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Enterprise software

Software product engineering for enterprise software vendors

Infoloop provides software product engineering services to enterprise software vendors. It delivers new features, including AI features controlled by a per-customer switch. Upgrades are tested against every version your customers still run. Development happens in your repository, through your own release process.

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4 versions · no breaking changes

Version 9 · cloud

The version most accounts run

New work lands here first, behind a switch we can turn off per account. Weekly releases, and nothing goes out until it has run against a copy of your own data shapes.

accounts on this version
61%
rollback window
Minutes

Selling the product is easier than changing it

Most enterprise software vendors support several product versions at once. Some maintain a separate code branch for a single large account. Renewals now depend on AI features the current team has never shipped.

Software vendors rarely lack roadmap ideas. What they lack is a safe release path. Past upgrades disrupted key accounts, so new ones get postponed. Support teams maintain legacy behavior years after it was deprecated. The engineers who wrote the core platform have left, and nobody wants to change it.

Meanwhile, the largest customer wants AI in the product. Their auditor asks what it will log. A prospect's security team has paused procurement until the product offers single sign-on and an API. Once again, support work delays the roadmap.

  • Releases tested against every supported version.
  • Upgrades your own support team can roll out.
  • AI features controlled by a per-customer switch.

Infoloop develops the next release of your product and tests it against every supported version. A pilot account receives it first, then the wider customer base. Infoloop is an enterprise software development company headquartered in India, working with software vendors worldwide.

Measured results

Where enterprise software releases stall

Four problems software vendors raise on a first call, and how each one is resolved.

  • Customers stuck on old versions

    Some accounts sit three releases behind because the last upgrade disrupted them. We map which customer runs which version. Data migrations are rehearsed on a test copy first and can be rolled back. Upgrades become routine work your own support team can deliver.

  • A major account expects AI in the product

    The request surfaced at renewal and is now on the roadmap. The answer is narrow AI features that draft, classify or summarize. Each one sits behind a per-customer switch. A person approves any sensitive action, and every action is logged for the auditor.

  • Custom branches maintained for single customers

    A code branch created years ago for one account still needs maintenance today. We move what we can into configuration settings and feature flags. The next custom request becomes a configuration change, not another branch.

  • The product sells, but nobody will touch the code

    The revenue is real, but the original developers have left. We document what each component does and which accounts depend on it. Then we replace it one release at a time, behind the screens users already know.

Where enterprise software releases stall

4 problems

Problem 1 of 4

Customers stuck on old versions

What we do

Some accounts sit three releases behind because the last upgrade disrupted them. We map which customer runs which version. Data migrations are rehearsed on a test copy first and can be rolled back. Upgrades become routine work your own support team can deliver.

  • Version map
  • Reversible data changes
  • Runbook for support

Upgrades that do not break accounts. Supported after launch.

Case studies

Measured results from predictive maintenance integrated with an ERP, and from an AI support assistant.

$1.2M saved a year with predictive maintenance and a multi-plant ERP

Predictive maintenance and one ERP across three plants cut unplanned downtime 72% and saved a global machinery manufacturer $1.2M a year.

unplanned downtime
-72%
saved each year
$1.2M
order fulfillment accuracy
98%
Read Case Study

Your project

5 included
  • Planning takes about a week. Release dates are then agreed in writing, starting with a pilot account.

What an enterprise software engagement includes

For software vendors that need to ship new releases without disrupting existing accounts.

  • Release dates in writing

    Planning takes about a week. Release dates are then agreed in writing, starting with a pilot account.

  • Billing that fits the work

    A fixed price when the scope is clear, hourly when it will change. Target versions, environments, dates and the estimate are agreed in writing first.

  • Every deployment model covered

    Vendor-hosted, customer cloud or on-premises hardware, with one install and update path for all three.

  • Answers for the security review

    Single sign-on, exportable audit logs and versioned API documentation, delivered once and reused for the next deal.

  • Support after launch

    Monitoring across every supported version, fixes within an agreed service level, security patches and a monthly report.

Trusted by companies in six countries

Delivered in your repository and cloud accounts, on platforms we know well.

  • NHS
  • HSBC UK
  • Infosys
  • GoCardless
  • Makson
  • Brompton
  • HCFS
projects delivered
50+
countries
6
uptime on software we support
99.9%
average client rating
4.8

What our clients say

Live · run by Infoloop

Priya M. · card_declined · resolved 2m ago

Card declined at checkout

Agent draft

Your bank declined the payment for insufficient funds. Nothing was charged. Try again with another card and the order will hold your price for 24 hours.

Confidence 96%

They shipped our support agent in five weeks and it has run ever since. Response time dropped from hours to two minutes.

COO, fintech scale-up

Read the case study

Blogs and insights

FAQs

Questions from engineering and product leaders

Direct answers on cost, process and risk. Raise anything else on the first call.

  • What do software product engineering services cost?

    A release with a clear scope has a fixed price against a written scope and schedule. Ongoing improvements and support are billed hourly, and dedicated engineers hourly or monthly. The rate and an estimate are agreed in writing before any code is written. Where nobody can explain the legacy code, we start with a short paid code review you keep.

  • Do you work in our repository and release process?

    Yes. We work in your repository, branches and CI (continuous integration) checks, and every change goes through your team's code review. We rarely rewrite legacy components, because customers depend on undocumented behavior. When one component must go, it is priced separately and replaced behind the existing screens.

  • How do you upgrade a product customers run on different versions?

    In small increments, each one releasable and reversible. First, we map which customer runs which version and what was customized. Data migrations are rehearsed on a test copy before the production run. A pilot account receives the release for a month, then it rolls out to everyone else.

  • Can AI features ship behind a per-customer switch?

    Yes. Each AI feature has a per-customer switch, so an account that opts out never sees it. The feature can access only the tools its task requires. A person approves anything that moves money or changes an audited record. Every action is logged.

  • Can you work on a product that runs on customer hardware?

    Yes. Install and update paths cover every environment you ship into, so fixes reach customer sites without travel. AI models and data can stay inside the customer's own security boundary. We work in your accounts with masked or test data, and you can revoke our access at any time.

  • Who supports the product after a release?

    We can. Support is billed hourly, against a monthly estimate agreed in writing. It covers alerting, fixes within agreed service levels, a monthly report and security patches on every supported version, not only the latest. The code, cloud accounts and documentation stay yours, so ending support costs only the notice period.

Tell us the part nobody wants to touch

Bring your supported version list and the accounts you avoid upgrading. In 30 minutes, you will know our approach and what we need to review before pricing it.