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Don’t replace frontier AI models. Make them safe to deploy.

Enterprises don’t need another probabilistic chatbot. They need flat-rate query costs, zero-hallucination accuracy, strict auditability, and clear ROI. Nextnet anchors volatile LLMs to a deterministic business ontology layer.

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Predictable ROI

Stop paying a linear tax with data growth.

Decouple data volume from inference spend to deliver predictable ROI. LLMs with RAG read scaling context windows on each query. Data growth becomes an unpredictable tax, burning tens of thousands on single contract reviews*. Nextnet optimally indexes your knowledge graph, resulting in sub-second GraphQL traversals.

LLM inference cost scaling dynamics
Raw RAG, linear scalingNextnet, predictable costCOST ($)Data volume (gigabytes → petabytes)

Up to $20K*

cost of a single raw RAG document review at enterprise scale

* Cost figure cited by Harvey

DIY trap

Custom AI pipelines are an ongoing maintenance liability.

Nextnet absorbs technical debt while your teams focus on proprietary outcomes, not pipeline scaffolding.

In-house DIY

Build it yourself

  • Costs millions in ongoing engineering headcount.
  • Brittle ETL scripts break on frequent AI model updates or database schema changes.
  • Internal teams love to build new projects, but long-term maintenance is a heavy burden.
  • Own technical debt, not business outcomes.
AI Ontology Infrastructure

Nextnet

  • Turnkey platform with zero infrastructure build.
  • Out-of-the-box connectors and native entity resolution.
  • Build on a world-class platform with enterprise support.
  • Nextnet absorbs technical debt.
Comparison

Frontier AI models without and with Nextnet

Dimension
Raw LLMs only
With Nextnet AI Ontology Infrastructure
Core architecture
Probabilistic. Calculates statistical likelihood.
Deterministic. Maps ontological relationships.
Data integrity
High hallucination risk.
Near-zero hallucination. Answers grounded in verified knowledge graph paths.
Audit & provenance
Non-existent. Can’t trace its own reasoning steps.
Absolute transparency. Step-by-step graph traversal path.
Scaling dynamics
Costs scale linearly with data volume. Performance degrades.
Costs stay flat. Sub-second queries even at petabyte scale.
Security & RBAC
Flat-file execution. Blind to document sensitivity.
Native governance. Strictly enforces role-level and row-level security.
Advantage

Own the intelligence. Swap the models.

Renting frontier AI models provides no long-term competitive advantage. Nextnet turns your organization’s fragmented tribal knowledge into a deterministic ontology that you own. While commodity LLMs guess, Nextnet surfaces verifiable truth, preserves institutional memory, and transforms data growth into a compounding strategic asset.

MODEL AMODEL BMODEL CONTOLOGYYOUR ONTOLOGY · OWNED · COMPOUNDING

Keep your frontier AI model. Make it safe to deploy.

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