Task-first evaluator setup
Build an evaluator from your workflow, success criteria, docs, and a few examples, rather than starting with a labeled dataset.
Argmin AI
Freemium
Argmin AI helps teams evaluate AI features before release using workflows, rules, docs, and a few examples—without requiring an ML team or custom evaluation code.
What is Argmin AI?
Argmin AI is an AI evaluation product for teams that need to check whether an AI feature is still performing well before they ship changes. The page positions it as a way to turn your workflow, rules, documents, and a few examples into an evaluation, without needing an ML team or custom evaluation code.
The product centers on a calibrated evaluator that matches expert judgment. It starts from the task and success criteria, uses your docs and real cases, and then lets you review disagreements until the evaluator agrees with your team closely enough to run on every release. The homepage also shows the evaluator returning criterion-level scores and explanations instead of only a single score.
What can Argmin AI do?
Case discovery from real data
The product reads real cases to find gaps, edge cases, and risky answers so review effort is focused where it changes agreement.
Readable rubric design
Each rule is presented as a clear question on a scale, with examples for each level and business-specific criteria where needed.
Calibration against experts
The system compares the evaluator against expert answers, highlights sharp disagreements, and tightens the rule when you accept or reject a result.
Pre-release checks
The calibrated evaluator can be run as an endpoint before prompt, model, retrieval, or tool-call changes.
Use Cases
“Policy-bound customer workflows”
Check support, sales, or advice assistants against written policies so answers stay inside approved limits before they reach customers.
“High-stakes AI responses”
Add a quality gate for health, safety, or crisis-related outputs where one bad answer can create real harm.
“High-volume review”
Score large volumes of contracts, claims, tickets, or other cases with the same standard instead of relying on ad hoc review.
“Regression checks across releases”
Keep a single evaluation standard stable as prompts, models, retrieval, or tool calls change across releases.
“Rubric calibration with experts”
Use expert review to tighten a rubric when the right answer is nuanced, disputed, or depends on business-specific context.
Frequently Asked Questions
How do you set it up?
Argmin AI is built to turn your workflow, rules, docs, and a few examples into an evaluation that you can run before release. The source content does not show a separate setup flow beyond starting from the task, criteria, and documents.
Who is it for?
The homepage frames it for teams that need to evaluate AI features before they ship, especially when answers must follow written rules, be safe in high-stakes cases, or stay consistent at scale.
What does the output look like?
The product produces a calibrated evaluator with criterion-level scoring and a reason for each decision. The page also shows that outputs can be run as an endpoint before prompt, model, retrieval, or tool-call changes.
Does the site show pricing?
No pricing details are shown on the pricing page because the page returns a 404. The homepage does say the first evaluation is free and no credit card is required to start.
What integrations are supported?
The source does not list integrations with third-party tools or data sources beyond mentioning that it can sync a knowledge base and read docs, cases, and rules from the product flow.
Quick Facts
- Category
- AI Evaluation
- Platform
- Web app
- Primary users
- Product teams building AI features
- Source domain
- argminai.com
- Pricing
- First evaluation free; no credit card required to start
- Output
- Calibrated evaluator with scores and explanations
Argmin AI Traffic Analysis
Traffic data is for reference only.
- Monthly Visits
- 572
- Global Rank
- -
- User Bounce Rate
- 37.5%
- Avg. Visit Duration
- 00:00
- Pages per Visit
- 1.04
- Domain Rating
- 1
Traffic Trends
| Apr | 0 |
|---|---|
| May | 0 |
| Jun | 572 |
Traffic Sources
- Direct: 0.00%
- Search: 0.00%
- Referral: 0.00%
- Social: 0.00%
- Mail: 0.00%
- Display Ads: 0.00%
Top Regions
- Italy: 85.1%
- United States: 14.9%
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