Every type of software development service, in one place

2. Mobile application development

Apps for people who are standing up: field engineers, delivery staff, teachers taking attendance, parents checking a fee receipt on a two-bar connection.

• Offline first. Capture works with no network; sync resolves conflicts when it returns.
• Push notifications, biometric login, camera capture, GPS trails and QR scanning.
• Play Store and App Store release management, including staged rollouts.
• Crash and usage analytics from day one, so the second release is informed by evidence.

Typical size

6–14 weeks, squad of 3–5

Approach

Cross-platform by default; native when the hardware demands it

Stack

Flutter · React Native · Kotlin · Swift · REST / GraphQL APIs

3. Business process automation

The practice Brightbit was founded on. We sit with the people doing the work, draw the real process — including the WhatsApp group and the register in the drawer — and turn it into routed, auditable workflow.

• Form capture, rule-based routing, multi-level digital approvals with delegation.
• Automatic ledger and inventory postings, so nobody re-keys the same number twice.
• Exception queues and escalation timers instead of things silently going missing.
• A live MIS that management can open themselves at month-end.

4. Industry ERP & product suites

Rather than one generic ERP, we maintain focused suites for the sectors we know, then configure and extend them for you.

5. AI & machine learning applications

We build AI features that a business can be accountable for: a confidence threshold, a human review queue for anything uncertain, and an evaluation report you can show an auditor.

• Document and invoice extraction, handwriting and form reading, classification and routing.
• Forecasting for demand, fee collection, attendance risk and stock movement.
• Retrieval-based assistants over your own policy and manual library, with citations.
• Full MLOps: versioned datasets, a model registry, drift monitoring and a rollback path.

Read the four AI projects in detail

6. Research & scientific applications

Software for people whose output is a paper, a thesis or a regulatory submission, where the requirement is not just "it works" but "it can be reproduced".

• Experiment tracking, versioned datasets and parameter-sweep runners.
• Simulation and analysis pipelines that record the exact environment they ran in.
• Survey and data-collection instruments with consent handling and anonymisation.
• Publication output: figures, tables and metrics regenerated from one command.

Read the research platform write-up

7. Data engineering, BI & reporting

When four departments each have their own version of last month's number, the fix is not another report — it is one modelled warehouse everyone reads from.

• Ingestion from ERP, CRM, spreadsheets, IoT and third-party APIs on a schedule you can see.
• Modelled, documented tables with tested business definitions.
• Dashboards in Power BI or in your own application, plus scheduled email and alert rules.
• Data quality checks that raise a flag before the board deck does.

8. Cloud, DevOps & reliability

Deploying should be boring. We make it boring.

• Azure or AWS landing zone with environments defined as code, not clicked by hand.
• CI/CD pipelines: build, test, security scan, canary deploy, one-click rollback.
• Monitoring, log aggregation, uptime alerts and an on-call runbook that names people.
• Cost review, because an unwatched cloud bill only grows.

9. Quality assurance & test automation

A regression suite is what lets a small team change a big system without fear.

• Unit, API and end-to-end layers in a sensible pyramid, running on every commit.
• Manual exploratory testing where judgement beats a script.
• Performance and load testing with a published baseline to compare against.
• Accessibility checks against WCAG 2.2 AA, on real assistive technology.

10. UI/UX design & design systems

Enterprise software is used for eight hours a day by people who did not choose it. That deserves real design attention.

• Task and role analysis, then wireframes reviewed with actual users before build.
• A component library with states, spacing and colour tokens documented.
• Contrast, keyboard and screen-reader behaviour treated as requirements, not extras.
• Dark mode where people work night shifts — this site is a small demonstration.

11. Integration, APIs & payments

Most systems fail at their edges. We spend proper time on the seams.

• Payment gateways, UPI collection, bank statement reconciliation and settlement reports.
• SMS, WhatsApp Business and email providers with delivery tracking.
• GST, e-invoicing and government portal integrations.
• Tally, biometric devices, weighbridges, printers and legacy database bridges.

12. Legacy modernisation, security & support

Inheriting a system whose author left in 2018 is a normal engagement for us, not a special case.

• Assessment first: what it does, what it costs, what will break, written down.
• Stabilise and instrument before changing anything.
• Strangle-pattern modernisation, module by module, with no big-bang cut-over.
• Security review, dependency and secret hygiene, plus penetration-test remediation.
• AMC with a named engineer, a response SLA and a quarterly improvement plan.