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Kylient Software Solutions · Project Portfolio

White-label platforms and practical AI,
running real businesses.

Six products across travel, mentorship, field services, finance, logistics and government, built multi-tenant, white-label ready and AI-powered where it matters.

01AirtrotterTravel Technology02ShidoshaEdTech03Reach for TradesField Service Management04Sync AccountingFinTech05PalletWatchLogistics06JalmitraGovTech
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01Travel Technology · B2B White-label Platform•Europe

Airtrotter

A white-label travel commerce engine that lets any travel brand launch its own AI-powered booking platform.

Websiteairtrotter.com ↗Live demodev.airtrotter.nl ↗
Trusted by Riksja Travel, Transavia, De Jong Intra, Footprint Travel, Celtic Tours, House of Britain, VakantieXperts, Tenzing Travel and more.

About the project

Airtrotter is a travel technology platform for tour operators, OTAs and tourism boards. Instead of building booking technology from scratch, a travel company plugs into Airtrotter and gets dynamic packaging, live pricing and an AI travel engine, all running inside its own brand.

The everyday pain

Building one holiday package used to mean flights in one tool, hotels in another, activities on a spreadsheet and an itinerary typed by hand. Every supplier spoke a different API language, prices went stale within hours, and every new brand meant another custom build and another codebase to maintain.

How we solved it with tech & AI

  • White-label, with a separate UI for separate accounts. One codebase, many brands. Each operator gets its own domain, theme, logo and booking journey, so every account has its own UI, plus embeddable widgets for existing websites. No forks, no per-client rebuilds.
  • Supplier normalisation layer. Inventory from 12+ supplier networks, including Amadeus, Hotelbeds, Expedia, Booking.com, GetYourGuide and Sabre, is mapped into one data model, so live pricing and availability behave the same everywhere.
  • AI travel engine. Turns a traveller's brief into a fully bookable trip, with flights, stays and activities priced in real time, not just a text suggestion.
  • Output freedom. Confirmed bookings flow straight into the client's ERP, CRM, mid-office or accounting stack through APIs.
02EdTech · AI Mentorship Platform•India & global

Shidosha

Mentorship that never sleeps: real mentors, scaled by their AI digital twins, and white-label ready for any organisation.

Websiteshidosha.io ↗Live demosenpai.kylientlabs.com ↗Demo loginpiyush.tripathi@kylient.com / Piyush@12345
Mentors on the platform include certified executive coaches, technology leaders and HR strategists, available to learners anytime, anywhere.
How a mentor's AI twin is created
1Mentor profileExpertise, industries and languages
→
2Knowledge captureTheir content plus a guided AI interview
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3Private knowledge baseEmbedded in a vector store for that mentor only
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4Persona & guardrailsTone, boundaries and when to hand off
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5Mentor approvesTwin goes live, clearly labelled as AI

About the project

A mentorship platform that pairs every real mentor with an AI digital twin trained on their own knowledge. It runs as Shidosha's own marketplace or as a white-label platform under your brand.

The everyday pain

Great mentors are busy. Sessions are hard to book, learners are on their own between calls, and a mentor's impact is capped by their calendar.

How we solved it with tech & AI

  • AI digital twins. Each twin answers only from its mentor's approved content, in their style, 24/7, and hands off to a live session when a human is needed.
  • AI matching, sessions and chat. Learners are matched on goals, skills and language, then book 1:1 or group sessions and chat in real time.
  • White-label, separate UI per account. Organisations launch Shidosha under their own brand and domain with a private mentor pool. Seekers, mentors and admins each get their own view.

Where it fits

Corporate L&D · Universities · Incubators & accelerators · Coaching firms · Healthcare training · Sales enablement · Professional associations · Creators & experts
03Field Service Management · Multi-tenant White-label Platform•United Kingdom

Beboc · Reach for Trades

A multi-tenant field service platform with an AI assistant that doesn't just chat, it gets the work done.

Websitebeboc.co.uk/solutions/reach-trades ↗
Built for Beboc, the UK technology partner serving organisations from FTSE 100s to start-ups, with a client base that includes Octopus Energy, Yu Energy and Voltari.

About the project

Reach for Trades, an evolution of Beboc's REACH enterprise platform, is field service management software for trade businesses such as HVAC, plumbing, electrical and general contracting firms. Office teams get a web app, field operatives get an offline-first mobile app, and everyone works from one source of truth.

The everyday pain

Leads sat in spreadsheets, quotes in Word, site visits on paper, and invoices went out weeks after the job was done. The office had no live view of the crews, operatives on remote sites lost signal and lost data, and cash flow suffered because billing waited on paperwork.

How we solved it with tech & AI

  • True multi-tenant, white-label platform. Each business gets its own branded workspace on its own subdomain, with strict tenant-level data isolation. New customers are onboarded by configuration, not deployment.
  • Different UI for every role. Business owners see revenue dashboards, office admins run quoting and invoicing, and field operatives get a focused mobile app. Each role sees only what it needs.
  • Scoop, the AI assistant. Plain-English commands such as “what's my schedule today?” or “create a project for Jane Cooper” trigger real actions through the platform's APIs, with the same permission checks as the UI.
  • Lead-to-cash automation. Quote → approval → project → visit → invoice → Stripe payment, with PDF documents and push, email and SMS reminders, all fully audit-logged.
04FinTech · Bookkeeping Automation•Accounting firms & finance teams

Sync Accounting

Intelligent document processing that turns piles of checks and statements into clean, approved QuickBooks entries.

WebsitePrivate client deployment
Built for CPA firms and in-house finance teams running QuickBooks Desktop, the segment most automation tools ignore.

About the project

Sync is a full-stack financial automation platform. It ingests checks, bank statements and multi-check batches, extracts structured transactions with an OCR and AI pipeline, and pushes validated entries straight into QuickBooks Desktop without re-keying.

The everyday pain

Skilled accountants were spending most of their week doing data entry, with a bookkeeper keying 150–300 checks a week at roughly four minutes each. Vendor names were spelled ten different ways, errors surfaced only at month-end, there was no audit trail, and QuickBooks Desktop had no modern API to plug into.

How we solved it with tech & AI

  • Document intelligence. Every upload is auto-classified as a check, a bank statement, a statement with checks or a multi-check batch, and routed to its own extraction pipeline.
  • Multi-engine OCR with fallback. Tesseract, EasyOCR and Google Cloud Vision are chained so that clean PDFs, phone photos and faded scans all get read.
  • LLM extraction and self-learning payee matching. An OpenAI layer parses amounts and payees, and fuzzy matching maps them to the firm's vendor list. Every correction teaches the system, so it gets sharper per firm.
  • Human-in-the-loop, then ledger. Confidence scoring sends doubtful items to a review queue with the reason flagged. Nothing reaches QuickBooks without approval, and sync runs through Web Connector (qbXML) or the native SDK.
05Logistics · B2B White-label Platform•Australia & New Zealand

PalletWatch

Keeping a live, nationwide white-label pallet-control platform fast, accurate and AI-assisted at production scale.

Websitepalletwatch.com ↗Live demopalletwatch.com/demo · 30-day free trial ↗
Paper docketPhoto or scan, any format
→
✦
Gemini vision OCRReads docket no., partner, equipment, qty
→
✓
Validation rulesPartner match, delay days, duplicates
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DKT48213
PartnerCHEP
TypePLAIN
Qty+24
Posted transactionReconciled & in IOU reports
Node.js on AWS LambdaPostgreSQL with tuned connection poolingScheduled reports & alerts
In market since 2010 and used across Australia and New Zealand by national retail chains with hundreds of stores, 3PLs, carriers, manufacturers, food-service and pharmaceutical distributors.

About the project

PalletWatch is a cloud pallet-control platform. It tracks every pallet movement between trading partners, automates imports and exports with pallet-hire companies such as CHEP, reconciles hire invoices, and sends weekly owed-equipment (IOU) reports.

The everyday pain

Lost pallets are lost money. Dockets arrived as paper and scans in dozens of formats, manual entry was slow and error-prone, and reconciliation turned into a month-end firefight. As data volumes grew, searches slowed down and silent failures started creeping into a system customers rely on every day.

How we solved it with tech & AI

  • Gemini-powered docket scanning. Users upload a photo or scan, and Google Gemini vision extracts the docket number, trading partner, equipment type and quantities into structured transactions, validated before posting.
  • Serverless core. Node.js on AWS Lambda with PostgreSQL scales with demand, and you pay only for what runs.
  • Production-grade reliability. We resolved Lambda-to-database connection-pool pressure under peak concurrency, eliminated 504 timeouts, and turned silent failures into explicit, alerted errors.
  • Search, reporting and accounts. Optimised search queries, scheduled reports emailed to partners, and enterprise account and access management, including account splits by state and region for large customers.
06GovTech · White-label Utility Billing•India

Jalmitra

A government-backed initiative to digitise municipal water billing, with AI that pinpoints where water and revenue are being lost.

WebsiteGovernment deployment
Government-backed initiative. Kylient is empanelled with government bodies to deliver utility digitisation for municipal corporations, utility providers and urban local bodies.

About the project

Jalmitra (Spot Billing Management System) is a white-label platform for water utilities. It combines a web command centre for officials, an Android POS app for field agents and an AI analytics layer for meter reading, billing, payments, complaints and water-loss intelligence.

The everyday pain

Meter readings were written on paper and bills calculated by hand, so weeks passed between a reading and a bill. Payments lived in spreadsheets and every tariff change needed a developer. Worst of all, no one could say how much water was leaking or how much revenue was being lost.

How we solved it with tech & AI

  • White-label, multi-tenant platform. Each municipality or utility gets its own branded portal, logo on bills and receipts, tariffs and data, fully isolated. A new body goes live in four configuration steps, with no code changes.
  • AI on every reading. Computer vision reads meter photos, anomaly detection catches abnormal, stuck or tampered meters before a bill is issued, and ward-level water-loss and defaulter-risk insights show officials where to act (see next page).
  • Spot billing in the field. Agents look up a consumer by meter number, enter or photograph the reading, and a bill is calculated and printed on a Bluetooth thermal printer on the spot. Works offline and in multiple languages.
  • Configurable tariffs and module-level RBAC. Slab, per-capita, fixed and late-fee rules per ward, set by admins. Officials and agents each get their own UI, and thousands of consumers are bulk-imported from Excel.
06Jalmitra · Deep dive

The AI layer behind Jalmitra

Digital billing removes paper. The AI layer goes further: it checks every reading, spots water loss and tampering, and tells officials and field teams where to act next, across every ward and every town on the platform.

Six AI capabilities, built into daily operations

01AI meter readingAgents photograph the meter and computer vision reads the dial, auto-fills the value and flags any mismatch with what was typed, so there are no guessed or fudged readings.
02Consumption anomaly detectionEvery reading is checked against the consumer's own history, the season and similar households. Spikes, zero or negative usage and stuck meters are caught before a bill is issued.
03Leakage & water-loss insightsBulk supply into each ward is compared with what was billed. Wards are ranked by water loss, and sudden jumps that point to bursts or illegal connections raise alerts.
04Tamper & theft signalsPatterns such as months of zero use at occupied premises, reading reversals or repeated “meter not accessible” notes build a prioritised inspection list.
05Collection prioritisationPayment history drives a defaulter-risk score, giving each field agent a daily visit list ordered by likely recovery.
06Demand forecastingWard-level consumption forecasts help engineers plan supply for summer peaks, new colonies and network extensions.

How AI runs through a billing day

Photo readingAgent captures the meter at the doorstep, online or offline.
→
AI validationVision OCR plus anomaly checks confirm the reading in seconds.
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Bill printedCorrect tariff applied and the bill printed on the spot.
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Exceptions routedSuspicious readings and tamper signals go to supervisors.
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InsightsWater-loss, collection and demand trends on the officials' dashboard.
Learning loop: every reading a supervisor confirms or corrects improves the anomaly models for that ward, so alerts get sharper and false flags drop over time.

Government-backed. White-label by design.

Jalmitra is a government-backed initiative, live in 18+ towns across India, and Kylient is empanelled with government bodies to deliver it.

  • Each municipality or utility runs under its own name and logo on portal, bills and receipts
  • Tariffs, wards, roles and languages configured per body, with data fully isolated
  • One platform serves many bodies, with no separate codebase for each

New municipality live in 4 steps

  • 1. Create the project for the municipality or utility
  • 2. Configure towns, wards and tariff rules
  • 3. Add users and roles for officials, supervisors and field agents
  • 4. Import consumers from existing Excel records in one session

No code changes, no new servers, and agents can start billing the same week.

Kylient

Have a manual process that should be a product?

We support projects from discovery and execution through to operations.

Websitewww.kylient.com Emailsolutions@kylient.com Phone+91 93018 38900
First Floor, Plot No. 55, Ratna Lok Colony, Scheme No. 53, Vijay Nagar, Indore, M.P., India