Frontier-class engineering, on local models that cost nothing per token.
We built a production, multi-state regulated LIMS that a traditional shop quotes at ~$1.8M over 18 months. One operator shipped it in roughly 10 weeks.
On paid frontier models, the metered bill for that build came to about $50,000. NodePlus runs the same engineering on 100% local models, scoring 66.6% on SWE-bench Pro, with $0 spent on tokens and no third-party AI provider ever seeing the code.
This is a real system in daily use, not a weekend prototype.
The comparison only means something if the thing being built is hard. This one is: a regulated LIMS is the kind of system that normally takes a funded team a year and a half.
A regulated LIMS, not a demo
A production laboratory information management system running a real, multi-state cannabis testing operation. Live, in daily use, generating compliant certificates of analysis.
Methods, workflows, and a computation engine
Configurable test methods and analyst workflows, plus a computation-function engine that resolves analyte formulas, internal standards, and cross-row results at runtime.
Compliance across many states
Action limits, test panels, and reporting rules that differ by jurisdiction, enforced in software so a sample is checked against the right state every time.
Multi-tenant, secured at the row
Postgres with row-level security so each lab and tenant sees only its own data, with audit-grade history behind regulated results.
Low cost only matters if the work is good. It is.
NodePlus scores 66.6% on SWE-bench Pro, a benchmark of real software-engineering tasks. It is the highest result you can run without paying for a single token, and it outscores most paid frontier APIs on the public board.
One build. Three ways to pay for it.
The same regulated LIMS, costed as a traditional engineering contract, as a paid-frontier-model build, and on NodePlus. The quality holds; the bill does not.
Human figure: representative estimate for a comparable enterprise LIMS built by a traditional engineering team, not a received quote. Paid-model figure: measured frontier-model API spend by one operator over the build window, rounded down. Quality figure from run pro_731_v2 on the public SWE-bench Pro benchmark.
Roughly 1/36th the cost of a traditional build, then $0 per token on top.
Frontier models already collapsed an $1.8M contract to about $50K. NodePlus removes the metered bill entirely and keeps the code on local hardware.
The lowest-cost build is also the one that never leaves your four walls.
Every line of this LIMS was written by local models that NodePlus operates. For regulated labs, financial services, and compliance-heavy operations, that means proprietary code and customer data are never sent to a third-party AI provider, and costs do not scale with usage.
You get a build that outscores most paid frontier APIs, with no third-party model in the loop, at a fixed and predictable cost.
Software your team needs, built in weeks instead of quarters, on a benchmark-proven coding engine.
A build that outscores most paid frontier APIs, with no per-token cost.
Your source code, prompts, and context are never sent to a third-party AI provider.
Predictable, fixed cost: the bill does not grow every time the team ships.
See what NodePlus would build for you, and what it would cost
We brought a real, regulated LIMS from quote to production on local models, with no tokens purchased. Book a briefing and we will scope your build the same way.