Is custom software the right choice?
Sometimes it is not, and we will say so. Buying is usually the right answer when your process is standard, the tool already exists and it will fit with light configuration. Custom software earns its cost in these situations:
Your process is your advantage
Pricing logic, scheduling rules, approval chains or customer workflows that competitors cannot copy by buying the same package.
You are paying for workarounds
Staff time spent moving data between systems, re-keying information or maintaining fragile spreadsheets.
Licence fees scale faster than value
Per-user pricing becomes painful at 200 or 2,000 seats.
You need to integrate systems that were never designed to connect
Accounting, warehouse, payments, logistics, partner portals.
You are building a product
If software is what you sell, you need to own it.
You have compliance or data-residency constraints
that packaged tools cannot meet.
A useful test is to list what you would change about your current tools if you could. If the list is short, configure. If it is long and the items are core to how you earn money, build.
What we build
Business and operations platforms
Systems that run your core process: order management, scheduling, field service, procurement, inventory, quality, project delivery and reporting.
CRM systems
Customer and pipeline management shaped around your sales process, with your data model and your integrations.
ERP and back-office systems
Finance, inventory, HR, purchasing and production in one place, built in modules you can roll out in stages.
SaaS products
Multi-tenant platforms with subscription billing, role-based access, admin consoles and analytics, built so you can grow from the first customer to thousands.
Web applications and customer portals
Browser-based software for customers, partners and staff.
Integrations and APIs
Connectors between your systems and third parties such as payment gateways, accounting packages, shipping carriers and marketplaces.
AI-enabled features
Document extraction, assistants, forecasting and recommendations added to the systems above.
Legacy modernisation
Moving an ageing system to a current stack in stages, keeping the business running while the new one takes over.
A typical day-one problem we solve
Here is a pattern we see often, described in general terms. A distribution business runs orders through an accounting package, tracks stock in spreadsheets and takes customer requests by email and phone. It works until volume doubles. Orders are re-keyed, stock counts drift and nobody can answer “where is my order?” without opening three files.
The fix is rarely a giant system. It is usually a focused order and inventory application that connects to the accounting package, gives customers a status page, and replaces the spreadsheets one at a time. The first release covers the biggest pain. Later releases add the rest. That staged approach is how we prefer to work.
How we work
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1. Discovery
We interview the people who do the work, not only the people who sign the budget. We map the current process, find where time and money leak, and define what success means in measurable terms. You get a written scope, a prioritised feature list and a first estimate.
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2. Solution design
We choose the architecture and technology, define the data model, plan integrations and identify risks. For larger projects we build a clickable prototype so you can test the idea before engineering starts.
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3. UI and UX design
Interfaces designed around real tasks. We test with the people who will use the system, because adoption decides whether software pays back.
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4. Agile development
Two-week sprints with a working demo at the end of each. You see progress in running software, not slide decks, and you can reprioritise as you learn.
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5. Quality assurance
Automated tests for core logic, manual testing for workflows, performance testing for expected load and a security review before release.
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6. Deployment and migration
Automated deployment, data migration from your current tools, staff training and a staged rollout to limit disruption.
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7. Support and evolution
Monitoring, bug fixes, security updates and a roadmap for what comes next. Software is not finished at launch. We offer maintenance plans so there is someone who knows your system when you need a change.
Engagement models
Fixed scope
Best for well-defined projects: we agree scope, price and timeline up front, with a clear change process.
Time and materials
Best when the scope will evolve: you pay for actual effort with a monthly cap and full visibility.
Dedicated team
Best for ongoing product development: a team of developers, a designer, QA and a project lead working as an extension of yours.
Discovery first
For uncertain projects we offer a short paid discovery phase that produces a scope, design and estimate you can take anywhere.
Architecture and engineering approach
You do not need to read this section to hire us, but it shows how we think.
Start simple
Most business systems begin well as a well-structured modular monolith: one deployable application with clear internal boundaries. Microservices solve real problems at large scale, but they add operational cost. We split services only when the evidence says so.
Design the data model carefully
Poor data design is the most expensive mistake to fix later. We spend real time on entities, relationships, audit trails and reporting needs.
API-first
A clean API lets web, mobile and partner systems share one set of business rules, and makes later integrations easier.
Security by default
Authentication, role-based permissions, input validation, encrypted storage and transport, audit logs and dependency scanning from the first sprint, in line with practices such as the OWASP guidelines.
Scalability where it counts
Caching, queues for slow work, database indexing and horizontal scaling when load requires them, not before.
Automated delivery
Version control, code review, continuous integration and one-click deployments, so releases are boring.
Observability
Logs, metrics and alerts, so we find problems before your users do.
Documentation and ownership
You own the code. We document architecture, set-up and deployment so you are never dependent on us.
What you receive from discovery
Discovery is not a sales meeting with a longer agenda. At the end, you hold documents you can use with us or with anyone else:
- A process map showing how work flows today, with the pain points marked
- A prioritised feature list, split into must-have, should-have and later
- User roles and permissions, described in plain language
- A data model outline: the main things the system tracks and how they relate
- An integration list with the systems, the data exchanged and any API limits we found
- Wireframes or a clickable prototype for the main workflows
- A risk register covering technical unknowns, data quality and change management
- A phased delivery plan with an estimate range and the assumptions behind it
Many clients find the exercise valuable even before a line of code is written, because it exposes decisions the business had not yet made.
Modernising legacy systems without stopping the business
An old system that still runs the company is both an asset and a risk. Rewriting it in one go is tempting and usually dangerous: the old system contains years of undocumented rules, and a big-bang switchover leaves no way back.
We prefer incremental modernisation. First we read the code and data to understand what the system really does. Then we put an API layer in front of it, move one module at a time to the new stack, run both in parallel while we compare results and retire pieces of the old system as confidence grows. The business keeps working throughout, and each step delivers something visible. Where the old system is stable and rarely changes, the right answer may be to leave it alone and build around it.
Security, privacy and compliance
Security is part of how we build, not a final checklist. Every project includes role-based access control, strong authentication options, encrypted data in transit and at rest, input validation, protection against the common web vulnerabilities, audit trails for sensitive actions and regular dependency updates. We back up data, test restoring it and document the recovery process.
Where your industry has specific rules, such as handling health records, payment card data or personal data of European or Californian residents, we design with those obligations in mind and recommend that you involve legal or compliance advisers for formal certification and sign-off. We do not claim certifications that we do not hold.
Technology stack
| Layer | What we typically use |
|---|---|
| Front end | React, Next.js, Vue where appropriate, Tailwind CSS |
| Back end | Laravel (PHP), Node.js, Python |
| Mobile | Flutter, Swift, Kotlin, React Native |
| Databases | MySQL, PostgreSQL, Redis, MongoDB where appropriate |
| Infrastructure | AWS, Google Cloud, Azure, Docker, CI/CD pipelines |
| Integrations | REST and GraphQL APIs, webhooks, payment gateways, accounting and shipping APIs |
| AI | OpenAI, Anthropic, Google models, vector search |
We pick technology to fit the problem and your team’s ability to maintain it, not to chase trends. For many business systems, Laravel on the back end with React or Next.js on the front end is a productive, well-supported combination.
Industries we serve
We build software for travel and hospitality, food and nutrition, healthcare and wellness, e-commerce and retail, logistics and supply chain, education, real estate, finance, manufacturing and SaaS. Each industry has its own vocabulary and rules. In discovery we learn yours, and we involve people who do the work before we write code.
Why teams work with TechColline
We do not claim to be the biggest agency, and we do not compete on the lowest rate. What we offer is more specific.
Engineers in the conversation
The people who will build your system join the discovery calls, so the plan reflects what is feasible and not only what sounds good.
Plain-language communication
Written updates, demos you can click and decisions explained with their trade-offs.
A bias toward simple, maintainable systems
We choose boring technology where it serves you, and we write code that another team can pick up.
Experience across web, mobile, AI and integrations
One team can build the web platform, the mobile app and the AI feature, which avoids hand-offs between vendors.
International delivery
We work with clients in several countries, with agreed overlap hours, shared boards and a regular delivery rhythm.
Honest advice
If a packaged product or a smaller project would serve you better, we say so.
Benefits of custom software
Fit
The system matches your process, rather than forcing your process to match the system.
Ownership
You control the roadmap, the data and the code.
Integration
One flow of information instead of re-keying between tools.
Scalability
It grows with your volume without per-seat penalties.
Competitive advantage
Capabilities that competitors cannot buy off the shelf.
Long-term cost control
Higher up-front investment, but no recurring licence fees for features you do not use.
Pricing and timelines
Custom software does not have a fixed price. It has cost drivers. Published industry guides show broad ranges, and the same patterns appear across them.
| Type of project | Indicative market range (USD) | Typical timeline |
|---|---|---|
| Focused MVP or internal tool | about $15,000 to $40,000 | 2 to 4 months |
| Business platform or portal with integrations | about $40,000 to $100,000 | 4 to 8 months |
| SaaS product | about $75,000 to $250,000 | 5 to 10 months |
| Complex or enterprise platform | $150,000 to $500,000 or more | 8 to 18 months |
What moves the number: how many user roles and workflows there are, how many systems you need to integrate with, data migration effort, security and compliance, design depth, platforms (web, iOS, Android) and how much of the scope is uncertain. Maintenance is typically budgeted at 15 to 20 percent of build cost per year.
Our advice is to start with the smallest release that proves value, then extend. It lowers risk and gets feedback sooner.
Frequently asked questions
How much does custom software development cost?
It depends on scope. Focused tools start in the tens of thousands of dollars, business platforms typically sit between roughly $40,000 and $100,000, and SaaS or enterprise systems can run well beyond that. The main cost drivers are the number of workflows and user roles, integrations, security needs and data migration. A short discovery phase gives you a reliable estimate.
How long does it take to build custom software?
A focused first release often takes two to four months. Larger platforms are usually delivered in phases over six to eighteen months, with working software at the end of each phase.
Should we build custom software or buy off-the-shelf?
Buy when your process is standard and an existing tool fits with light configuration. Build when your process is a competitive advantage, when workarounds are costing real time, when licence costs scale badly or when you need to integrate systems that do not connect. We will give you an honest view in the first conversation.
Who owns the code?
You do. At project completion, the source code, designs and documentation are transferred to you, and the contract states this clearly.
Can you work with our in-house team?
Yes. We regularly work alongside internal developers, product owners and designers, either as a delivery team or as specialists in areas such as architecture, mobile or AI.
How do you protect our data and ideas?
We sign a non-disclosure agreement before detailed discussions, restrict access to project data, and follow secure development practices. Infrastructure is deployed in your own cloud account where you prefer.
Can you modernise or take over an existing system?
Yes. We start with a technical review of the code, infrastructure and risks. From there we recommend whether to refactor, rebuild in stages or leave it alone, and we avoid big-bang rewrites where a staged migration is safer.
How do you handle time zones and communication with clients abroad?
We schedule overlap hours with your team, use shared project boards, run regular demos and provide written updates. Clients in the US, UK, UAE, Canada and Australia work with us across time zones using this rhythm.
What happens after launch?
We monitor the system, fix issues, apply security updates and plan improvements. Maintenance plans range from basic monitoring to a dedicated team that continues to develop new features.