Step into your AI era.
Governed agentic AI systems for business processes, from strategy to operations.
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Who we are
We build AI systems that can do work, not just answer.
01
Agentic systems
Autonomous agents for real business work.
02
Governance & FinOps
Costs, access and compliance under control.
03
AI security
The agent is secured before it starts to act.
04
Training
Training that moves teams into daily practice.
05
Analysis
In-depth research and custom OSINT.
We are not a licence reseller or a prompt agency. We deliver working systems, including governance and staff training. Only what your company actually needs goes into the project, which is why every engagement starts with a workshop.
Starting point
Today, AI is used by individuals, not the company.
Public chatbots in the hands of capable people are a good first step. The knowledge stays with one person, though, and company data remains out of reach. Moving to the company level means connecting AI to the processes, data and rules of the whole organisation.
Unshared benefit
Results don't transfer between departments.
No oversight
Nobody knows what data leaves the company or what AI costs.
Zero automation
AI advises, but doesn't execute a step in any system.
Our approach
From assistant to agent in three stages.
Stage 01
Company assistant
One secure environment for everyone instead of public chatbots. Usage and cost overview from day one. Deployed within weeks.
Stage 02
Company knowledge
Policies, contracts, product range, processes and system data in one place. Answers with a link to the source.
Stage 03
Agentic work
The agent prepares the groundwork, executes a step in a system and hands the result to a person for approval.
The stages follow one another and each has its own deliverable. You can stop at any point and lose nothing.
Flagship product
EA Brain
An AI enterprise architect. It turns conversation into documentation and diagrams, maintains a living knowledge graph of the company and tracks compliance with DORA, NIS2, GDPR and the AI Act.
- Processes and systems documented once and kept up to date
- A knowledge base that agents draw on
- Output quality control and an audit trail
Governance & FinOps
Governance, FinOps and security from day one.
One gateway for all models
Access, logging and limits in one place instead of dozens of private accounts.
Costs by department
Visible AI spend per unit and company-wide, with budgets and caps.
Data and GDPR
Rules for which data may enter a model, and verifiable records of how it was used.
Control before action
Testing and approval of agents before they get access to systems.
AI security
Secure your agents before they act.
An agent with access to company systems is a new type of user. It has permissions that need to be clearly defined and guarded.
AI Security Assessment
A review of deployed and planned AI systems: who has what access, where data flows, where the weak points are. The deliverable is a concrete remediation plan.
DevSecOps for AI development
Security guardrails directly in the development process: credential isolation, agent testing before deployment, continuous checks in operation.
AI Act
The AI Act: a calendar, not a threat.
Most companies use AI rather than build models, so only a smaller part of the obligations applies to them.
Employee AI literacy
Verifiable training for everyone who uses AI at work, including management.
Overview of usage
Knowing where AI is used across the company and distinguishing ordinary use from high-risk use.
Prohibited uses
For example, evaluating employees' emotions or scoring people. No exceptions.
Transparency towards people
Customers and employees must know they are communicating with AI. Generated content is labelled.
We handle compliance together with the deployment, not as a separate project.
People & adoption
Technology without adoption changes nothing.
Leadership
How to decide on AI investments, what to demand from vendors and how to measure the benefit.
Key users
Internal ambassadors in every unit who move their own tasks to AI and teach their colleagues.
The whole company
Short practical training and clear rules on what is and isn't allowed. This also fulfils the AI literacy obligation.
References
Where it already runs.
IN PRODUCTION
Precision industrial manufacturing
AI turns a customer's request directly into the control program of a production machine.
IN PRODUCTION
Agents in administration
They handle routine agenda by phone, e-mail and voice, with precisely defined permissions.
IN PRODUCTION
EA Brain in a regulated institution
Enterprise architecture and documentation that maintains itself and stands up to an audit.
DEPLOYMENT IN PROGRESS
A group of companies with its own distribution
One AI gateway and role-based training across several companies.
We don't name our clients without their consent, and we will protect you the same way.
How we work together
The engagement in four phases.
Phase 01
Pilot
One process in real operation with a success criterion agreed in advance.
Phase 02
Rollout
Expansion into further departments together with the governance layer and training.
Phase 03
Operations
Oversight of the agents and transfer of competence to your team.
Phase 04
Continuous improvement
Measuring the benefit, tuning the agents and adding further processes.
We start with a small pilot and a clearly agreed success criterion. Nobody buys a big project blind.
Founders
The people behind Neurera.
We founded Neurera to help companies adopt AI safely and with a real, measurable benefit. We build on experience from enterprise architecture, security and hands-on AI deployments.
Contact
Your AI era doesn't start with technology.
It starts with your decision to open the door.
Write to us at info@neurera.ai