We Build Custom AI & Data Systems
For Your Industry.
From computer vision systems on factory floors to AI-powered financial dashboards and multi-tenant SaaS platforms — DataCrumbs designs, builds, and deploys end-to-end data intelligence solutions for engineering, industrial, and tech companies.
10+
Enterprise Systems Built
4
Industries Served
6
AI Models Deployed
100%
Projects Delivered
What We Build
AI & Data Systems Built End-to-End
Every system we deliver is production-grade — designed for real operational environments, not proof-of-concepts.
Custom AI Dashboards
Interactive, real-time dashboards built for operations teams — pulling live data from Google Sheets, databases, or APIs. We've built HSE safety dashboards for engineering firms and financial dashboards for corporate finance teams.
Computer Vision Systems
End-to-end CV pipelines: camera ingestion, YOLO-based detection, object tracking, and KPI extraction. We've deployed production systems on factory floors tracking equipment throughput, downtime, and OEE — with automated daily reports.
Intelligent Document Processing
AI-powered extraction from PDFs, scanned documents, and bank statements. We combine direct text extraction with GPT-4o Vision for scanned/handwritten pages — outputting structured, validated financial data ready for analysis.
Multi-Tenant SaaS Platforms
Full-stack SaaS applications with per-organization data isolation, subdomain routing, and role-based access. EasyHire — our hiring platform — is a live example running at easyhire.lt with multi-tenant support for enterprise clients.
AI Automation & Pipelines
Automated workflows that connect your data sources, apply AI processing, and deliver results — without manual intervention. We've built systems that auto-evaluate student code with LLMs and notify via email + WhatsApp, and factory pipelines that email OEE reports at 6am daily.
AI Chatbots & Assistants
Custom conversational AI built on LLMs and integrated into your existing tools. NexusBot — our own AI assistant — is deployed on the DataCrumbs platform. We build similar assistants for customer support, internal knowledge bases, and lead qualification.
What We've Actually Built
These aren't hypotheticals. Every system below is live, in production, solving real problems for real clients.
AI Assignment Auto-Evaluator
The Challenge
As student enrollment scaled, manually reviewing Python and Jupyter notebook submissions became unsustainable. The team needed a system that could evaluate code quality, score assignments, and deliver personalised feedback to each student — without human intervention for every submission.
What We Built
We built an end-to-end automation pipeline: the system reads new submissions from Google Sheets, downloads each student's .ipynb or .py file from Google Drive, fetches the assignment rubric notebook from a Drive folder, and evaluates the code using GPT-4o-mini via LangChain. It then sends a branded HTML email via SendGrid and a WhatsApp message via Twilio — both with the score and feedback — and marks the row as 'Checked' in the sheet. A Streamlit UI allows manual triggering; a Heroku Scheduler runs it automatically on a daily cadence.
Outcomes
- Zero manual grading — every submission evaluated by AI automatically
- Branded email + WhatsApp feedback delivered to each student within minutes
- Google Sheet auto-updated with score, feedback, and 'Checked' status
- Separate FastAPI bot auto-submits test assignments for QA validation
Stack
HSE Safety Dashboard
The Challenge
A major engineering firm running a water pipeline construction project needed real-time visibility into site safety metrics — inductions, inspections, trainings, near-misses, and incident trends — across multiple teams and regions.
What We Built
We built a secure, role-based HSE dashboard pulling live data from Google Sheets. The system visualises leading and lagging safety indicators with KPI cards, line charts, bar charts, and area charts — with Clerk authentication restricting access to authorised admin users.
Outcomes
- Real-time safety metrics accessible from any device
- Zero manual reporting — data flows directly from field to dashboard
- Role-based access with Clerk — admins only
- Deployed on Vercel with Google Sheets as the live data source
Stack
Computer Vision Production Monitoring
The Challenge
A tannery with 6 spray plant conveyor belts was relying entirely on manual shift logs to track leather piece throughput and downtime. Data was inaccurate, delayed, and could not be compared across plants.
What We Built
We designed and scoped an end-to-end computer vision system: IP cameras above each conveyor feed RTSP streams to an on-premise NVIDIA GPU server running YOLOv8 + ByteTrack. A virtual counting line detects each leather piece, logs events to PostgreSQL, computes OEE metrics, and dispatches a formatted Excel report to managers by 6am daily — fully automated.
Outcomes
- Downtime tracked to ±1 minute accuracy per plant
- Automated daily production report emailed every morning
- Cross-plant throughput comparison via live dashboard
- Zero manual data entry after deployment
Stack
AI Bank Statement Extraction
The Challenge
Finance teams were manually re-entering transactions from PDF bank statements (HBL, BAHL) into spreadsheets — a process that was slow, error-prone, and unscalable as transaction volumes grew.
What We Built
We built a two-stage extraction pipeline: pdfplumber handles digital-native PDFs with direct table parsing; GPT-4o Vision handles scanned or photographed statements. Both pipelines output validated, structured JSON ready for the finance dashboard — with an amount parser that handles Pakistani currency formats, whitespace, and ambiguous debit/credit columns.
Outcomes
- Hours of manual data entry eliminated per week
- Handles both digital PDFs and scanned statements
- Structured JSON output feeds directly into finance dashboard
- Pakistani bank format support (HBL, BAHL, and more)
Stack
Multi-Tenant AI Hiring Platform
The Challenge
A growing recruitment platform needed to serve multiple enterprise clients (each with their own subdomain, branding, and data) under a single codebase — with AI resume scoring, a candidate portal, and an admin portal that could be white-labelled per organisation.
What We Built
We architected a multi-tenant system with subdomain-based org detection (admin-gasco.easyhire.lt loads GASCO's data, admin-ecme.easyhire.lt loads ECME's). Google Sheets act as the per-org data store. Resume AI scoring ranks candidates automatically. Three interconnected apps — admin portal, candidate portal, core admin panel — share a common component library.
Outcomes
- Unlimited orgs onboarded via config — no code changes
- AI resume scoring ranks every applicant automatically
- Per-org branding: logo, name, colours from config
- Live at easyhire.lt — serving multiple enterprise clients
Stack
How We Work
From First Call to Production System
A structured delivery process that keeps you in the loop at every stage.
Discovery & Scoping
Free 60-min technical callWe start by understanding your operational environment — data sources, existing tools, team workflows, and the specific problem you need solved. No assumptions, no generic pitches. We produce a written scope document with architecture decisions before any code is written.
Architecture & Stack
Written proposal in 5 daysWe design the system: data flows, APIs, database schema, ML pipeline, and deployment environment. For complex systems like computer vision or multi-tenant SaaS, we write detailed architecture docs (ADRs) and get your sign-off before building.
Build & Iterate
Staging access from week 2Development happens in tight sprints with regular demos. You get access to a staging environment early so you can test with real data and give feedback before final delivery. We don't disappear for months and resurface with a finished product.
Deploy & Handover
Full docs + support handoverProduction deployment to your preferred environment — Vercel, your own servers, or on-premise edge hardware. We provide documentation, access credentials, and a handover session. Most clients then retain us for maintenance and new features.
Why DataCrumbs
A Team That Ships Production AI
We've built it across sectors. Here's what consistently sets our work apart.
4
Industries — engineering, industrial, finance, HR tech
3+
Active enterprise clients with live production systems
0
Failed deliveries — every project we start, we ship
AI-Native from Day One
We don't bolt AI onto conventional software. Every system is designed around the data pipeline first — whether that's a CV model, an LLM extraction layer, or a real-time analytics engine.
Full-Stack Delivery
Backend, frontend, ML models, data pipelines, infrastructure. We deliver complete, working systems — not half-built components that need another team to finish.
On-Premise & Cloud
We deploy where your environment requires — Vercel and cloud for web apps, on-premise NVIDIA GPU servers for computer vision, Docker on your own infrastructure when data can't leave your network.
Spec-Driven Development
We write formal specs, architecture decision records (ADRs), and acceptance criteria before we build. You know exactly what will be delivered, tested, and signed off — no surprises at handover.
Industrial-Grade Reliability
Our systems run on factory floors, construction sites, and inside corporate finance teams — environments where downtime has real costs. We build for uptime, not demos.
Backed by a Training Network
DataCrumbs has trained 2,000+ data professionals. That means our engineers aren't just software developers — they understand the data science, the models, and the business domain behind every system we build.
What Our Clients Say
“The HSE dashboard DataCrumbs delivered has completely changed how we monitor safety on site. Previously we were compiling reports manually from spreadsheets. Now our safety officer has a live view of every metric — inductions, inspections, near-misses — from any device. The data flows directly from the field. We signed off on it within a week of the first demo.”
Site Safety Manager
GEPL Engineering · Water Pipeline Construction Project
“We gave them a problem: our finance team was spending 6–8 hours a week manually entering transactions from PDF bank statements. They built a system that handles both digital and scanned PDFs, parses Pakistani bank formats correctly, and feeds structured data directly into our dashboard. It was in production within three weeks of kickoff.”
Finance Operations Lead
GASCO · Corporate Finance Division
“The multi-tenant architecture they built for EasyHire is genuinely impressive. Each organisation has its own subdomain, its own data, its own branding — and it all runs on a single codebase. Adding a new client is a config change, not a deployment. The AI resume scoring alone has saved our recruiters hours every day.”
Product Owner
EasyHire · AI Hiring Platform
Let's Build Your Custom Program
Tell us about your team and we'll get back to you with a tailored proposal within 24 hours.
Email Us
info@datacrumbs.org
Call / WhatsApp
+92 329 2020497
Office
Room #105, Shahrah-e-Faisal, Karachi
Our Commitment
We respond to all enterprise inquiries within 24 business hours with a tailored program proposal — no generic decks.
Let's Turn Your Data Into a System That Works.
Whether it's a computer vision pipeline, a financial dashboard, or a full SaaS platform — we'll scope it properly, build it end-to-end, and ship it. No half-built prototypes.