See What Matters.
Nothing Else.

Custom dashboards that show exactly what you need to make decisions — not 47 charts you'll never look at. Real-time data, clean design, built for your business.

Build Your Dashboard

Data Isn't Insight. Dashboards Are.

You have data everywhere — databases, spreadsheets, APIs, SaaS tools. What you don't have is a single screen that tells you what's actually happening.

Generic BI tools give you a million options and zero opinions. You don't need options — you need answers. A custom dashboard built around YOUR metrics, YOUR KPIs, YOUR decision-making process.

We build that.

Dashboards That Drive Decisions

Real-Time Data

Live metrics that update as your business moves. No refresh button, no stale exports. The numbers you see are the numbers that are.

Multi-Source Integration

Pull from databases, APIs, spreadsheets, and third-party tools. One dashboard, all your data, one source of truth.

Custom Visualizations

Charts, graphs, maps, tables — designed for your data and your audience. Not template charts with your logo. Purpose-built visuals.

Embedded Analytics

Add dashboards inside your product for your customers. White-labeled, permission-aware, and integrated into your existing UI.

Alerts & Thresholds

Get notified when metrics cross boundaries. Slack alerts, email notifications, SMS — the right signal at the right time.

Export & Reporting

Scheduled PDF reports, CSV exports, API access. Your data, your way, on your schedule.

From Raw Data to Clear Signal

Define what matters

We start with decisions, not data. What questions do you need answered? What actions do those answers drive? That shapes everything.

Connect & visualize

We wire up your data sources, design the views, and build the dashboard. You see working versions within days.

Deploy & iterate

Live dashboard with real data. We refine views based on how your team actually uses it — not how we guessed they would.

Don't Take Our Word for It

Frequently Asked Questions

What data sources can your dashboards query?

We connect to PostgreSQL, MySQL, MSSQL, SQLite, BigQuery, Snowflake, Redshift, MongoDB, and ClickHouse as primary data sources. For SaaS platforms, we ingest data from Stripe, HubSpot, Salesforce, Shopify, Google Analytics, and any REST API with a query interface. For real-time dashboards, we implement WebSocket or server-sent event streaming on top of the underlying database. Multiple sources can feed a single dashboard with federated queries.

Do you work with Metabase, Superset, or build fully custom dashboards?

All three options are on the table. Metabase and Apache Superset are chosen when your team needs self-service ad-hoc querying and the data model is simple enough to not require custom rendering logic. Fully custom dashboards — built with Chart.js, Recharts, or D3 embedded in a Flask or Next.js application — are used when you need proprietary business logic in the visualisation layer, real-time updates, or a white-label interface embedded in your product. We recommend the right tool for your actual use case.

How long does a dashboard project take?

A focused dashboard with a defined data source and 5 to 10 core metrics ships in 1 to 2 weeks. Multi-source dashboards with complex business logic, role-based views, drill-down capabilities, and scheduled reports run 3 to 5 weeks. Real-time streaming dashboards add 1 to 2 weeks to the timeline depending on infrastructure complexity. All timelines are fixed before work starts.

What does a data dashboard cost?

Custom data dashboards start at $8k for a focused, single-source build. Multi-source dashboards with complex queries, role-based access, and scheduled report exports run $15k–$30k. Enterprise analytics platforms with embedded AI features, real-time streaming, and white-label deployment start at $35k. All pricing is fixed-scope, fixed-price — we scope precisely after reviewing your data sources and metric requirements.

Can dashboards include AI-powered analytics or anomaly detection?

Yes. We add AI layers on top of dashboard data: statistical anomaly detection using isolation forest or Z-score methods for automated alerting; LLM-generated natural language summaries that explain what changed and why; forecasting with time-series models (Prophet, ARIMA) for revenue and usage projections; and conversational query interfaces where users ask questions in plain English and receive chart answers. AI analytics modules are scoped as add-ons to the base dashboard build.

What Do You Need to See?

Tell us about your data and the decisions it should drive. We'll design the dashboard and get back to you fast.

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You already have the data.
You just need the right lens.