Enterprise software
Move your product forward without breaking your customers
You sell a product that works. Paying customers sit on four different versions of it, and every upgrade has hurt somebody. We build the next part, roll it out carefully across the versions people actually run, and stay on to look after it.
Selling the product is easier than changing it
Four versions in the field. A branch cut for one big account. A renewal that now hinges on an AI feature nobody inside has built.
Software vendors are not short of ideas for the roadmap. They are short of safe ways to ship them. Every release has hurt an account at some point, so upgrades get put off, and support ends up keeping alive behavior that stopped shipping years ago. The people who wrote the core moved on, and nobody dares touch it.
Meanwhile the biggest customer wants AI in the product, an auditor wants to know what it will record, and a prospect's security team has stalled the deal on single sign-on and an API. The roadmap loses to support again.
- Releases that reach every version you still support.
- Upgrades your own support team can run.
- AI features with a switch per customer.
Infoloop builds the next part of your product, tests it against every release line you still stand behind, rolls it out one account at a time, and stays on to keep it standing.
Measured results
Enterprise software problems we solve
We build and run software for vendors whose customers cannot afford a bad release.
Customers stranded on old versions
Accounts three releases behind because the last upgrade hurt them. We map who is on what, write data changes that can be practiced first and reversed afterwards, and turn the upgrade into a job your own support team can run.
A big account wants AI in the product
It came up at renewal and now it is on a slide. We build narrow helpers that draft, sort or summarize, behind a switch set per customer, with anything sensitive waiting for a person and everything written down for that account's auditor.
One-off branches carried for single customers
A branch cut years ago to keep one account happy, still maintained today. We move what we can into settings and switches, so the next bespoke request becomes a configuration change rather than another branch somebody keeps forever.
The product sells and nobody dares touch it
The revenue is real. The people who built it have moved on. We work out what each awkward part does and which accounts depend on it, then replace it one releasable piece at a time behind the screens people already use.
Shipped without breaking customers. Run by us.
Case studies
Measured results from heavy software with real users on it.
What working with Infoloop gets you
For vendors that need the roadmap moving again, without a support crisis.
Live in weeks
Planning in about a week, most projects live in 4 to 8 weeks, a pilot account first, then the rest.
One price, agreed first
The releases it has to reach and the places it has to run, with dates and price in writing before we start.
Works where your customers run it
Hosted by you, in their cloud, or on their own hardware. One install and update route for all three.
Answers for the purchase review
Single sign-on, exportable activity records and versioned API docs, built once and reused for the next deal.
Run by us afterwards
We watch it across every supported version, fix faults to an agreed time, keep it patched, and report every month.
Trusted by vendors whose product cannot go down
Built in your repository, your cloud accounts and the platforms we know well.
- Webflow
- Shopify
- Stripe
- Slack
- AWS
- OpenAI
- Anthropic
- WordPress
- Next.js
- React
- Node.js
- Flutter
- projects delivered
- 50+
- projects delivered
- countries
- 6
- countries
- uptime on software we run
- 99.9%
- uptime on software we run
- average client rating
- 4.8
- average client rating
What our clients say
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 studyBlogs and insights
FAQs
Questions software vendors ask us
Straight answers. If yours is not here, ask us on the call.
How is the price worked out?
Two figures, both agreed before anyone writes code. The build is a written scope with dates against it, not a day rate, so anything you add later is a separate quote you approve first. Keeping it running afterwards has its own monthly figure, sized to how much we look after. Where the code is old enough that nobody inside your company can say what a part does, we sell a short paid review first, and that written review is yours whatever you decide next. The call that starts it all takes 30 minutes and costs nothing.
Do you have to rebuild the old parts?
Almost never, and we do not open with it. A product sold for years carries behavior that particular customers depend on and that nobody wrote down. Throw it away and you rediscover all of it through angry tickets. We work in your repository, your branches and your build checks, and our changes go through the review your team already runs. Sometimes one part has to go: a record structure written for a single installation, or a platform whose supplier has stopped patching it. We price that part on its own, agree it with you first, and replace it behind the screens people already use.
Our customers are on old versions. How do upgrades work?
First we map it: who is on what, what was customized for them, and which of those customizations can move into settings instead of staying a branch. Then the upgrade is built as steps, each one releasable and each one reversible. Data changes are practiced against a copy of a real customer database before they are run for real. The first release goes to a pilot account, gets watched through a month of normal work, then widens across the rest. The aim is an upgrade your support team can run on a Tuesday afternoon, not one that needs an engineer on a call with every account.
How would you add AI to a product people already pay for?
Narrowly, and behind a switch your account managers control. We pick two or three jobs where the rules are already written down, limit what the feature can reach to the tools those jobs need, and require a person to decide anything that moves money or changes a record a customer may have to justify to an auditor. Everything it does is recorded. Because one feature has to suit accounts with different rules, the switch is per customer, and an account that says no never sees it. Our fintech support assistant is built this way. We read its numbers every month and widen it only when they hold.
Our product runs on customer hardware. Does that still work?
Yes. It changes what gets built, not whether we take the job. Install and update routes are designed for every environment you actually ship into, so a fix can reach an installation at a customer's site without somebody traveling there. For AI features it matters most: the model, the data and the records can all stay inside that customer's own boundary where their contract demands it. We work in your accounts rather than ours, so our access can be withdrawn at any moment, and we develop against masked or made-up records rather than real customer data.
Who looks after it once the release is out?
We do, across every version it is installed on, which for a vendor is the harder half of the job. That means alerts on the environments we can see, fixes inside agreed times, and security patches applied to each release line still under support, not only the newest. Once a month you get a written report: what changed, what the numbers did and the next step. One monthly figure, sized to what we look after, and the software we run stays up. Your repositories, your cloud accounts and written instructions stay yours, so ending the arrangement costs only the notice period.
Tell us the part nobody wants to touch
Bring the list of versions and the accounts you dare not upgrade. Half an hour later you know how we would approach it and what we need to see before we can price it properly.