See it working
Everything we build,
running in front of you.
Twelve areas of work, each one shown doing its job instead of described in a deck. For every one: what it does, how it is built, the time and money it takes out of your week, and the thing you can start doing once it is in place.
These are demonstrations, not live client systems. Every figure on this page is sample data written into the page so you can see the shape of the thing. The components, the flow and the controls are the ones we build. The impact numbers are typical ranges for work of this shape — your own come out of the discovery week, in writing, before anything is built. Named client references are available on request.
01 · AI & Automation
An agent that does the work — and shows its working.
It reads the request, looks things up in your systems, decides, and acts. Every thought, every lookup and every action is logged, and anything above the line you set waits for a human.
How it works
- We give the agent a narrow job and a fixed set of tools — your ERP, your CRM, your logistics API, nothing else.
- It reasons in steps you can read: what it thought, what it called, what came back, what it did.
- You set the approval line. Below it the agent finishes the job; above it, a named person signs off first.
Less time, less cost, more room
- 2 minfrom an emailed request to a sent quotation
- Every steplogged, replayable and reversible
- Your rulesapproval thresholds you set, not the model’s
New email from a customer: “Please quote 400 units of SKU-2210, delivery Pune.” This is a quotation request.
erp.price_list(sku="SKU-2210", qty=400, customer="C-1187")
Contract price ₹318/unit, slab discount 4% above 250 units, stock on hand 512.
logistics.freight(from="Bhosari", to="Pune", weight_kg=820)
Freight ₹4,150, next dispatch slot Thursday.
Total ₹1,26,230. The discount is inside the sales policy, but the value crosses the ₹1 lakh approval line.
Quotation QT-9042 drafted, PDF attached, reply queued to the customer and logged against C-1187 in the CRM.
A sample trace with sample prices. The four-part rhythm — think, call, observe, act — and the approval gate are exactly what we ship.
02 · Chatbots
Answers from your documents, with the source attached.
Not a scripted bot with five buttons. It reads your policies, manuals and order history, answers in your customer’s words, cites where the answer came from, and hands over to a person the moment it should.
How it works
- We index your real material — manuals, SOPs, past tickets, order data — with permissions preserved.
- Every answer is grounded in a retrieved document and shows its source, so a wrong answer is traceable.
- Refunds, complaints and anything unfamiliar are handed to a human with the transcript already attached.
Less time, less cost, more room
- 24/7on WhatsApp, the website and inside your helpdesk
- Citedso your team can verify any answer in one click
- Hands overrather than looping the customer forever
A sample conversation. The citation chip and the hand-over card are real components, not decoration.
03 · Workflow automation
The routine steps run themselves.
Orders, invoices, approvals and hand-offs that a person currently copies from one screen to another — done automatically, with the exceptions pushed to someone who can actually decide.
How it works
- We watch one real workflow for a week and write down every step, including the ones nobody documented.
- The predictable path is automated end to end — read, validate, check the rule, write to the system, notify.
- Anything unusual stops and goes to a named person with the reason attached, so nothing silently fails.
Less time, less cost, more room
- 97%of a typical order flow needs no human touch
- 41 sinstead of the better part of an afternoon
- Full logevery decision recorded and reversible
A real order-to-ERP flow, simplified. The branch on the credit limit is the part clients care about most.
04 · Data Engineering
Your data, arriving on time and in one shape.
The unglamorous layer everything else stands on: getting data out of eight systems, making the names and dates agree, testing it, and putting it somewhere a person or a model can actually use.
How it works
- We map where every number is born and how often it really changes.
- Pipelines pull on a schedule, or on change, into a modelled warehouse — one customer table, not eight.
- Automated tests run before anyone sees the data; a failed test pages us, not you.
Less time, less cost, more room
- 15 minfreshness on the numbers that move
- 142automated quality checks on every run
- Your cloudit runs in your account, under your keys
Row counts and check totals are sample values. The stage layout and the quality gate are how we actually build them.
05 · Data Analytics
Ask in plain English. Get the answer with its working attached.
A question box over your own warehouse. It writes the query, shows you the query it wrote, and returns the rows — so the answer can be checked rather than believed.
How it works
- We describe your tables once, in business language, so the model knows what “net revenue” means here.
- A question becomes a query against the modelled layer — never against raw tables, never with write access.
- You see the SQL, the rows and a short read of what it means, and can save any answer as a report.
Less time, less cost, more room
- Minutesfrom question to answer, not a ticket queue
- Shownthe query is on screen, so it is auditable
- Read-onlythe assistant can never change your data
SELECT region,
SUM(net_value) AS revenue,
ROUND(growth_qoq * 100, 1) AS growth
FROM mart.sales_by_region
WHERE quarter = '2025-Q3'
ORDER BY growth DESC;| Region | Revenue | Growth |
|---|---|---|
| West | ₹62.4 L | +18% |
| South | ₹48.1 L | +9% |
| North | ₹39.7 L | −4% |
| East | ₹34.4 L | +2% |
West grew 18%, almost all of it from two distributors who moved onto the new portal in July. North fell 4% where the same portal has not been rolled out yet.
A sample question against sample tables. The pattern — question, query, rows, plain-language read — is what ships.
06 · Business Intelligence
Slice the same report a dozen ways, without asking IT.
Proper BI on open-source tools: one governed model, filters your team can drive themselves, and drill-downs that go all the way to the underlying rows.
How it works
- Metrics are defined once, centrally — margin means the same thing on every screen.
- Your team filters and drills without writing anything, and can schedule what they want in their inbox.
- Row-level permissions mean a regional manager sees their region and nothing else.
Less time, less cost, more room
- MetabaseSuperset or Grafana — no per-seat licence
- Row-levelsecurity, so one report serves everyone
- Scheduledto email and WhatsApp on your calendar
The filter buttons are live — click one and the chart, the KPIs and the read-out all change, exactly as the shipped report does.
07 · Dashboards
One screen that answers “how are we doing?”
Numbers pulled from every system the business runs on, refreshed on their own and shown in one place — so Monday starts with the facts instead of four people exporting four spreadsheets.
How it works
- We connect read-only to the systems you already pay for — ERP, CRM, billing, even the shared sheets.
- Numbers land in one place overnight, or every few minutes where the decision cannot wait.
- Each person opens the view for their job, on a laptop or a phone, with the same definition of “revenue” behind it.
Less time, less cost, more room
- 4 hrsa week back per manager, off manual reporting
- 1 numberone agreed definition instead of four versions
- No seatsopen-source BI, so cost does not grow with headcount
- Invoice INV-2214 cleared2 min ago
- Stock at Bhosari below reorder9 min ago
- New order — Nashik depot14 min ago
- Collections run finished31 min ago
Sample figures. The layout, the refresh indicator and the activity feed are the real components we ship.
08 · Product Engineering
A product in the market in months — then improved every fortnight.
We take a product from the first sketch to a version customers pay for, and keep shipping after launch. Small releases, real users early, and a roadmap you can change when the market tells you something.
How it works
- A short discovery fixes the one job the product must do, and what success looks like in numbers.
- An MVP goes to real users in weeks, not a year — narrow on purpose, and built on foundations that will hold.
- After launch we ship on a fortnightly rhythm, guided by what users actually do rather than what the roadmap assumed.
Less time, less cost, more room
- 6–8 weeksto something real users can try
- Less wastefeatures are cut before they are built, not after
- New winga product line alongside the services business
A sample burn-up and release history. The milestone rhythm and the fortnightly cadence are how the work is actually run.
09 · Web & Portals
A site that loads in a second and a portal that does the work.
Marketing sites that rank and convert, and logged-in portals where customers, dealers and staff do real work — orders, documents, approvals, payments — instead of emailing your team to do it for them.
How it works
- We build on a headless CMS, so your team edits content without a developer and without breaking the layout.
- Speed and accessibility are part of the build, not a clean-up afterwards — Core Web Vitals are a pass condition.
- The portal connects to the systems behind it, so what a partner sees is the live number, not yesterday’s export.
Less time, less cost, more room
- <1.5 sloads, which is what search and customers both reward
- Fewer callspartners self-serve instead of phoning your team
- New wingsell and onboard online, in more than one country
A wireframe assembling, with the Core Web Vitals we hold ourselves to. Sample figures, real thresholds.
10 · Mobile Apps
Your field team stops writing things down twice.
Apps for customers and for the people doing the work outside the office — delivery, service, inspection, sales. One codebase for iOS and Android, and they keep working where the signal does not.
How it works
- We decide honestly whether you need an app at all, or whether a fast mobile site does the job for less.
- One codebase serves both stores — React Native or Flutter — with native modules only where performance demands them.
- Offline first: the app queues what happens in a basement or on a highway and syncs the moment signal returns.
Less time, less cost, more room
- ~40%less to build and maintain than two native apps
- No re-entrywhat the field records is already in the system
- New wingservices you can only sell if the field is connected
Sample screens and sample metrics. The offline behaviour and the single-codebase approach are the real decisions.
11 · Custom Software
One system instead of fourteen spreadsheets and a WhatsApp group.
Software shaped around how your business actually runs, for the parts where no product off the shelf fits. Built on boring, proven technology, in your repository, so you are never locked to us.
How it works
- We map the real process first, including the workarounds people invented and never told anyone about.
- We build only what the product on the shelf cannot do — and say so plainly when buying one is the better answer.
- It integrates with what you already run, so the new system is where the work happens rather than another place to copy things into.
Less time, less cost, more room
- 6 hrs/dayof re-keying across a team, removed
- One versionof stock, price and status that everyone trusts
- New wingprocess changes take a sprint, not a vendor negotiation
An illustration of the usual before and after. Module names come from a real shape of build; the counts are samples.
12 · Cloud & DevOps
Releases stop being an event people dread.
Your infrastructure as code in your own cloud account, a pipeline that tests and ships on its own, monitoring that tells us before it tells your customers, and a rollback that takes ninety seconds.
How it works
- Everything is defined as code in your account, so the environment can be rebuilt exactly and nothing lives only in someone’s head.
- Every change is built, tested and scanned automatically, then goes out to a small slice of traffic before everyone.
- Alerts, dashboards and an on-call runbook, so a problem has an owner and a procedure rather than a panic.
Less time, less cost, more room
- Weekly → dailyreleases, without the weekend deploy window
- 30–40%typical cloud bill reduction after right-sizing
- New wingship an experiment on Tuesday and keep it or kill it by Friday
A sample pipeline run. The stages, the canary step and the rollback target are what we set up.
Where to start
Pick one. Not twelve.
The projects that work start narrow — one workflow, one report, one screen that everybody hates. Bring that one thing and a sample of the data behind it to a free 30‑minute call, and we will tell you what it would take, what it would cost, and where the honest answer is “buy a tool instead”.