Executive team in an evening boardroom reviewing a connected-knowledge wall display
Enterprise AI for regulated industries

Sovereign enterprise AI you can verify, on infrastructure you control

NatusAI connects your documents, systems and decisions into AI that shows its sources. We start with one costly business question, measure the result, then scale on a platform you own.

faster customer responseTelecom operator
92%
complex banking queriesLarge European bank
3 days → <1 s
AI grid digital twin on standard ITGrid operator
Country-wide

Results from delivered projects, as reported by each client at project close.

Trusted by regulated European organisations

  • Telecommunications Customer service
  • Energy grid Grid management
  • Banking Fraud & compliance
The boardroom question

What boards ask about AI, and how we answer

Most organisations have run AI pilots. Far fewer can show a measured result, explain an answer or say where their data went. These are the four questions we hear in every first meeting.

  1. “Where is the return?”

    Pilots impress in demos and stall before production. Boards want a before-and-after number.

    Connected business knowledge

    Start with one costly question, and measure the change.

    Documents, transactions, assets and events are linked by their relationships and history, so questions that took days are answered while the decision is still open.

    70%higher productivity at a large European bank
    An executive presenting trend charts to a board (illustrative image)
  2. “Can we defend the answer?”

    Regulators, auditors and customers will ask why. A confident answer without a source is a liability.

    Evidence & human control

    Every answer has a source. Every action has an owner.

    Assistants answer from your approved documents and show where each answer came from. Exceptions and consequential steps go to a named person.

    An analyst reviewing an AI-suggested action and its sources on screen before approving it
  3. “Who controls our data?”

    Every new AI service is another place sensitive data can go, under someone else’s contract and jurisdiction.

    Ownership & sovereignty

    Your data, your models, your exit.

    AI runs in your data centre, a European sovereign cloud or both. You decide what leaves, which models are used and how you would move away, and we write it down before we build.

    A country-wide grid twin runs on standard IT, with no hardware programme.

    Two technology leaders at a glass wall, sketching which data stays inside the organisation’s boundary (illustrative image)
  4. “What happens to our people?”

    Teams need AI that removes repetitive work and keeps them accountable for the decisions that matter.

    People in charge

    AI takes the routine. People keep the judgement.

    Routine work is automated within agreed limits, complex cases are routed to the right person, and every team is trained before roll-out.

    A trainer beside an employee trying a new AI workspace on a laptop (illustrative image)
Measured, not promised

Measured results in telecom, energy and banking

Three regulated organisations, three measured results, one approach: start with the costliest question, measure the change, keep people in charge.

More ways connected data meets real work

Demonstrations and reference scenarios on the same engine as our client projects; they are not the measured client results above.

Figures reported by each client at project close. Methods and baselines on each case page. Reference conversations can be arranged under NDA.

Explore all 22 use cases

In our client’s words

The AI solution has given us a real competitive advantage in our market as we improved our productivity by 30% and above all, we enhanced the working life of our employees.

Customer Relationship DirectorEuropean telecommunications operator
30%productivity increase

Read the full telecom case

From question to result

How an engagement works

One business question, four phases, a measured result before you scale. The same method delivered every result on this page.

A consultant and managers mapping a workflow together on a wall of notes (illustrative image)

How we start

Every engagement starts with a scoped discovery phase that ends with a clear go/no-go decision, before anything is built.

Plan your first phase

How we work

  1. Analyse

    Find where the time and risk really go

    We map the process end to end, from first request to final decision, and measure where work is repetitive, slow or blind.

    You get: a baseline, the top automation opportunities and a costed plan, with a go/no-go decision.

  2. Design

    Agree what AI does and what people decide

    We design the workflow, the data connections and the human handoffs, then set the controls your risk and compliance teams require.

    You get: target workflow, data map, governance rules and KPIs.

  3. Build & integrate

    Build into the systems you already run

    Assistants, dashboards and connections are built inside your environment and integrated with your CRM, document management, ERP or grid systems. Nothing is ripped out.

    You get: a working application in your environment, tested against the KPIs.

  4. Adopt & improve

    Make it part of daily work

    We train your people and roll out team by team, then measure and improve with real cases.

    You get: trained teams, documentation and a measured before/after.

    For example: 6 h training + 30 days support at a telecom operator

The NatusAI platform

What you can buy today, and where the platform is going

All seven products and their status
The NatusAI product constellation NatusAI Orion at the centre, connected to NatusAI Lyra (available), NatusAI Cygnus (planned first release), and NatusAI Auriga, Aquila, Draco and Gemini (roadmap).
Seven connected products, one platform. Status as of October 2026.
Layer 01 · Connected foundation

A connected foundation you own

Relationships, history, location and search in one place, so AI works with the full context of your business.

For your technical team

NatusAI Cygnus is a planned single-server first release combining graph, time-series, geospatial, vector and full-text search in one engine, with versioned history (bitemporal) and a built-in MCP interface for approved AI agents. NatusAI Lyra UI is a Lit-based, framework-agnostic web-component library (lyra-ui.com). Full scope is available on request.

By role

What each executive gets

Different seats, different questions. Here is what NatusAI changes for each, and the evidence behind it.

Illustrative portrait of a chief information officer in a glass-walled office corridor

CIO / CTOTechnology

“Will it fit our architecture, and will it stay ours?”

  • Runs on-premises, in a sovereign cloud or hybrid
  • Connects to the CRM, document, ERP and grid systems you run
  • A documented exit plan from day one
Illustrative portrait of a chief operating officer overlooking an operations floor

COOOperations

“Where does the time go, and can we get it back?”

  • A measured baseline before anything is built
  • Routine work automated within agreed limits
  • People freed for the complex cases
89%of enquiries in the 12 automated categories resolved without human intervention at a telecom operator
Illustrative portrait of a chief financial officer at a desk by a window

CFOFinance

“How do we limit the investment, and prove the return?”

  • A scoped discovery phase with a clear go/no-go decision
  • A measured baseline, so the return is a before-and-after number
  • Runs on existing infrastructure: no hardware programme
70%productivity increase at a large European bank
Illustrative portrait of a head of compliance beside shelves of regulatory volumes

ComplianceHead of Compliance

“Can we defend every AI-assisted decision?”

  • Every answer linked to its sources and history
  • Named human approval for consequential steps
  • Activity records for audit and supervisors
80%faster compliance reporting at a large European bank
Illustrative portrait of a head of customer service in a calm contact centre

Customer ServiceHead of Service

“Can we answer faster without losing the human touch?”

  • Routine enquiries handled in hours, not days
  • Complex cases routed straight to the right agent
  • A live dashboard of volumes and quality
38%higher customer satisfaction at a telecom operator

CDOData & digital

“Can we finally see one picture across our silos?”

Documents, systems and history linked by their relationships, so every team works from the same connected knowledge.

Governance by design

Built for EU AI Act, GDPR, DORA and NIS2 obligations

Regulation is moving fast. Our architecture gives your compliance, risk and security teams what they need to supervise AI: sources, approvals, records and a way out.

How our controls support the EU AI Act, GDPR, DORA and NIS2

How control works in every NatusAI application

  1. Sources you approve.

    AI only uses the documents and systems you connect, and shows which ones it used.

  2. People who decide.

    Consequential actions wait for a named approver. AI proposes; it does not self-approve.

  3. Records you keep.

    Who asked, what was used, what was decided, and when, all stored in your environment.

  4. Visibility you control.

    Dashboards show volumes, quality and exceptions to the teams accountable for them.

Regulation by regulation EU AI Act · GDPR · DORA · NIS2 · Solvency II · KVKK
How NatusAI supports each regulatory framework
FrameworkWhat it means for youHow NatusAI supports it
EU AI ActProhibitions and general-purpose AI duties already apply. High-risk obligations are expected from 2 Dec 2027 (stand-alone) and 2 Aug 2028 (embedded), subject to final adoption.Human-oversight workflows, logging, source transparency and data-governance documentation that support your deployer duties.
GDPRLawful, minimal and transparent processing of personal data.Deployment in your environment and documented data flows.
DORAApplies to financial entities, banks and insurers alike, since 17 January 2025: ICT third-party risk, exit strategies, resilience testing.On-premises or EU deployment, documented exit plan, information for your ICT register, recovery evidence (verified recovery on our roadmap).
Solvency II · EIOPA (insurers)System-of-governance and outsourcing expectations for insurers using AI and external ICT providers.The same controls (human oversight, logging, documented data flows and exit) as input for your own governance and outsourcing documentation.
NIS2Energy, telecom and other essential entities must manage cyber risk across their suppliers. National transposition varies.Self-hosted operation inside your security perimeter, access control and audit trail.
KVKK (Türkiye)Cross-border transfers rely on adequacy, standard contracts or BCRs (since 2024).In-country or on-premises deployment, so no transfer is needed.
SOC 2 · ISO 27001 · NIST AI RMFCommon procurement and governance references in the US and globally.We do not claim any certification on this site. Ask us for our current certification status and our security documentation; we share them before any procurement step.
An infrastructure engineer and an IT security manager checking a server in an on-premises data centre (illustrative image)
Your infrastructure, your choice

Run it where your data belongs

Choose the setup your risk profile requires. We design for it from the start, and we can move between options later.

Where NatusAI runs and what never leaves
  • On-premises

    On your own servers, including standard IT hardware, with local AI models and no external calls. Best for banks, public institutions and critical infrastructure.

  • Sovereign cloud

    European hosting under contracts you approve, with a choice of EU-hosted AI models. Best for managed infrastructure under EU jurisdiction.

  • Hybrid

    Sensitive data on-premises, other workloads in the cloud, one governance model; in-country where law requires it (e.g. KVKK). Best for groups with mixed sensitivity.

Model-agnostic. We use the AI models your policy allows: hosted, EU-hosted or running locally.

Before you decide

Questions executives ask us

Short, direct answers. Your technical team will find the detail on the platform and product pages.

All answers for executives, risk and technical teams
An engineering team discussing a connected-data design around two desks (illustrative image)

Prefer to talk it through? Book a 30-minute executive briefing, with senior people only and no sales script.

Can NatusAI run inside our own data centre?

Yes. NatusAI is designed to run on-premises, in a European sovereign cloud or in a hybrid setup. The national grid digital twin we delivered for an electricity distribution operator runs on standard IT infrastructure, with no expensive hardware upgrades. You decide which data and models stay where, and we document it before we build.

What can we buy today, and what is still on the roadmap?

Today you can engage our team to deliver an AI application on the engine proven in our client projects, using NatusAI Lyra interfaces. NatusAI Cygnus (data foundation) is planned for its first release. NatusAI Orion (application platform), NatusAI Auriga (AI coordination), NatusAI Aquila (document intelligence), NatusAI Draco (operations) and NatusAI Gemini (verified recovery) are on the roadmap. Every product carries a status badge, and we share dates under NDA.

Who owns what we build for you?

You own your data, the models you choose and the applications we build for you. They run in your environment, and we plan and document the exit at the start of every engagement, not at the end: what you keep, and what you can run without us.

How quickly will we see a result?

We start with one business question and a measured baseline. A scoped discovery phase delivers a costed plan and ends with a clear go/no-go decision before anything is built. A European telecommunications operator moved standard enquiries from 3–5 days to hours with a 6-hour team training and 30 days of post-launch support.

How do you prevent AI from giving wrong or unsupported answers?

Assistants answer from sources you approve and show them. Consequential actions require a named person's approval, and complex cases are routed to people. We test quality before rollout and improve it with real cases.

Does NatusAI help with the EU AI Act, DORA and NIS2?

We support your obligations with human oversight, logging, source transparency, on-premises or EU deployment, and documented exit and recovery plans. We do not certify your systems or replace your legal assessment. Our governance pack maps these features to each framework.

Will we be locked in to NatusAI or to one AI provider?

No. You own your data and the applications we build for you. NatusAI is model-agnostic: we use hosted, EU-hosted or local models according to your policy. An exit plan is part of every engagement from the start.

Which AI models do you use?

The ones your policy allows. Past projects have used leading commercial models. Where data must not leave your environment, we use models that run locally. Model choice is recorded in the architecture and can be changed without rebuilding the application.

Who will we work with?

A small senior team: a lead consultant who owns the business outcome, a solution architect, and engineers who build inside your environment, plus an enablement lead for training.

Start with one question

Talk to our team

Bring the business question that costs you most: slow answers, scattered knowledge, a decision you can’t yet defend. In 30 minutes we’ll tell you honestly whether AI can change it, and how we would measure it.

  • No preparation needed
  • Senior people only, no sales script
  • You leave with a first view of scope, risk and value
  • Reference conversations can be arranged under NDA

Or write to contact@natusai.com.

A consultant and a client in a first meeting (illustrative image)