About us
An engineering firm, run by people who still write code
Beambyte Solutions Private Limited started in Ahmedabad in 2015 building websites and custom applications. A decade on, the work has moved up the stack — platforms, integrations, cloud infrastructure and now AI systems — but the operating model has not changed: small senior teams, direct access to the people doing the work, and a preference for saying the difficult thing early.
- 2015
- Building software since
- 10+
- Years in engineering delivery
- 6
- Core capability practices
- Ahmedabad
- Engineering base, serving globally
Where we came from, and where the work is now
We began as a web and software development company serving businesses across Gujarat and, before long, clients abroad. The early years were spent on e-commerce builds, custom back-office applications and the kind of integration work that never appears in a portfolio but keeps a company running.
What changed was not the type of client but the type of problem. The businesses we work with now have more systems, more data and more expectation of what software should do for them. A retailer no longer wants a website; they want a storefront, an inventory sync, a customer service desk and a forecast that agrees with all three. That shift is why our practice today is organised around platforms and AI rather than around individual technologies.
We are deliberate about the AI part. A great deal of what is currently sold as AI transformation is a demo with no path to production. We take on AI work when there is a measurable outcome attached to it, and we structure the engagement so you can stop after the assessment if the numbers do not justify a build. That has cost us projects. It has also meant every AI system we have put into production is still running.
The team is based in Ahmedabad and works with clients across India, the Gulf, the United Kingdom, Europe and North America. Engagements are run in English, written-first, with a fixed weekly review and a defined overlap with your working day.
Beambyte Solutions Private Limited
Ahmedabad, Gujarat, India
Call or WhatsApp
Working languages
English, Hindi, Gujarati
How we work
Six phases, and what each one produces
Not every engagement uses all six — an advisory project ends at phase two — but the sequence and the artefacts are consistent.
- 011–2 weeks
Understand
We start with the business outcome, not the feature list. Interviews with the people who will use the system, a look at the data and integrations that already exist, and an honest read on what is actually constraining you today.
- Problem statement
- Constraint and risk register
- Success measures
- 022–4 weeks
Shape
Architecture, interface design and a scoped backlog. Where there is genuine technical uncertainty we build a throwaway spike against real data to resolve it before it becomes an estimate you have to trust.
- Target architecture
- Interactive prototype
- Range-based estimate
- 03Continuous
Build
Two-week increments, each ending in working software deployed to an environment you can use. Your repository, your cloud account, tests and CI from the first commit rather than retrofitted before handover.
- Deployed increments
- Automated test suite
- Sprint demos
- 041–3 weeks
Harden
Load and security testing, accessibility verification, observability wired up, runbooks written and a rollback path proven. The work that determines whether launch week is uneventful.
- Performance baseline
- Security review
- Operational runbook
- 05Per release
Launch
Progressive rollout with monitoring against defined service objectives, so problems are caught by instrumentation rather than by your customers, and a rollback is a routing decision.
- Release plan
- Monitoring dashboards
- Go-live support
- 06Ongoing
Evolve
Support under defined SLAs, dependency and security patching, and a roadmap that keeps moving. Or a structured handover to your own team, which is a perfectly good outcome.
- Support SLA
- Roadmap reviews
- Knowledge transfer
Principles
What we commit to, in writing
These appear in our proposals as well as on this page. If we fall short of one of them on your project, we would rather hear about it than not.
Say what will not work
The most valuable thing a technology partner can do is talk you out of the expensive mistake. If AI is the wrong tool, if the platform you have chosen is wrong for your catalogue, if the timeline cannot hold — you hear it while it is still cheap to change.
You own everything
Your repository, your cloud account, your data, your IP. No proprietary framework you have to keep paying to maintain, and no hostage-taking at the point of handover.
Working software over status reports
Progress is demonstrated in a deployed environment you can click through, every two weeks. A green project status with nothing to show is not progress.
Measure before claiming
Accuracy, latency, cost per transaction, conversion — instrumented and reported from real usage. Especially for AI features, where the demo and the deployment behave very differently.
Build for the team who inherits it
Typed, tested, documented, with architecture decisions recorded and the reasoning preserved. The measure is whether an engineer who joins next year can make a change safely.
Security is not a phase
Threat modelling in design, scanning in the pipeline, least privilege by default, and secrets managed properly from the first environment rather than the one before launch.
Engagement models
How projects are structured
Chosen by how much certainty exists at the start of the work, not by what is easiest to invoice.
Fixed-scope project
Well-defined outcomes with a clear boundary
A scoped phase with an agreed deliverable, timeline and price, following a paid discovery. Best when the requirements are stable enough that change control is not going to dominate the engagement.
- Defined scope and acceptance criteria
- Fixed price and delivery date
- Change requests handled explicitly
- Warranty period after handover
Dedicated team
Ongoing product development
Named engineers, designers and QA working as an extension of your team on a monthly rolling basis. You set priorities each cycle; we bring the delivery practice.
- Named team members with overlapping hours
- Monthly rolling terms, 30-day notice
- Your process, tooling and standups
- Scale up or down between cycles
Advisory & assessment
Decisions before commitment
Fixed-scope advisory: architecture review, AI readiness, technical due diligence or fractional CTO time. Priced independently of any build that might follow.
- Written assessment with evidence
- Working sessions with your team
- Vendor-neutral recommendation
- Follow-up review after adoption
Questions
Working with Beambyte
What size of engagement do you take on?
Most engagements start somewhere between a four-week assessment and a six-month build with a small dedicated team. We are candid when something is too small to justify the overhead of an external partner, or large enough that you would be better served building the capability in-house — and in the second case we will help you do that.
How do you handle time zones and communication?
Our team is based in Ahmedabad and works with clients across India, the Gulf, Europe, the UK and North America. We commit to a defined overlap window with your working day, run written-first communication so decisions are searchable, and hold a fixed weekly review regardless of geography.
What happens to our data during a project?
Access is least-privilege and time-bound, production data is not copied to developer machines, and anonymised or synthetic data is used for development wherever the work permits. Data handling terms including residency, retention and sub-processors are set out in the contract before any access is granted.
Can you take over a project someone else started?
Yes, and it is a large share of what we do. We begin with a short assessment of the codebase and infrastructure so both sides know what is actually there, then agree a stabilisation plan before adding new features on top of it.
Do you work with startups as well as established companies?
Both, though the engagement shape differs. Early-stage work is usually a small team optimising for speed of learning; established companies more often need integration with existing systems, migration planning and a compliance posture. We are explicit about which mode a project is in, because the trade-offs are genuinely different.
How do you price AI work when usage is unpredictable?
Engineering effort is priced like any other build. Model and infrastructure costs are passed through at cost with a modelled forecast produced during the assessment, plus hard budget limits and per-feature telemetry so spend never arrives as a surprise.
Tell us what you are trying to build
Send a short description of the problem. You will get a reply from an engineer, not a sales sequence — usually with a first read on the approach and whether we are the right partner for it.
Or email us directly at info@beambytes.com