Agents that finish the task
We ship automations that complete the work end to end. Every agent has a scope, an owner, and an escalation path.
The software your business runs on.
Services across web development, mobile development, and AI automation.
What your site gets
Checked before we hand it over.
Fast on a phoneEvery page under a second on an ordinary device. Found where people lookOn Google, and in the assistants that read your content. Yours to editChange words, prices and pages without calling anyone. Sells end to endCheckout and enquiry flows measured, then improved.
Every launch ships with a speed and accessibility report.
Website & e-commerce servicesWhat your app gets
The parts clients never see, done for you.
The few things that matterDesigned around the actions people repeat every week. Through the finish lineStore submission, review and release handled by us. Works on a trainKeeps going offline, then syncs when you are back. You see what people useCrashes, retention and funnels reported every month.
Native or cross-platform: we recommend one and tell you why.
Mobile app servicesHow it handles a request
The same order, every time.
Reads your side of itAnswers from your documents and refuses what is not there. Sounds like youTone, rules and refusals you approve before it launches. Knows when to stopHands over to a person with the whole conversation attached. Reports what it missedA weekly list of the questions it could not answer.
It drafts first. You approve. Then it goes live.
AI assistant servicesWhat the platform does
Why shipping stops being an event.
One command to liveBuild, test and release run without anyone at a keyboard. Off in one clickA flag hides the problem before your customers notice it. Staging that behaves like liveThe same setup, so launches stop surprising you. Costs in the openCloud spend reported monthly, service by service.
Harness, GitHub Actions or GitLab — set up, documented, handed over.
Talk to an engineerThe rare partner that can move from architecture to interface without losing the plot. Our launch date held.
500+Projects
200+Clients
7+Years
21Services
Since 2019 · Bengaluru
Our approach to AI
AI that does real work, inside the workflow.
We design the data model, the workflow, and the human decisions around agents that do the work.
100%
of irreversible AI actions require a named human decision.
Evaluation before launch
Every workflow has a test set, a quality score, and a rollback plan. If we cannot measure it, it does not ship.
A person makes the final call
A named person approves every irreversible action. The evidence is visible, and the action can be undone.
What an assistant actually does
The questions you answer a thousand times a week.
Six of them make most of your inbox. An assistant reads your documents, replies in seconds, and hands the rest to a person with the conversation attached.
Orders, returns, stock
“Where is my order?”
It left the warehouse at 6am and arrives Thursday before noon. Here is the tracking link, and a refund starts automatically if it slips past Friday.
Claims, policies, renewals
“Is my claim still open?”
Yes. Your adjuster reviewed it on Tuesday and the inspection is booked for Friday morning. I have added what you just told me to the file.
Appointments, cover, forms
“Do you take my insurance?”
Yes, and a first visit with your plan is usually $40. The next Tuesday slot is at 9:20am — shall I hold it for you?
Bookings, changes, disruptions
“My flight moved. Is my transfer still coming?”
I moved it to 4:40pm to match your new arrival. Your driver is Paulo and the confirmation with his number is on its way to you.
Onboarding, billing, support
“How do I export my data?”
Settings, then Export, then CSV. For an account your size it takes about two minutes. Here is the direct link to the screen.
Cards, payments, disputes
“Why was this payment declined?”
It was over the daily limit on the card. I have asked your card team to raise it to £500 until Friday — they approve it with one tap.
What it never does
- It does not guess
- It answers from the documents you give it and says plainly when something is not there.
- It does not decide alone
- Refunds, cancellations and anything hard to undo wait for someone you name.
- It does not go dark
- Every conversation is logged where your team can read it, not on a vendor dashboard.
- It does not launch untested
- It drafts the replies first. You approve the tone and the limits, then it goes live.
Every week it sends you the questions it could not answer. That list is the cheapest thing you will learn about your own business.
Where it answers
In the window your customer already wrote from. One assistant, not four.
- Your website
- SMS
- Mobile app
How it starts
- 01
Pick the three questions
We read a month of your tickets and agree which ones are worth automating first.
- 02
Connect what you already have
Your policy documents, product feed, order status, whatever the answers live inside.
- 03
Approve the replies
Watch it answer a sample of real questions and correct the ones that sound wrong.
How the system works
Follow one request through the system.
Most AI presentations skip what happens between a request and a decision. Click a stage or let the trace play.
Trace 0492 / claims intake
Stage 01 / 06
120 msThe request comes in
A claim arrives from the portal. The edge checks the payload, attaches identity, and assigns a trace id before any model sees it.
- Output
- Normalised request
- Guardrail
- Schema + auth
Event log
› 09:42:18 request.received
› 09:42:18 identity.verified
› 09:42:18 trace.0492.opened
Before you buy any of it
Three questions we answer whether or not you hire us.
What a website is for now, what AI changed about attacks, and which automation pays first. Read in order, or stop at the one that is your problem this week.
01 · Websites
A website is still the first employee they meet.
Nobody calls a shop, a clinic or a law firm before looking it up. The site answers the questions, takes the money and books the visit, including the ones that happen at midnight on a Sunday.
What it has to earn
- Speed
- A page that takes four seconds reads like a business that takes four days to reply.
- Being found
- Google, and the assistants that quote pages in their answers, can only repeat what you have written down.
- Easy to change
- If a price or a photo needs a developer, the site stops being something your team owns.
- One clear next step
- Buy, book or enquire. Every page exists to move someone toward one of those three.
What we check before launch
Under a second on a real phone
Not on office wifi, and not only on the desktop you reviewed it on.
Readable without JavaScript
By a search engine that runs none of your code, and by a screen reader going through it in order.
The money path measured
Checkout or enquiry counted end to end, then improved with the numbers in front of you.
Published by your team
Someone in your office changes a price in the chair, without raising a ticket.
A site is worth building once and maintaining forever. The bill you actually control is the one for keeping it quick.
02 · AI & security
AI changed who attacks you, and how quickly.
The same models that write your support replies write someone else’s phishing email, in your language, about a project that is real. The volume went up before most defences did.
What actually changed
- Phishing reads properly now
- Messages quote real invoices, real colleagues and the correct company jargon. The spelling mistakes are gone.
- A voice is cheap to fake
- Ten seconds from a public podcast is enough to ask your finance team for an urgent transfer.
- Exploits arrive in hours
- A published weakness used to take weeks to weaponise. Now there is working code the same afternoon.
- Passwords are already out
- Credentials leaked by an unrelated vendor get tried against your systems overnight, in bulk.
What to do about it
Stop trusting what you know
Passkeys or multi-factor on anything a customer or a member of staff can sign in to.
Shrink the update window
A fix that takes six weeks to reach production is an open door with a calendar on it.
Verify money twice
A callback to a number you already had, before any transfer a stranger asked for.
Alert on the odd, not the volume
One log, one place, and an alarm for the unusual login rather than the busy hour.
Every change we ship is checked against known security holes before it goes out, and one named person can put it back within minutes if it goes wrong.
03 · Automation
Automation for a company of any size.
It is not a headcount plan. Pick the task your best person does every day that never needed a human at all, then give it a trigger, an owner and one number to hit.
By the kind of company
- A shop with thirty orders a day
- Stock, refunds and the Sunday-night spreadsheet run themselves, and the site tells you what sold.
- A clinic of six people
- Reminders, intake forms and cover checks happen before anyone rings the front desk.
- A distributor with a field team
- An order typed into WhatsApp lands in the ledger at the right price for that customer.
- A firm of twenty professionals
- Proposals draft themselves from the three you last won, and a person signs them.
- A floor with machines on it
- The maintenance warning fires before the line stops, from readings nobody was watching.
The rules we hold to
One trigger, one owner, one number
If you cannot name all three, the automation will not survive its first month.
Automate the boring half
The chasing, copying and formatting. Judgement stays with the person paid for it.
Keep a way to stop it
A switch, a log, and someone on your team who knows both exist.
Start with the task that interrupts people, not the department with the biggest budget.
Selected work
Systems in production.
How we work
Four stages, from discovery to operation.
Discover
We interview the people who use the system, audit what exists, and agree on the numbers that define success.
- Discovery brief
- System audit
- Success metrics
Architect
We define the target architecture, build a clickable prototype, and schedule the risky work first.
- Architecture decisions
- Clickable prototype
- Delivery plan
Build
We ship visible increments, stage every commit, and demo working software at each review.
- Production releases
- Test coverage
- Living documentation
Operate
We run the system against SLOs, report cost, and plan the roadmap from production data.
- Runbooks
- SLO reviews
- Improvement roadmap
Every stage ends with a decision you can defend.
A working demo and visible releases at every review
What clients say / 01
“Cloudradical rebuilt our core platform without a single day of downtime. They operate like an internal team that has been here for years.”
ER
Read the Ledger case study Elena Rossi
Chief Technology Officer, Meridian Energy
- 0
- Days of downtime
- 99.99%
- Platform uptime
- 11 to 2
- Days to close
Blog
What we learn on real projects.
Practical lessons from enterprise builds, written by the team doing the work. Read what worked and what we would change.
Next step
Tell us how we can help you.
Tell us the constraint. A senior engineer will reply with a clear next step.
Start a project