golang · any data source · olap

We turn raw
data into
decisions.

n32b designs and ships OLAP analytics systems — dashboards, reports, and data pipelines — pulling from any source you already use, at speed legacy BI stacks can't match.

Discuss your project →
no sales deck required
  • 0.3s
    avg query time on 200M+ rows
  • 80%
    lower infra cost vs. warehouse stacks
  • 15+
    production pipelines shipped
  • 24/7
    automated data collection & parsing

This is what lands in your hands.

Dashboards, trend lines, and data tables — the deliverables you actually use, not slideware.

Illustration of a multi-panel analytics dashboard with bar charts, a pie chart, a trend line, a scatter plot, and a radar chart
Dashboards
Illustration of an upward-trending line graph tracking growth over months
Trend graphs
Illustration of a data insights summary table with metrics, trends, and goals
Data tables
01 Services

What we build, end to end.

Custom dashboards & BI

Interactive dashboards built for how your team actually reads data — not a generic template.

Automated reporting

Scheduled reports that generate, format, and deliver themselves — no more manual exports.

Data collection & parsing

Reliable scrapers and ingestion jobs that pull, clean, and normalize data from any source, on schedule.

OLAP pipeline engineering

Go-based pipelines that consolidate MySQL, Postgres, Mongo, APIs, and more into DuckDB for analytics that stay fast as data grows.

LLM fine-tuning datasets

We collect your data, explore it for quality and coverage, and shape it into a clean, structured dataset ready for fine-tuning.

Continuous monitoring & triggers

Always-on analysis of your data — anomaly alerts, ad-campaign optimization, and triggers that fire actions automatically when the numbers move.

Data hosting & on-premise deployment

We host your data and services, or deploy the full stack on your own hardware — including local LLMs for private, offline data analysis.

02 Stack

Any source. One fast layer.

MySQL, PostgreSQL, MongoDB, REST APIs, Google Analytics, Google Sheets — whatever you already run on. Go handles ingestion and scheduling; we consolidate everything into one fast analytical layer, so your dashboards stay quick no matter how many systems feed them.

  • > Connectors for MySQL, PostgreSQL, MongoDB, REST APIs, Google Analytics, Google Sheets, and more.
  • > Go services handle scheduling, ingestion, and transformation with minimal footprint.
  • > Runs on a single machine or scales horizontally — your call, your budget.
Typical stack footprint
Querying sources separately 4.2s
Legacy warehouse ETL 2.8s
n32b unified layer 0.3s
03 AI Layer

Speak with your data.

Every dashboard we ship can be paired with a natural-language layer on top of your data — ask a question in plain English, get back SQL, a chart, and an answer. No more waiting on the data team for one-off reports.

  • > Ask questions in plain English, get SQL + chart + answer.
  • > Works across every source we have connected — no data migration.
  • > Optional layer, added to any dashboard we ship.
04 Process

From data mess to shipped dashboard.

  1. Discovery call

    We map your data sources, current pain points, and what "done" looks like.

  2. Ingress

    We collect and prepare data from every source — MySQL, PostgreSQL, MongoDB, APIs, Google Analytics, Sheets — into DuckDB for fast analysis.

  3. Pipeline design

    We design the transformation, storage, and query layer around your actual data volume.

  4. Build & ship

    Working dashboards and reports, iterated with you in short cycles.

  5. Handoff & support

    Documented, maintainable systems — plus ongoing support if you want it.

Ready when you are

Let's talk about your next data project.

Tell us what you're working with. We'll tell you how fast we can make it, and what it'll take to ship.

Start the conversation →
hello@n32b.com