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ApexSutra
IT solutions, end to end

We build the software your business runs on.

Cloud, custom software, data and managed services — one partner threading your whole stack together, with the decisions written down. A software development company based in Ahmedabad, working across India and internationally.

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Custom software · Cloud & DevOps · Data & AI · Managed services

  • 31

    Technologies in production use

    Counted from our published stack

  • 4

    Service pillars, end to end

    Custom software, cloud, data, managed

  • 12

    Sectors we build for

    Four with published architecture detail

  • <24h

    Response to a new enquiry

    A commitment, not an average

Built on

What we do

Four pillars, one accountable team.

Deep in a small number of things rather than shallow across many. Every engagement is scoped, built and owned by the same people.

ApexSutra is a software development company in Ahmedabad, and an engineering partner for companies that need software built and then kept working. The work divides into four pillars — custom software, cloud and DevOps, data and AI, and managed services — and one team carries an engagement across all four rather than handing it between specialists, because most of what goes wrong in outsourced delivery happens at the seams between vendors. Work is scoped and priced phase by phase, before each phase begins, since nobody can estimate a year of delivery honestly in a single number. You see running software every week rather than a percentage complete. The repositories, the cloud accounts and the code are yours throughout, and handover includes architecture decision records and runbooks so your own team can continue without us. We run 31 technologies in production, chosen for the workload rather than for the changelog.

01 / 04

Custom Software

Systems built for how your business actually works, not how a product assumed it would.

  • Custom software development
  • Enterprise software
  • SaaS product development
  • Web development
  • +9 more
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02 / 04

Cloud & DevOps

Migration, pipelines and infrastructure-as-code, built to scale without surprises.

  • Cloud solutions and migration
  • DevOps practice and tooling
  • AWS, Azure and Google Cloud
  • Kubernetes and containerisation
  • +4 more
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03 / 04

Data & AI

Pipelines, models and automation applied where they change a decision.

  • AI integration
  • Workflow automation
  • LLM and RAG systems
  • Data pipelines and ETL
  • +3 more
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04 / 04

Managed Services

Ongoing engineering ownership for systems that need to keep working.

  • Maintenance and support
  • Digital transformation
  • Site reliability engineering
  • Legacy modernisation
  • +3 more
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How we work

Six commitments, in writing.

Rather than point at a wall of logos, we would rather be specific about how we work — and be held to it. Every one of these is a promise you can measure us against.

  • 01

    Fixed-scope quotes

    Phase one is scoped and priced before it starts. If we discover something that changes the number, you hear it that week — not in an invoice.

  • 02

    Weekly working demos

    Every week you see software running, not a percentage complete. It is the only progress report that cannot be wrong.

  • 03

    You own all the code

    Your repositories, your cloud accounts, your domains. No proprietary runtime you need us to keep operating.

  • 04

    Senior engineers only

    The people in the kickoff are the people writing the code. No handoff to a team you never met after the contract is signed.

  • 05

    Production-grade from day one

    Tests, CI, monitoring and infrastructure-as-code from the first commit. Not a prototype we promise to harden later.

  • 06

    Documented handover

    Architecture decisions, runbooks and a walkthrough with your team. You should be able to continue without us.

Technology

Boring by default. Novel where it pays.

31 technologies we run in production, chosen for the workload rather than for the changelog.

Full stack

Frontend

Interfaces that stay fast on the devices your users actually have.

  • React
  • Next.js
  • Vue
  • Angular
  • TypeScript
  • Tailwind CSS

Backend

Services chosen for the workload, not for novelty.

  • Node.js
  • Express
  • NestJS
  • Python
  • FastAPI
  • Java
  • Spring Boot
  • GraphQL

Data

Storage picked for access patterns, with the trade-offs written down.

  • PostgreSQL
  • MongoDB
  • MySQL
  • Redis
  • Snowflake
  • Kafka

Cloud

Provider-agnostic by default; committed deliberately when it pays.

  • AWS
  • Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • Cloudflare

DevOps

Every environment reproducible from a clean checkout.

  • Terraform
  • GitHub Actions

Observability

Alerts that map to real failure modes, not to CPU graphs.

  • Datadog
  • Prometheus
  • Grafana

Every significant technology choice on a project is recorded with the alternatives we rejected and why.

Reference builds

How we'd build it, decisions included.

Four architectures written out in full — the problem, the approach, and the options we rejected with the reasoning. Illustrative reference builds, not client engagements.

All builds

Industries

Domain constraints shape architecture.

Compliance and integration realities are design inputs, not paperwork added at the end. Every sector below has its constraints written out.

All sectors

Our process

Seven phases, and what you get from each.

No phase ends with a status update. Each one produces something you can read, run or hold us to.

  • 01

    Discover

    Understand the problem well enough to argue about the solution.

    What happens

    • Interview the people who do the work today
    • Map the current process, including the workarounds
    • Identify the constraint that actually limits you
    • Agree what success would look like in numbers

    What you get

    • Problem statement
    • Current-state process map
    • Success criteria
  • 02

    Plan

    Scope, sequence and price before anyone writes code.

    What happens

    • Break scope into independently shippable slices
    • Choose architecture and record why alternatives lost
    • Surface the risks that could change the estimate
    • Fix scope and cost for the first phase

    What you get

    • Architecture decision records
    • Phased delivery plan
    • Fixed-scope quote
  • 03

    Design

    Interface and data model designed together, because they constrain each other.

    What happens

    • Design the critical flows first, not the marketing pages
    • Model the data alongside the interface
    • Build a clickable prototype for the risky flows
    • Check contrast, keyboard paths and states before build

    What you get

    • Interactive prototype
    • Data model
    • Component inventory
  • 04

    Develop

    Weekly working software, not weekly status updates.

    What happens

    • Ship a working increment every week
    • Every change reviewed before it merges
    • Automated checks run on every commit
    • Decisions that change the plan are raised immediately

    What you get

    • Weekly deployed increment
    • CI pipeline
    • Reviewed commit history
  • 05

    Test

    Verify behaviour, load and accessibility — not just that it compiles.

    What happens

    • Automated coverage on the paths that matter most
    • Load test against the real architecture
    • Keyboard and screen-reader pass on every flow
    • Failure modes rehearsed, including rollback

    What you get

    • Test suite
    • Load test results
    • Accessibility report
  • 06

    Deploy

    A cutover that has already been practised.

    What happens

    • Rehearse the migration on production-like data
    • Verify rollback actually works before you need it
    • Configure monitoring and alerts ahead of traffic
    • Go live with a named person watching

    What you get

    • Migration runbook
    • Monitoring dashboards
    • Tested rollback path
  • 07

    Maintain

    Ongoing ownership, so the system does not quietly decay.

    What happens

    • Patch dependencies and vulnerabilities on a cadence
    • Review performance against the original baseline
    • Keep runbooks current as the system changes
    • Report monthly on changes, incidents and risk

    What you get

    • Monthly report
    • Upgrade cadence
    • Current runbooks

Questions

The things people actually ask.

If yours isn't here, ask it directly — you'll get a straight answer rather than a brochure.

How do you price work?
Phase by phase, with a fixed scope and cost agreed before that phase begins. We do not quote a single number for a year of work, because nobody can estimate that honestly — and open-ended time-and-materials shifts all the risk onto you.
What does a first engagement usually look like?
A short discovery phase — typically one to two weeks — where we map the current process, agree what success means in measurable terms, and produce an architecture and a phased plan. It ends with a fixed-scope quote for phase one, and it is useful to you even if you then choose someone else.
Do we own the code and the infrastructure?
Yes, entirely. Work happens in your repositories and your cloud accounts wherever possible. There is no proprietary layer that requires us to stay involved, and the handover includes the documentation needed for another team to take over.
Can you work with our existing team?
Yes, and it is often the better arrangement. We can take a discrete slice with a clear interface, or work inside your process and review cycle. What we ask for is one person with authority to make product decisions.
What happens after launch?
Either we hand over completely — documented, with a walkthrough — or we continue under managed services with agreed response expectations and monthly reporting. Both are fine. What we will not do is disappear and leave a system nobody understands.
Which technologies do you commit to?
We default to boring, well-supported choices and reserve novelty for where it genuinely pays. Our published stack covers frontend, backend, data, cloud and observability, and every significant choice on a project is written down with the alternatives we rejected.
How do you handle compliance requirements?
By treating them as architecture rather than paperwork added at the end. In healthcare that means append-only audit trails and consent in the data model; in payments it means shrinking PCI scope and building reconciliation in from the start. We would rather design for the constraint than retrofit around it.
Do you work across time zones?
Yes. We are based in Ahmedabad, India and take on work here and internationally, with real overlap into European and North American mornings. Weekly demos and written decisions mean progress does not depend on being in the same room.

Start here

Tell us the problem.
We'll be honest about the fit.

A first conversation costs nothing and is useful even if you go elsewhere — you'll leave with an architecture opinion and a realistic sense of scope.

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