01 · The Arm
We build the search and data pipeline for your market.
We help small and medium-sized businesses and startups put AI into their go-to-market motion and their revenue operations.
That means finding the right people and companies for your profile, making your stack work, and deciding where AI belongs in how you sell.
02 · The record
Strategy decks do not move the number. Systems do.
DataGrid operates in highly regulated and competitive markets where a strategy deck changes nothing and only a working system moves the number.
- 20+Hours saved per team, per week, through workflow automation
- 10+Startups whose pipeline data we have sourced
- 7%Better contact ratio across channels
- 7Markets with cascades already built
- 90+Agent workflows running on Go2Market
03 · The Pipeline
We do not sell a database everyone else already has.
Our bet is the opposite of a shared index. We do not point every client at one giant contact database and a standard filter panel.
For each customer we design a cascade: a sequence of sources and queries. Different profiles need different sequences. The magic is not more search. It’s the right search, in the right order.
Then we structure, clean, and post-process the output so it is ready to use in your CRM or in custom software.
The quality of a pipeline shows up in fit: who it finds, why they matter, and whether your team can act on them.
04 · Who this is for
You cannot buy enterprise ChatGPT and hope.
Datagrid is for small and medium-sized businesses and startups that need AI in go-to-market and revenue operations. Most companies we work with arrive with some mix of these:
- A CRM that turns pipeline into guesswork
- Apollo or Clay producing lists that look like everyone else’s
- A niche the general catalogs barely cover
- Someone running sales out of a chat window
That last one can work for one person. It breaks the minute you turn it into a company process.
You want accounts your competitors have not already blasted, data your team can trust, a stack that matches how you sell, and AI that runs like an operation instead of a side project.
05 · The offer
Three depths of the same job.
BITS is our way of moving from the list, to the system, to the sales motion around it.
- IntelligenceWho should you be talking to, and can we get a record that is fresh, accurate, and actually about this market?
- ToolingWhich tools should carry that work, how should the data be shaped inside them, and do you run it on your stack or on our platform?
- StrategyLooking at the whole motion, where does AI help, where does a model get in the way, and what would make this company sound like itself?
Start with the audit. We map the stack, the data, and the sales motion. From there, you can choose pipeline work, tooling, or the larger strategy engagement.
06 · The alternative
A chat window is a poor way to run go-to-market.
A chat agent can help one person think. It cannot run go-to-market for a company.
ChatGPT and Claude are built for individual work. Claude Code gets closer to an agent on your machine, but it still centers the work around one person. They are useful but are a poor way to run go-to-market across a company.
You need control over the work: the sources, the prompts, the sequence, and the judgment calls. That is how we shape output around your market instead of giving you the same answer every other team gets.
When every team starts from the same agent, the work starts to converge: the same messaging, the same lists, the same ICP language, the same positioning.
We design the pipeline with taste and experience: sources chosen for your market, judgment built into the sequence, and output that sounds like your company.
07 · Datagrid
What we are, what we are not.
- A search and data-pipeline partner, customized per customer
- The owner of a contact index everyone queries
- A team that has written paths for different profiles and niches
- A standard filter panel with a published filter count
- Coverage for markets the general catalogs miss
- A wrapper around Sales Navigator
- Ready-to-market data in your CRM or custom software
- A search that dumps a raw file into Salesforce
- Stack advice: use what you have, add what the niche requires
- A productized integration logo wall
- Taste, experience, and pipelines you can inspect
- An out-of-the-box agent you cannot see inside
- Bounded, contract-driven workflows where precision matters
- “More AI” as the pitch
We start with an audit. It tells you where the gaps are, and whether the AI you already use can survive as a company process.
08 · What we build
Data is one part. The system around it is the rest.
Sourcing finds the right people. Workflows, automations and the judgment about where AI belongs are what turn that into something a company can run.
