Platform Economics

When AI runs inside your network,
the meter stops running.

Cognetryx deploys on infrastructure you own. There's no API token billing, no per-seat pricing that compounds with usage, and no vendor pricing decision that touches your budget. What you pay for is what you planned for.

2× Lower
Total cost of ownership vs. cloud AI over four years.
Fixed
Your cost is set by the hardware you own, not by how hard your team uses it.
$0
Per-token billing, per-seat API charges, or metered usage fees.

The Cost of Cloud AI at Scale

These aren't projections. They're what organizations are actually reporting about what enterprise AI costs them.

108%
Year-over-year increase in enterprise AI-native spend
Average AI spend per organization hit $1.2M in 2025, and it's still climbing. Usage-based billing models mean the number scales with adoption, not with budget cycles.
Source: Enterprise AI Spending Report, 2026
78%
IT leaders who reported unexpected charges from AI platforms
Consumption-based pricing looks predictable on paper. In practice, agentic workflows multiply token usage in ways that don't show up until the invoice arrives.
Source: Enterprise AI Cost Survey, 2026
10×–100×
Cost spikes reported after GitHub Copilot moved to token billing
On June 1, 2026, GitHub replaced Copilot's flat subscription with per-token metering. Developers reported monthly bills jumping from $29 to $750. Some agentic workflows saw much larger swings. There's no ceiling unless you set one manually.
Source: GitHub Blog, developer community reporting, June 2026
14+
Average number of AI tools an enterprise runs simultaneously
Each tool has its own pricing model, its own API key, its own renewal date, and its own security review. The integration overhead alone — connecting those tools to your data — runs $1.26M to $5M before any queries are answered.
Source: Enterprise AI Consolidation Report, 2026

Why Private Infrastructure Changes the Math

This isn't a pricing negotiation. It's an architectural question.

Cloud AI
📊

Every Query Is a Billable Event

API pricing ties every conversation, document search, and agent task to a token count. Usage grows as adoption grows. Budget projections become guesswork once agentic workflows enter the picture.

Private Infrastructure
🏗️

Fixed Cost, Unlimited Queries

When the model runs on hardware you own, each query costs what it costs to run the hardware. Adoption grows. The invoice doesn't. Your team can use AI as aggressively as the work demands.

Cloud AI
🔗

Vendor Pricing Decisions Affect Your Budget

API pricing changes happen on the vendor's schedule. Model deprecations, tier restructuring, credit policy updates — each one is a renegotiation you didn't plan for. And the data you've sent to generate those queries is now in someone else's environment.

Private Infrastructure
🔒

Your Infrastructure. Your Pricing.

A vendor's pricing decision can't touch a deployment that doesn't call their API. You own the hardware, the model weights, and the data. None of it moves, and none of it reprices.

Cloud AI
🧩

Tool Sprawl Multiplies the Cost

Most organizations end up with one tool for documents, one for code, one for workflow, one for chat. That's four separate contracts, four security reviews, four integration projects, and four billing cycles that compound without a shared ceiling.

Private Infrastructure

One Platform for All of It

Cognetryx handles document search, knowledge retrieval, agentic task completion, report generation, and workflow automation on a single deployment. One contract. One integration surface. One security review. The overlap you're currently paying for disappears.

500-User Deployment

The same work. A very different invoice.

Cognetryx
Private Infrastructure
Fixed
quoted for your deployment
A fixed cost, scoped to your size and workflow needs, with no per-seat, per-token, or usage fees. It holds steady as usage climbs.
vs.
Cloud AI Services
Per-Seat + Metered
$4.8M
over four years
About $200 per user a month once seat licenses and agentic usage are combined, and rising. Every workflow and agent task adds to the bill.

Cloud estimate: 500 users over 48 months at roughly $200 per user per month, the blended all-in rate enterprises are trending toward as seat licenses stack with metered agentic usage. Across businesses running AI, token usage rose about 1,000% and total spend nearly 500% between early 2025 and 2026, even as per-token prices fell. Cognetryx is infrastructure-only, with no per-seat or per-token fees, and runs more than two times lower in total cost of ownership over the same period.

Replace Multiple Subscriptions with One Deployment

The real savings aren't just in token costs. They're in the overhead that disappears when you stop running 14 separate tools.

💬

One Conversational Interface

Document Q&A, knowledge retrieval, policy lookup, and research in a single interface your whole organization can use. No per-seat license per tool.

🤖

Agentic Workflows Included

Multi-step agent tasks — drafting reports, summarizing case files, generating output in Word or PowerPoint — run on the same infrastructure. No separate agentic platform subscription.

🔍

All Your Data in One Index

SharePoint, NetSuite, Salesforce, Confluence — ingested once, searched across simultaneously. No separate search license, no duplicate integrations, no data siloed by tool.

🛡️

One Security Review

Each new AI vendor is a new security review, a new BAA, a new compliance audit. A single locally-hosted deployment collapses that surface to one. Your security team does this once.

📋

One Audit Log

Every query, every document access, every agent action is logged in one place, under your control, in formats your auditors already recognize.

📈

Usage Doesn't Reprice You

The more your organization uses AI, the better the return on fixed infrastructure cost. Adoption is the goal, not a cost risk you're managing against a meter.

See What the Numbers Look Like for Your Organization

We'll run a cost comparison based on your headcount, current AI spend, and use cases. No commitment required.