We build the training data, evaluation models, and critique agents behind AI systems that generate charts. Licensed to model labs, chart libraries, BI vendors, and AI-native data products.
LLMs trained on the open web default to whatever they've seen most often — usually generic line, bar, or pie. They miss finance-canonical waterfalls. They misread data shapes. They scale axes deceptively. They produce charts that look fine to a generalist and embarrass an expert.
The gap exists because there's no training data that captures expert judgment on chart quality. Public datasets cover chart-type classification at best. Nothing captures the dense, opinionated, domain-specific knowledge that distinguishes an exec-grade chart from a default chart.
The pattern isn't random. It follows the contours of what training data does and doesn't cover. Charts have a high ceiling — domain conventions, perceptual rules, audience-fit — but a low and uneven floor in current models. Address the data, and the edge starts to smooth.
We're closing that gap.
The Chart Quality Dataset is our offering. Everything else — agents, engines, the public game — exists to produce it. We don't license the production stack. We license the output.
The first comprehensive corpus of expert judgment on chart quality, designed for fine-tuning and evaluation of AI systems that generate charts.
Three components produce the dataset in concert. Two stay internal — they're the IP that makes the asset uniquely ours to grow and update. One is public — it builds the community of expert judges.
If your product produces charts — directly, through an LLM, or through a customer's workflow — chart quality is your retention metric. We sell the asset that improves it.
| Buyer | Why they license |
|---|---|
| AI model labs | Improve multimodal chart capability without spending years building specialized training data. Anthropic, OpenAI, Google, Mistral. |
| Chart library companies | Ship AI-powered chart selection, review, and auto-fix as a premium tier. Highcharts, Plotly, AG Charts, ECharts, Vega. |
| BI & analytics platforms | Add chart-quality intelligence to existing copilot and agent features. Tableau Pulse, Sigma, ThoughtSpot, Power BI, Looker. |
| AI-native data products | Differentiate on output quality. Julius, Hex, Wren, Defog, Numbers Station. |
| Office productivity vendors | Embed chart intelligence in Excel, Sheets, Slides, and Acrobat AI features. Microsoft, Google, Adobe. |
| AI vertical operators | Domain-canonical chart generation without building chart logic in-house. AI CFO, AI marketing, AI sales, AI ops products. |
Not a general AI consultancy. Not a chart vendor. We do one thing: the data layer behind better AI-generated visualizations. That focus is the moat.
We license data, ship critique models, and partner with model labs and product companies that need to make AI better at charts. Talk to us.