Stop paying for AI code review noise.
Most AI code review tools comment on every pull request, whether the code needs the comment or not. Your engineers learn to skim past the noise, and the dollar cost of producing those comments still shows up on your invoice every month. Nocturne measures how much of that invoice is waste, shows you the number, and then reduces your bill by roughly that amount. You pay us a flat base fee plus a share of the measured savings.
The problem Nocturne solves
If your engineering org is paying for AI code review today, a large share of that bill is spend on comments nobody acts on. Copilot review, Cursor, Greptile, CodeRabbit, Sourcery, internal tools built on the OpenAI or Anthropic APIs. Every one of those tools produces a lot of output. A large fraction of that output is noise: false positives, speculative concerns, reviews your engineers have learned to ignore.
You are paying full price per API call regardless of whether the review was useful. Your engineers are paying attention cost every time one of those comments interrupts them. Both numbers show up on your books.
Nocturne does not compete with any of those tools. Nocturne is the layer that makes your existing AI review spend stop burning on noise. We measure exactly how much of your current bill is waste, deliver that number in writing, deploy Nocturne inside your private cloud to replace the noisy tool with a quiet one, and report your measured monthly savings every single month.
The two-for-one effect
There is a second benefit beyond the cost reduction, and clients consistently rate it as the bigger one once they experience it. Nocturne's reviews are also higher quality than what off-the-shelf AI tools produce on the same input. More grounded. More specific. More aligned with what your team actually wants to flag. Less filler, fewer speculative concerns, fewer hallucinated findings.
The plain version: you do not just pay less for AI code review. You also get better AI code review. The same client pays a smaller monthly bill AND watches their engineers stop ignoring the comments.
This is the dimension that turns a finance-team yes (which is all about cost) into an engineering-team yes (which is all about quality). Nocturne is the first AI review tool that improves both numbers at the same time, which is why it is increasingly being treated as infrastructure rather than as a vendor in the AI tooling category.
What Nocturne does, in three steps
Step 1: Assessment
We analyze your current AI review tool's usage: your monthly invoice, your pull request volume, and a sample of recent reviews. We produce a written assessment with a specific dollar figure:
"Your current tool is costing you $X/month. Roughly $Y/month of that is being spent on reviews that your team ignores, dismisses, or flags as false. Here is the math."
You receive this report at the end of week one, before you commit to anything beyond the pilot fee. If the math looks wrong, you can walk away and keep the report as a free audit of your current vendor.
Step 2: Explanation
We walk you and your finance team through the math. The waste is measurable, line-item specific, and tied to a real invoice you pay every month. We do not ask your finance team to accept a benchmark or a capability claim. We ask them to accept arithmetic that runs against their own vendor's billing.
Step 3: Reduction
We deploy Nocturne inside your private cloud tenant. Nocturne runs on your own compute, reviewing your pull requests directly. Once Nocturne is producing reviews your engineers trust, you downgrade or cancel your noisy AI review tool. Your monthly bill drops by roughly the amount we predicted in Step 1. We report the measured savings every month for as long as you remain a client.
That is the entire service. There is no AI strategy consulting, no architecture advisory, no general code review, no custom model fine-tuning. The value proposition is a smaller monthly invoice, verified every month.
Deployment: how easy it is in every environment
Nocturne runs inside your own private cloud tenant. Your code never leaves your network. There is no external API we operate. There is no shared cloud component. From a compliance standpoint, Nocturne is a local-compute tool that we operate remotely.
Deployment is standardized and quick in every supported environment. In every case, the only access we require is enough for us to provision and manage a single compute instance and the network path from that instance to your git host.
| Environment | Setup time | What we need from you |
|---|---|---|
| AWS | ~4 hours | IAM role with EC2 and VPC permissions (scoped), a target region, and git host access. We provision and manage a single EC2 instance in your account. |
| Azure | ~4 hours | A service principal, a resource group, and a target region. We provision and manage a single VM in your subscription. |
| GCP | ~4 hours | A service account with Compute Engine permissions, a target project, and a target region. We provision and manage a single Compute Engine instance. |
| On-prem (Linux) | ~6 hours | SSH access to a server with a modern GPU (16 GB VRAM minimum) and a network path to your git host. We install directly on the server you designate. |
| Air-gapped / regulated | ~8 hours | A pre-provisioned host inside the air gap, a one-time inbound of the Nocturne install package, and a read-only escort for the installation window. |
Recurring operational cost to the client: effectively zero. Nocturne runs as a single long-lived compute instance with light GPU utilization. On AWS, a suitable instance runs roughly $150 to $300 per month depending on region and reservation. On-prem, you use hardware you already have. On Azure and GCP the costs are similar to AWS. The compute cost is already orders of magnitude smaller than either your current AI tool's monthly bill or Nocturne's monthly service fee.
What your engineers experience: pull requests get reviewed, concerns get flagged with specific evidence, and the review tool stays quiet when there is nothing grounded to flag. From the developer's point of view, Nocturne is a quiet second reviewer that comments on pull requests only when it has something specific and verifiable to say.
Pricing
All pricing is in USD. The pricing model is a low flat base fee plus a performance share on measured monthly savings. The flat fee covers our operational floor (deployment, infrastructure, monthly reporting). The performance share captures the upside and means we only make real money when you save real money.
| Tier | Flat base fee | Performance share | Team size |
|---|---|---|---|
| Pilot (30 days) | $2,500 one-time | None | Any size |
| Standard | $2,000/month | 20% of measured monthly savings | Up to 50 engineers |
| Growth | $4,500/month | 20% of measured monthly savings | 51 to 200 engineers |
| Enterprise | $9,000/month | 20% of measured monthly savings | 200+ engineers |
Calculation basis. Each monthly savings report produces a single measured number representing the dollar value you reclaimed that month compared to your pre-Nocturne baseline. 20% of that number is billed alongside the next month's flat fee. If a given month's measured savings fall to zero, the performance share for that month is zero and you only owe the flat base fee. You never pay us for savings that did not actually happen.
Worked examples
- 50-engineer team, measured savings of $6,000/month. Flat base $2,000 + performance share $1,200 = $3,200/month total. Client keeps $2,800/month (47% of the savings).
- 150-engineer team, measured savings of $18,000/month. Flat base $4,500 + performance share $3,600 = $8,100/month total. Client keeps $9,900/month (55% of the savings).
- 300-engineer team, measured savings of $50,000/month. Flat base $9,000 + performance share $10,000 = $19,000/month total. Client keeps $31,000/month (62% of the savings).
Annual prepay discount: 15% off the flat base fee when paid annually in advance. The performance share is always billed monthly in arrears so both sides see the measured number before it becomes a charge.
The floor that protects clients: if the month-1 assessment projects savings at or below the monthly flat fee, we do not offer the ongoing contract. You pay the pilot fee, you keep the assessment report as a free diagnostic of your current tool, and we part as friends. We only run contracts where the client is clearly ahead.
Commitment structure
For the first three clients (the proof clients)
12-month minimum with a 30-day early-termination clause. If the month-1 measured savings come in below an agreed threshold, the client exits at the end of month 1 with no further obligation.
For clients four and beyond
24-month minimum becomes the default. By then we have three documented case studies showing measured savings in months one through six for prior clients at similar team sizes. The 24-month term earns a 10% discount on the monthly base fee compared to the 12-month baseline.
What you own and what we own
What the client owns
- All of your code. Obviously. The code never leaves your environment.
- Your verdict log. The record of "yes / no / unknown" responses your engineers give to Nocturne's reviews is yours and remains in your environment.
- Your assessment report and monthly savings reports. Yours to keep, share with leadership, or publish internally.
- The right to stop the service at renewal time. No retention games, no hidden auto-renewal on worse terms.
What we own
- Nocturne itself. The service and everything that makes it produce the measured savings is our proprietary IP. Client contracts explicitly protect this IP and violation terminates the contract.
- Our methodology. How we run the assessment, how we build and tune the service, and how we interpret the numbers is proprietary and does not transfer to clients under any tier.
- Anonymized cross-client metrics. Aggregated performance metrics across all clients are used to improve the service for everyone. No client-identifying data ever appears in the aggregate.
What happens at the end of a contract
If a client chooses not to renew, Nocturne is uninstalled from the client tenant at the end of the final billing month. The client keeps their verdict log, their assessment, and their savings reports. Nocturne itself departs with us.
What makes this different from every other AI tooling pitch
- The pitch is a measured dollar figure, not a benchmark. Every AI product being pitched to you leads with capability claims. Nocturne leads with a specific line-item reduction on an invoice you already pay.
- Your downside during the pilot is capped at $2,500. If the measured savings do not clear the threshold, you exit and keep the assessment report as a free audit of your current AI tool's noise rate.
- Your code never leaves your environment. Nocturne runs inside your own private cloud tenant. Suitable for regulated industries, air-gapped environments, and organizations with strict IP protection requirements.
- The incentives are aligned by construction. We only keep the contract if we keep producing measurable savings that justify the monthly fee. A bad month for Nocturne is a cancellation risk for us, which is the correct incentive for a service whose value is continuous delivery.
- Nocturne is infrastructure, not a bet on an AI tool. You are not buying into any specific model, vendor, or technology direction. You are buying a measurable reduction in waste on the tools you already pay for.
- The scope is deliberately narrow. We deploy Nocturne and we report your savings. We do not do AI strategy, architecture advisory, general code review, or custom model fine-tuning. Narrowness is the reason we can deliver reliably and predictably.
Who runs this
Nocturne is built and operated by Spike (GitHub: @spik3erickson) under the GPOut Labs vendor umbrella.
Spike is a solo engineer with a systems-design background. Nocturne was built in response to direct personal frustration with the noise level of commercial AI review tools.
How to start a conversation
Open a GitHub issue at the Nocturne contact queue with the title:
"Managed service inquiry: [your organization]"
Include in the issue body:
- Your organization, your role, and roughly how many engineers you have
- What AI code review tooling you currently use and your rough monthly spend on it
- A rough estimate of how many pull requests per week flow through that tooling
- Any compliance constraints on where code can run (regulated industry, air-gapped, etc.)
- Which tier you think fits your team
We respond to every well-formed inquiry within three business days. The next step is a thirty-minute intro call to walk through the savings calculator with your numbers, confirm which tier fits, and agree on the month-1 savings threshold that protects your downside during the pilot.
If the intro call ends with "yes, let's run the assessment," we sign a two-page agreement and the pilot begins the following week. The first measured savings report is in your hands thirty days later.
Start a conversation
Run the self-serve worksheet, book a thirty-minute intro call, or read the deployment guide your security team will want to see first.