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Products we built and run.

Five clients, one pattern: we take ownership of the whole product (backend, frontend, data, and infrastructure) and keep it running after launch. Also trusted by Comfrt.

platform.fundreachr.comDemo data
AI-written investor email in the FundReachr campaign workspace

01 · Fundraising · SaaS

FundReachr

An AI investor-outreach SaaS, built and shipped end to end

  • Data engineering
  • Software engineering
  • Cloud & infrastructure
Case fileFundReachrRead the case study: FundReachr

fundreachr.com

Case file

FundReachr

An AI investor-outreach SaaS, built and shipped end to end

Client
FundReachr
Sector
Fundraising · SaaS
Challenge
Take a fundraising-automation idea to a live product with no codebase, no team and no infrastructure, for a promise that depends on an investor database that is curated, enriched and always fresh.
What we built
The whole platform: an investor-data engine that collects, classifies, enriches and de-duplicates investors into BigQuery; a Flask API with Auth0, Stripe credit billing and AI message generation; email-delivery workers; four React apps and a browser extension, running on Google Cloud with Postgres on Neon.
Outcome
A live SaaS on Google Cloud whose billing, authentication and outreach were re-engineered as the product found its model.
Stack
Python · Flask · React · PostgreSQL · BigQuery · Cloud Run · OpenAI · Stripe
Investor data synced into the app
Daily
Canonical record per investor
1
Sectors in the investor taxonomy
43
Languages for AI-written messages
11

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Extraction PlatformDemo data
Documents board of the Bulq.ai extraction platform

02 · Construction · AI

Bulq.ai

From no-code to a real engineering platform

  • Data engineering
  • Software engineering
  • Cloud & infrastructure
Case fileBulq.aiRead the case study: Bulq.ai

Bulq.ai

Case file

Bulq.ai

From no-code to a real engineering platform

Client
Bulq.ai
Sector
Construction · AI
Challenge
An AI pricing product for construction contractors, locked into a no-code WeWeb front, with thousands of differently formatted supplier quotes to turn into structured prices, and supplier consultations still tracked by hand.
What we built
The extraction platform that turns customers' supplier quotes into validated, structured prices; the foundation of the FastAPI backend-for-frontend that let Bulq.ai move off WeWeb customer by customer; and S2C, an automated supplier-consultation backend, all designed for Bulq.ai's move to its own Google Cloud.
Outcome
An owned, tested platform: a re-architected extraction pipeline built to recover from failures on its own and keep LLM spend bounded, with human review only where judgement is needed, plus a tested backend for automated supplier consultations.
Stack
Python · FastAPI · Flask · React · PostgreSQL · Cloud Run · Cloud Tasks · OpenTofu
Differently formatted supplier quotes
Thousands
LLM spend in the re‑architected pipeline
Capped
Recovery sweep in the re‑architected pipeline
5 min

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Bonjout MRPDemo data
Bonjout MRP operations dashboard

03 · Beauty · E-commerce

Bonjout Beauty

From spreadsheets to an MRP platform

  • Data engineering
  • Software engineering
  • Cloud & infrastructure
Case fileBonjout BeautyRead the case study: Bonjout Beauty

bonjoutbeauty.com

Case file

Bonjout Beauty

From spreadsheets to an MRP platform

Client
Bonjout Beauty
Sector
Beauty · E-commerce
Challenge
A fast-growing DTC and wholesale beauty brand running on gigantic Excel files, then on a patchwork of tools: stock spread across warehouses, filling labs and partners, and no single answer to what it owns, what it really cost, and when it will run out.
What we built
First, daily analytics: the brand's sales data lands in BigQuery every day (today through DataSync) and feeds its dashboards. Then a full MRP platform (purchasing, lot-level inventory, stock projection, production planning, landed-cost COGS and Shopify sync) and its integration with a new API-only 3PL.
Outcome
One system of record for purchasing, stock, production, sales and COGS, in place of the spreadsheets: Shopify orders applied within minutes, every unit traceable to its lot, and purchased stock to its actual landed cost.
Stack
Python · Flask · React · PostgreSQL · BigQuery · Cloud Run · Shopify API · Looker Studio
From Shopify order to the MRP
Minutes
Weeks of stock projection
12 to 52
Backdated COGS restatement
2 years
Sales data landed in BigQuery
Daily

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The dashboard created by Datagem Consulting has been a game-changer for our start-up. Pierre has demonstrated an excellent understanding of our needs, delivering a customized solution tailored specifically to our business requirements.

We now have immediate access to all our data with 100% accuracy, presented exactly how we want to see our business – all in one place, automatically updated daily without any human intervention.

Our needs continue to evolve, and over time, we have requested additional custom analysis and data tracking. Pierre has always responded promptly, day or night 😊, listening carefully, with patience.

He has been the perfect partner in this project. We have made many people envious of our Dashboard, and I certainly don’t miss our gigantic Excel files!

Aude EstampesCFO, Bonjout Beauty
Target Plus middlewareDemo data
Target Plus middleware operations dashboard

04 · Oral care · Marketplaces

Purely White Deluxe

Target Plus, wired straight into Shopify and Flexport

  • Data engineering
  • Software engineering
  • Cloud & infrastructure
Case filePurely White DeluxeRead the case study: Purely White Deluxe

purelywhitedeluxe.com

Case file

Purely White Deluxe

Target Plus, wired straight into Shopify and Flexport

Client
Purely White Deluxe
Sector
Oral care · Marketplaces
Challenge
Selling on Target Plus means meeting Target's rules on every listing and every order (acknowledgements, exact shipping methods, cancellation reasons, stock per distribution center) while the catalog lives in Shopify and stock and shipping live at Flexport.
What we built
A direct Target Plus integration on the client's own Google Cloud: listings published from Shopify against Target's taxonomy; orders acknowledged and routed to Flexport; tracking, cancellations and inventory reported back to Target, and returns registered at Flexport, all operated from a dedicated console. Alongside it, a DataSync warehouse brings marketplace and order data into BigQuery.
Outcome
A marketplace integration built in the brand's own Google Cloud: automated tests, vendor contracts validated against Target's and Flexport's published API specifications, and one pipeline that builds separate sandbox and production apps from the same code.
Stack
Python · FastAPI · React · PostgreSQL · Cloud Run · Cloud SQL · Target Plus API · Flexport API
Target polled for new orders
5 min
Reconcile as a safety net
15 min

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DataSync consoleDemo data
DataSync console (demo tenant): connector inventory

05 · CPG · Personal care

Bravo Sierra

Every data source, one dashboard

  • Data engineering
  • Software engineering
  • Cloud & infrastructure
Case fileBravo SierraRead the case study: Bravo Sierra

bravosierra.com Explore a live dashboard

Case file

Bravo Sierra

Every data source, one dashboard

Client
Bravo Sierra
Sector
CPG · Personal care
Challenge
KPIs compiled by hand from disparate vendor dashboards across DTC, wholesale, and advertising.
What we built
A centralized data layer: DTC, wholesale and advertising data brought into one BigQuery warehouse behind Looker Studio dashboards shaped around how the business actually runs. Its scheduled syncs now run on DataSync, DataGem's ingestion platform.
Outcome
One place for the KPIs the team used to compile by hand, shaped around how the business runs.
Stack
Python · BigQuery · Looker Studio · Ads APIs · ETL · DataSync
Warehouse for DTC, wholesale and ad data
1
Source platforms DataSync connects
19

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Pierre and his team were a delight to work with. Before working with them, we were relying on a bunch of disparate analytics dashboard from different vendors and sources to compile our business KPIs and metrics. Pierre was able to create a simple interface, centralizing and aggregating all our data sources (DTC, wholesale, advertising, etc) in a way that makes sense for our specific business and needs. The project was seamless and efficient. Great people, great work!

Benjamin BernetCEO, Bravo Sierra
datagem-consulting.com
The DataGem home page: the headline beside the logo's 12 lines, drawn live

06 · Software studio · Website

DataGem

This website, redesigned and rebuilt around the logo's own lines

  • Software engineering
  • Cloud & infrastructure
Case fileDataGemRead the case study: DataGem

datagem-consulting.com

Case file

DataGem

This website, redesigned and rebuilt around the logo's own lines

Client
DataGem
Sector
Software studio · Website
Challenge
Our previous site was a dark design over a persistent 3D background, with animation and smooth-scrolling libraries, rendered only in the browser: every page loaded about 440 kB of compressed JavaScript and showed nothing until it ran, and Google Fonts and Google Analytics loaded without asking for consent.
What we built
A new design, Current (paper, ink and the logo's blue, set in Bodoni Moda, Archivo and IBM Plex Mono), and a WebGL engine that draws the logo's 12 lines live, from the home's hero through its scroll journey to the 404. Every page is pre-rendered to static HTML and served by nginx on Cloud Run, with Google Analytics only after consent.
Outcome
A lighter site whose text is there before any script runs and stays still as it loads, that works with a keyboard and with reduced motion, and that sends nothing to Google until the visitor accepts.
Stack
React 18 · Vite · Tailwind CSS · three.js · WebGL · nginx · Cloud Run · Cloud Build
Lighthouse performance score on desktop
100
Layout shift as pages load
0
Compressed JavaScript to load a page, down from 440 kB
130 kB

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