PRIVATE GENERATIVE AI

Private GenAI for enterprises, public administrations and regulated organizations: control over data, models, and deployment

Build multilingual AI assistants, knowledge systems and task specific models around your own data and operating requirements. Pangeanic combines secure retrieval, model customization, evaluation and controlled deployment so sensitive enterprise knowledge can remain under your governance.

Discuss a Private AI Deployment Explore Sovereign AI
Private cloud Controlled enterprise deployment
On premises Infrastructure under your governance
Multilingual Retrieval, generation and evaluation
Evaluated AI Grounding, quality and human review
Gartner Logo recognition: A Representative Vendor in the December 2024
A Representative Vendor in the December 2024 "Emerging Tech: Conversational AI" 
 
Gartner Logo recognition: A Representative Vendor in the 2024
 A Representative Vendor in the 2024 "Market Guide for Data Masking and Synthetic Data" 
 
Gartner Logo recognition: A Sample Vendor in the 2023, 2024
 A Sample Vendor in the 2023, 2024 "Hype CycleTM for Natural Language Technologies" 

Private AI by design

What does “private” mean in Private GenAI?

Privacy is more than choosing where a model runs. A genuinely private GenAI environment gives your organization control over the data models can access, the knowledge they retrieve, how their behavior is evaluated and where the resulting system operates.

01 · DATA

Control your data

Define which enterprise data can be used for retrieval, adaptation and evaluation. Sensitive documents, personal information and proprietary knowledge can remain inside governed environments rather than becoming uncontrolled inputs to external AI services.

02 · MODELS

Control your models

Select models according to the task rather than forcing every problem through the largest available LLM. Pangeanic can combine task specific small language models, adapted models and selected external models inside the same controlled architecture.

03 · KNOWLEDGE

Control your knowledge

Ground AI systems in trusted corporate repositories, multilingual content, terminology and authorized sources. Retrieval and access policies determine what the system can use and which information remains outside its reach.

04 · DEPLOYMENT

Control deployment and evaluation

Deploy across private cloud, on premises or isolated environments while continuously evaluating output quality, factual grounding, multilingual behavior and operational risk before expanding use.

AI designed around your boundaries

Pangeanic combines multilingual AI, data governance, secure retrieval, model adaptation, anonymization and evaluation within architectures designed for enterprise and public sector deployment.

Private GenAI solutions

What can you build with Private GenAI?

Private GenAI can support very different operating models. The architecture should start with the job your organization needs to perform, the information it can safely expose and the level of control required in production.

ENTERPRISE KNOWLEDGE

Private AI assistants

Give teams secure conversational access to corporate knowledge, policies, technical documentation and operational information while controlling sources, permissions and model access.

Internal knowledge Role based access Multilingual interaction Source grounding
Explore ECOChat →
GOVERNED RETRIEVAL

Enterprise RAG and grounded AI

Connect models to approved enterprise repositories so answers are generated from relevant and authorized knowledge rather than relying only on what a general model learned during training.

Secure retrieval Knowledge grounding Terminology control Evaluation
Explore grounded AI systems →
SENSITIVE DOCUMENTS

Private document intelligence

Search, extract, classify, summarize, translate and analyze sensitive document collections without sending institutional knowledge through uncontrolled public workflows.

Document search Extraction Summarization Secure translation
Explore ECO Intelligence →
GLOBAL ORGANIZATIONS

Multilingual Private AI

Build private AI systems that retrieve, understand and generate information across languages while preserving enterprise terminology, domain knowledge and access policies.

Cross language retrieval Multilingual generation Domain terminology Language evaluation
Discuss a multilingual AI system →

From prototype to production

The model is only one component of a private AI system

Production Private GenAI combines governed data, retrieval, anonymization, multilingual expertise, model evaluation and controlled infrastructure. The architecture is designed around what the organization needs the system to know, where it may operate and how its outputs will be judged.

Discuss your Private AI use case
Production proof

Private AI built where control is an operational requirement

Pangeanic has deployed language AI and multilingual infrastructure in environments where sensitive information, controlled processing and specialized models are production requirements rather than theoretical concerns. Those deployments provide the foundation for today's Private GenAI architectures.

01 // SECURE DEPLOYMENT

Veritone / Iron Bank

Pangeanic prepared specialized neural language technology for deployment through Veritone inside the U.S. Department of Defense Iron Bank environment, supporting controlled processing rather than sending sensitive information through external consumer services.

Demonstrates: specialized models, sensitive data handling, controlled infrastructure and language AI deployment in security constrained environments.
Read the Iron Bank Use Case →
02 // PUBLIC INFRASTRUCTURE

Spanish Tax Agency

Spain's Tax Agency uses Pangeanic technology for controlled multilingual document workflows across a large and geographically distributed public administration, operating in a dedicated environment rather than relying on consumer translation tools.

Demonstrates: public sector scale, dedicated infrastructure, secure document operations and controlled multilingual workflows.
Read the AEAT Use Case →
03 // PRIVACY & GOVERNANCE

Multilingual data masking

Pangeanic develops multilingual data masking and anonymization capabilities for workflows where personal and sensitive information must be detected and protected before downstream AI processing.

Demonstrates: privacy engineering, multilingual PII detection, governed data flows and protection before model inference.
Explore Data Masking →
FROM PRIVATE LANGUAGE AI TO PRIVATE GENAI

The models have changed. The control problem has not.

Iron Bank and AEAT began with neural machine translation rather than today's GenAI stack. But both required the disciplines now central to Private GenAI: governed data flows, specialized models, controlled infrastructure, multilingual performance and operational oversight.
DEPLOYMENT WITHOUT DOGMA

Choose the degree of sovereignty your organization actually needs

Private GenAI does not require every organization to build the same fortress. An enterprise knowledge assistant, a public administration handling sensitive documents and an isolated security environment may all require different combinations of models, infrastructure, access controls and human oversight.

The appropriate architecture should follow the sensitivity of the information, operational constraints and acceptable level of external dependency.

LEVEL 01 · CONTROLLED CLOUD
Governed enterprise AI

For organizations that want the productivity of generative AI while retaining stronger control over data access, enterprise knowledge, retrieval and model usage.

Typical fit: internal knowledge assistants, document intelligence, regulated workflows and multilingual corporate search.

LEVEL 02 · PRIVATE INFRASTRUCTURE
Private cloud or on premises AI

For enterprises, public administrations and regulated organizations that need models, retrieval systems and sensitive information to remain inside controlled infrastructure.

Typical fit: public sector, financial services, legal information and sensitive enterprise repositories.

LEVEL 03 · ISOLATED
Air gapped and restricted AI

For environments where external model calls or continuous connectivity are incompatible with operational security, information sensitivity or infrastructure policy.

Typical fit: defense, law enforcement, critical infrastructure and other environments with strict operational boundaries.

Production proof

Multilingual AI proven through data, public infrastructure and real deployment

Pangeanic’s current AI capabilities were built through years of multilingual data operations, European research, public-sector deployment and production language technology. These projects show how data, human evaluation, privacy controls and model adaptation become operational systems.

01 // MODEL ALIGNMENT

Barcelona Supercomputing Center

Pangeanic contributed multilingual data, human feedback and model-alignment workflows for Spanish and Catalan language models developed with Barcelona Supercomputing Center.

Demonstrates: multilingual training data, expert review, RLHF, evaluation, and alignment for sovereign language models.
Read the BSC Use Case →
02 // PUBLIC INFRASTRUCTURE

Spanish Tax Agency

Pangeanic supports secure document translation workflows for a large public administration whose teams operate across locations, functions and multilingual investigation contexts.

Demonstrates: secure enterprise translation, document operations, public-sector scale and controlled language workflows.
Read the AEAT Use Case →
03 // AI DATA OPERATIONS

Multilingual AI Data Operations

Pangeanic sources, prepares, evaluates, and delivers multilingual data for AI training, retrieval, model evaluation, and production language workflows.

Demonstrates: multilingual datasets, expert review, annotation, evaluation, and reliable delivery for enterprise and public sector AI programs.
Explore AI Data Operations →
04 // Research provenance

Built through multilingual research and European deployment work

Pangeanic’s AI data operations, language technologies and sovereign deployment capabilities are grounded in more than two decades of work on multilingual corpora, machine translation, speech resources, anonymization, evaluation and human feedback. This research trail now supports production workflows for training, fine-tuning, evaluation and model alignment.

Private GenAI FAQ

Questions about Private GenAI

Private GenAI can mean different things depending on an organization's data, infrastructure, security, and operational requirements. These are some questions enterprises, public administrations, and regulated organizations should address when designing a controlled AI environment.

What is Private GenAI?

Private GenAI is a generative AI environment designed around an organization's own data, knowledge, access policies, models, and infrastructure requirements. It can combine enterprise RAG, private or adapted models, small language models, anonymization, evaluation, and controlled deployment while keeping sensitive information and operational decisions under organizational governance.

Can Private GenAI run on premises or in an air-gapped environment?

Yes. Private GenAI can be deployed in a controlled cloud, private cloud, on-premises, and isolated environments. The appropriate deployment depends on data sensitivity, security requirements, infrastructure policy, acceptable external dependencies and the models required for the task.

Can Pangeanic use small language models instead of large public LLMs?

Yes. The model should follow the task. Pangeanic can combine task specific small language models, adapted models and approved external models according to requirements for privacy, language coverage, latency, cost, infrastructure and measurable performance..

How does Pangeanic protect sensitive data in Private GenAI workflows?

Protection can include controlled infrastructure, access policies, governed retrieval, and multilingual data masking before information reaches downstream models. Evaluation and human oversight can then be added according to the operational risk of the workflow.

PRIVATE GENAI · PANGEANIC

Build Private GenAI around your data, infrastructure and risk profile

Whether you need a controlled enterprise assistant, multilingual RAG, private document intelligence, adapted small models or an isolated AI environment, Pangeanic can design the architecture around the information your organization needs to protect and the outcomes it needs to achieve.

Enterprises Public administrations Regulated organizations