Most sales teams don't have an account-data problem.

Most sales teams don't have an account-data problem.

They have an account-context problem.

Hubspot might contain 40 calls, 12 emails, a few notes and several manually logged LinkedIn conversations for an account.

Buried somewhere inside them could be the only details that matter. For Everstage, those are:

1. They use spreadsheets for commissions
2. They signed a multi-year deal with a competitor
3. They built something internally
4. Finance/ Revops owns the process
6. Their current setup is creating disputes
7. The decision maker hasn't been reached.

That information exists, but a BDR working 100 accounts cannot remember the full history every time they need to decide what to do next.

I tried using TypeSafe AI's Jev for this.

We define the pieces of context we care about and let the model classify the account using all the activity available to us.

Jev reads the available activity and returns a simple Yes/No or classification for each one.

The useful part isn't the classification itself.

It is what you can trigger once that context becomes structured data.

- If the competitor is known, surface the relevant battlecard.

- If renewal timing is known, schedule the right follow-up.

- If the decision maker hasn't been reached, help the rep multi-thread.

A lot of useful GTM context already exists inside our systems.

We just haven't made it queryable yet.