Hadoopt builds the ERP, the web platform, the mobile apps and the AI that sits across them. One engineering team, one roadmap, one system of record.
Enterprise systems, web platforms and mobile apps shipped since we started.
ERP, AI, web and mobile engineered against a single data model.
Everything else in the business defers to it — no second stock figure.
A demo and a staging build you can open, every fortnight.
Stock lives in one system, invoices in another, and someone re-keys both every week. The reconciliation cost never shows up on a budget line.
Configured to the vendor's default workflow rather than yours, so the floor quietly reverts to WhatsApp and paper.
A demo that impressed everyone, then stalled — because it was never wired into the data, permissions and workflows it needed.
The storefront says twelve in stock. The warehouse says four. Finance invoiced against a third number last Tuesday. Every integration you have is a person, and Friday afternoon goes to deciding which system to believe.
We model your actual operation in Odoo — your approval chain, your batch and expiry rules, your pricing exceptions — not the configuration that ships in the demo. After go-live there is one stock figure, one customer record, one ledger, and everything else defers to it.
Portal, field app and storefront all speak to the same core through one API layer. A driver marking a delivery complete closes the invoice. Nothing gets exported at midnight, re-keyed on Monday, or reconciled by hand at month end.
Ask which SKUs will stock out before Friday and get an answer from live data, not last month’s export. Supplier invoices file themselves against the right PO. Most agencies sell you this part first — it only works last.
The storekeeper sees what is genuinely free to promise. The driver closes the job from a phone. Finance bills from the same row — nobody re-enters anything.
Same delivery team across all four, so the ERP, the apps and the AI are designed against one data model instead of three vendors' assumptions.
Finance, inventory, manufacturing, CRM and HR configured around how your business actually runs — then extended with custom modules and AI.
AI that reads your documents, answers from your data and takes the repetitive work off your team — deployed inside the systems you already use.
SaaS products, customer portals and internal platforms built to hold up under real load, real permissions and real audit requirements.
Apps for the people who are never at a desk — field staff, drivers, store managers — plus customer-facing products that earn a home screen slot.
Four stages, fixed checkpoints. You can stop after any one of them and keep everything produced so far.
We sit with the people who do the work and map the process as it happens, not as the org chart describes it.
Before a line of code: the data model, the modules, the integrations, and what happens to your existing data.
Sprints against a staging environment you can open any day, with a named project manager and a standing demo.
Go-live is the middle of the project. We stay on for the requests that only appear once real users are in.
Six sectors we have rebuilt often enough that the first workshop starts from evidence rather than a blank page.
The counter, the website and the warehouse each hold their own stock number.
POS, online orders and purchasing on one ledger, with reorder points set against real sell-through.
Batch and expiry discipline is non-negotiable, and clinicians are doing data entry.
Registration-to-billing with batch, expiry and controlled-substance tracking, and AI filing scanned records.
Stock is spread across warehouses, vans and consignment, and the pallet is on someone’s pad.
Multi-warehouse visibility in one view, dispatch tied to live orders, and a driver app that survives a dead signal.
Billable hours leak between the timesheet, the approval and the invoice.
Timesheet-to-invoice closed end to end, CRM fitted to your pipeline, and a portal so status answers itself.
Production plans live in one place and the shop floor works from a printout that is already out of date.
BoMs, work orders and routing tied to live stock, with scrap, rework and actual cost captured where the work happens.
Project margin only becomes visible after the job is finished and the bills have landed.
Budget, purchase, labour and subcontractor cost booked against the project as it runs, with progress billing from the same record.
Mature, widely-staffed tools — chosen so that another team could pick your system up if they ever had to. No in-house framework you'd be locked into.
The system of record and everything modelled inside it.
Multi-model: we pick per task and keep you portable between providers.
Portals, SaaS products and the API layer between them.
Field and customer apps, plus where it all runs.
Inventory, sales and accounting are the part you cannot run without. Payroll, HRMS, projects and the rest are there when you are ready — switching one on later does not mean redoing your setup.
Multi-warehouse stock, batches, expiry and reorder rules.
Quotes, orders, pipeline and the pricing exceptions you actually use.
Invoicing, payments, taxes and the statutory reports.
Counter and multi-outlet POS reading the same stock figure as the warehouse.
Salary structures, statutory deductions, payslips and filings.
Attendance, leave, appraisals and onboarding in one employee record.
Tasks, timesheets, budgets and billing that closes back to the invoice.
BoMs, work orders and shop-floor routing.
The assistant answers from your live data, not a copy of it. It can only see what the person asking is allowed to see, and every answer points at the records it came from.
Worth knowing before the first call, so nobody spends a month finding out.
We are engineers, not a sales channel. If your problem is a workflow rather than a subscription, we will say so and the licence conversation stays yours.
You get a team that owns an outcome and a date, not bodies billed by the hour against a backlog someone else wrote.
We build AI last, on a data layer that can support it. If a report and a better workflow solve the problem, that is the cheaper answer and we will recommend it.
The five that come up on nearly every first call — answered the way we'd answer them on the call.
Ask us something elseYes — that's a large part of what we do. We start with an audit of your configuration, custom modules and data quality, then give you a written list of what to fix, what to rebuild and what to leave alone.
It depends on scope, but you won't be asked to guess. The Architect stage ends with a fixed scope, cost and date before any build work is committed — and you can stop there if the numbers don't work.
We hold overlap hours with your working day, run demos on your calendar, and keep everything — tickets, staging, documentation — in tools you can open yourself at any hour.
Often you don't. AI is worth it where there's high-volume reading, typing or judgement on repetitive data. If a report and a better workflow solve it, we'll say so.
You do, from the first commit. Source, infrastructure and documentation sit in your accounts, and handover to an in-house team is a normal, planned outcome.