Consultant-grade AI prioritisation for discrete and process manufacturers - OT integration complexity, brownfield weighting, and 10 factory-specific use cases.
Private Network Site Survey Readiness Checklist for Manufacturing
Before commissioning an RF survey or engaging a deployment partner, confirm your site is ready. This tool diagnoses your readiness across six domains, flags information gaps and deployment blockers, and generates a manufacturing-specific site survey checklist, required documents list, and field validation sequence.
Transparent 5-year financial model for private LTE or 5G in manufacturing - 8 use cases, industry deployment benchmarks, annual cashflow, and full methodology disclosure.
25+ continuously updated decision cards covering factory automation, robotics, IIoT, and Industry 4.0 strategies backed by real evidence from global private network deployments.
Select from 5 use cases — AMR, Cobots, AR, predictive maintenance — and enter factory revenue and headcount. Returns 5-year ROI and payback period. Based on Ericsson/Hexagon/ADL study.
Security and Asset Management on Cellular Networks
This assessment helps you evaluate your organization's current visibility, control, and security posture across cellular-connected OT and IoT devices. Answer questions about your current visibility and controls - we'll benchmark your maturity and flag your most urgent security gap. Select the option that most accurately describes your current state, not your aspirational state.
17 questions across region, vertical, devices, spectrum, and commercial model - returns a consultant-grade technology recommendation with rationale and vendor guidance.
15 questions to determine the right deployment architecture - SNPN, enterprise RAN, managed breakout, or hybrid - with responsibility matrix and vendor engagement sequence.
Translate your operational use cases into precise technical SLA requirements - latency, jitter, throughput, availability, QoS class, handover, redundancy, and spectrum implications. Built for enterprise architects, OT/IT teams, and procurement teams specifying private network requirements.
Get a planning-grade estimate of how many radios your private network deployment will likely require - and whether coverage or capacity is the binding constraint. Produces a range based on your site area, environment complexity, spectrum band, device mix, and use case profile. Useful for budget sizing and vendor conversations before formal RF design.
Generate a structured, weighted vendor evaluation framework for your private network procurement. Calibrated to your vertical, use cases, architecture, compliance requirements, and procurement priorities. Produces a weighted scorecard, vendor question bank, red flags, required proof points, and evaluation process guide.
Independent 5-year TCO comparison for enterprise wireless networks, covering hardware, installation, spectrum, management, and operating costs across Wi-Fi, CBRS, private LTE, and private 5G. Built on TeckNexus intelligence, published research, deployment benchmarks, and region-specific cost assumptions. Calibrated by region, site type, and deployment environment.
AI Data Center Interconnect (DCI) Bandwidth Planner
See what scale-up and scale-out network bandwidth an AI deployment actually demands — before the RFP gets written. Based on publicly published accelerator interconnect generations and distributed-training traffic patterns.
How resilient is your network against today's threat landscape - signalling protocol attacks, AI-weaponised social engineering, ransomware, inter-roaming exploits, and 5G-specific vulnerabilities? This assessment benchmarks your security posture across five dimensions: threat awareness, network architecture, detection and response, AI and automation, and governance.
This assessment helps you benchmark where your organization stands on SIM provisioning, device lifecycle management, and operational readiness across your cellular network environment. Answer questions about your current provisioning and lifecycle process - we'll benchmark your maturity and show you exactly where automation would save the most time and cost. There are no right or wrong answers - select the option that best reflects your current state, not your target state.
Compare total cost of ownership across private wireless connectivity options. Input operational parameters to model TCO over a multi-year period and identify the lowest-cost architecture for your environment.
Side-by-side comparison tool for private wireless technology options - LTE, 5G, Wi-Fi, and CBRS - across key performance, cost, and operational dimensions to support technology selection decisions.
Deployment-backed analysis of CBRS total cost of ownership across multiple industries. Provides real-world ROI benchmarks from live CBRS deployments — useful for validating business cases and comparing against vendor estimates.
Quick-estimate tool for private 5G deployment costs. Input site size, device count, and coverage requirements to get an indicative infrastructure cost range - useful for early-stage budget planning.
Estimate the sustainability impact of deploying private wireless — including energy efficiency gains, carbon reduction, and ESG reporting metrics - across industrial and enterprise environments.
Model the total cost of ownership of deploying Celona's 5G LAN solution versus existing Wi-Fi or wired infrastructure. Useful for enterprise and industrial sites evaluating CBRS-based private 5G.
Search US licensed spectrum availability by frequency, geography, and licensee. Essential for US-based private network spectrum planning and CBRS/PAL availability checks.
Compare on-premises infrastructure costs against AWS cloud deployment. Useful for modelling edge AI and private network core cloud migration scenarios.
Model infrastructure costs for on-premises vs Azure cloud. Relevant for enterprises evaluating hybrid private network and AI workload deployments on Azure edge.
Use structured tools built from real deployment evidence to select technologies, prioritise use cases, and build the business case — without weeks of research or expensive consulting.
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A new 67-model study finds that when frontier AI models fail, they increasingly fail together — and that the routing and voting architectures enterprises pay a premium for don't reliably close that gap. For industrial buyers evaluating AI agent vendors, it's a reason to ask for evidence, not assume redundancy.
New enterprise research shows most AI agents fail with total confidence rather than visible doubt - and that automated testing is not catching it before deployment. For operators running AI agents alongside private networks in manufacturing, mining, ports, airports and utilities, that combination changes how agent-based tools should be evaluated and rolled out.
Apple's $30 billion Broadcom chip deal is the largest single commitment under its American Manufacturing Program to date - 15 billion+ US-made chips, a $1.5 billion Fort Collins expansion, and a supply agreement running through 2031. Here's what's actually in the deal and what it signals for wireless and telecom supply chains.
With GSA counting 2,003 private mobile network references, June 2026's story shifted from whether private cellular works to what it returns. This roundup covers TeckNexus's vertical ROI tools, 3GPP's confirmed 6G timeline, AI moving into the RF layer, CBRS SAS consolidation, and a widening set of verticals from mining to healthcare.
Private 5G became an industrial default in May 2026, with CBRS now the U.S. factory spectrum of record. This month's roundup spans deployments across manufacturing, ports, utilities, rail and defence — plus a deep utilities thread on grid AI and security — and what the shift means for buyers scoping spectrum, architecture and security.
T-Mobile CTO John Saw's 'kinetic token' framework describes how Physical AI — robots, autonomous vehicles, industrial automation — changes what networks must do. The public telco debate that followed misses the most immediate implication: industrial private 5G networks are already, structurally, kinetic token infrastructure.
Nokia and Google Cloud have embedded six Gemini-powered AI agents into Nokia's Assurance Center, promising to cut network fault-resolution times by 50–80%. The 'glass box' design keeps human engineers in the approval loop - a deliberate choice Nokia argues is why this generation of automation will stick where earlier approaches stalled.
Federated Wireless has launched Spectrum AI, a physical AI platform that applies continuous RF-layer modelling to shared spectrum networks, reporting up to 5x capacity gains without new spectrum or infrastructure. For private network buyers, it signals that radio planning assumptions long treated as fixed may have real headroom left to reclaim.
Most organisations evaluate private network vendors after the RFP - by which point it is too late to set objective criteria. The TeckNexus RFP Scorecard Generator builds your weighted evaluation framework before you issue the tender, so vendor proposals land against pre-defined, context-specific criteria.
Every major vendor now offers AI for manufacturing. The problem is not options - it is knowing which use cases to prioritise for your specific factory. The TeckNexus AI Use Case Prioritiser for Manufacturing scores your options across impact, feasibility, data readiness, and payback speed.
Frequently Asked Questions
About our tools, how they are built, and how to get involved.
TeckNexus Independent Tools
TeckNexus independent tools are assessments, selectors, ROI calculators, and AI prioritisation tools developed entirely by TeckNexus. The methodology, scoring logic, and outputs are owned by TeckNexus — no vendor funds, influences, or has visibility into individual results. They are free to complete. Accessing the full output and PDF report requires registration.
No. TeckNexus owns the methodology, scoring, and output logic for all independent tools. No vendor has paid to influence recommendations or results. If a vendor is referenced in an output — for example, as a category of solution — it is because the evidence supports it, not because of a commercial relationship.
Registration allows TeckNexus to generate and deliver a personalised PDF report, track your results if you return, and — with your permission — notify you of updated benchmarks or relevant intelligence. Registration is free. Your data is not shared with any vendor without your explicit consent.
Individual submission data is held by TeckNexus and not shared with any third party without your explicit consent. Aggregated and anonymised data may be used to produce industry benchmark reports. No personally identifiable information is included in any published output.
All tools labelled TeckNexus in the directory — including the Private Network Technology Selector, Private Network Architecture Selector, AI Use Case Prioritisers (Manufacturing, Mining, Ports, Airports, Utilities), and the Private Network ROI Calculators (Manufacturing, Mining). More tools are added regularly.
Co-Developed & Sponsored Tools
Co-developed tools are built by TeckNexus in partnership with an industry sponsor. The sponsor co-funds development and is clearly disclosed on the tool. TeckNexus owns the methodology, platform, and output logic — the sponsor does not influence scoring or results. These tools are free for users to complete.
Your contact details may be shared with the named sponsor — but only with your explicit consent at the point of form submission. Your results and individual response data are not shared. The consent step is clearly presented before submission.
No. Sponsorship funds the development and hosting of the tool — it does not influence the methodology, scoring, or outputs. TeckNexus retains full editorial control. Sponsored tools go through the same methodology review as independent tools.
Yes. TeckNexus works with vendors, operators, and industry bodies to co-develop tools that serve enterprise decision-makers. Use the partner enquiry form on this page to tell us what you have in mind — tool category, target vertical, and what you are trying to achieve. We will get back to you to discuss fit and next steps.
Third-Party Tools (Curated Directory)
Third-party tools are ROI calculators, TCO models, decision aids, and planning resources produced by vendors, operators, or industry bodies. They are included in the TeckNexus directory because they offer genuine utility to enterprise decision-makers — but they are clearly labelled as vendor-produced. TeckNexus curates the directory and does not endorse any individual tool or vendor.
Tools are assessed for relevance, utility, and credibility. We look for tools that offer meaningful input fields and substantive outputs — not marketing calculators with fixed results. Listing is not paid placement. Any vendor can submit a tool for consideration using the form on this page.
Standard directory listings are unpaid. TeckNexus does not accept payment to influence which third-party tools are listed or how they are described. Separate commercial arrangements exist for co-developed and sponsored tools, which are clearly labelled as such.
Use the tool submission form at the bottom of this page. You will need to provide tool details, vendor information, and confirm that you are authorised to submit on behalf of the organisation. TeckNexus reviews all submissions before listing.
Vertical Intelligence Platforms (Paid)
Each Vertical Intelligence Platform is a structured set of 25+ decision cards built from TeckNexus analysis of real enterprise private network deployments. They cover a specific industry — Manufacturing, Mining, Ports, Airports — and are organised into six sections: vertical overview, business priorities and use cases, private wireless strategy, proof and ecosystem, decision framework, and deployment readiness. They are updated continuously as new deployments emerge.
A subscription to one vertical gives you access to all 25+ decision cards for that industry, continuous updates as new deployments are analysed, and the ability to share access across your team. Each card is structured around a specific decision — use case selection, vendor shortlisting, deployment model, ROI prioritisation — so you can navigate directly to what you need.
A research report gives you a snapshot at a point in time. The Vertical Intelligence Platform is continuously updated and structured around decisions, not narrative. Instead of reading a 60-page PDF, you navigate directly to the card relevant to your current question — vendor selection, use case validation, deployment model — and get evidence-backed guidance without the research overhead.
No. Each vertical is subscribed to separately at $1,200 per year. This keeps pricing proportionate to what you actually need. If you require multiple verticals, contact us to discuss multi-vertical access.
Yes. Each vertical has a sample platform available — accessible from the tool cards on this page. The sample gives you a representative selection of decision cards so you can assess the depth and format before committing.
The platforms are built for enterprise technology and operations teams evaluating private network investment, vendors building go-to-market strategies for specific industries, and consultants or system integrators advising clients on deployment options. They are also used by telcos and managed service providers tracking enterprise buyer priorities by vertical.
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40+ independent tools to size networks, prioritize AI use cases, and model ROI — grounded in deployment evidence, across manufacturing, mining, ports, airports & utilities.
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