You describe what you need in your own words. We turn it into a spec you read and approve, and a time and budget estimate we stand behind. All the way to a working system in production.
A binding estimate comes after a spec phase, not after one call. Anyone who gives you a number after an hour is guessing.
A spec you approve, an estimate we meet, and a system that goes live. One team for the spec, the build and the upkeep.
Hundreds of rules gathered over decades, in chapters such as security, performance and user experience. Every requirement we write is checked against them.
Owners who have run software houses since 1989, development in India since 2004, a presence in Portugal since 2023. Our own products have run at customer sites for years.
Among our clients
Each one gives you a spec you approve, an estimate we meet, and code that stays documented.
A new system, a legacy replacement, or AI inside a product you already run.
Software is not your business, but the system is. We build it documented, readable and maintained, so you never depend on one person or one vendor. Security by default: ISO 27001, OWASP Top 10, hardened servers.
From an idea, or a prototype that got stuck, to a product you can raise money on.
We tell you what to build now, what to postpone and what it will cost, before you spend a cent. Built it in Lovable or Bolt and hit a wall? We take it to production, with security and code any team can pick up.
Consulting and hands-on rollout of AI-assisted development in the team you already have.
Bought the licenses and watched developers drift back to the old way? We install what runs our own development, the toolkit, the Skills and the development rule book, on your repo, and work alongside the team until it becomes how they work. Early partner program, limited places.
Connections between your systems, built like software.
Automation that does not fail silently: a spec, error handling, monitoring, and full ownership of the accounts and workflows. n8n, Make or Zapier, whichever fits, and code where the tool runs out.
One hour. You talk, we ask and record. At the end you get what we understood, the questions that will set the scope, and a fixed price for the spec phase.
The meeting recordings become a spec in two versions: one you read and approve, and one for developers that includes what you did not know to ask for. At the end: a binding time and budget estimate.
The spec is yours, even if you decide not to continue with us.
AI agents write and test the code. Experienced developers supervise and are accountable for every line. The spec and the code stay current and documented through delivery, and after it.
In DocsRobot, our own product, an AI system tests the product every night, in Hebrew and English, and files its own bug reports.
Every requirement we write is checked against our development rule book: hundreds of rules gathered over decades, in chapters such as security, performance and user experience. A rule that applies and is not obvious goes into the developer version of the spec. No client asked for these up front. All of them are in every system we build.
What you get: monthly billing, a weekly report, a yearly reminder. All fully tested before launch, not after the first month has passed.
The rule: any system with daily, weekly, monthly or yearly processes runs on a simulation clock we control, not on the server clock. In testing we move the clock forward and watch what happens. Without it there is no full acceptance test for a recurring process, only waiting and hoping.
What you get: no customers charged twice, no duplicate records, no “how did this happen?” calls to support.
The rule: every operation with side effects (creating a record, charging, sending an email, requesting a signature) takes an Idempotency-Key. The server claims the key atomically, stores the request hash with the final response, and returns that same response on every repeat. Same key with a different body: 409. Networks and clients retry; that is not a fault, it is reality. With this rule, a retry turns from a source of bugs into a safety mechanism.
What you get: isolation at the architecture level, with an automated test that runs on every build. A mechanism, not a promise.
The rule: in a multi-tenant system the tenant identity comes only from the authenticated token, never from an ID sent in the body, a header or the URL. Filtering is enforced in one central place, so a missing filter is structurally impossible. Automated tests with two tenants confirm that A cannot see B through any endpoint. We do not rely on discipline; we build it so the mistake cannot happen.
When the SaaS vendor we depended on threatened to shut down our system, we had about two months to replace it with one of our own. Assembly listened to what we needed, came back with a clear scope, a delivery date and a budget, and delivered exactly that, on the date and budget they quoted.
That version went live and became the foundation of our digital business. Since then Assembly has effectively been our in-house technology team, with no surprises in our financial planning. If you need a partner who will tell you what is possible, when and for how much, and then do it, I recommend Assembly without hesitation.
Although I worked directly with developers in India for many years, I chose to move our development to Assembly. The service is a different experience altogether: someone who really understands you and does not dodge direct questions, and a company that feels responsible for what it delivers. If you know what you want and need a professional force multiplier, talk to Assembly.
At the end you will know what we understood, which questions are open, and what the spec will cost. If we think it is not worth building, we will say that too.
Or directly: info [at] assembly-infotech.solutions
Plot no. E-309, Phase 8/A, Mohali, Punjab 160055, India