AI and software for specialty-chemical companies and their channel partners.
ZeroOne DOTS AI, an AI automation company in Udhna, Surat, builds controller-monitoring, quoting, dosing, dispatch and sales software for specialty-chemical principals and their channel partners across India. Its Ranger platform, built for Dorf-Ketal Chemicals, went live two days after the project started, and 56 controllers across five customers were loaded in its first weeks. Custom builds start from ₹50,000 one-time.
We already work at every link of the chain: a principal's controller fleet (Dorf-Ketal Chemicals), a service and distribution firm's quotes, dosing and dispatch (NeoNir Engineering), and the plant reports of eight water-treatment dealers (AquaServe). Start with the problem that costs you most; connect the rest later.
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20+ client companies · 75+ live portals we host · 12 case studies
Updated · Reviewed by Meet Deshani, founder
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| Ranger platform at Dorf-Ketal | Live 2 August 2026, two days after the project started |
|---|---|
| Controllers loaded | 56 across five customers; a pilot set of 14 on the direct feed |
| Early warning | Trends flagged up to 14 days before an alarm band |
| Readings history | More than 91,000 rows behind the trend graphs |
| NeoNir on one login | Service reports, dispatch, dosing, quotation, HR and CRM |
| NeoQUOTE | Built in four days (August 2026) to replace a 15–20 day quotation relay |
| AquaServe | 8 water-treatment dealers on one platform; 124 end-customer plants (September 2026) |
| AI sales desk | 348 cold calls, 203 answered; the bot never quotes a price |
| Founder | Meet Deshani, chemical engineer (NIT Jaipur) |
| Office | Udhna, Surat, Gujarat · Mon–Sat 10:00–19:00 |
| Custom builds | From ₹50,000 one-time, up to ₹5 lakh and beyond |
- Specialty-chemical principals whose technical-services or data-science teams watch controllers at customer plants
- Channel partners and distributors who survey, quote, dose and dispatch for a principal
- Water-treatment chemical companies and dealers whose engineers report on every plant they service
- Chemical and ingredient makers taking a new product line to buyers they do not know yet
The vendor portal shows one controller at a time, and nothing pushes an alarm to a person
Every controller in one customer → plant → system hierarchy, each reading checked against four alarm bands as it arrives
An offer passes through a survey sheet, a calculation sheet and two hand-assembled documents over 15–20 days
One portal computes the water balance and control limits and produces the Word and PowerPoint offers
Planned dosing is checked against a 7,000-row register export, months later
Planned and actual dosing reconciled continuously
A new product line, one salesperson and ten emails a day
An AI desk calls and follows up, then hands interested buyers to your salesperson, the only one who quotes a price
A 30-minute call with your technical-services head or channel MD. We pick one problem: the controller fleet, quotes, dosing, dispatch or new buyers.
A first version on your own controller exports, readings or Tally data. The Ranger platform went live at Dorf-Ketal two days after its project started.
Review rounds with your team, each one a shipped release; then the next link in the chain once the first has paid its way.
- Dorf-Ketal Chemicals: the Ranger platform watches cooling-water controllers as a fleet, with four-band alarms and 20 troubleshooting workflows. Read →
- NeoNir Engineering: purchase orders into Tally, plan-vs-actual dosing and a quotation portal on one login, each built from a workflow they already ran. Read →
- AquaServe: eight water-treatment dealers run their plant reports on one platform, 124 end-customer plants by September 2026. Read →
- A specialty-ingredients maker: 348 cold calls, 203 answered by a person, and the bot never states a price. Read →
“What took us an afternoon now takes minutes. Our engineers are back to engineering.”
Custom builds from ₹50,000 one-time
Larger multi-step systems run up to ₹5 lakh and beyond. Ready-made products such as AquaServe start from about ₹1,000 a month, billed yearly. No per-use AI fees on what we build; support is optional, from about ₹5,000 a month. Scoped in a 30-minute call.
Tell us what you run. We call back within one working day.
Four fields, no account, no newsletter. A person from the team reads it and replies on WhatsApp with a straight answer: what we would do first, roughly what it costs, or “not yet”.
- A reply within one working day, on WhatsApp or a call
- Your details go into our own CRM and to the team's phone, nowhere else
- No drip emails, no follow-up bots
Can you monitor every cooling-water controller at every customer plant in one place?
Yes. The Ranger platform, which we built for Dorf-Ketal Chemicals, holds every controller, plant and customer in one hierarchy and checks each reading against four alarm bands as it arrives. Readings come by direct controller feed, manual entry or CSV upload, and a trend towards a band is flagged up to 14 days early. 56 controllers across five customers were loaded in its first weeks.
Can we compare planned and actual chemical dosing continuously?
Yes. NeoDOSE, built for NeoNir Engineering, a water-treatment service and distribution firm in Gujarat, reconciles planned against actual dosing continuously instead of from a 7,000-row register export months later. It sits on the same login as NeoNir's dispatch, quotation, HR, CRM and service-report apps.
Does it work with Tally?
Yes. At NeoNir, NeoDISPATCH takes each purchase order into Tally and on through dispatch and delivery, one record per consignment, live since July 2026. We also build Tally add-ons: one syncs both ways with TallyPrime Cloud Access and has run in production since 31 October 2026, with approval on WhatsApp and the e-invoice IRN and e-way bill numbers read back after posting.
Can our channel partners send quotations faster?
That is the job NeoQUOTE was built for. At NeoNir an offer took 15–20 days to pass through a survey sheet, a calculation sheet and two hand-assembled documents. NeoQUOTE, built in four days in August 2026 to replace that relay, computes the water balance and control limits and produces the Word commercial and PowerPoint technical offer; 21 tests reproduce a real offer exactly.
Do you work alongside our own data-science team?
Yes. The Ranger platform was built for Dorf-Ketal's corporate data-science team and shaped with them in review rounds: a 22-point review on 13 August 2026, a 13-point catch-up on 18 August and a demo on 25 August, each one a shipped release. Every administrative change needs a second approver.
Can AI reach buyers for a new product line?
Yes, and a person still sells. For a specialty-ingredients maker moving from animal feed into food ingredients, our AI desk checked lead lists for fit and placed 348 cold calls; 203 were answered by a person and 27 people said they were interested by 16 September 2026. Interested buyers go to the salesperson, the only one who quotes. The bot never states a price.
Where is our data kept?
Portals are hosted for you on servers in India under your own web address, and you can export your data at any time. Private AI can run on a machine in your office and works offline. There are no per-use AI fees on what we build, and we sign an NDA before you share anything sensitive.
What does software for a chemical company cost?
Custom builds start from ₹50,000 one-time and go up to ₹5 lakh and beyond for larger systems. Ready-made products such as AquaServe start from about ₹1,000 a month, billed yearly. Support is optional, from about ₹5,000 a month. Every build is scoped in a 30-minute call.
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