AI That Understands Your Business, Not Just Your Documents
Traditional RAG just retrieves text chunks. Our proprietry Graph ML technolgoy understands the relationships between your data—delivering answers that are accurate, contextual, and fully verifiable.
See the DifferenceWhy Most Enterprise AI Fails
Vector search (RAG) guesses based on keywords. It doesn't know that "Customer A" owns "Product B" or that "Policy C" overrides "Rule D." This leads to:
Missing Context
Retrieves isolated paragraphs without understanding the broader business rules or relationships.
Confident Hallucinations
When context is missing, LLMs make things up to fill the gaps—creating liability for your business.
Black Box Answers
Impossible to audit why an AI gave a specific answer or which document relationship led to it.
Our Graph ML Advantage
We build a structured Knowledge Graph of your business. Your AI navigates this map to find the truth, just like your best employee would.
Reasoning, Not Guessing
The AI follows the graph paths to deduce answers. "Since Acme Corp has a Gold SLA, they get 24/7 support."
Full Traceability
Every answer comes with a citation trail. See exactly which entities and relationships were used.
Data Unification
Connects structured data (SQL) with unstructured data (PDFs) into a single source of truth.
Same Question, Different Results
Traditional AI Response
"Based on the documents I found, customer retention might be related to support response times. I recommend reviewing your support processes."
Generic answer, no specific data, no actionable insights
Graph ML Response
"I analyzed your CRM graph: 40% of customers who churned in Q3 had support tickets that took over 4 hours to resolve. These customers were also 3x less likely to use premium features. Your action plan: 1) Reduce support response time to under 2 hours for premium customers, 2) Proactive feature onboarding for at-risk accounts. Estimated impact: $127K annual savings."
Specific, data-driven, actionable with quantified impact
Zero-Copy Integration
We map your existing data where it lives. No need for complex migrations or new data silos.
CRM Systems
Maps customer relationships, purchase history, and engagement patterns
Databases
Connects structured data from SQL, NoSQL, and data warehouses
Documents
Extracts entities and relationships from PDFs, Word docs, and knowledge bases
See Our Graph ML Tech in Action
Get a custom demo showing how it understands your specific business relationships.
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