data Lineage, Data Quality, Data Architecture, Data Integration, Cloud Data Platform, Snowflake,, AWS, Azure, Google Cloud, Data Monetization, Data Products, Decision Intelligence, Customer 360, Entity Resolution, Fraud Detection, Recommendation Engines, Master Data Management, Ontology, Semantic Layer, and Data Modernization