Dashboard Builder

Describe it. We build it.

Type what you want to track in plain English. A swarm of specialized AI agents discovers your data, recommends the right visualization, and builds a production dashboard — in seconds, not sprints.

No SQL. No drag-and-drop. No configuration files.

Natural language

Real queries. Real dashboards.

From revenue tracking to weather patterns. Every query produces a production-ready dashboard.

“Show me our MRR growth vs churn rate over the last 12 months”

Line chart Dual axis

“Compare Bitcoin, Ethereum, and Solana price performance YTD”

Area chart Multi-series

“Track our API latency p95 and error rate in real time”

Live streaming Dual metric

“Break down our customer base by country and plan tier”

Treemap Grouped bar

“Show weather patterns affecting our farm yield in Iowa”

Composed Weather overlay

“Forecast our inventory needs for Q2 based on Q1 velocity”

Forecast Trend line

The pipeline

Agent swarm. Seconds.

Every query triggers a swarm of specialized agents. They work in parallel — discovering data, analyzing schemas, selecting charts, and assembling widgets. The result is a production-ready dashboard.

01

Intent Analysis

~0.2s

Your query is parsed into structured intent. The system identifies 9 intent types — compare, track over time, forecast, correlate, rank, aggregate, and more. Entities like currencies, metrics, and time ranges are extracted automatically.

02

Domain Classification

~0.1s

The classifier matches your query across data domains — finance, crypto, weather, health, sports, government, and beyond. Pattern matching against 169+ significant terms ensures accurate routing.

03

Data Source Discovery

~0.8s

The source ranker searches 80+ providers in a registry that grows with every query. Each is scored on reliability, rate limits, free tier availability, and data richness. The best match is selected and authenticated automatically.

04

Schema Analysis

~0.3s

The data parser inspects the API response structure. Time fields, numeric metrics, categorical labels, and nested objects are identified. Deeply nested JSON is flattened into chart-ready arrays.

05

Chart Recommendation

~0.2s

Based on data shape, the recommender selects from 27+ visualization types — or routes to rich entity cards for people, teams, and profiles. Time-series data gets line charts. Categorical comparisons get bars. Entity queries get image-rich cards with stats, bios, and action buttons.

06

Widget Generation

~0.1s

The full widget configuration is assembled — chart type, data bindings, axis labels, colors, patterns, and responsive breakpoints. Every widget is production-ready from the first render.

07

Live Preview

Real-time

The dashboard renders in real-time as agents work. Streaming responses mean you see progress, not a loading spinner. Override any choice with the visual editor.

For everyone. From anyone.

Business users describe what they need. Engineers control how it works. Same platform.

For business users

No coding required. Describe what matters to your business.

AI handles data discovery, visualization, and configuration.

Edit with a visual editor — change chart types, colors, and data with clicks.

Share dashboards with your team instantly.

For engineers

Full API access to every agent in the pipeline.

Override any AI decision at any step.

Custom data connectors via webhook or direct API integration.

Inspect the agent trace — see every decision and why it was made.

AI infrastructure

Built on frontier AI

Intelligent model routing, streaming responses, semantic caching, and multi-provider redundancy. All built in.

Frontier AI models

Intelligent model routing selects the most capable reasoning models for complex multi-source queries. Fast models handle simple lookups. You get optimal quality at the lowest cost — automatically.

Streaming responses

Every token streams to your browser via Server-Sent Events. Watch the dashboard build itself in real-time. No loading spinners. No timeouts.

Semantic caching

Ask a similar question twice? The cache recognizes semantic equivalence and returns results in under 50ms. Cache hit rates exceed 90% in production.

Multi-provider redundancy

The AI layer spans multiple providers with automatic failover. One provider down? Requests reroute in milliseconds. 99.9% uptime, guaranteed by architecture.

Show me revenue by quarter
Intent Analysis 0.2s
Domain Classification 0.1s
API Discovery 0.8s
Schema Analysis 0.3s
Chart Recommendation 0.2s
Widget Generation 0.1s
Estimated completion ~1.7s remaining

Working memory

Learns how you work

The system remembers your preferences, follows conversation context, and shares insights across your team.

Learns how you work

Preference memory remembers your chart styles, color schemes, data sources, and time ranges. Ask for “the usual revenue dashboard” and it knows what you mean.

Conversation context

Follow-up queries reference previous results automatically. “Now break that down by region” works without repeating the full context.

Team intelligence

Cross-team learning — insights from one team member’s queries inform recommendations for the whole organization. Shared context, individual control.

Show me revenue by quarter

Bar chart rendered

Revenue by Quarter — Bar chart

Add churn rate as a second axis

Chart updated

Revenue + Churn — Dual axis

Alert me if churn exceeds 5%

Alarm created

Watching churn rate

By the numbers

Production-grade from day one

Every number is a constraint, not a marketing claim. The pipeline is built to these specifications.

500+

AI models via OpenRouter

9

Intent types

21

Data domains

80+

Data providers

< 15s

Prompt to dashboard

90%+

Cache hit rate

Get Started

Build your first dashboard in 30 seconds

Type what you want to track. Watch the swarm build it. No coding required.

Get Early Access