Questions before you build, grow or transform your business?

We build and grow digital products: websites and web platforms, mobile apps, AI systems, and the cloud infrastructure underneath them — then run the search and paid campaigns that bring people to them.

In practice that means two kinds of work sit under one roof. One side engineers the product; the other side makes sure the right audience finds it. Clients come to us for either, and often move from one to the other once the first piece is live. More about how the team is set up.

Mostly businesses where software is the operation, not a brochure — service companies, retail and ecommerce, education, healthcare, logistics, real estate and B2B firms selling considered purchases.

What they have in common is a process worth automating or a market worth competing in. What they do not have in common is size: a two-person founding team and a company with an existing IT department can both need the same first six weeks of clear thinking.

Yes, and the engagements look different. A startup usually needs the smallest honest version of the product shipped fast so the market can answer a question. An established business usually needs new software to survive contact with systems, staff and data that already exist.

We scope those differently. Startup work is biased toward speed and reversible decisions; established-business work is biased toward integration, migration and not breaking what already earns money.

Yes — discovery, product design, engineering, deployment, and the growth work after launch can all sit with one team.

The advantage is not convenience, it is accountability: when the design, the backend and the ad campaign are owned by the same team, nobody gets to blame the other two when a number is disappointing. See how the design phase works and what we run in production.

Yes. Plenty of engagements are a single slice — a frontend rebuild, an API layer, a design system, an app store release, or paid campaign management for a product someone else built.

We ask for one thing in return: a clear boundary. Knowing exactly where our responsibility starts and stops is what keeps a partial engagement from turning into a shared-blame situation later.

Our team works from Kolkata, India — DN-51, Sector V, Salt Lake — and we serve clients across India, the UAE and Australia.

Delivery is in-house rather than subcontracted, which is the reason the same engineers who scoped your project are the ones who answer questions about it eighteen months later.

Yes. A large share of our work is for clients in other countries and time zones, and the working pattern is built around that rather than apologising for it.

That means a scheduled overlap window each day, written updates that make sense when read eight hours later, and demo builds you can open yourself instead of waiting for a call. Tell us where you are and we will propose a rhythm.

A web development company turns a business requirement into working software in a browser — the interface, the server logic, the database, the integrations and the hosting that keeps it available.

The visible part is the site. The part that decides whether it succeeds is everything behind it: how data is modelled, how the content is edited, how traffic spikes are absorbed, and how the thing gets changed a year from now without a rewrite.

Marketing and corporate sites, ecommerce storefronts, customer portals, booking and enquiry systems, internal dashboards, SaaS products and line-of-business applications.

The split matters more than the label. A content site is won on speed, clarity and search visibility. An application is won on data modelling, permissions and workflow. We scope them as different disciplines even when they ship on the same domain. Our web development services cover both.

We build custom — the interface, the components and the backend are written for your requirements rather than adapted from a purchased theme.

That said, we are not precious about it. If a business needs a five-page site live in two weeks on a small budget, a well-chosen platform is the honest recommendation and we will say so. Custom earns its cost when the product has real logic, real integrations or a brand that has to be unmistakable.

Yes, and it is a large part of what we do. Rebuilds start with an audit of what currently works — traffic, ranking pages, converting journeys — because the usual way to lose money in a redesign is to throw away the pages that were quietly earning.

We map the old URLs to the new ones, preserve the content that has authority, and stage the cutover so the switch is a planned event rather than a surprise. Where existing rankings are at stake, the migration is planned alongside the SEO work rather than left until after launch.

Yes — that is usually the strongest case for custom software, because the process already exists and the value is in removing the manual steps holding it together.

We start by watching the current process honestly, including the spreadsheet someone maintains at night and the WhatsApp group that is really the approval workflow. Software that ignores those gets abandoned in month two.

Yes, both, in the same team. Frontend work covers the interface, accessibility and performance; backend covers APIs, data modelling, authentication, background jobs and integrations.

Keeping them together avoids the most common delivery failure we see: an interface designed for data the API was never going to return in that shape.

Yes — payment gateways, CRMs, ERPs, accounting tools, shipping and logistics providers, messaging services, analytics, and internal systems that only your company runs.

Integrations are scoped separately from the rest of the build, because their cost lives in the other system's limits: rate limits, sandbox quality, documentation, and how it behaves when it is down. We test against failure, not just the happy path.

A focused business website is typically a few weeks; a web application with accounts, roles and integrations is typically a few months — and the range is wide because the variables are real.

What moves the timeline: how settled the requirements are, how many user roles exist, how much content has to be written or migrated, how many external systems are involved, and how quickly feedback comes back from your side. That last one is the most common cause of slipped dates, and the easiest to fix.

Cost is driven by scope rather than page count, so we quote after a scoping conversation rather than from a price list.

The variables that actually move the number: how many distinct user journeys exist, whether design is new or established, how many integrations are in play, whether content is supplied or produced, the compliance requirements, and the level of support you want afterwards. We break the estimate down by those lines so you can see what removing a feature would save.

Yes — dependency and security updates, monitoring, backups, small content and feature changes, and performance work as traffic grows. Where we also run the cloud infrastructure and DevOps, both sit in one engagement.

Maintenance is quoted as its own engagement rather than assumed. Some clients want us on call; others take the codebase in-house and call us for larger changes. Both are fine, and both are easier when the handover documentation was written during the build rather than after it.

Software where a model does part of the work — extracting information, answering questions against your own documents, classifying or routing incoming requests, generating drafts, forecasting, or automating a decision a person currently makes by hand.

The engineering around the model is the larger half of the job: data access, retrieval, evaluation, guardrails, fallbacks, logging and cost control. A demo needs a prompt; a production system needs all of that.

Assistants and chat interfaces grounded in your own content, document and invoice processing, search and recommendation, classification and routing, forecasting from historical data, and agents that carry out multi-step tasks against your systems.

Which of those is right is a scoping question, not a menu choice. See our AI development services for how these are delivered.

Yes — built around your workflow and your data rather than a generic product you have to bend your process around.

Custom is worth it when the value comes from your specific data or a step unique to your operation. When an off-the-shelf tool already does the job, we will tell you that instead; the integration work is cheaper and the outcome is the same. More on how custom AI software development is scoped and run.

Yes, and it is usually the lower-risk starting point — one feature added to software people already use beats a separate AI tool nobody opens.

The work is typically an isolated service alongside your application, so the existing system keeps working exactly as it does today if the AI feature is switched off. That switch matters more than it sounds.

Yes. A chatbot answers questions from a defined knowledge base; an agent takes actions across systems — creating a ticket, updating a record, sending a scheduled reply.

Agents raise the stakes, because a wrong answer becomes a wrong action. We scope them with explicit permissions, a record of every action taken, and human approval on anything expensive or irreversible.

Yes — through retrieval against your documents, databases and internal systems, so answers come from your material rather than the model's general knowledge.

Two things decide whether this works: whether the source content is actually accurate, and whether permissions are respected so a user cannot retrieve a document they could not otherwise open. We treat the second as a hard requirement, not a later phase.

Yes — generative features such as drafting, summarising, rewriting, structured extraction and content assistance, built on current commercial models rather than trained from scratch.

Training a model from zero is rarely the right answer for a business problem. Retrieval, careful prompting, evaluation and occasionally fine-tuning cover the vast majority of cases at a fraction of the cost and time.

We look for a repeated task with a measurable cost and a tolerance for imperfect answers — if all three are not present, AI is usually the wrong tool and we say so.

A task done twice a month is not worth automating. A task where a 5% error rate is unacceptable and unreviewable is a poor fit. A task with no baseline measurement cannot be proven to have improved. Plenty of problems that arrive labelled "we need AI" turn out to be a reporting problem, a data-entry problem, or a process nobody has written down — and those are cheaper and more reliable to fix directly.

When AI does fit, we want a baseline number before the build starts, so the result is arguable from data rather than from enthusiasm.

Yes — and that gap is where most AI projects stall, so we plan for it explicitly.

Production means an evaluation set you can re-run after every change, monitored cost and latency, defined behaviour when the model is slow or unavailable, logs you can inspect when someone reports a bad answer, and a way to improve the system without breaking what already worked.

We decide first what data the system is allowed to see, then build so it cannot see anything else — permission checks at retrieval time, minimum necessary data, and no silent copying of records into places that were never approved.

Model providers are chosen with their data handling terms read rather than assumed, and sensitive workloads can be kept inside your own cloud infrastructure. Where your industry carries specific obligations, we want them written into the scope at the start; we do not claim certifications we do not hold.

Yes, and AI systems need it more than conventional software — the models change underneath you, and your own content changes.

Ongoing work usually means reviewing real conversations for failures, expanding the evaluation set, updating retrieval as documents change, testing new model versions before switching, and watching cost per request as usage grows.

It takes a product idea through design, engineering, store review and release — then keeps the app working as phones, operating systems and store rules change underneath it.

The build is the shorter half. Devices, OS versions, offline states, permissions, notifications, store policy and update cycles are what make mobile different from web, and they are where inexperienced projects lose months.

Yes — both platforms, usually released together.

They are not identical products. Navigation conventions, permission prompts, payment rules and review expectations differ, and an app that ignores those reads as foreign on one of the two. We budget for the differences instead of pretending they do not exist. See our mobile app development work.

Both, chosen per project rather than by preference.

Cross-platform fits products that are mostly screens, data and forms — one team, one codebase, two stores. Native earns its extra cost when the app leans on heavy device capability: sustained background work, complex camera or sensor use, tight platform integrations, or performance-critical graphics. We make that call in scoping and explain the trade-off in plain terms.

Yes — Flutter is one of the cross-platform stacks we build with, alongside React Native.

The choice between them usually comes down to what surrounds the app: the skills of the team who will maintain it, whether a web version shares logic, and which native modules the product depends on. Either is a sound decision made for the right reason, and a poor one made by default.

Yes, and the first job is narrowing it. Most ideas arrive containing three products; the useful first release contains one.

A short discovery and design phase turns the idea into user journeys, a feature list split into launch and later, and a realistic estimate. That phase is cheap compared with building the wrong two-thirds.

Yes — either a visual and UX redesign on the existing codebase, or a rebuild when the code is the thing holding the product back.

We review the current app first: crash rates, store reviews, drop-off in the key journeys and the state of the code. That review decides which of the two you actually need, and it is worth doing before anyone opens a design tool.

Yes — shared accounts, shared data and a single source of truth across web and mobile are standard, whether the web and backend build is ours or already exists.

Where an existing API was built only for a website, some adaptation is normal: mobile clients need smaller payloads, offline tolerance and versioning, because you cannot force every user to update on the same day.

Yes — store accounts, builds, signing, listings, screenshots, privacy declarations, review submissions and staged rollouts.

We publish under your own developer accounts wherever possible. It costs a little more setup at the start and means the app, its reviews and its history belong to you permanently.

A focused first release is typically a few months from kickoff to store approval, with larger products running longer.

The timeline moves with the number of user roles, whether payments or subscriptions are involved, how many backend integrations exist, whether design starts from scratch, and store review — which is outside anyone's control and should always be given room in the plan.

It depends on scope, and we quote after scoping rather than from a rate card.

The main cost drivers: number of screens and user roles, native platforms required, payments and subscriptions, offline behaviour, third-party integrations, whether an admin panel is needed alongside the app, and the level of ongoing support. An admin panel is the line most often forgotten in early budgets.

Yes — OS updates, store policy changes, dependency upgrades, crash monitoring and iterative improvements based on real usage.

Mobile maintenance is not optional in the way web maintenance sometimes is. Two annual OS releases and shifting store requirements mean an unmaintained app degrades on a predictable schedule.

It works on three things: whether search engines can crawl and understand the site, whether the site has content that answers what people search for, and whether other credible sites reference it.

Everything legitimate in this field is one of those three. Anything promising results without touching any of them is selling something else.

We start with a technical and content audit, then sequence the work by what will move qualified traffic soonest for that specific site.

For a site with technical problems, fixing indexing and speed comes first. For a technically sound site with thin content, the work is editorial. Running the same checklist regardless of the site is how budgets get spent on activity instead of outcomes. Our SEO and digital marketing services are scoped from that audit.

SEO typically takes several months to produce meaningful results, though the timeline depends on the site's existing authority, the competition, its technical condition, content quality and where it is starting from.

Technical fixes can show within weeks because the pages were already there and simply were not being served properly. New content competing in an established market is the slow end — months, not weeks. A site with no history takes longer than an established domain publishing into a topic it already covers.

Yes, with the honest caveat that new sites take longer because they have no track record for search engines to rely on.

The workable strategy for a new site is to win narrower ground first — location-specific and long-tail queries where competition is thinner — and use that traction to compete for broader terms later. Targeting the most competitive keyword in the market on day one wastes the first six months.

Yes — crawlability and indexing, site architecture, internal linking, page speed and Core Web Vitals, structured data, canonicals, redirects, sitemaps and mobile rendering.

Because the same team also handles web development, technical fixes usually land as code changes rather than recommendations handed to someone else. That difference is often the whole reason a backlog finally clears.

Yes — profile setup and optimisation, categories and service areas, review handling, local landing pages and consistent business listings.

For businesses that serve a defined area, local search is frequently the highest-intent traffic available and the fastest to improve, because the competitive set is small enough that thoroughness wins.

Yes. Most SEO work is content, structure and technical correction, none of which requires a new design.

A rebuild only becomes the recommendation when the platform itself is the ceiling — pages that cannot be edited, templates that cannot be made fast, or a structure that cannot express the topics you need to cover. We would rather fix the site you have.

By intent and commercial value first, volume second — a term searched two hundred times a month by people ready to buy beats one searched twenty thousand times by people browsing.

We look at what currently ranks for a term to judge what Google thinks the query means, whether your site could realistically compete for it, and whether the resulting visitor is someone your sales process can convert.

Yes — service pages, location pages, comparison and buying-guide content, and supporting articles, produced with input from people who know the subject.

Content written purely from other search results reads like every competitor and earns nothing. We ask for a short interview with someone in your business for anything technical; it is the difference between a page that ranks and a page that only exists.

Against business outcomes — qualified organic traffic, enquiries and revenue — with rankings and impressions as diagnostics rather than the headline.

Reporting covers what changed, what it produced and what is next. Rankings alone are easy to make look good and easy to disconnect from anything you can bank.

Yes, and running both is usually better than either alone. Paid search buys immediate presence and, more usefully, tells you within weeks which queries actually convert.

That data makes SEO decisions less speculative: you invest content effort in the terms already proven to produce customers, while paid covers the terms too competitive to win organically in the near term.

No — and no legitimate SEO company can. Google's ranking systems are not controlled by any agency, results vary by user and location, and the algorithm changes constantly.

Anyone guaranteeing a specific position is either counting on terms so uncompetitive that nobody searches them, or planning tactics that put your domain at risk. Google's own guidance says the same thing.

What we commit to is the work and the transparency: an agreed scope, the changes made, the reasoning behind them, and honest reporting on what they produced — including when the answer is that something did not work.

It plans, builds and manages paid campaigns across Google's networks — keyword and audience research, campaign structure, ad copy, bidding, conversion tracking and continuous optimisation against results.

Most of the value is in the unglamorous half: accurate conversion tracking, tight targeting and steadily removing the spend that never had a chance of converting.

Yes — search is usually where we start, because intent is highest and the feedback loop is fastest.

Setup covers account structure, keyword and negative-keyword lists, ad copy and assets, tracking that reflects real enquiries, and the bidding approach for the account's stage. Google Ads management runs as an ongoing engagement rather than a one-off build.

Yes. Display and YouTube work differently from search: the person is not looking for you, so the job is interruption done well rather than answering a query.

They are strongest for remarketing to people who already visited, and for demand generation once search is capturing everything it can. Judged on the same metrics as search, they usually look worse than they are.

By what the searcher is trying to do and what that click is worth to you, then by cost and competition.

Early on we buy a controlled amount of learning: a tight set of high-intent terms, close match types, and a growing negative list. Broad targeting on a new account spends the budget teaching the platform things you did not need to learn.

Around how the business actually makes money — usually split by service line, margin or geography, so budget can be shifted toward what pays.

Structure is a budgeting decision more than an organisational one. If two services with very different margins share one campaign, you lose the ability to favour the profitable one.

By tracing spend through to qualified enquiries and closed revenue, not to clicks or raw lead counts.

That requires conversion tracking that only fires on real enquiries, and a way to tell us which of those became customers — a CRM export or even a monthly list. Without that feedback, optimisation is aimed at the wrong target, however good the reports look.

Enough to buy statistically meaningful data in your market within a reasonable window — which depends entirely on your cost per click and how many enquiries it takes to make a sale.

The arithmetic is simple and we do it with you before committing: typical click cost, realistic conversion rate, and the number of conversions needed to judge the test. If the honest answer is that the budget cannot reach that threshold, we will say so rather than spend it slowly.

Traffic starts the day campaigns go live, and first enquiries often arrive within days — but the first few weeks are a learning period, not a verdict.

Early cost per lead is usually the worst it will be. Judging the channel on week one is the most common way businesses abandon paid search just before it starts working.

Yes. Taking over an account starts with an audit: tracking accuracy, wasted spend, search term reports, structure and what the history actually shows.

We keep what is working. Rebuilding a functioning account from scratch throws away its learning, and that has a real cost — one worth paying only when the foundations are genuinely broken.

By reading search term reports regularly and cutting what does not belong — irrelevant queries, job seekers, students, competitors and locations you cannot serve.

Then by tightening the rest: match types, schedules, device and location adjustments, and pausing what has had a fair chance and not delivered. It is maintenance work, and it is where a managed account earns its fee.

Yes — and because web development sits in the same team, that usually means changing the page rather than filing a request with whoever does.

The page decides whether the click was worth buying. Message match with the ad, speed on mobile, a form that asks only what you need, and visible proof do more for cost per lead than most bid adjustments.

No. Lead volume depends on your market's search demand, competitors' budgets, your pricing and your offer — variables no agency controls.

What we can commit to is disciplined management: accurate tracking, tight targeting, honest reporting, and telling you early if the numbers say this channel is not viable for your business. A guaranteed lead count is a sales tactic, and the leads it produces are usually the cheap kind that do not close.

It runs paid campaigns across Facebook and Instagram — audience strategy, creative, campaign structure, budget and bidding, tracking, and iteration based on what performs.

The centre of gravity is different from search. On Meta the creative and the offer carry most of the performance, because you are interrupting someone rather than answering them.

Yes — both run through the same ad platform, and we manage them together with placements chosen by what the campaign needs.

Creative is adapted per placement rather than uploaded once. A video built for feed rarely performs as a story or reel without reframing. Meta Ads management sits alongside our other growth work.

Lead generation, traffic, sales and catalogue campaigns, app installs, remarketing to site visitors or customer lists, and awareness campaigns where that is genuinely the goal.

Objective choice matters more than most settings, because it decides which people the platform shows you to. A campaign optimised for traffic will find clickers; one optimised for leads will find people who fill in forms.

We start from your existing customers — remarketing, customer-list audiences and lookalikes built from them — before reaching into cold interest targeting.

Meta's delivery system finds audiences well when it has good signal, so the work is less about narrow demographic slicing and more about clean conversion data and creative that filters the right people in.

Yes, though it works differently than for consumer products and the expectations have to shift with it.

B2B buyers are on these platforms, but not in buying mode — so the offer usually has to be lighter than "book a demo": a guide, a webinar, a tool, a case study. Meta also tends to be better for building the audience that later converts through search or direct, which means judging it purely on last-click will undersell it.

Yes — catalogue-driven campaigns, dynamic product ads and abandoned-cart remarketing, with the product feed and pixel or Conversions API events set up properly.

For ecommerce the feed is infrastructure: wrong prices, missing images or stale stock quietly suppress performance in ways the campaign settings cannot fix.

On cost per qualified result and return on ad spend, cross-checked against your own analytics and sales data rather than the ad platform alone.

Platform-reported conversions are directional. Attribution changes and privacy controls mean Meta and your analytics will rarely agree exactly; we reconcile them and report the honest range instead of quoting whichever number looks better.

Google captures existing demand — someone is already searching for what you sell. Meta creates it, putting your offer in front of people who were not looking.

That single difference explains most of the rest: search wins on intent and usually converts faster, while Meta wins on reach and creative and typically needs a stronger offer to earn attention.

If people already search for what you sell, start with Google. If they do not know your category exists, or the product is visual and impulse-friendly, start with Meta.

Running both makes sense once one is working and the budget can support each properly — splitting a small budget across two channels usually produces two underpowered tests and no conclusion.

Yes — static and video creative, copy variants, and the landing pages the campaigns point to.

Having design, web and campaign management in one team is a practical advantage here: creative gets refreshed on the schedule performance demands, and a landing page change takes days rather than a procurement cycle. Design capability sits in the same studio.

With a conversation about the problem, not the technology — what you are trying to change, for whom, by when, and what constraints are fixed.

From there we either scope directly, if the requirement is clear, or propose a short paid discovery when it is not. Start a conversation and the first call costs nothing.

No. Most clients arrive with a goal and a rough shape, and writing the specification is part of the work.

Bring what you have — the problem, examples of products you like, any deadline or budget constraint. A detailed spec written without engineering input often needs unpicking anyway, so an imprecise brief is not a bad starting point.

By breaking the work into features and phases, sizing each, and showing you the breakdown rather than a single figure.

A visible breakdown lets you make real decisions — cut this, defer that, keep the thing that matters. Where something is genuinely uncertain we say so and put a range on it instead of a false number.

You get a written proposal: scope, approach, phases, timeline, commercial terms and what we need from your side.

That last part is the one most often skipped elsewhere and the one that most often causes delays — content, approvals, access to existing systems, and who on your side can make a decision.

A shared channel for day-to-day questions, a scheduled call each week, and written summaries of decisions.

Decisions go in writing even when they were agreed on a call. Six months later nobody remembers why a rule works the way it does, and the written trail is what keeps that from becoming an argument.

On a staging environment you can open whenever you like, updated continuously — not screenshots.

Using the real thing surfaces problems that no document review catches. We would rather hear "this flow feels wrong" in week three than after launch.

Small refinements are normal and absorbed as we go. Changes that alter scope get assessed for time and cost, and you decide before anyone starts.

No surprise invoices, and no quiet timeline slip. If a change pushes a date, you hear it when the change is proposed rather than at the deadline.

Yes — a defined support period after release, and optional ongoing maintenance after that.

Launch is when real usage starts finding the things testing did not. Planning for that period, instead of treating the release date as the end, is what separates a smooth first month from a stressful one.

Yes — as an extension of your team, on a defined module, or as specialists alongside your developers.

Blended teams work when ownership is explicit: who reviews code, who controls deployment, who decides architecture. We agree that in week one rather than discovering it during an incident.

Yes, and for anything ambitious we usually recommend it — a short paid phase producing requirements, user flows, technical approach and a costed plan.

The output belongs to you whether or not you continue with us. That is deliberate: a discovery you can take elsewhere is a discovery you can trust to be honest. How we work goes into more detail.

It depends on what the site has to do, so we quote per project rather than publish a price list that would be wrong for most enquiries.

The drivers: number of unique page templates, whether design is new or existing, how much content has to be written or migrated, integrations such as payments or CRM, multilingual requirements, and the support you want afterwards. A brochure site and a customer portal are different products even when both are "a website".

Cost follows complexity: the number of user roles, the depth of business rules, integrations with existing systems, data migration, and the reliability the system has to meet.

A tool used by five people internally and a platform used by five thousand customers can share a feature list and differ several-fold in cost — the difference is in the failure modes each has to survive.

Driven by platforms, screens and integrations — one platform costs less than two, and cross-platform costs less than two native builds.

Also on the invoice, and often missing from early budgets: the admin panel, backend APIs, store accounts and assets, and post-launch maintenance for OS updates. We itemise those so the comparison between quotes is fair.

AI projects carry a build cost and a running cost, and the second is what surprises people.

Build cost depends on data readiness, integration depth and how much evaluation the use case demands. Running cost depends on volume, model choice and how much context each request carries. We model the expected monthly cost during scoping, because a feature that is brilliant and unaffordable at scale is not a feature.

Enough to sustain consistent work for at least six to twelve months, because three months of SEO reliably produces a bill and rarely produces results.

The right level depends on competition, the site's current condition and how much content is needed. If the honest assessment is that the available budget cannot compete in your market, we would rather point you at paid search or local search first than take the retainer.

Enough that the account can gather meaningful data within a few weeks — set by your market's click costs and your conversion rate, not by a standard package.

Budget also splits two ways: media spend to the platform and management fee for the work. We keep those separate on every proposal so you can see exactly what reaches the auction.

Enough to test several creatives properly, since creative is the main variable and one ad is not a test.

Budget for creative production as well as media. Meta audiences fatigue, so campaigns need a refresh cadence built into the plan rather than treated as an unexpected extra in month three.

Yes, when scope is well defined — usually after a discovery phase has removed the major unknowns.

Fixed price is genuinely better for both sides on clear scope. On unclear scope it forces padding to cover risk, and every change becomes a negotiation, which is why we prefer to define the scope first and fix the price second.

Yes — allocated engineers working with you on a monthly basis, for continuous roadmaps rather than one-off projects.

It suits companies with evolving priorities and internal product ownership. What it needs from your side is someone who can prioritise week to week; without that, a dedicated team is expensive idle capacity.

Yes, and we often suggest it — a discovery phase, a single module, an audit or a first campaign before committing to a larger programme.

A small first engagement is the cheapest way for both sides to find out how the other works. We would rather earn the larger project than sign it on a first call.

Primarily React and Next.js on the frontend, Node.js, Python and Go on the backend, with SQL and document databases, deployed to AWS or Google Cloud. Mobile is built with Flutter or React Native, and native where a product needs it.

We keep the stack deliberately narrow. A team that knows a few technologies deeply ships more reliably than one that picks a new framework per project, and it makes your codebase maintainable by someone other than its author.

Yes — CRMs, ERPs, accounting and payment systems, logistics providers, messaging platforms and in-house applications with private APIs.

Where no API exists we look at the alternatives honestly: scheduled file exchange, a database-level integration, or a small service in front of the legacy system. Each has trade-offs, and the right answer depends on how often the data has to move.

Yes — both, plus other providers where a client already has a commitment.

We deploy into your own cloud account by default. It costs a little more to set up and means the infrastructure, the data and the billing relationship are yours — no dependency on us for access to your own systems. Cloud and DevOps services covers this in detail.

Yes, and the useful question is scale to what — expected users, growth curve and traffic pattern change the architecture entirely.

We build for the next order of magnitude rather than the theoretical maximum. Designing day one for a million users you may never have is a reliable way to spend the budget on infrastructure instead of product.

As part of the build rather than a review at the end — authentication and authorisation modelled up front, encrypted transport and storage, dependency updates, secrets kept out of code, and least-privilege access to infrastructure.

Standard practice covers most of it: input validation, protection against common web vulnerabilities, audit logging on sensitive actions, and tested backups. If your industry carries specific regulatory obligations, tell us at scoping so they shape the design. We do not claim certifications or compliance standards the company does not hold.

Yes. We start with a paid code and infrastructure review — what state it is in, what the risks are, and what it would cost to work with versus rebuild.

You get that assessment in writing regardless of what you decide next. Takeovers go wrong when someone promises a smooth transition before reading the code; inherited systems usually have at least one surprise, and it is better to price it than discover it.

Yes — ongoing maintenance and continued development, whether we built the system or inherited it.

Most products earn their value after launch, not at it. The teams that keep shipping small improvements against real usage end up far ahead of those who treated release day as the finish line.

Yes — infrastructure setup, CI/CD pipelines, containerisation, monitoring and alerting, backups and recovery, and cost optimisation.

Cost optimisation is worth naming separately. Cloud bills grow quietly, and a periodic review of what is actually running frequently pays for the engagement. See our cloud and DevOps work.

Yes, under an agreed support arrangement with defined response expectations and a named point of contact.

We match the level to the system's importance. A revenue-critical platform warrants monitoring and fast response; an internal tool used in office hours does not, and paying for it would be waste.