AI that does real work in your business, and stays checked.
AI agents that answer customers and book visits, tools that find answers in your documents, and models that forecast. Built by senior engineers, and watched by people after launch.
Every system ships with monitoring, tests and human checks.
Your businessAI assistant · onlineExample
Hi, can I visit the site tomorrow? I want to see a 2BHK.8:15 PM
Hello! Yes, a visit tomorrow is possible. These two slots are free:
11:00 AM4:30 PM8:15 PM
11 AM works for me8:16 PM
Done! Your visit is booked for tomorrow at 11:00 AM. We will send the location here.8:16 PM
Visit booked · lead saved to CRM
Can the price be a little lower?8:17 PM
Our sales team is best placed to help with pricing. Connecting you to them now.8:17 PM
Handed to a person
Message
ExampleWatch it workA property enquiry after office hours, handled on WhatsApp.
1Customer asks on WhatsAppIn their own words, at any hour.
2The agent replies and booksTwo free slots, straight from your calendar.
3Lead saved to your CRMWith the visit time and what they want.
4Unsure? A person takes overPrice questions go to your sales team.
Five ways to put AI to work.
Each one starts with a single task and real examples from your business. Every card shows a small example of what goes in and what comes out.
01 of 05
AI agents
Agents that answer your customers on WhatsApp, voice calls and website chat, at any hour. They book appointments, update your CRM, and hand over to a person when they are not sure.
A question becomes a booked visitExample
Input"Hi, can I visit the site tomorrow? I want to see a 2BHK."WhatsApp, 8:15 PM
ResultSite visit booked, tomorrow 11:00 AMLead saved to CRMReminder sent
What you get
An agent on WhatsApp, voice calls or your website chat
Answers written from your own FAQs, prices and policies
Bookings, reminders and CRM updates
Clear rules for handing over to a person
A log of every conversation your team can read
Timeline
Set in your written proposal
How you can hire us
Project + monthly support
Good fit if you get the same questions every day, or lose enquiries that arrive after office hours.
Tools that let your team chat with your documents, search everything you have written, and draft or summarise text. Every answer shows where it came from, so people can check it.
A 40-page PDF becomes an answerExample
InputVendor agreement.pdf, 40 pages"What is the notice period?"
Result60 days' written notice, from either side.Source: page 12, clause 9
What you get
Chat with your documents, with the source shown
AI search across your files and knowledge base
Writing and summary tools for routine documents
Access by role, so people see only what they should
Timeline
Set in your written proposal
How you can hire us
Project + monthly support
Good fit if your team spends hours searching contracts, policies or past replies.
Models that learn from your past records to predict what comes next: sales, demand, which leads will buy, or which payments look wrong. You get the prediction and the main reasons behind it.
Past sales become a forecastExample
Input24 months of sales
ResultNext month: 1,150 to 1,300 unitsMain reason: festive season
What you get
A check of your data before we promise anything
A model for forecasts, lead scores, recommendations or fraud checks
Accuracy tested on records the model has never seen
Results in your dashboard, CRM or a simple report
Timeline
Set in your written proposal
How you can hire us
Project
Good fit if you have a good history of records and a decision you make again and again.
We study how your business works and find where AI will really save time and money, and where it will not. You get a ranked plan with costs before you spend anything on building.
Your processes become a ranked listExample
InputEnquiriesInvoicesWeekly reportsFollow-ups
Result
Enquiry replies: saves the most
Invoice entry
Weekly reports
What you get
Talks with the people who do the work
A review of your tools and data
A ranked list of AI uses, by time and money saved
Costs and timelines for the top picks, in a report you keep
Timeline
Set in your written proposal
How you can hire us
Assessment
Good fit if you feel AI could help but are not sure where to start.
Ongoing care for any AI system, whether we built it or not. We watch its answers, test it every month, fix what goes wrong and send you a report in plain language.
A month of AI work becomes a reportExample
InputA month of conversations, tests and alerts
Result: monthly report48 of 50 test questions passed2 answers fixed5 handovers reviewedAI usage, billed at cost
What you get
Monitoring of answers, errors and handovers
Monthly tests with real questions
Fixes and improvements every month
A monthly report, with AI usage billed at cost
A record of every change, for your own audits
Timeline
Monthly, agreed in your written proposal
How you can hire us
Monthly
Good fit if AI already talks to your customers or staff, and you want someone watching it.
AI can make mistakes, so nothing we build runs unattended. Every AI system ships with monitoring, tests and human checks, working together in a loop.
1The AI actsIt answers, books, drafts or predicts, only inside the rules and tools you agree to.
2Monitoring watchesConversations and results are logged. Alerts reach us when something looks wrong.
3Tests checkBefore every change, and every month, we run it against real examples to catch mistakes early.
4A person approvesAnything risky, unclear or new, like a discount, goes to a person on your team first. Every AI agent has rules for handing over.
How a project runs, step by step
We always start with one use case, not ten.
1
Pick one use case
We agree on one task worth doing first, such as replying to site-visit enquiries, and how we will measure it.
You receiveA one-page plan: the task, the goal and how we measure it.
2
Data and access
You share sample data and access to the tools it must use. We sign an NDA on request, and a data processing agreement.
You receiveA data and access checklist, and the signed agreement.
3
Build and test with real examples
We build the first version and test it on your real past messages, documents or records.
You receiveWeekly demos, and a test report showing what it got right and wrong.
4
Pilot with your team
A small group uses it for real work, and a person checks its work before anything goes out.
You receiveA pilot report, and a short list of fixes before going live.
5
Go live with monitoring
It goes live with alerts, logs and handover rules switched on, and we train your team.
You receiveDocumentation, training and a go-live checklist.
6Every month
Improve every month
We read the logs, run the tests again and improve answers as your business changes.
You receiveA monthly report, with AI usage billed at cost.
Data and privacy
Your data, explained.
Before we build anything, you know what the AI sees, where your data lives and who can reach it.
What the AI sees
Only what the task needs. A booking agent sees the chat and your free slots, not your accounts.
Where it is stored
In a cloud account we agree with you. On request, your data stays in the country or region we agree in writing, such as India.
Who can access it
The people you name and the engineers on your project, listed in writing before we start.
Consent and privacy law
We follow India's data protection law (DPDP) and sign a data processing agreement. If other rules apply to you, we set out in writing what we do for each. Notices and consent are built into the chat or form where data is collected.
How AI providers handle it
Which AI providers your system uses, and how each one handles your data, is set out in writing before we start.
Data sheetWhatsApp agent for site visitsExample
Sees
Chat messages, name, phone number and free visit slots
Never sees
Payments, bank details or your accounts
Stored in
A cloud account agreed with you. On request, in the country or region we agree in writing, such as India
Access
The people you name, and our project engineers
AI provider
Named in writing before we start, with how it handles your data
Kept for
How long it is kept is agreed in writing, then it is deleted
Consent
A notice and consent in the first message
Privacy lawAgreed with you in writing before we start, alongside the data processing agreement.
Quick check
Is AI right for you?
Four yes or no questions, and we suggest where to start. A quick guide, not a diagnosis.
1Do customers ask you the same questions every day?
2Do you have documents or data that people search through?
3Do enquiries arrive outside office hours?
4Do you know which task wastes the most time?
Your suggestion
Answer all four questions to see where to start.
0 of 4 answered
We will point you to AI agents, a generative AI tool, or the AI readiness assessment, with a short reason.
What you own, and what we need from you.
You own
The code, prompts and settings that make your AI work
The accounts for your AI and messaging tools, in your company's name
Your data and the conversation logs
Documentation, and the test examples we use to check the AI
30 days of free fixes after launch
We need from you
1One person who knows the task well, for a short time each week
2Real examples: past chats, FAQs, documents or records
3Access to the tools it must use, such as your CRM, calendar or WhatsApp Business account
4Your rules: what the AI may do alone, and when it must hand over to a person
5Quick feedback from your team during the pilot
Ways to work with us.
Every option starts with a written proposal with scope, timeline and quote. No cost until you agree.
Project
We build one agent, AI tool or model with a fixed scope and timeline, and show you working software every week.
Used for: AI agents, generative AI applications, machine learning models.
Monthly care plan
We monitor, test and improve your AI every month and send a plain report. AI usage is billed at cost and shown in it.
Used for: AI care and governance, and support after any project.
Assessment
A short, fixed piece of work that ends in a ranked plan with costs, so you know where AI helps first.
Used for: the AI readiness assessment.
Questions
Did not find your answer? Ask us in the form below.
What if the AI makes a mistake?
It can happen, so we plan for it. Every AI agent has rules for handing over to a person, and anything risky waits for a person to approve. Monitoring and monthly tests catch mistakes, and we fix them. During the pilot, a person checks its work before anything goes out.
What does AI usage cost?
AI providers charge for each message, call or document processed. We bill this usage at cost and show it in your monthly report. Your proposal includes an estimate based on how many messages or documents you expect.
Will our data be used to train public AI models?
Before we start, we set out in writing which AI providers your system will use and how each one handles your data, including whether it can be used to train their models. So you decide with the facts in front of you.
Does it work in languages other than English?
English and Hindi. For other languages, including Indian regional languages and the languages of your customers, we first test with your real messages and show you how well it works before you decide.
How much data do we need?
For AI agents and document tools, your FAQs, price lists, policies and a sample of past chats or documents are usually enough to start. Prediction models need a good history of records, and we check yours first. If you are not sure, the readiness assessment checks what you have.
Can it work with our existing CRM?
Usually, yes. We connect to CRMs such as Zoho CRM, HubSpot and LeadSquared, and to tools like Google Sheets, through their official connections. If your CRM cannot connect, we say so in the written proposal, before any work starts.
Tell us about your AI project
Describe the task in a sentence. You get a written proposal with scope, timeline and quote. No cost until you agree.
Reply within 1 working day · NDA on requestContinue