Pharma / USA
Teva Pharmaceuticals
Prediction, reporting and analytics systems supporting production decisions and contract management. Experience with a large regulated organization and real operational data.
AI Consulting & Sovereign AI Solutions
Your Company.
Your Data.
Your AI.
We help enterprises implement AI safely — from strategy and training to private on-premise solutions. No compromises on data privacy.
BlackBox AI
Workspace: Legal & Audit
Private LLM
Self-Hosted
Enterprise Ready
Knowledge Base
Select document source:
References
Act-2026-EN.pdf
Regulatory rules
Q3-Audit-Summary.xlsx
Internal report
Chat Sandbox
SECURE ON-PREMISE
Compare Q3 draft with EU AI Act Art 6.
Answer: Based on the Q3 Audit Summary (p. 4) and EU AI Act (Art. 6):
- Compliance status is high, but Article 6 requirements for high-risk systems need explicit logging.
- Recommended update to data tracking procedure before final release.
✓ Sources verified
Compliance Mode
Local LLM
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Model Confidence
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External Requests
Local
Inference Mode
Private Deployment
Your data never leaves your environment.
How we work with clients
Three Pillars of AI Transformation
We combine strategy, technology, and people. Choose the path tailored to your organization's current stage.
AI Strategy Workshop
We build your AI strategy from scratch. We define business goals, map processes, prioritize initiatives, and build a roadmap — based on Gartner methodology.
Strategy Workshops RoadmapAI BlackBox
Private, sovereign on-premise AI. Your data never leaves your organization. European models, compliance with EU AI Act 2026, complete control and isolation.
On-premise GDPR EU AI ActSolution Accelerator
Rapid implementation of selected AI tools and customization for your business processes. From Proof of Concept to production in weeks, not months.
MVP PoC Deployment
1. Define Direction
A strategic workshop aligns goals, data, risks, and initial high-value areas.
2. Build Secure Core
BlackBox AI provides a private environment for documents, knowledge, and models.
3. Deliver First PoCs
Solution Accelerator translates strategy into PoC, automations, and production processes.
Competitive Advantage
Your company. Your data. Your AI. Your market advantage.
BlackBox AI is not another off-the-shelf tool. It is company AI tailored to your processes, knowledge and language. Secure, auditable and developed with the organization so it becomes a real asset your competitors cannot simply buy tomorrow morning.
BlackBox AI use cases
One private AI environment. Multiple business scenarios.
BlackBox AI is our proprietary environment for working with company knowledge. It gives control over data, sources, roles and auditability wherever security is a deployment condition.
Finance & Audit
Analysis of transactions, statements, reports and anomalies in an environment that preserves sources, audit trails and access control.
View use caseLaw & Compliance
Work with contracts, regulations, documentation and knowledge bases with source-based answers and full process confidentiality.
View use caseConfidential Docs & Know-how
A secure environment for R&D, formulas, source code, technical specifications and operational knowledge that should not enter public AI tools.
View use caseSecure AI for SAFE Programme
Specification, logistics, risk and confidential supply-chain analysis in an environment designed for elevated security requirements.
View use case
Methodology
How we move from idea to implementation
A concise process that organizes business decisions, data, risks and first deployments. Less theory, more concrete action plan.
01
Goal and value
We define business goals and KPIs before selecting tools. What should AI actually change in your company?
02
Data and readiness
We audit data, sources of truth and process readiness. We assess quality, permissions and data sensitivity.
03
Opportunity map
We map Everyday AI and Game-Changing AI ideas, then score each opportunity by value and feasibility.
04
Capability roadmap
We plan skills, training, standards and tools: who to train, which roles to build and how to govern knowledge.
05
Pilot on data
We run a Proof of Concept on real data with a measurable goal, validating value before scaling.
06
Scale and governance
We scale the solution, define AI operating rules, roles, governance and ROI measurement.
Flagship Product
AI BlackBox — company AI tailored to your organization
A private AI environment that works on your organizational knowledge, keeps sources visible and creates advantage without sending data outside.
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Talks to company documents — searches, summarizes and compares contracts, procedures, reports, scans and notes.
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Shows sources for answers — points to documents and fragments behind the recommendation instead of leaving users with a black box.
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Protects data and know-how — can run on-premise or in a private cloud inside the client's controlled environment.
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Learns the organization's language — adapts to terminology, processes, roles and the way teams work.
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Provides a full audit trail — logs, roles, permissions and activity history support compliance requirements.
Private AI Architecture
DocumentsPDF, scans, procedures, contracts
Tabular dataXLS, XML, reports, registers
AI BlackBoxCompany knowledge, roles, sources, audit logs and access control
Answerswith source citations
Governancecompliance, security, audit
Security
Corporate-grade data security
We design private AI to meet today's requirements and stay ready for future regulations. We go one step further: data stays under control, user activity is auditable and access is managed like in a mature enterprise.
Data security
Data, documents and know-how remain in the company's controlled environment. When needed, the system can operate in isolation without sending queries to public AI tools.
One step ahead of regulation
We build architecture with GDPR, the EU AI Act and future requirements in mind. Instead of doing the minimum, we organize data, roles, sources and governance from the start.
Full user activity audit
You can see who logged in, which documents they used, what questions they asked and what actions they performed. Active Directory / LDAP integration helps manage access and revoke permissions safely.
Training
AI for boards, owners and managers
A two-day strategic program that moves from AI inspiration and understanding to an opportunity map and a concrete action plan.
Strategy first. Then tools, training and investments.
Companies often start by buying tools or running isolated training, and only later ask how to scale it. This program reverses the order: first we organize goals, risks, data and priorities.
It is designed for decision-makers, not programmers. We show what AI actually changes in companies and how to build advantage before competitors move faster.
The final output is a strategy document: opportunity map, priorities, tasks, training needs and first deployment plan.
2
Intensive days
100%
Workshop format
Plan
Strategy document
Workshop flow
From strategy to implementation decisions
Day one
Diagnosis and opportunity map
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Goal and context
We define where AI should help the business: cost, quality, time, risk or revenue.
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Data and processes
We map knowledge sources, constraints, roles and areas ready for first practical use cases.
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Opportunity map
We select use cases that can create fast impact without risky improvisation.
Day two
Initiative analysis and roadmap
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Prioritization
We score initiatives by value, feasibility, risk and organizational readiness.
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Roadmap and owners
We define sequence, responsibilities, training needs and IT dependencies.
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Management decisions
We end with a plan that lets the company start implementation instead of buying tools blindly.
Final output
An AI strategy ready to launch first implementations
Opportunity map, priorities, risks, training needs, owners and a concrete decision path before investing in tools.
AI Change Blog
Selected texts on AI strategy, regulation and security
Practical perspectives from implementation work: how to start with strategy, protect data and prepare for new regulations.
EU AI Act: organize your AI strategy now, before the market and regulators force you to.
AI is already entering companies through side doors. The winners will turn it into a controlled advantage; the rest will pay later for chaos, risk and missed opportunities.
Act before competitors scale AI safely
Turn regulation into a board-level roadmap
Protect data while building private AI advantage
Read more →
Sovereign AI: from trend to strategic necessity
31 March 2026 · private AI for enterprise
AI implementation in 2026: it is not about the tool. It is about strategy.
20 January 2026 · AI strategy
AI reaches a new level. Governments are starting to organize the rules
31 March 2026 · regulation
See all articles
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FAQ
Frequently Asked Questions
Everything you need to know about private AI, security, and implementation process.
Yes. BlackBox AI can run on-premise or in a private cloud, meaning your data, documents, and know-how never leave your controlled environment. We also support fully air-gapped operation.
We usually start with a strategic workshop, process mapping, and selecting a single area of high business value. Only then do we design the architecture and choose the implementation model.
A PoC is built on real data and a specific business scenario, such as document analysis, audit, or knowledge management. The goal is to quickly demonstrate value within 2-4 weeks.
We support both areas: sovereign AI architecture as well as strategy, process mapping, AI compliance guidelines, and preparing teams for the transition.
Do not postpone company AI
Regulation, data and competition will not wait. Let's discuss where AI can give your company an advantage now — without risking your data or reputation.
ul. Tadeusza Kościuszki 117, 40-523 Katowice, Poland