About

A small engineering firm that behaves like part of your team.

Bytescope Tech is an architect-led software, data and AI engineering practice, operating since 2024 and based in Bhubaneswar, working with clients across India, Europe and North America. We build systems that carry operations, and we stay long enough to see them run.

Who we are

Built around delivery, not headcount.

Most technology suppliers scale by adding people. That works commercially and it degrades predictably: the person who understood the problem moves to the next pitch, and the team left behind rediscovers the requirements the expensive way.

We are set up differently. Engagements are led by a solution architect who does discovery, writes the architecture, and stays through hypercare. Delivery pods are small and cross-functional. We take on work where that model fits, and we decline work where it does not — a forty-person staff-augmentation contract is not something we are good at, and pretending otherwise would waste a quarter of your year.

The practice covers six technical areas — AI and GenAI, data engineering and data science, custom software, SaaS product engineering, building management and IoT, and cloud and DevSecOps. Nearly every engagement uses at least two, which is deliberate: the reason enterprise AI stalls is usually the data platform underneath it, and the reason an energy dashboard is useless is usually the integration below that.

How an engagement usually starts

Someone sends a brief, an RFP, or three messy sentences describing a problem. Within two working days you get a written response from an architect: what we think the real problem is, what we would need to find out, roughly what the shapes of a solution look like, and what it would take. Not a capability deck.

If that is useful, the usual next step is a discovery sprint — two to five days, fixed fee, producing an architecture note, a risk register and a costed build sequence. You own the output. If you take it to a different vendor, that is a legitimate outcome and it has happened.

Where we work

The team is based in Bhubaneswar, Odisha, with delivery across IST, CET and EST overlap windows. We work on site for discovery, surveys and commissioning — a building integration cannot be done remotely — and remotely for most build work.

How we work

Five things that are true on every engagement.

Principles

An architect stays on the job

The person who designs the system is the person you can call in month seven. We do not run a model where senior people win the work and junior people absorb the consequences.

Small teams, short increments

Three to six people per pod, two-week increments, working software at the end of each one. If a demo slips twice, something is wrong with the plan and we say so early.

Your repository, your cloud

Wherever possible we work in your accounts, under your branch protection, with your engineers reviewing pull requests. When we hold the keys, the handover plan is written before we start.

Write the reasoning down

Architecture decision records for anything expensive to reverse. The people who inherit this system deserve to know why, not just what.

Say the uncomfortable thing early

If the requested approach will not work, or the timeline is not real, you hear it in week one rather than in the steering pack. We have lost work this way and kept clients this way.

Security

How we handle your code, data and IP.

Data handling

None of this is unusual. It is worth stating plainly because we work in sectors where a buyer needs to hear it stated, not inferred.

  • Your repository, your cloud, by default. Access is scoped to the engagement and named individuals, not a shared account.
  • NDA before anything confidential moves. Ask and we send a mutual NDA the same day — before you send a document, not after.
  • Deliverables and code are yours. We do not reuse a client's business logic, data or configuration on another engagement.
  • Data stays where you say it stays. Region and residency are architecture decisions made at design time, not discovered afterwards, and any point where data would leave your environment — a hosted model API, for instance — is called out explicitly before it happens.
  • Offboarding is a written step, not an afterthought. When we do hold credentials, access is time-boxed to the engagement and revoked, with rotation, on a date agreed in advance.

Engagement models

Three ways to buy the same engineering.

Commercials

Pick the one that fits your procurement. We have no preference and the rate does not change between them.

Discovery sprint — fixed fee, 2 to 5 days

For when the problem is clear but the solution is not. Interviews, system inspection and a written architecture note with options, risks and a costed sequence. Deliverable is yours to use with anyone.

Delivery pod — monthly

A named architect, engineers and QA against your backlog. You see the board, the repository and the burn-down. Scale up or stand down on 30 days' notice. Most engagements over three months run this way.

Ghost development partner — white-label

We build under your brand, for your client. Your project manager stays the face of the engagement; our engineers work in your repository, your conventions, your standups. Documentation ships in your template. Referenced only with your written permission — several of the case studies on this site are, by agreement, described without naming anyone.

Next step

Tell us what you're trying to ship.

Send the brief, the RFP, or three messy sentences about the problem. You get a written point of view from an architect within two working days — not a sales deck.