CloseWeave

What we do · AI deployment

AI, put to workacross your systems.

Not just go-to-market, and not just for tech companies. We put AI to work wherever it moves the needle in your business, for teams from a lean SMB to a mid-market business to an enterprise, built LLM-agnostic and handed to you to own.

See it work

A running toolkit, not a claim.

These are examples: AI doing the account research, then drafting the outreach, sourced and reviewed. We build the same kind of working system for whatever your workflows need.

closeweave / research — acme-robotics.com analysing
COMPANYAcme Robotics — industrial automation, Series Bconfirmed
SCALE~$40M ARR · ~180 staff · HQ Bostonconfirmed
SIGNALNew VP Revenue hired three weeks agosignal
SIGNALHiring in Berlin and Paris — an EMEA pushsignal
PERSONAVP Operations owns the pain, not the budgetinferred
PERSONACFO is the economic buyer — margin, not featuresinferred
ANGLEFrame value against the EMEA expansion cost curveinferred
prompt-os / outreach
$
Subject: your EMEA push, and the margin math
 
Sarah — saw the Berlin and Paris roles go live.
Standing revenue up in two regions usually means
the cost curve outruns pipeline for two quarters.
That gap is exactly what we compress. Worth 20?

What makes it different

Built to do the work, and to be yours.

Not just go-to-market

Sales and outreach are the obvious place to start, but we deploy wherever the work is: operations, reporting, research, the founder's or the team's own workflows.

Built by an engineer who sells

Genuine software-engineering depth and enterprise commercial skill in one person, so the AI is built to do real work, not to impress a slide.

LLM-agnostic and yours to own

No lock-in to a single model or vendor. You keep the system, the prompts and the workflows, and your team can run and extend them.

Cross-vertical

Not a SaaS-only or tech-only method. Deployed with the same rigour whether you are in financial services, retail, manufacturing, professional services or anything else.

How we work

Three moves, then it is yours.

01

Find where it moves the needle

We map your workflows and find the places AI actually pays off, the hours lost to research, admin, reporting and prep, not the places it just looks impressive in a demo.

02

Build it, LLM-agnostic

We build against your systems and data, provider-agnostic so you are never locked to one model or vendor, with the epistemic and quality gates that keep it honest.

03

Deploy and hand it over

Installed so your team runs it, documented and owned, not a black box you rent. We build capability, never dependency.

Where would AI actually help you?

Tell us the work that eats your team's week, and we will tell you honestly where AI moves it and where it does not.

Talk about your systems