ex-founders + ex-Meta engineers

not the demo

We build production AI assistants and agents for growing companies, and keep them running.

why memloop

Somewhere in your company, smart people are copying numbers between tabs, reading the 400th CV and answering the same question on five channels. That's the work we hand to agents. Your people get their week back.

what ships

proof

Before → after.

Four builds, one number each.Sample clients and numbers

FintechFintech client01 / 04

Payments matched to invoices.

Before3 daysto close each month's books
After94%of payments matched with no one touching them

An agent that reads every incoming payment, finds the invoice it pays and books it, so finance stops matching by hand.

Read the case
RecruitmentRecruitment client02 / 04

Shortlists in hours, not weeks.

Before11 daysfrom posting to shortlist
After4 hfrom posting to a ranked shortlist

An assistant that reads every application against the role, ranks them with reasons, and hands recruiters a shortlist they trust.

Read the case
Customer supportSupport client03 / 04

Every channel, one conversation.

Before5 inboxesand customers repeating themselves
After62%of questions resolved without a human

Email, chat, WhatsApp and phone in one thread per customer, with an assistant that answers what it can and hands the rest over with context.

Read the case
Agent infrastructureAI product client04 / 04

A safe place for agents to run code.

Before0agents allowed near real systems
After10ksandboxed agent runs a day

Isolated sandboxes where AI agents can run code, browse and use tools, started in milliseconds and thrown away after.

Read the case

what we build

Agents first.
Everything they need, too.

Assistants & agents

Agents that read, decide and act inside your tools, with the guardrails, evals and monitoring to trust them in production.

01

The product around it

Interfaces, APIs, data pipelines and integrations. An agent is only as good as what it can reach.

02

DevOps & infrastructure

Cloud, CI/CD, sandboxes, observability and cost control, so it stays up and stays cheap.

03
the easy first step

AI opportunity audit.

In two weeks we find where agents would pay off in your business, size each one, and hand you a build plan you can take to anyone. Including us.

  • Interviews with the people doing the work
  • Ranked opportunities with cost and payback
  • A working prototype of the best one
  • A fixed-price plan to build it
Fixed price€4,900Credited against the build if you go aheadTalk about an audit

Then, if you build

Pilot agent€15k–30k4–6 weeks

One workflow, live with real users.

Production system€40k–120k2–4 months

Several agents, integrations, monitoring.

Ongoing team€8k–20k / monthmonthly

We run, measure and extend it.

fit check

Are we a fit?

Three questions. Good fits go straight to the calendar.

1/3What should AI take on?

the course

Make the whole company good at AI.

One programme, three tracks. Your leaders pick the right projects, operators hand off the busywork, engineers ship agents.

Track 01LeadersWhere AI pays off, and how to fund it.
Track 02OperatorsHand repetitive work to AI, safely.
Track 03EngineersBuild, evaluate and ship agents.

Got work that eats your week?

Book a 20-minute call

No deck. We'll tell you if AI is worth it here, and what it would take.

Book a 20-minute call