Enrich and classify incoming sales leads with AI

When a new lead is created in re:catch, pass their submitted notes to DeepSeek to automatically extract key buying signals and categorize their industry.

Try:

See all re:catch + DeepSeek integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

re:catch Explore re:catch →

Triggers

New lead created

Fires when a new lead or contact is created in re:catch.

Deal stage changed

Fires when a deal moves to a new stage in re:catch.

Deal won

Fires when a deal is marked won in re:catch.

Contact updated

Fires when a field on a contact changes in re:catch.

Actions

Create or update contact

Creates or updates a contact in re:catch.

Create deal

Creates a new deal in re:catch.

Update deal stage

Moves a deal to a new stage in re:catch.

Log activity

Logs a call, email, or note against a record in re:catch.

DeepSeek Explore DeepSeek →

Triggers

New completion generated

Fires when DeepSeek generates a response to a prompt.

Model run failed

Fires when a request to DeepSeek errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in DeepSeek finishes.

Actions

Generate a completion

Sends a prompt to DeepSeek and returns the model's response.

Summarize text

Uses DeepSeek to summarize a block of text.

Classify or extract data

Uses DeepSeek to classify or extract structured data from text.

Save AI account executive summaries directly to CRM deals When DeepSeek generates an executive intelligence summary for a strategic account, log the summary directly onto the deal record in re:catch. See details

Summarize customer interaction logs on updated contact profiles Whenever a contact's activity history is updated in re:catch, ask DeepSeek to digest the recent interactions into a brief executive overview. See details

See all re:catch + DeepSeek integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Enrich and classify incoming sales leads with AI” between re:catch and DeepSeek?

Yes — describe it in the box above and Knit's Integrations Agent researches re:catch and DeepSeek's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

What's the most common AI Models + CRM automation?

Summarizing a deal or account's recent activity from re:catch using DeepSeek, or drafting a personalized follow-up email based on the contact's real history.

Can this write the AI's output back into the CRM record?

Yes — a summary, draft email, or score generated by DeepSeek can be written straight back onto the relevant field or note in re:catch.