Before any AI runs, Sturdy builds a clean understanding of every account.
ML-driven deduplication orchestrates accounts and contacts across CRM, email, transcripts, tickets, and chat into a single canonical record.
Sturdy solves the three problems every enterprise AI deployment faces - and most platforms ignore - entity identity across systems, high-fidelity semantic retrieval, and access control enforced at the data layer, not buried in application code.
MIT studied 300 enterprise AI projects. 95% delivered zero measurable return. The model wasn't the problem. The data layer underneath was. Here's what most teams hit, in the order they hit it.
"John Smith" is a different record in every system. Salesforce knows them as a Contact ID. Gmail sees john@acme.com. Zoom logs "John S" with no verified email. Slack has a handle. Without a canonical link, every query either picks one source of truth or silently misses correlated signals.
Dumping context windows full of email doesn't scale. A naive RAG pipeline retrieves chunks ranked by cosine similarity, blows token budgets on signature lines and CC duplicates, and still lands the wrong passage when the query uses a different vocabulary than the source. Question-to-answer consistency tanks at scale.
Security as scattered if statements is fragile. Application-layer permission checks are one missed branch away from leaking data — and adversarial prompt injection routes around them entirely. Permissions must be enforced below the application, on the data itself.
Sturdy ingests every silo, resolves entities into a canonical graph, pre-classifies content into retrievable units, and exposes hybrid search with permissions enforced at query time. Every stage consumes the same normalized stream — no application code reaches around the rails.
Not a chatbot guessing from a fine-tune. Real account intelligence, drawn from every email, ticket, call, and CRM record - surfaced in seconds.

ML-driven deduplication orchestrates accounts and contacts across CRM, email, transcripts, tickets, and chat into a single canonical record.
CRM, support, email, chat, calls — unified into a single customer entity model. Accounts resolved. Contacts mapped. Language attributed. A clean foundation AI can actually reason over.

Accurate, attributable account intelligence — grounded in what customers actually said. Risks, opportunities, and relationship signals surface early, across your entire book of business.

CS, Sales, Renewals, Product, and Leadership each get the slice of account intelligence relevant to their job — in the tools they already use. What a customer said becomes what a team does.

Account reviews, QBR summaries, risk signals, and role-based updates — all in plain language, from the moment you connect your systems. No SQL. No dashboards. No data team.
Plug any LLM into Sturdy's normalized customer data via API and build the account intelligence tools your business actually needs — instead of renting ones built for someone else.






Connect what customers say to why your numbers move. Contextual revenue intelligence, ready for any LLM — or running natively in Ask Sturdy from day one.
Sturdy gives every user a dedicated interface to inspect the data flowing in and out of the models in real time. You can see which customer conversations, records, and signals are being used to generate each piece of intelligence — and trace every insight back to its original source.
