01 · Digital product builders · est. 2022

Build & Ship quickly

JMS Analytics is a small studio that leverages AI to ship comprehensive and valuable digital solutions without cutting corners. The rigor of a long engagement, the pace of a sprint.

PracticesBusiness intelligence·Advanced analytics·Custom software
02 · What we build

A single toolkit. Many shapes.

Business intelligence

What the business actually looks like

Dashboards, reporting layers, and the semantic models behind them. Descriptive products that turn scattered data into a clear view of what is and what has been. The kind of clarity that makes the next decision obvious.

Tools
Power BIDAXTMDLMSQLHexStreamlitPlotlyMS Fabric

Advanced analytics

What's likely to happen next

Forecasting, segmentation, classification, ad-hoc modeling. Forward-looking products that move beyond reporting into prediction, and where useful, prescription. Delivered as production-ready apps your team can run on a schedule, not notebooks that bit-rot in a drawer.

Tools
PythonScikit-learnProphetNixtlaPyTorchPySparkHex

Custom software

The software that runs the work

Full-stack web applications, internal tools, customer-facing apps, AI-powered interfaces. Often where business intelligence and advanced analytics live in production: wrapped in software that earns its place in daily operations.

Tools
TypeScriptNext.jsReactTailwindshadcn/uiPostgreSQLVercelSupabase
03 · Recent work

Real shipped solutions.

See all work
Business intelligenceCase 01
Clientlocal government

Forecast Accuracy Tracker

A monitoring and diagnostic report that tells client how much to trust its demand forecasts - measuring accuracy and bias against arriving actuals across vintages, horizons, and methodology eras, which replaces roughly eight hours of manual forecast tracking each month.

OutcomeReplaced ~8 hours/month of manual forecast tracking with an automated BI accuracy monitor
DurationApr 2026 – Jul 2026
Featured
Advanced analyticsCase 02
Clientlocal government

Service Desk Topic Analytics & FAQ

A pipeline that ingests and processes IT service desk data, discovers and assigns topics to each ticket, ranks them by volume and resolution time, and produces a FAQ for staff to review on demand.

OutcomeTopic modeling and discovery automation saves hundreds of hours per turn and equips managers with topical low-hanging fruit for efficiency gains
DurationMay 2026 – Jun 2026
Custom softwareCase 03
Clientcity government

Data Management & Analytics Platform

A full-stack data management platform that consolidates fragmented operational and financial data from several of the client's source data systems into a centralized, validated database, replacing manual Excel workflows and providing a clean data foundation for ongoing cost-of-service rate studies.

OutcomeReplaced multi-day spreadsheet data prep with a single validated database saving over $30K per study in data wrangling fees
DurationDec 2025 – May 2026
Business intelligenceCase 04
Clientlocal government

Time Series Data Explorer

A semantic model and BI solution that lets analysts explore and export time-series data from client's time series data warehouse without any SQL knowledge.

OutcomeCentralized hundreds of economic time series under one roof and reduced data access and retrieval time from hours to seconds
DurationSep 2025 – Oct 2025
04 · How we work

We start with a conversation - not a contract.

Intake and a written proposal are on us. Once we agree on scope, we build with AI in the loop at three or four times the pace of a traditional consultancy without skipping the things that make a system worth owning. Most engagements run six to twelve weeks.

00On us
Intake and proposal
A call to understand the problem and a written proposal back. No theatrical kickoff workshop, no charge to figure out whether we're a fit.
01
Requirements and design
We read your codebase, your docs, your data, and we talk to the people who actually use the system. You get a written requirements doc and the shape of the thing: data models, interface mockups, API contracts, whatever matters for your project. Cheap to change now, expensive to change later. You sign off before we build.
02
Build and test
We build with AI tooling in the loop for code generation, automated review, and AI-assisted data exploration, and we test as we go. Tests, observability, a runbook. We don't ship the happy path and leave. Edge cases, failure modes, and the things only your team knows about get covered.
03
Deploy and handoff
Production deployment, architecture docs, video walkthroughs, and pairing sessions with your engineers. The goal isn't to keep you on a retainer; it's to leave a system your team can confidently own.
05 · Contact

Have a project in mind? Let's talk.