DataChi launches in Luxembourg: an AI agent platform for B2B sales teams
DataChi is now generally available. Six specialised AI teammates for prospecting, follow-ups, meeting prep, call summaries, and CRM updates — built on European architecture for B2B sales teams across the EU and beyond.
Rai Chadee
Today is launch day. DataChi — an AI Virtual Team Mate (VTM) platform built in Luxembourg for B2B sales teams — is generally available.
The product runs underneath the sales stack you already have. CRM stays the source of truth. Reps stay on calls. The agents handle the operational tier that’s been quietly eating into selling time at every sales org we’ve worked with: prospect research, follow-ups, meeting prep, call summaries, CRM hygiene, pipeline intelligence.
Six specialised teammates ship with the platform on day one. Adam runs the daily leadership brief and surfaces the deals that need a sales leader’s attention before standup. Jenny works the pipeline itself — stalled deals get flagged with the cause, not just the symptom, and re-engagement notes hit the AE before the deal goes dark. Dan keeps the operations layer current: CRM hygiene, workflow normalisation, the routing rules nobody wants to think about. Tania manages the touchpoints between calls and writes them in the rep’s tone. Sofie produces the weekly leadership brief that leadership actually reads. And Customer Support sits alongside the sales agents as a first responder for teams whose CX volume justifies it.
None of them are general-purpose. Each absorbs a specific tier of work. The aim isn’t to replace a person; it’s to absorb the work that shouldn’t have been a person’s job in the first place.
Why Luxembourg matters
The Luxembourg part isn’t an address on the about page. It’s a regulatory environment. GDPR and digital sovereignty aren’t a marketing line for us — they’re the rules we operate inside. Customer data sits in EU regions by default. The current region is visible inside the workspace. DPAs are signed before deployment, not after the first audit asks. Inference vendors are listed openly on the Trust & Security page.
That choice was made early, and it shaped what we could build. For sales teams in regulated sectors — financial services, healthcare, public sector, legal — it’s the part that decides whether an AI sales vendor can be deployed at all.
Who it’s for
Sales teams of roughly five to fifty reps, B2B, where the admin layer around every conversation has started to eat the week. Founders running their own outbound see the value first. Sales leaders trying to add capacity without doubling headcount fit the model too. And we’ve seen meaningful uptake in service businesses where every qualifying conversation matters more than raw call volume.
The principle behind the company:
AI should not replace sales teams, but help them focus on what truly creates value. By automating certain operational tasks, we aim to give teams back the time they need to focus on customer relationships, sales strategy, and decision-making.
— Rai Chadee, Founder, DataChi
Getting started
DataChi is in market now. The fastest way to see whether it fits is a 20-minute walkthrough against your stack and your data. The team will show you which workflow to put a VTM underneath first and what the first week of running it looks like for your reps.