Vaitheesh Kolady
25+ years leading engineering at Oracle, SunGard, and Limelight. Scaled global teams and built enterprise platforms at scale. Second-time entrepreneur.
One platform for every retail space you build and run.
Retail lives in physical space. ThinkNeural is the AI layer for that space. SpaceZap designs it. Sakshi reads it. DataDime answers questions about it. It works for store one. It works for store five hundred.
Ask any architect how long a retail fit-out takes. The honest answer is months. SpaceZap changes that answer to minutes.
Upload a DXF or DWG site outline. Or scan the raw space with a phone and LiDAR turns it into an accurate floor plan and 3D model.
The ML model learns your store design and repeats it precisely on every new space. Gondolas, wall bays, trial rooms and the cash counter land where your rules say. Aisle widths follow your standards.
Every wall, opening and aisle is dimensioned in millimetres on a proper setting-out grid. Your contractor builds from the docket on day one. Files export to AutoCAD.
Once your layout is approved, SpaceZap produces the full trade set from it. The coordination that used to take weeks happens in minutes.
Every item in the design is counted and measured. Procurement can start the day the design is approved.
| Item | Unit | Qty |
|---|
Your stores already have cameras. Right now they only watch for theft. Sakshi puts them to work. Who walks in. Where they go. How long they stay. Which zones they never reach.
Count every visitor. See exactly where they slow down and where they walk past.
Catch a missed checklist or a uniform lapse the moment it happens, not at the next audit.
Match your team to real customer patterns before thin coverage costs you a sale.
SpaceZap gives you the layout. Sakshi gives you the signal. DataDime lets you talk to both.
Most retail tools solve one slice of the problem. ThinkNeural covers the whole life of a space. Each product stands on its own. Together they form the AI platform for retail.
Builds it. Layouts, GFC, MEP dockets and BOQ from a DXF, DWG or phone scan.
Reads it the moment it opens, on the cameras already in place.
Answers the questions that follow, in plain language.





Yes. Once your layout is approved, SpaceZap produces the full trade set from it. Power, lighting, HVAC, plumbing, cable tray, CCTV, signage, partition, flooring, and finishes. Ten drawings compile in one click, along with a contractor-ready BOQ. The coordination that used to take weeks happens in minutes.
No. Sakshi runs on the CCTV you already have. It reads your existing feeds and turns them into floor data, so there is no new hardware and no rip-and-replace.
All footage and site data is encrypted in transit and at rest. Every deployment has role-based access control and full audit logs, and our data handling follows India's Digital Personal Data Protection (DPDP) Act.
Yes. SpaceZap applies the same brand design to store one and store five hundred with the same effort. Sakshi runs across every site on the cameras already in place.
Cloud, on-premise, and hybrid. Tell us your camera network and your rollout plan and we will map the right fit.
Yes. Retail, hospitality, and leisure teams run on the same platform with pricing matched to store count and scope.
Tell us about your rollout or your camera network. We will run a live thirty-minute demo on a real space from your own network. No commitment. You will see what SpaceZap designs and what Sakshi surfaces before you decide anything.
Or write to sales@tneuralai.com · General enquiries: info@tneuralai.comPractical reading for retail, design and security teams on turning stores, cameras and floor data into decisions.
ThinkNeural.ai builds ethical, AI-driven tools that help retail and commerce professionals make smarter decisions, automate tasks, and drive innovation.
Retail first. Built to scale into every industry.
ThinkNeural AI is a multi-agent platform transforming retail with automation, analytics, and edge intelligence. Built for scale, it extends into broader agentic solutions across industries. It helps enterprises solve complex challenges with speed and impact.
Our architecture lets intelligent agents work together. Each one specialises in automation, analytics, edge computing, or decision intelligence. Together they deliver real-world impact across industries.
We are transforming the retail sector today, powering operational AI, predictive workflows, and real-time insights. The platform is designed for more. It is built to scale into agentic ecosystems that serve finance, healthcare, logistics, and beyond. ThinkNeural AI is not just a product. It is a problem-solving engine for the modern enterprise.





25+ years leading engineering at Oracle, SunGard, and Limelight. Scaled global teams and built enterprise platforms at scale. Second-time entrepreneur.
14+ years as a Solution Architect at Cisco, Ericsson, and IDEA. A second-time founder with deep expertise in operational AI and agentic workflows.
14+ years building scalable cloud, ML, and SaaS systems. Master of AWS, CI/CD, infra automation, and full-stack engineering.
USC-trained AI engineer. Ex-AWS, Symantec, Cadence, Alan AI. Expert in LLMs, spatial computing, and predictive modeling.
IIM Kozhikode + XLRI. Scaled teams of 250+ across operations and GTM. Deep understanding of enterprise behavior, adoption, and execution.
We are a small team building hard technology. That only works when people trust each other, speak up and enjoy showing up. This is what it looks like on a normal week.
Our work runs in live stores, banks and campuses. We test it where it lives, not just on a laptop.
Interns ship. Engineers talk to customers. Everyone owns something that matters.
A launch, a new customer, Onam, a birthday. It all gets celebrated, usually with cake and sometimes with a long dinner.
We leave the office as a team. The best ideas often show up away from the desk.
ThinkNeuralAI is a suite of enterprise AI agents designed to automate business processes, analyze visual data, and enable intelligent decision-making. Our product ecosystem includes:
We would love to show you a demo. Get specific use cases, personalised pricing, and answers to all your questions.
Where ThinkNeural shows up. Trade shows, launches, talks and the teams we meet along the way.
In-Store Asia is the largest trade fair in the Indian subcontinent for store design, visual merchandising and retail technology. Every year it brings retail and brand teams to Mumbai to see what comes next for the store.
We were at stand F42 with one message. From site to store in hours, not weeks.
Visitors watched SpaceZap at work. Scan a raw space. Automate the design. Get the RECCE, ten technical layouts and the BOQ on the spot. The rest of the ThinkNeural ecosystem came along too. Sakshi for what happens on the floor once the store opens. DataDime for the questions that follow.
We also took the stage at the In-Store Asia conference. Our team joined a panel on fit-outs and infrastructure for new retail projects. It was a good room to make the case that store rollouts can move at the speed of software.
Thank you to everyone who stopped by the stand and the session. If we met at the show, let's keep the conversation going.
<1 dayFrom site scan to construction-ready set.
10Technical layouts generated per store.
50%+Compared with the manual fit-out process.
ThinkNeural is incubated with Kerala Startup Mission under its LEAD program. KSUM is the Government of Kerala's nodal agency for startups. It sits at the centre of one of the most active startup ecosystems in the country.
We have also received KSUM's Productisation Grant. The grant backs startups that are turning a working product into a market-ready one. For us, it backs the work of taking SpaceZap, Sakshi and DataDime from proven products to rollouts at scale.
ThinkNeural is also recognised under Startup India, the Government of India's flagship programme for startups.
Building deep tech from Kerala means building alongside this ecosystem. We are proud to be part of it.
ProductisationAwarded by Kerala Startup Mission.
Startup IndiaRecognised under the Government of India's Startup India initiative.
Huddle Global is India's largest beachside startup festival. Kerala Startup Mission runs it on the seafront at Kovalam. The 2025 edition was its seventh.
ThinkNeural was selected for the festival's Product Launch track. Our team took the main stage and launched our product to a room of founders, investors and industry leaders.
Three days by the sea also meant three days of conversations. Investors, mentors, fellow founders and future customers, all in one place.
Thank you to the KSUM team for building a stage like this for Kerala startups.
Product launchSelected for the Product Launch track.
7thIndia's largest beachside startup festival.
KSUMKerala Startup Mission, Kovalam.
Secu Fest Expo 2026 is Kerala's largest security and automation expo. It is organised by AKESSIA, the All Kinds of Electronic Security and System Integrators Association. That is exactly the room Sakshi was built for.
ThinkNeural came on board as Platinum Sponsor and Platinum Technology Partner, with Sakshi AI at stall P3.
Our message was simple. Your CCTV sees everything. Does it tell you anything? Sakshi turns any camera into real-time alerts, insights and compliance. No new hardware.
At the stall we walked visitors through live alerts and dashboards. We talked through use cases across retail and consumer electronics, BFSI and gold loan, education, manufacturing and pharma, and salons and wellness.
On stage, AKESSIA honoured Sakshi AI with a memento. Thank you to the AKESSIA team for a well-run expo.
Integrators are how Sakshi reaches every store, bank and campus in Kerala. If you install cameras, let's talk about partnering.
PlatinumSponsor and technology partner.
AKESSIAKerala's security and system integrators.
0New hardware needed. Runs on the CCTV you own.
Stand F42 with live SpaceZap demos, plus a conference panel on fit-outs and infrastructure for new retail projects. Read the story
Incubated with Kerala Startup Mission under the LEAD program, and awarded KSUM's Productisation Grant. Read more
Selected for the Product Launch track at Kerala Startup Mission's beachside startup festival. See the photos
Sakshi AI at stall P3 at Kerala's largest security and automation expo, organised by AKESSIA. See the photos
Planning a show, a launch or a store visit with us? Tell us and we will meet you there.
We build AI that works inside stores, banks and campuses. Not in a demo. On real floors, with real cameras and real deadlines.
If you want to learn fast and ship things people use, start here.
Every intern works on live projects with our team and receives a stipend for the full internship.
Work next to the people who sell, plan and deliver our products. You get real accounts, real rollouts and real numbers.
Six months is long enough to own something. You build alongside our engineers on products running at customer sites today.
Tell us which internship you want and when you can start.
A short conversation with the team you would join.
Join a live project from your first week.
Send your CV to careers@tneuralai.com. Mention the internship in the subject line.
We post openings for experienced candidates here as they come up. Check back often.
New roles are posted here first. If you are great at what you do and believe in what we are building, send your CV to careers@tneuralai.com anyway.
Last Updated: March 27, 2025
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We use your information for the following purposes:
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We implement reasonable security safeguards as mandated by the DPDP Act to protect your personal data from unauthorized access, loss, or alteration. These measures include encryption, access controls, and regular security assessments. However, no system is entirely immune to risks, and we encourage you to report any concerns immediately.
As a “Data Principal” under the DPDP Act, you have the following rights regarding your personal data:
To exercise these rights, contact our Data Protection Officer (details below). We will respond within the timelines prescribed by the DPDP Act.
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We may update this Privacy Policy to reflect changes in our practices or legal requirements. The updated version will be posted on our website with the “Last Updated” date revised. For material changes, we will notify you via email or through our Services, as required by the DPDP Act.
We have appointed a Data Protection Officer to oversee compliance with this Privacy Policy and the DPDP Act. For inquiries, requests, or grievances, contact:
Data Protection Officer
ThinkNeural.ai
privacy@thinkneural.ai
If unsatisfied with our response, you may approach the Data Protection Board of India once established under the DPDP Act.
For questions about this Privacy Policy or our data practices, reach out to:
ThinkNeural.ai
info@thinkneural.ai
This policy is being finalised and will be published here soon. In the meantime, get in touch if you have any questions.
This policy is being finalised and will be published here soon. In the meantime, get in touch if you have any questions.
This policy is being finalised and will be published here soon. In the meantime, get in touch if you have any questions.
Plain-spoken guides on store design, camera data and conversational analytics, written for the people who run stores, branches and malls.
A retail fit-out usually takes months because design, drawings and quantities pass between teams by hand. Here is where the time goes, and how SpaceZap brings it down to minutes.
No site drawing yet? Walk the empty shell with a phone and LiDAR. SpaceZap turns the scan into an accurate floor plan and 3D model your team can design on.
Brand consistency across hundreds of stores is hard when every layout is drawn by hand. See how SpaceZap learns your design rules and repeats them on every new space.
GFC drawings and MEP dockets are what a contractor actually builds from. A plain-language guide to what they contain, why they take weeks, and how SpaceZap produces them.
A bill of quantities counted by hand holds up procurement for weeks. See how SpaceZap measures every item in the design so ordering can start the day it is approved.
Most stores record video and only look at it after something goes wrong. Here is how the CCTV you already own can report on visitors, movement and dwell time every day.
Three simple numbers explain most of what happens on a store floor. Here is what footfall, dwell time and bounce ratio mean, and how a manager can use them each morning.
Audits find lapses weeks after they happen. Video analytics on your existing CCTV can flag a missed checklist or uniform issue as it occurs, so teams fix it the same day.
Rosters are often built on habit. When you can see how many customers arrive each hour and where they go, you can place your team where customers actually are.
Using cameras for store insight raises fair questions about privacy. Here is what responsible video analytics looks like: counts and patterns, clear purpose, and no new cameras.
Branch cameras mostly record incidents for review later. Here is how video analytics on the CCTV you already have can flag unusual behaviour while there is still time to act.
Long waits frustrate customers and are hard to see from a head office. See how existing branch cameras can show queue length and wait time, hour by hour.
ATM lobbies generate a flood of alerts that teams learn to ignore. Here is how to keep the ones that matter, using the cameras you already have.
Branch data often sits in reports few people have time to read. See how asking questions in plain language gets operations heads answers without waiting on an analyst.
Conversational analytics lets retail teams ask about their stores in plain words and get an answer. Here is what it is, and where it helps most.
Some zones in a store get visits and some are walked past. Learn which questions about zones are worth asking, and how floor data turns them into decisions.
Online stores know every click. Physical stores often know only the till total. Here is why the data gap exists, what it costs, and how existing cameras can close it.
Mall operators know total entries but little about how visitors move between and inside tenant stores. Here is what footfall data across tenants can show, and how to use it.
A hundred new stores a year can overwhelm a design team that works store by store. Here is how repeatable rules and faster drawings keep the pace manageable.
A store passes through design, build, opening and daily operation. See how one connected platform links layout, drawings, camera data and plain-language questions across that whole life.