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Associative NLP (Natural Language Processing) Platform for Enterprise Intelligence

Pompelio enables organizations to extract meaning from unstructured documents using associative reasoning and domain-specific knowledge — without machine learning, models, or retraining. It solves the enterprise problem of fragmented, language-heavy data, delivers explainable outcomes with no black boxes, and is ready for global, multilingual, and regulated environments.
At Pompelio we are building a new kind of Natural Language Processing (NLP) platform that understands and reasons like a human — not through statistical guesswork, but through structured knowledge, abstraction, and associative logic.
Pompelio turns messy text data into meaning.

We want to pioneer a foundation for real AGI — an AI capable of understanding the world through conceptual associations, objective knowledge, and human-like reasoning.
Pompelio Enterprise NLP Graph
Despite massive investment in search and automation, most enterprise data remains disconnected, misunderstood, and underutilized.
Key facts:
  • 80% of enterprise data is unstructured — emails, reports, chat logs, PDFs
  • 30% of knowledge workers’ time is spent searching for internal information (IDC)
  • $300B lost annually in e-commerce due to poor search and data retrieval (Google × Harris)
  • Cross-cultural ambiguity: employees think and write differently depending on language and context
  • Black-box language models hallucinate ~15% of outputs (Stanford HELM, 2024) — unacceptable in regulated domains

Why Enterprise Systems Still Don’t Understand Language

Enterprises don’t need more models. They need meaning.
They need a way to work with knowledge — not just text.
Pompelio introduces a new way to process unstructured text — not through statistical models, but through associative reasoning grounded in curated domain knowledge.

  • How it works:We extract entities and relationships from documents using domain-specific dictionaries, taxonomies, and regulatory standards
  • These become part of a structured knowledge graph, where concepts are linked by meaning, not keywords
  • User queries are interpreted through this graph, enabling contextual search, discovery of hidden links, and explainable results
  • No training data, no re-labeling, no retraining — only relevant knowledge

Key strengths:
  • Deterministic: every result is traceable and explainable
  • Multilingual-ready: supports global teams and cross-cultural contexts
  • Domain-adaptive: works out-of-the-box with industry-specific logic and vocabulary

Meaning Through Structure, Not Prediction

This is not artificial intelligence.
It’s applied language structure — engineered for enterprise understanding.
Pompelio’s platform is not a prototype — it’s built on a proven foundation, with core components already tested in real-world, high-volume environments.

What we’ve already delivered:
  • Entity extraction and graph construction engine — completed and validated with external clients
  • Graph-based interface prototype — allows users to explore semantic relationships across documents
  • Multilingual parsing and reference integration — supports Cyrillic, Latin, and domain-specific terminologies
  • Legacy engine IQDQ was used in production by logistics leaders like DPD and AliExpress for address parsing and validation

What’s next:
  • Q3 2025 — Launch of MVP for document search and semantic reasoning
  • Q4 2025 — First enterprise pilots in compliance and internal knowledge systems
  • 2026 - 27 — Rollout across BRICS and expansion of partner ecosystem

Validated Technology. Built for Scale.

From logistics to legaltech, from address graphs to knowledge graphs — Pompelio is ready to scale where others cannot.
Pompelio is designed as a multi-layered platform that adapts to different enterprise needs — from document search to compliance logic and custom knowledge services.

Core Modules:
  • Document Search & Semantic Linking
Context-aware search that reveals hidden connections between documents, even across formats and languages.
  • Graph Engine & Navigation UI
Visualize and traverse the relationships between people, events, terms, or clauses — in real time.
  • Dictionary & Ontology Toolkit
Import, manage, and version domain-specific references (standards, glossaries, taxonomies). No ML required.
  • Reasoning Core
Associative logic engine that enables structured interpretation of queries and text — deterministic, explainable, and domain-adaptive.

A Modular Platform for Structured Language Reasoning

Built for extensibility — works as a platform, a product, or a component inside larger enterprise systems.
Global demand for intelligent handling of unstructured data is growing fast — driven by regulatory pressure, knowledge worker inefficiency, and digital transformation mandates.

Our Initial Focus: Enterprise Search & Reasoning
$12.7B global enterprise search market (by 2032, CAGR >12%)

What makes Pompelio different:
  • Not another neural search tool
  • No hallucinations, no retraining cycles
  • Runs in secure, private infrastructure environments
  • Works across languages, formats, and regulatory frameworks

Cross-cultural Advantage: Global-Ready by Design
Modern enterprise environments are inherently global and multicultural. While English is the de facto language of communication, it's not the native language for the vast majority of knowledge workers worldwide. As a result, people formulate thoughts, write, and search for information differently, influenced by their native language, cultural context, and mental models.
Traditional search — even semantic search — struggles to bridge these gaps, relying heavily on statistical correlations and keyword matching.
Our associative search model goes deeper. By understanding the meaning behind concepts, and by building on curated, multilingual, domain-specific dictionaries and ontologies, we provide a system that:
  • Adapts to how users think, not just what they type
  • Bridges cross-cultural variations in language usage
  • Delivers reliable, language-agnostic results
  • This makes our platform a natural fit for global enterprises operating across regions, languages, and cultural frameworks — with zero dependency on training data from each language.

We don't just support globalization. We enable it.

Unlocking the Value of Natural Language and unstructured text data in the Enterprise

First market: enterprise search.
Next: document compliance, audit automation, and vertical intelligence platforms.
Pompelio supports multiple monetization paths to serve enterprise, mid-market, and partner ecosystems — all built on a scalable and modular architecture.

Revenue Streams:

  • Enterprise Licensing
Annual on-premise or private cloud licenses for regulated sectors (finance, public, telecom).
Pricing based on number of users, modules, and integrations.

  • SaaS Subscriptions
Tiered access to associative search, document reasoning, and reference tools via API or web interface.
Usage-based pricing for specific services.

  • SDK & OEM Licensing
For developers and system integrators building vertical solutions.
Includes embedded engine, white-label options, and revenue-sharing models.

  • Knowledge Marketplace
Domain experts can upload and sell dictionaries, classifications, and logic packs.
Pompelio earns commissions and certifies verified modules.

  • Add-on Services
Professional onboarding
Integration plugins (Microsoft 365, CRMs, etc.)
SLA support tiers
Custom dictionary development

Multi-Channel Revenue. Designed for Expansion.

Whether deployed as infrastructure or embedded in software, Pompelio is built to work with structured texts— at scale.
👥 + Engineering & Knowledge Modeling Team
Specialists in distributed systems, formal ontologies, and domain-specific language structures.
Pompelio is led by a team with deep experience across enterprise IT, computational linguistics, product development, and B2B go-to-market execution.

Our Team:

Built by Practitioners. Proven in the Enterprise.

Oksana Trifonko – CMO, GR, Investor relations
Oksana Trifonko – CMO, GR, Investor relations
20+ years in PR, corporate communications, and GTM strategy.
Held leadership roles in major enterprise groups (AFK Sistema, RAO UES, retail, legaltech).
Vitaly Zabavin, PhD – co-Founder, Chief of Science, CTO
Vitaly Zabavin, PhD – co-Founder, Chief of Science, CTO
Inventor of the Pompelio associative engine.
Expert in knowledge modeling, data quality, and unstructured data processing.
20+ years of research and system design in regulated industries.
Petr Dyakov – co-Founder, CEO
Petr Dyakov – co-Founder, CEO
20+ years in enterprise IT sales and business development (Microsoft, VMware, Brocade, Rosa Virtualization).
Led B2B product launches, partner strategy, and high-stakes enterprise deals across EMEA.
Our relationships are time-tested.
We share discipline, trust, and a long-term mindset — backed by operational history and technical rigor.
We’ve built the engine.
We’ve validated the approach.
Now we’re ready to bring structured understanding to the organizations that need it most.

Funds will support:
  • Finalization of MVP for document search & knowledge graph navigation (Q3 2025)
  • Execution of two enterprise pilots in compliance & internal knowledge systems (Q4 2025)
  • Expansion of domain dictionaries & partner onboarding toolkit
  • Integration with Major LLMs
  • Initial sales and GTM launch across CIS and BRICS regions

Funding Round: Pre-Seed
Goal: Product-market fit, first recurring revenue, Series A prep

Join us in shaping the future of enterprise knowledge understanding.

We’re Fundraising to Launch a New Era of Enterprise Language Infrastructure