41
Agents in production since 2021
Agents built to order · Hosted in Europe Independent studio · Paris
AI agent studio for enterprises
Automate without friction.
We design, ship and supervise AI agents wired into the tools your teams already use. Scored on results, not on demos.
- Free 45-minute diagnostic
- First agent in four weeks
- GDPR, data stays in Europe
01 The studio, agents rather than slides
12
Business connectors available
6
Sectors covered, industry to retail
34
Processes fully automated
71
Hours returned monthly per team
Agents that are evaluated, supervised and documented GDPR · AI Act · Hosted in Europe
- GDPR
- AI ACT
- SSO SAML
- API-FIRST
- EU HOSTED
4 Weeks to a first live agent
12 Business connectors available
100 Percent of answers traceable
90 Days of supervision included
Our use
cases.
Three families of agent already running in production. Same technical base, same traceability guarantees, three different jobs.
Agent Support Tickets · 24/7
Agent Revenue CRM · Prospecting
Agent Ops Back office · Documents
Every case See the portfolio → - 01
Conversational agents
Internal and customer-facing assistants that answer, qualify, and escalate to the right place.
- 02
Retrieval and knowledge bases
Your documents made answerable, with citations and the access rights people already have.
- 03
Process automation
Agents that execute: extraction, checks, follow-ups, and writes back into your systems.
- 04
Integrations and connectors
CRM, ERP, ticketing, messaging, and warehouse, wired through APIs and single sign-on.
- 05
Evaluation and observability
Business test sets, answer scoring, and a replayable trace behind every decision.
- 06
Governance and compliance
GDPR and AI Act scoping, retention windows, and hosting inside the European Union.
02
Built around your teams.
We start from the job, never from the technology. Every agent inherits the same base of security, tests and traceability.
Answer without the queue.
Triage, first reply, and escalation inside your existing tools and your own tone of voice.
Qualify more, lose less.
Lead enrichment, call summaries, follow-ups, and a CRM that updates itself.
Recover the invisible hours.
Document reading, controls, data entry, and reports produced without anyone retyping them.
Five steps
to production.
A useful agent is not a prompt. It is a clear boundary, clean data, a test set, and supervision that does not stop at launch.
- Step 01 01
We pick a measurable process, not a topic.
One workshop to fix the boundary, the expected value, and the number that decides success.
- Step 02 02
We prepare and secure the knowledge sources.
Collection, cleanup, access rights, and European hosting settled before anything goes live.
- Step 03 03
A testable agent in two weeks, on your real cases.
A narrow scope, wired to your tools, scored against a test set your team wrote with us.
- Step 04 04
Production inside your tools, with guardrails.
Single sign-on, full logging, human escalation, and explicit limits on every write.
- Step 05 05
We measure, correct, and extend it monthly.
An answer dashboard, a monthly review, and iterations on the cases nobody anticipated.
- See the offers neuro.com
Ready to
start?- Free 45-minute diagnostic
- First agent in four weeks
- Data hosted in Europe
- Ninety days of supervision
Client
voices.
What the teams using our agents every day say, once the launch noise has died down.
Claire Whitfield Head of customer service, Manchester
The agent handles half of our tier one tickets, and the team keeps control of everything else.Agent Support / Retail
Daniel Oyelaran Sales director, Dublin
Call notes and CRM updates happen on their own now. We got our Tuesdays back.Agent Revenue / SaaS
Priya Raman Head of people, London
Application screening is finally consistent, and every decision is written down in plain language.Agent Talent / Services
Mark de Vries Operations director, Rotterdam
Invoices read and checked with no manual entry. The retyping error simply stopped happening.Agent Ops / Industry
Hanna Lindqvist CTO, Stockholm
A team that talks about integration, tests, and logging. That is a change from the usual demo.Agent Support / Fintech
2.4M
Requests handled by agents in production
94%
Answers accepted by the business team
128
Business test sets written with clients
18k
Hours of manual work returned to teams
0.8s
Median response time in production
9
Models evaluated before each launch
100%
Decisions logged and replayable
30
Days from scoping to first prototype
4wks
From scoping to a first agent in production
100%
Of answers traceable back to their source
Our
offers.
Three engagement formats on one technical base. Every engagement opens with scoping and closes with an agent in production.
Diagnostic Two weeks
4,900 EUR
A short audit that finds the processes where an agent creates real value, and the ones where it does not.
- Business workshops and process mapping
- Three use cases, ranked
- Technical feasibility study
- Quantified estimate of the gain
- Six-month roadmap
Slots open, start within two weeks
Start with diagnostic First agent Four to six weeks
18,900 EUR
One agent designed, integrated, and shipped on a single process, with its test set and its supervision.
- Scoping and a business test set
- Knowledge base and retrieval
- CRM, ticketing, and SSO integration
- Full logging and human escalation
- Ninety days of supervision
Most requested format, two slots in April
Start with first agent Embedded studio From three months
9,500 EUR / month
A Neuro team working alongside yours to build and operate a whole portfolio of agents.
- Dedicated product and engineering pair
- New agents on a rolling basis
- Observability and monthly reviews
- Training for your own team
- On-call and fixes included
By application, two clients per quarter
Start with embedded studio
Direct
answers.
How long before a first agent is in production?
Two weeks of scoping, then four to six weeks of build. The first agent covers a deliberately narrow scope so it stays measurable and quick to correct.
Where is our data hosted?
In Europe, with GDPR-compliant providers. Your documents are never used to train a public model, and retention windows are agreed with you during scoping.
Do we need a data or AI team already?
No. Most of our clients start with no in-house AI capability. We build the agent, document how it works, and train the people who will run it.
Which models do you use?
Whichever ones pass your tests. We evaluate several models, proprietary and open source, against your real cases, and stay free to switch without rewriting the agent.
How do you measure that an agent works?
With a business test set written alongside your team, answer scoring in production, and two or three usage indicators fixed during scoping. No numbers, no launch.
What happens when the agent gets it wrong?
Every agent has explicit limits, a human escalation path, and complete logging. A decision can be replayed, the source it used identified, and the rule or document behind it corrected.
Do you work with smaller companies?
Yes, as soon as a repetitive, documented process can be identified. The diagnostic exists precisely to check that an agent is the right answer before any longer commitment.
The scope of an agent: why starting small saves months
Cutting one process down to a single measurable decision is the cheapest way to find out whether an agent is the right answer at all.
Write the business test set before the first line of prompt
How to turn the real cases your team handles every day into pass or fail criteria that survive a model change.
GDPR and the AI Act: what to decide before connecting your data
Legal bases, retention windows and audit trails, in plain language. These are cheaper to settle before a system touches real records.
Wiring an agent into a CRM without breaking the process
Access scopes, reversible writes and guardrails on the actions that touch a customer record.
Describe the process that costs your team the most time. We come back with a first read and an order of magnitude.