Live stock. Your price list. Your customer’s trade terms.
Agentic AI
infrastructure
that sells
from day one.
We build the AI infrastructure established companies run on: the agents that answer your phones, WhatsApp and inbox, and the software, data and retrieval underneath them. One team builds all of it and answers for all of it, and the work is judged on the revenue it brings in.
The record,
minus the names.
Four builds from a longer list, one per sector. Around them sit WhatsApp agents, multi-agent CRMs, voice bots and generative AI models. The clients keep their names private. We can walk you through the engineering of any of it in a meeting.
Operations without data entry
Money, material, work and customer run as four ledgers, an advisory layer above them. A reply quoting a figure the tools did not return is blocked before it ships.
CLIENT NDA 1,599 tests · 83 migrations Open this buildA voice line for genetic reports
Patients call and ask about their own reports. Answers come from the report itself, never improvised, and a human takes over at defined boundaries.
CLIENT NDA Voice · grounded answers · escalationA CRM the agents live inside
The agents work inside the operating layer itself. WhatsApp threads write structured enquiries straight into the pipeline, and follow-up runs on its own.
CLIENT NDA Multi-agent CRM · WhatsAppConcierges over live inventory
Voice and WhatsApp concierges answering from live inventory, one vector store per city so an event is never invented. Five cities grew to 700+ without support growing with them.
CLIENT NDA 700+ cities · voice and WhatsAppOne build,
opened up.
The furniture manufacturer from the record. They asked for something that behaves like a COO: it watches the business and says what to do. One rule shaped all of it. Nobody sits down to enter data.
A worker speaks. The stock ledger moves.
Press, say what arrived in Hindi, English or both, press again. The system reads it back in one sentence, in the same language. Nothing is written until one tap confirms it.
A delivery challan, read from a photograph.
Quantities go to the floor, rates go to the owner. The floor's tools cannot select a cost column at all, and a test checks that in the SQL itself.
A sales agent that cannot invent a price.
It answers customers from the live catalogue and stock. A figure no tool returned is stopped in the engine, before the reply is sent. Custom work goes to a person, thread attached.
An advisor that shows its rows.
Every finding opens onto the records it came from, and it lists what it cannot see yet above what it found. A confident number nobody can check is the failure this was built to prevent.
The signal drops in the godown. The capture waits.
Held on the phone and sent when the network returns, on Android even with the app closed. A voice note is kept for five days, then only the words remain.
Two companies, one view, separate records.
One owner sees both businesses on one screen. Underneath, every row belongs to one company, with its own tax registration and invoice series, so no document is ever raised against the wrong one.
Python, Postgres with row-level security, a Next.js console, the WhatsApp Cloud API, speech that handles Hindi and English in one sentence, and the client's store catalogue. Walked through live in the meeting.
Four agents,
one playbook.
Each agent decides, acts, writes to your systems and logs what it did. These are the four we are asked for most. They share one playbook, so the answer on the phone matches the answer on WhatsApp, in whichever language the customer used.
Voice
Answers every call on the first ring. Books, quotes, reschedules, escalates by name.
Inbound and outbound · 24/7Messaging
WhatsApp, Slack and site chat, held in one thread per customer across days. Bulk campaigns too, with the replies handled.
WhatsApp · Slack · web chatA Gmail agent acting on your behalf: reads the inbox, drafts and sends what it is cleared to send, flags the rest.
Gmail · drafts and sendsBack office
Invoices, orders, inventory, reconciliation. Runs the sequence end to end and files the record.
ERP · inventory · invoicingThe 02:14 call
you never lost.
This is how we scope a day before anything goes live. Every event is the agent acting on its own, and the two amber marks are where it stops and asks a human.
It works in the
software you run.
Customers keep the channels they already use. The agent reads and writes the systems you already pay for, and anything outside its limits goes to a named person on your team with the whole thread.
Where customers reach it
Your phone line or PBX, WhatsApp Business, email, Slack and the chat on your site.
What it reads and writes
ERP, CRM, accounting, payments and shipping. Tally, SAP, Salesforce, Shopify, or whatever you run.
What it runs on
Models and infrastructure picked for each job, and swapped when something better ships.
It only does what
you signed off.
Every agent runs inside a written envelope: the actions it may take, the amounts it may commit, the data it may see. Change the envelope and behaviour changes the same hour. Nothing needs retraining, and every action can be traced.
From first call
to live in 14 days.
No integration programme, no six month discovery. Four steps, run by the engineers who build the agents.
- 1
Tell it how you actually work
Your price list, your escalation rules, the things a new starter would need told twice. Not a training set, a written playbook.
- 2
Connect the channels and the system of record
Phone, WhatsApp, inbox on one side. Your ERP on the other, in a sandbox until you say otherwise.
- 3
Set the envelope and sign it off
What it may commit, what it must hand over, where the data lives. Change the envelope and behaviour changes the same hour.
- 4
Put it on shift and read the log
Every action timestamped and exportable. You judge it on the record it keeps.
Agents are the part
you talk to.
Underneath sits the infrastructure that makes them worth talking to: the software, the data pipelines and the retrieval. We build the whole stack, so one team answers for all of it.
Agents on your channels
Voice bots built from scratch. Slack agents inside your workspace, a Gmail agent that acts on your behalf, an advisor that answers from your own documents.
The software underneath
Complete line-of-business systems with the agents built in. Database and ERP integrations, inventory managed inside the same platform the agents work in.
Knowledge that compounds
Retrieval over your own documents, tuned to your vocabulary and your part numbers. A company AI that remembers how you work from one conversation to the next.
Marketing that follows up
Generative video produced at volume, WhatsApp campaigns run at scale, and the same agents answering every reply the campaign brings back.
Put one agent on shift.
Judge it on the log.
Thirty minutes with the engineer who would build it. We map one workflow, quote it fixed, and go live in fourteen days.