Client work that
moves numbers.
Four records from the last 24 months. Real numbers, redacted names. Two from the Data Engineering practice, two from AI Engineering chosen because the outcomes were measurable and the problems were hard.
Twelve engagements.
Pick your practice.
SPRNV Transaction & Commission Analytics
Multiple affiliate network APIs, each with its own schema, unified into one BigQuery warehouse via automated Python ETL on Google Cloud Functions. Five Power BI dashboards: executive KPIs, publisher performance, finance reconciliation, geo & device, and a transaction drilldown explorer.
Read full case study →Hoist Unified Ecommerce & Marketing Analytics
Shopify brand running paid across Google, Microsoft, and Meta. Fragmented reporting with no single source of truth. Built a unified BigQuery warehouse fed by Airbyte + Supermetrics, modelled with fact/dimension tables, and delivered 6 Power BI dashboards covering revenue, acquisition, retention, and channel-level spend.
Read full case study →Cooper's Hawk Winery Booking Measurement & Reporting
Live client — multi-location restaurant brand with three separate platforms each counting conversions differently. Implemented a structured GTM event taxonomy for the Reserve Table and Takeaway booking journeys, aligned Google Ads and Meta Pixel to the same booking_complete event, and delivered 7 Looker Studio dashboards covering executive KPIs, funnel analysis, location performance, and blended paid media.
Read full case study →Dreamiere Unified Analytics & Customer Segmentation
Ecommerce brand with five disconnected data sources and no customer lifecycle visibility. Built a unified BigQuery warehouse via Airbyte + Supermetrics, delivered 6 Looker Studio dashboards covering Shopify revenue, GA4 funnels, and blended paid media across Google, Meta, and Bing — plus an advanced RFM analysis that segments the full customer base into 10 actionable loyalty cohorts.
Read full case study →Country Meats Unified Ecommerce & Paid Media Analytics
Shopify brand running paid across Google Ads, Bing Ads, and StackAdapt with no unified view of performance. Built a centralised BigQuery warehouse fed by Airbyte and Supermetrics, and delivered 5 Looker Studio dashboards covering sales overview, GA4 traffic, and all three ad channels with consistent metric definitions across every report.
Read full case study →Subscription Data Engine Content-to-Cash Attribution
Subscription media platform. Trial sign-ups in WordPress, purchases in Stripe, and behaviour in GA4 with no thread connecting them. Built a cross-platform identity layer capturing the last 3 articles read before every conversion, calculated conversion windows (days to purchase), and centralised all data in BigQuery via Airbyte pipelines with an Airflow DAG for automated workflow processing.
Read full case study →GTM + GA4 Conversion Tracking 7 Events, Full Attribution
Zero conversion tracking in place — free trial sign-ups, subscriptions, paywall views, and form submissions all invisible in analytics. Designed the data layer architecture, configured 7 conversion events with 7 custom parameters in GTM, registered custom dimensions in GA4, and built 4 Looker Studio dashboards including a content-to-conversion attribution report showing which articles drive paid subscriptions.
Read full case study →Microsoft UET Bing Ads Conversion Tracking via GTM
Bing Ads running with no UET conversion tracking — the platform was optimising toward clicks instead of real outcomes. Installed Microsoft UET base tag via GTM, configured 6 conversion goals (checkout, purchase, hotel clicks, register, brochure, catalog), set up primary and secondary UET goals in Bing Ads, and delivered 3 Looker Studio dashboards covering conversion performance, campaign attribution, and ROI analysis.
Read full case study →Pikos Institute 4-Platform Marketing Dashboards
Live client. Active campaigns across Google Ads, Bing Ads, and Meta Ads with no unified reporting layer. Connected GA4 and Google Ads via native Looker Studio connectors and Bing Ads and Meta Ads via Supermetrics. Delivered 4 dashboards covering website behaviour, Google Ads, Bing Ads, and Meta Ads with consistent KPI definitions enabling genuine cross-channel comparison.
Read full case study →Paws Chicago Consolidated Digital Marketing Report
Live client. GA4, Google Ads, and Meta Ads reporting consolidated into a single Looker Studio suite. GA4 dashboard includes device and browser performance breakdowns previously invisible to the team. Google Ads surfaces age-wise and region-wise segmentation. Meta Ads covers platform, placement, and audience demographic analysis including engagement metrics (likes, shares, comments).
Read full case study →Hotel AI Concierge
AI voice and chat agent for hotel reception. Handles bookings, cancellations, lookups, and live human handovers. Voice response under 1 second. 24/7, no staff required for routine enquiries.
Read full case study →ViDoShare One Home for Every File
Single platform for videos, docs, spreadsheets, boards, and Drive. Built-in AI reads every file on upload: instant summaries and grounded Q&A. One-click sharing with public, password, or private control.
Read full case study →RevStream CRM
All-in-one CRM with contacts, sales pipeline, tasks, email, calendar, support tickets, live chat, lead forms, email marketing, and a website builder. Multi-tenant: one system, many businesses.
Read full case study →AnthroMethod CV Engine
Tagliabue & Partners senior recruitment firm. Built a custom AI engine that reads, scores, and ranks CVs automatically. 191 CVs screened in 75 minutes. 88.2% top match. Every score evidence-backed.
Read full case study →HotSpot SEO
All-in-one SEO platform with site audits, uptime monitoring, page speed testing, AI content tools (Blog Generator, Content Writer, Planner, Keyword Research), and Google Search Console + Analytics 4 integration.
Read full case study →NEXUS Behavioural Analysis
Multi-channel meeting analysis platform. Processes pre-recorded calls across 6 simultaneous channels: voice, language, facial expression, body posture, eye gaze, and conversation dynamics. Delivers timestamped behavioural reports in 15–20 minutes.
Read full case study →ConceptM AI
Live client concept m, a consumer-insight and market-research firm. Built a private AI platform with two environments (Sparring Arena for chatting with lifelike virtual consumers; Test Zone for marketing-material impact analysis) and a full multi-brand admin system.
Read full case study →BGBX.ai Customer Intelligence Platform
Healthcare and pharma brands sit on enormous data conversations, social, research papers, search trends, medical claims but it lives in separate tools. BGBX.ai connects all five layers into one platform: the 3D Data Stack, two dashboards, and three analyst products.
Read full case study →Questions about the case studies.
Are the client names shown in these case studies real?
Some are, some aren't. Live clients who have given consent are named — you'll see their brand alongside the "Live client" tag. Others are anonymised at their request, particularly clients in regulated industries where naming an external vendor is commercially sensitive. The outcomes and metrics in every case study are real, regardless of whether the client name is shown.
What's the difference between a "Live client" and a "Demo" build?
A "Live client" engagement was commissioned and paid for by a real client — the problem, the solution, and the outcomes are all from that real engagement. A "Demo" build was created by Gigaflop Techlab to demonstrate a specific capability or service offering. Demos are fully functional, production-quality builds — they just weren't commissioned by a paying client. Both types represent work we've actually shipped.
Can I commission a build similar to what's shown here?
Yes — that's exactly what these pages are for. If a case study resonates with your situation, book a 30-minute call and we'll scope it properly. Every engagement is priced individually based on complexity and timeline. If your problem is closer to something we haven't documented yet, that's fine too — bring the problem and we'll tell you honestly whether we're the right fit.
How do you verify the outcomes and metrics shown?
Every number comes directly from platform data — GA4, BigQuery, Snowflake, Meta Events Manager, Google Ads, Power BI exports. We don't estimate or model projected outcomes; we report what the platforms actually measured. Where client sign-off is required to publish a metric, we either get it or we don't publish the number. If a case study shows a percentage or a cost figure, it was real.
Do you only work in the industries shown across these case studies?
No. The industries shown — SaaS, fintech, ecommerce, healthcare, recruitment, hospitality — reflect the clients who've hired us so far, not a restriction on who we work with. Our practices (Data Engineering and AI Engineering) are industry-agnostic at their core: fragmented data, unreliable reporting, and missing automation show up the same way whether you're a Series B SaaS or a 50-location restaurant chain. If the problem fits our practice, the industry doesn't matter.