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ITECS

Private AI Servers for Agents That Stay in Your Network

A private AI server runs custom agents on local language models, on data-center class GPUs inside your own network, so the data the agent reads stays on premises. ITECS sizes the server, sources it through distribution, sets up the inference stack, builds the agent, and patches and monitors it under Agent Operations.

Who evaluates
CFO, CIO, IT director, and buyers under data-residency or regulatory pressure
Runs in
A server with data-center class GPUs inside your network
Connects to
Your systems, with the data staying on premises
Typical first engagement
An AI Blueprint and a sizing call for the server

Deployment patterns

Three ways to run an agent

Local AI Agents

Where it runs
The employee's own Claude, Codex, or Copilot seat. No server.
Who evaluates it
Department heads and the employees who will build
What it connects to
Files and systems that employee can already reach
Typical first engagement
A Guided Build Sprint or a Local Agent Sprint

Hosted AI Agents

Where it runs
A governed Linux environment ITECS operates, on frontier models
Who evaluates it
COO, CFO, and operations leadership, with IT reviewing
What it connects to
ERP, CRM, finance, and document systems through controlled integrations
Typical first engagement
An AI Blueprint, credited toward the build

Private AI Servers

Where it runs
A server with data-center class GPUs inside your network, on local models
Who evaluates it
CFO, CIO, IT director, and regulated buyers
What it connects to
The same systems, with the data staying on premises
Typical first engagement
An AI Blueprint and a sizing call for the server

Private AI Servers

What ITECS delivers

The same agent build ladder as a hosted agent, on hardware that sits behind your firewall.

Sizing
A sizing call that maps users, workloads, and model class to a server tier.
Procurement
Server procurement through distribution. Hardware is quoted after the sizing call.
Inference stack
The GPU inference stack, set up and secured inside your network.
Model selection
Local models selected and evaluated against the workflow before production.
Agent build
The same AI Blueprint and build ladder as a hosted agent.
Operations
Patching and monitoring of the server and the agents under Agent Operations.

Fit

When a private server is the right answer

Right when

  • The data the agent reads cannot leave your network
  • Cost needs to stay predictable at high volume
  • The workload is regulated or contractually bound to stay on premises

Usually not when

  • A small team with light or bursty use
  • A workflow that needs the newest frontier model

Server tiers

Four tiers by users and model class

Each tier runs on data-center class GPUs. Hardware is quoted after a sizing call; the tiers show user counts and model class only.

Private AI server tiers by client size, concurrent users and model class
StarterClient size5 to 25 usersConcurrent users5 to 15Model class7B to 8B models
ProfessionalClient size25 to 75 usersConcurrent users15 to 50Model class30B class, or 70B quantized
BusinessClient size75 to 200 usersConcurrent users50 to 150Model class70B class, multi-model serving
EnterpriseClient size200 to 500 usersConcurrent users150 to 300Model class70B full precision, long context

Security

Inside your firewall, under your controls

  • Runs behind your firewall, inside your network
  • Integrates with your managed detection and response (MDR) monitoring
  • Client data is not sent to a model provider and is not used to train models

Pricing

The agent build ladder

The AI Blueprint sets the actual build rung and its fixed-fee not-to-exceed. The rows below show the typical path and the catalog range for each step.

  1. FirstAI BlueprintAgent Discovery & Technical Specification. Credited toward the build.$4,500–$7,500
  2. Prove itProof of Concept / PrototypeA bounded prototype that proves technical feasibility and workflow fit before a production commitment.$8,000–$18,000
  3. One workflowSingle-Workflow Production AgentA production agent for one primary workflow, deployed with documentation, human-in-the-loop review, and staff handoff.$18,000–$35,000
  4. Line of businessIntegrated / Line-of-Business AgentA line-of-business production agent for multi-source ingestion, reconciliation, audit trails, validation, exception handling, and reviewer workflows.$35,000–$75,000
  5. Multi-agentMulti-Agent System / Process RedesignAn orchestrated multi-agent system or end-to-end redesign of a major workflow with integrations, monitoring, and rollout enablement.$55,000–$120,000
  6. After launchAgent Operations, one production agent$2,500/mo

Prices from the published AI pricing catalog. Server hardware is quoted after a sizing call and is not part of these prices.

Example agents

Designs that suit Private AI Servers

Each is a starting design. An AI Blueprint adapts it to your goals and the systems it will connect to.

  • PPV Agent

    Explains whether you are paying what you expected, why purchase price variance moved, and what exposure comes next.

    • Manufacturing
    • Finance
    • Hosted AI Agents
    • Private AI Servers
  • Quality & Traceability

    Connects quality records, lot history, supplier data, and customer claims into earlier warnings and faster investigations.

    • Manufacturing
    • Operations
    • Hosted AI Agents
    • Private AI Servers
  • Predictive Maintenance

    Turns machine, maintenance, production, and quality signals into downtime risk plant leaders can act on before a line loses capacity.

    • Manufacturing
    • Operations
    • Hosted AI Agents
    • Private AI Servers
  • Contract Pass-Through Recovery

    Finds pricing clauses, escalators, rebate terms, and pass-through opportunities across customer and supplier agreements.

    • Manufacturing
    • Finance
    • Hosted AI Agents
    • Private AI Servers
  • Vendor Payment Anomaly Detection

    Detects duplicate payments, vendor master drift, and invoice anomalies before they become close or audit problems.

    • Manufacturing
    • Finance
    • Hosted AI Agents
    • Private AI Servers
  • Field Examination Analyzer

    Produces the standard working-capital exam and a first-draft report from borrower data, so examiners move straight to findings.

    • Financial Services
    • Finance
    • Hosted AI Agents
    • Private AI Servers
  • Portfolio Monitoring & Covenant

    Turns periodic borrower reporting into continuous covenant and collateral monitoring, with every alert traceable to its source.

    • Financial Services
    • Finance
    • Hosted AI Agents
    • Private AI Servers
  • Company Knowledge Agent

    Answers questions from approved company knowledge with citations, and keeps SOPs and runbooks current under human review.

    • All industries
    • Knowledge
    • Local AI Agents
    • Hosted AI Agents
    • Private AI Servers
  • Pre-Bill Review Agent

    Checks proforma time entries against each client's billing guidelines and rate letters, and drafts fixes for the timekeeper and billing partner to approve before release.

    • Legal
    • Finance
    • Hosted AI Agents
    • Private AI Servers
  • Matter Intake & Conflicts Agent

    Normalizes party and affiliate names from intake forms and email, runs them against the conflicts database, and drafts the hit memo for the conflicts attorney.

    • Legal
    • Front office
    • Hosted AI Agents
    • Private AI Servers
  • Contract Clause Review Agent

    Extracts key clauses from an inbound draft, applies the firm's or client's playbook positions, and proposes redlines with clause-level reasons the responsible attorney accepts or rejects.

    • Legal
    • Knowledge
    • Private AI Servers
    • Hosted AI Agents
    • Local AI Agents
  • Tax Return Readiness Agent

    Checks each client's uploads against last year's return and the organizer, tracks expected K-1s, and drafts the missing-items request for staff approval before a preparer starts.

    • Accounting
    • Front office
    • Hosted AI Agents
    • Private AI Servers
  • WIP & Change-Order Agent

    Reconciles job cost, commitments, and pay applications into a traced monthly WIP, and finds performed change work that was never billed, for the PM, controller, and CFO to approve.

    • Construction
    • Finance
    • Hosted AI Agents
    • Private AI Servers
  • Prior Authorization & Denial Agent

    Verifies coverage before the visit, checks prior-authorization requirements, assembles cited payer packets, and ranks and drafts denial appeals, for staff and clinicians to approve.

    • Healthcare
    • Operations
    • Hosted AI Agents
    • Private AI Servers
  • Referral & Fax Intake Agent

    Classifies inbound faxes and portal documents, matches each to the patient and the right worklist, and flags urgent items for staff.

    • Healthcare
    • Front office
    • Hosted AI Agents
    • Private AI Servers
  • Joint-Interest Cost Agent

    Checks field tickets and vendor invoices against MSA rates, AFEs, the JOA, and the field record before the JIB goes out, and routes each exception with its evidence to the JIB accountant.

    • Oil and Gas
    • Finance
    • Hosted AI Agents
    • Private AI Servers
  • Production Report Agent

    Checks Form PR data for lease IDs, operator of record, and volume reasonableness before the deadline, and hands a reviewer-ready exception list to the person who files in RRC Online.

    • Oil and Gas
    • Operations
    • Hosted AI Agents
    • Private AI Servers
See every example design

FAQ

Private AI Servers FAQ

When is a private AI server the right answer?

When the data cannot leave your network, when cost needs to stay predictable at high volume, or when the workload is regulated. For small teams, bursty use, or a need for the newest frontier model, a hosted agent usually fits better.

How is the hardware priced?

Hardware is quoted after a sizing call. The site publishes the server tiers by user count and model class only; the agent build follows the published AI Blueprint and build ladder.

Which models run on a private server?

Local language models in the class each tier supports, selected and evaluated against your workflow during the AI Blueprint. The tier table shows the model class each server tier is sized for.

Who maintains the server?

ITECS patches and monitors the server and the agents on it under Agent Operations, the same operating model as a hosted agent.

Can a private server support regulated workloads?

Regulated work such as HIPAA or CMMC/CUI is custom-scoped, with the compliance framework governing the architecture. Standard packages do not apply to those engagements.

Start with an AI Blueprint

The AI Blueprint reviews your workflow, data sources and integrations, specifies the architecture and the human-review model, and ends with a fixed-fee not-to-exceed for the build.