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AI for
business.

Assistants that know your business, processes that run themselves and documents that read themselves. With the security of a cybersecurity company.

Touch the neurons in the background

AI doesn't replace your team.It takes the busywork.

24/7assistants that never sleep or get tired
0of your data used to train someone else's models
4wksto a real proof of concept
100%of actions logged and auditable
AI agents

Watch it work.

Pick an everyday task and watch an agent solve it step by step — security controls included.

InputWhatsApp · Maria G.

Hi, has my order #4821 shipped yet? I need it by Friday 🙏

NINJA Agentidle
  1. Detects intent: order status
  2. Checks the ERP: #4821 → out for delivery
  3. Reviews the delivery policy
  4. Writes in your brand's voice
Personal data masked in the logs
Output

✓ Ticket closed in the CRM✓ Tracking sent
Demo with sample data. No real AI is used and nothing is sent.
Services

AI people actually use.

No demos that never leave the slide deck: solutions wired into your systems and your day-to-day operations.

Chatbots for customers or your team that answer from your manuals, policies and catalog (RAG), cite their sources and know when to say “I don't know.” On web, WhatsApp or Teams.

  • RAG
  • WhatsApp
  • Web
  • Teams
  • Source citations

Workflows that read, decide and act: log orders, follow up, reconcile, notify. Always with human approval where it matters.

  • Agents
  • Human approval
  • CRM · ERP
  • APIs

Invoices, tax documents, contracts, forms and case files: we extract the data, validate it and load it into your systems — no manual data entry.

  • OCR
  • Invoices · tax docs
  • Contracts
  • Validation

Reports and analysis in plain language over your databases and spreadsheets, with read-only permissions and verifiable results.

  • SQL
  • Dashboards
  • Read-only
  • Executive summaries

We build language models into your web and mobile systems: semantic search, classification, assisted writing, recommendations.

  • Claude
  • OpenAI
  • Embeddings
  • Next.js · Laravel

When data can't leave the building: open models deployed in your cloud or on your own servers, with full control.

  • On-premise
  • Private cloud
  • Llama · Mistral
  • Kubernetes

Protection against prompt injection and data leaks, least-privilege permissions, auditable logs and usage policies. Security is our specialty.

  • OWASP LLM Top 10
  • Guardrails
  • Auditing
  • Usage policies

We find the use cases with the best ROI, build the roadmap and train your team to use AI well — and safely.

  • Assessment
  • Roadmap
  • Workshops
  • Prompt engineering
By department

Where to start?

01

Customer service

24/7 answers on WhatsApp and web using your real information; tricky cases go to a human.

02

Sales

Quotes in minutes, automatic follow-ups and a briefing on every client before the meeting.

03

Finance

Invoices read and reconciled automatically; matching and anomaly alerts.

04

Human resources

First-pass résumé screening, answers about internal policies and guided onboarding.

05

Operations

Inventory, orders and reports that build themselves every morning.

06

Legal & compliance

Contract review against your checklist and search across regulations and case files.

Calculator

How much time do you get back?

Move the sliders using your company's numbers.

Your team today

Copying data between systems, answering the same questions, reviewing documents, building reports…

With AI and automation
121hours a month handed back to your team
Workdays / month15
Value / month$727
Value / year$8,729

Out of 346 h a month spent on repetitive work, AI takes over 35 %. Your people keep the work that truly needs human judgment.

Ballpark estimate. The real number comes out of the assessment.

Secure AI

Try to hackthe AI.

A poorly configured AI assistant will hand over secrets with the right phrase. Attack the unprotected version first, then ours.

Try a real-world attack against AI assistants:

0secrets leaked
0attacks blocked
GUARDRAIL TRIGGERED—
store-assistant · unprotected ⚠
Hi! I'm the store assistant. I've got a secret I'm not supposed to tell… think you can get it out of me?

Local rule-based simulation: no real AI, nothing leaves your browser, and the code is fictitious.

Method

From idea to production.

Start with a small, measurable use case. Then scale what works.

Week 1

Assessment

We map your processes and data and pick the use case with the best return and the lowest risk. No hype.

Weeks 2–4

Proof of concept

A working prototype on your real data, measured against the current process.

Weeks 5–8

Pilot with your team

Real users, tuning, guardrails and human approval where it's needed.

Weeks 9+

Secure integration

Connected to your systems with least-privilege permissions, auditable logs and cost monitoring.

Always

Measure & scale

Hours saved, quality and satisfaction. What works rolls out to other teams.

FAQ

What everyone asks us.

Is my data used to train third-party models?

No. We use enterprise plans and APIs that don't train on your data, and when the use case calls for it we deploy private models in your cloud or on your servers.

Do I need a big budget or tons of data to get started?

No. We start with a focused, measurable use case. Your existing documents and systems are usually enough for a proof of concept.

Will AI replace my team?

We use it to take the repetitive work off their plate. Important decisions still go through people, with AI doing the prep work.

What if the AI gets it wrong?

We design for that: answers with sources, automatic validations, human approval on sensitive steps and logs to audit every action.

Which models do you work with?

We pick the model per use case: leading commercial models like Claude or OpenAI, or open models like Llama and Mistral when full privacy is required.

Next step

Let's find your first AI use case.

Book an AI assessment