The data layer your AI needs to understand your prospects and customers.

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.

Critical Infrastructure for AI Enablement

Everyone wants AI on their customer data. Nobody wants to clean it up first.

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.

The Content Problem

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.

The Context Problem

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.

The Groundhog Day Problem

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.

Sturdy is the infrastructure that skips all of that.

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.

The Context Layer

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.

What the AI knows before you ask your first question
Account identity
Key contacts & roles
Relationship history
Engagement patterns
Sentiment over time
Risks & blockers
Expansion signals
Platform

Three layers. One contextual object.

01 — Consolidate

Ingest and normalize across every silo

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.

02 — Identify

AI that runs on a model it understands

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

03 — Act

Role-based intelligence, where teams work

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.

Built for Every Team

Start with no code on day one. Build anything when you're ready.

No-code, day one

Value before you write a line.

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.

Open data layer

Your LLM, apps, and data.

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.

Works with any LLM
Open AI
Anthropic Claude
Google Gemini
Mistral
Llama
Azure OpenAI
FUD-Free Zone

You should know exactly what your AI is doing with customer data. With Sturdy, you always do.

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.

Full Data Vsibility

See exactly what's going into the AI — and exactly what's coming out.

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.

Your customers are already telling you what's going to happen.

Connect what customers say to the reasons your numbers move. Contextual revenue intelligence, ready for any LLM — or running natively in Ask Sturdy from day one.

Get Started