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.
95% of enterprise AI deployments deliver zero measurable return. MIT studied 300 of them to find out why. The answer wasn't the model. It was the data.

Before AI can do anything useful, someone has to untangle years of messy CRM data, map contacts across systems, classify unstructured information, identify relationships, and unify all of this with metadata. Most teams never get off the ground. It's not a lack of ambition — it's a lack of infrastructure.
Your customer data lives in six systems that don't agree on anything. Salesforce says "Acme Inc," Gmail says "john@acme.com," Zoom says "John's Meeting." Before the LLM sees a single token, someone has to build entity resolution, dedup pipelines, and a canonical data model across all of it. That's not a sprint — that's a team.
You got the data connected. Now what goes in the prompt? Dump a full inbox into context and you'll blow your token budget and tank accuracy. Build your own RAG and you're maintaining vector indices, chunking strategies, and retrieval ranking — for data that changes every time someone sends an email. The 80% of the work isn't the AI. It's the data engineering to feed it.
Without persistent, structured associations, the LLM rediscovers every relationship from scratch on every query. "Is john@acme.com a decision-maker or a support alias?" It figures that out, you pay for it, and then it forgets. Next prompt, same tokens, same cost, same probabilistic guess. Nothing compounds. Nothing is canonical.
Build a complete understanding of your customers, before, during and after running AI. Connect your systems in days — so your team can get straight to AI-powered account intelligence that actually knows who your customers are, who works for them, and what they've said.


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.
