A digital twin is not one thing. It is a ladder of fidelity, from a measurable 3D replica to a live, self-updating mirror of your facility. Five levels, published prices, and a benchmark against every alternative on each rung.
Each level is a real jump in depth. The calibration bar shows fidelity, and the note shows the alternative that rung replaces. We also mark each level honestly against the standard taxonomy — model, shadow, or twin — because most of this industry does not. What those three words mean.
L1
Model
Geometric replica
A photo you can measure.
Taxonomy · Digital model
A geometry-accurate 3D twin of one room or system, built from a scan, CAD, or point cloud. Walk it, measure it, share it. No behavior and no live data yet, but a scientifically annotated foundation the higher levels build on.
Replaces a bare 3D scan (e.g. Matterport) — but annotated and simulation-ready
$2,500–5,000
+ hosting, 1 / 3 / 5 yr
L2
Inform
Instrumented asset twin
The lab, fully catalogued.
Taxonomy · Digital model
Every instrument, material, and sensor mapped with specifications and metadata into a queryable asset twin. It still does not run experiments, but it becomes the single documented source of truth for the facility.
Replaces a DIY asset platform (Azure, AWS, Bentley) — delivered, not self-built
$8,000–12,000
+ $500/mo Twin Care
L3
Predict
Simulation-ready twin
Core pilot
Test the protocol before the bench.
Taxonomy · Digital model
Run experiments and robotics workflows — ground, aquatic, and aerial — virtually. Test scenarios and parameters against physics, with validated physical-to-virtual loops and documented accuracy limits. This is the standard pilot.
A shadow once you connect it to live instrument data.
Replaces build-it-yourself Omniverse or Ansys — without hiring a simulation team
$12,000 pilot
$25,000+ full facility
L4
Prescribe
Optimization twin
It finds the best configuration.
Taxonomy · Digital shadow
Automated scenario optimization: best equipment layout, optimal robot paths, procurement planning, and throughput or expansion planning with cost, energy, and space trade-offs solved rather than only displayed.
A shadow when fed live data; still a model if you feed it by hand.
Replaces a six-figure enterprise suite (Siemens, Dassault) — at a fraction of the cost
$35,000–75,000
+ $30–60k/yr
L5
Living
Living twin
A living mirror that stays true.
Taxonomy · Digital twin
Live-connected to the real facility through sensor and equipment telemetry, continuously synced and revalidated, with drift alerts, closed-loop feedback, and multi-facility fleet views. OpenUSD and Omniverse-ready when a project requires it.
A true digital twin only where the feedback actuates. Scoped to alert a human instead? Then it is a digital shadow, and we will call it one.
Replaces a bespoke consultancy build
from $80,000
+ $75–150k/yr
Level 1 hosting
Bundled, not billed monthly
Hosting is bundled into the build as a prepaid term, not billed monthly. It covers the hosted twin, annotation and asset metadata, revisions as the room changes, and the data model the higher levels build on.
Five years of hosting costs three years’ money. Prepay the term that matches the life of the space.
1 year
$1,200
$1,200/yr
Best value
3 years
$2,400
$800/yr
Save $1,200
5 years
$3,600
$720/yr
Save $2,400
Twin Care · Levels 2 to 5
Prepay the support line, lock the rate
Every build above Level 1 carries a recurring Twin Care line: revalidation as the facility changes, model upkeep, and support. Prepay it and the rate is fixed for the term, so a renewal increase cannot reach you mid-project.
1 year
List price
Billed annually. Renews at the then-current rate.
Most chosen
3 years
Save 15%
Prepaid. Rate locked for the term, so a renewal increase cannot reach you.
5 years
Save 25%
Prepaid. Rate locked for the term. Best fit for a facility with a capital budget.
Worked example · Twin Care at $500/mo, the Level 2 and Level 3 rate
Term
At list
You pay
Effective
1 year
$6,000
$6,000
$6,000/yr
3 years
$18,000
$15,300
$5,100/yr
5 years
$30,000
$22,500
$4,500/yr
The same 15% and 25% apply to the Level 4 and Level 5 annual figures once your scope fixes them.
Packaged plans
Four ways to start
The ladder rolls up into four plans. Every plan credits the assessment into the build. No per-user, per-prediction, or per-API charge.
Checked against the only lab benchmark that exists
NIST puts a high-tech factory or laboratory digital twin at $1.70–$2.40 per square foot, with a 9-year payback. Levels 2 through 4 land on that figure. We are not undercutting the market. We are meeting it, without the enterprise licence on top.
Lab size
NIST rate implies
Our tier
Our price
5,000 sq ft
$8,500 – $12,000
L2
$8,000–12,000
10,000 sq ft
$17,000 – $24,000
L3 full facility
$25,000+
25,000 sq ft
$42,500 – $60,000
L4
$35,000–75,000
Source: Douglas Thomas, Economics of Digital Twins: Costs, Benefits, and Economic Decision Making. NIST Advanced Manufacturing Series 100-61, October 2024. https://doi.org/10.6028/NIST.AMS.100-61 — Table 5.1, “High-Tech Factory or Laboratory”. NIST published this in October 2024; the underlying cost survey is from 2022. Directionally sound, not a 2026 quote.
Benchmark
What everyone else charges
Every figure below is sourced or marked as unavailable. The platforms that publish sell you a platform, not a twin — you still supply the integration team. The suites that would sell you a twin will not tell you what it costs.
Vendor
What you actually get
Price
Source
Microsoft Azure Digital Twins
Platform, metered. You bring the integration team.
$1.00 / million messages · $2.50 / million operations
$0.50–$2.10 / sq ft · up to $10 / sq ft for dense MEP
Reported
Big-4 consultancy
A digital twin program, six to eighteen months, with a team.
$300–$600 / hour · $5,000–$8,000 / day senior
Reported
Siemens · Dassault · Ansys · PTC · Körber
Enterprise simulation and twin suites, plus the specialists to run them.
No published price. Quote only.
Quote only
Every LIMS and ELN vendor
Lab platforms that market "digital twin" features.
No published price. Quote only.
Quote only
Prices verified July 2026. “Reported” figures come from third-party rate cards and are indicative, not quotes. We do not cite the unsourced “digital twins cost $10K to $500K” ranges that circulate on vendor blogs, because they have no methodology behind them.
The consultancy comparison
$75,000 buys 125 to 250 hours of Big-4 time — three to six weeks of one consultant.
A real digital twin program runs six to eighteen months with a team. Our L4 delivers a finished optimization twin for what a discovery phase costs.
Questions
Common questions
Why do you publish prices when nobody else does?
Because we can. Siemens, Dassault, Ansys, PTC, and every LIMS vendor are quote-only. The platforms that do publish — Azure, AWS, Bentley, Autodesk, Matterport — sell you a platform, not a laboratory twin. As far as we can find, no one publishes a price for a lab digital twin. We would rather be first than be coy.
Are these prices in line with the market?
NIST puts a high-tech factory or laboratory digital twin at $1.70–$2.40 per square foot (NIST Advanced Manufacturing Series 100-61, October 2024). Levels 2 through 4 land on that figure for labs between 5,000 and 25,000 square feet. We are not undercutting the market. We are meeting it, without the enterprise licence on top.
Can I prepay the recurring line?
Yes, and it is usually the better deal. Level 1 hosting is sold only as a prepaid term of one, three, or five years, bundled into the build rather than billed monthly. Twin Care on Levels 2 through 5 can be prepaid at 15% off for three years or 25% off for five, and prepaying locks your rate for the term so a renewal increase cannot reach you mid-project.
Which level do most projects start at?
Most facilities start with an Assessment, then a Level 3 pilot for one defined room, system, robot, or workflow. Levels 1 and 2 suit teams that want a documented, measurable model first, and Levels 4 and 5 are expansions once the pilot proves the approach.
Is a Level 5 twin really a digital twin?
Only where the feedback actuates. If your Level 5 is scoped to raise drift alerts for a human to act on, it is a digital shadow, and we will call it one. The distinction is a governance decision as much as an engineering one, and we settle it in discovery rather than in the invoice.
Can you work from scans or CAD files?
Yes. Projects can start from point clouds, E57 files, OBJ files, CAD, floor plans, instrument details, photos, and operating procedures. The intake plan depends on the required fidelity and validation goals.
Do you support NVIDIA Omniverse?
We can scope OpenUSD-ready and NVIDIA Omniverse-compatible deliverables when a project requires that environment. Omniverse itself has been free for production use since May 2026, so it is not a cost driver — the simulation engineers are. The exact toolchain is confirmed during discovery.
How accurate is the simulation?
Accuracy depends on the use case, available physical data, and required fidelity. We define acceptance criteria early, then validate the model against physical observations for the scenarios that matter.
Can this support government or university RFPs?
Yes. ConductScience can provide capability statements, technical approach language, and scoped service plans for digital twin, simulation, and validation procurements.
Start here
Tell us what you need to test
Send us the space, system, or workflow you want to simulate. We help define the scope, fidelity level, validation plan, and delivery path, then return a fixed pilot scope.
Describe the physical space or system
Share the decision the model must support
Note any scans, CAD, logs, or test data already available