ThinkNeural.ai · AI Platform for Retail

From empty shell to running floor.

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.

1,000+ stores rolled out10,000+ cameras turned into data
SpaceZap.ai · Store Design Automation
01 Upload or scan

Store layouts and MEP dockets in minutes, not months.

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.

DWG
store_outline.dwg368 sqm · 24.0 × 16.0 m
02 Furniture design

Your brand, applied automatically.

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.

03 GFC dockets

Good for construction. Ready for site.

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.

04 MEP dockets

Ten drawings. One click.

Once your layout is approved, SpaceZap produces the full trade set from it. The coordination that used to take weeks happens in minutes.

  • Power
  • Lighting
  • HVAC
  • Plumbing
  • Cable tray
  • CCTV
  • Signage
  • Partition
  • Flooring
  • Finishes
05 BOQ

A contractor-ready BOQ.

Every item in the design is counted and measured. Procurement can start the day the design is approved.

ItemUnitQty
Quantities taken from the store on screen.
Sakshi.ai · Data for Physical Spaces

Turn every camera into data for your physical space.

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.

In store now0
Footfall0
Avg dwell time0m
Bounce ratio0%

Footfall and dwell time

Count every visitor. See exactly where they slow down and where they walk past.

SOP compliance

Catch a missed checklist or a uniform lapse the moment it happens, not at the next audit.

Staffing and customer insight

Match your team to real customer patterns before thin coverage costs you a sale.

Simulated feed for illustration
DataDime.ai · Conversational Analytics

Ask your stores a question. Get a plain answer.

SpaceZap gives you the layout. Sakshi gives you the signal. DataDime lets you talk to both.

Which zone are shoppers walking past?
DataDimeReading the floor…
What does a price change do to a zone?Where do I add staff next month?Which layout sells better?
Answer drawn from the simulated feed above
ThinkNeural.ai · AI Platform for Retail

One platform, from empty shell to running floor.

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.

SpaceZap

Builds it. Layouts, GFC, MEP dockets and BOQ from a DXF, DWG or phone scan.

Sakshi

Reads it the moment it opens, on the cameras already in place.

DataDime

Answers the questions that follow, in plain language.

1,000+Stores rolled out
10,000+Cameras turned into data
1,000+Hours saved with SpaceZap
Trusted by teams rolling out and running retail at scale
  • Maruti Suzuki
  • Vijay Sales
  • myG
  • Niyaaz
  • Lenskart
  • Haeal
  • Nellikka
  • Wonderla Parks and Resorts
FAQ

Frequently asked questions

Does SpaceZap really generate MEP dockets?

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.

Do I need to install new cameras for Sakshi?

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.

How does ThinkNeural handle data security?

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.

Can this scale across hundreds of stores?

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.

What deployment options are available?

Cloud, on-premise, and hybrid. Tell us your camera network and your rollout plan and we will map the right fit.

Is pricing flexible across industries?

Yes. Retail, hospitality, and leisure teams run on the same platform with pricing matched to store count and scope.

Request a demo

See it on your own floor plan.

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.

Request received. Someone from our team will reach out shortly.
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Or write to sales@tneuralai.com · General enquiries: info@tneuralai.com
From the ThinkNeural blog

Notes on building and running smarter retail spaces

Practical reading for retail, design and security teams on turning stores, cameras and floor data into decisions.

About ThinkNeural.ai

Creating AI with a purpose.

ThinkNeural.ai builds ethical, AI-driven tools that help retail and commerce professionals make smarter decisions, automate tasks, and drive innovation.

About us

A multi-agent platform for the modern enterprise.

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.

The impact so far
1,000+Stores rolled out
10,000+Cameras turned into data
1,000+Hours saved with SpaceZap
Trusted by teams rolling out and running retail at scale
  • Maruti Suzuki
  • Vijay Sales
  • myG
  • Niyaaz
  • Lenskart
  • Haeal
  • Nellikka
  • Wonderla Parks and Resorts
The founding team

A rare blend of enterprise depth, technical mastery, and product vision.

Vaitheesh Kolady

Executive Chair & Mentor

25+ years leading engineering at Oracle, SunGard, and Limelight. Scaled global teams and built enterprise platforms at scale. Second-time entrepreneur.

Raghav Nair

CEO

14+ years as a Solution Architect at Cisco, Ericsson, and IDEA. A second-time founder with deep expertise in operational AI and agentic workflows.

Manoj M

CTO

14+ years building scalable cloud, ML, and SaaS systems. Master of AWS, CI/CD, infra automation, and full-stack engineering.

Surya Ruddaraju

Head of Products & AI Solutions

USC-trained AI engineer. Ex-AWS, Symantec, Cadence, Alan AI. Expert in LLMs, spatial computing, and predictive modeling.

Rakesh Chandran J

CRO

IIM Kozhikode + XLRI. Scaled teams of 250+ across operations and GTM. Deep understanding of enterprise behavior, adoption, and execution.

This is not a founding team you can easily assemble again.They bring the exact blend required to build the hardest version of enterprise AI. Scale, precision, and vision in one team.
Culture

Serious about the work. Not about ourselves.

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.

Build for the real floor.

Our work runs in live stores, banks and campuses. We test it where it lives, not just on a laptop.

Small team. Big ownership.

Interns ship. Engineers talk to customers. Everyone owns something that matters.

Celebrate the wins.

A launch, a new customer, Onam, a birthday. It all gets celebrated, usually with cake and sometimes with a long dinner.

Step out together.

We leave the office as a team. The best ideas often show up away from the desk.

FAQ

Frequently asked questions

What is ThinkNeuralAI Platform?

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:

  • Sakshi.ai. Visual AI for analysing CCTV feeds, headcount, compliance, and operational insights.
  • SpaceZap.ai. AI-driven outlet and store design automation using mobile scans and automated layout generation.
  • DataDime.ai. A private enterprise GPT that lets users chat with their data, generate insights, automate reports, and forecast business outcomes.
See more FAQs
Seeing is believing

See ThinkNeural.ai in action.

We would love to show you a demo. Get specific use cases, personalised pricing, and answers to all your questions.

News and events

Out on the retail floor.

Where ThinkNeural shows up. Trade shows, launches, talks and the teams we meet along the way.

Featured · Trade show

ThinkNeural at In‑Store Asia, Mumbai.

Bombay Exhibition Centre, MumbaiStand F42Add dates

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.

Project turnaround

<1 dayFrom site scan to construction-ready set.

Automated output

10Technical layouts generated per store.

Operational savings

50%+Compared with the manual fit-out process.

Milestone · Kerala Startup Mission

Backed by Kerala Startup Mission. Recognised by Startup India.

KSUM LEAD programProductisation GrantStartup India recognisedAdd date

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.

Incubated under the LEAD program
Grant

ProductisationAwarded by Kerala Startup Mission.

Recognition

Startup IndiaRecognised under the Government of India's Startup India initiative.

Product launch · Startup festival

Launching on stage at Huddle Global 2025.

The Leela Raviz, Kovalam12 to 14 December 2025Add product name

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.

On stage

Product launchSelected for the Product Launch track.

Edition

7thIndia's largest beachside startup festival.

Organiser

KSUMKerala Startup Mission, Kovalam.

Sponsorship · Trade show

Sakshi AI at Secu Fest Expo 2026, Kollam.

KollamPlatinum SponsorStall P3Add dates

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.

Sponsorship

PlatinumSponsor and technology partner.

Organiser

AKESSIAKerala's security and system integrators.

Sakshi AI

0New hardware needed. Runs on the CCTV you own.

More from the field

Activities and events

  • Exhibitor and panel speaker, Mumbai

    Stand F42 with live SpaceZap demos, plus a conference panel on fit-outs and infrastructure for new retail projects. Read the story

  • Incubation and Productisation Grant

    Incubated with Kerala Startup Mission under the LEAD program, and awarded KSUM's Productisation Grant. Read more

  • Product launch, Huddle Global 2025, Kovalam

    Selected for the Product Launch track at Kerala Startup Mission's beachside startup festival. See the photos

  • Platinum Sponsor, Secu Fest Expo, Kollam

    Sakshi AI at stall P3 at Kerala's largest security and automation expo, organised by AKESSIA. See the photos

Careers at ThinkNeural

Build AI for the real world.

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.

Internship programs

Two ways in. Both paid.

Every intern works on live projects with our team and receives a stipend for the full internship.

For MBA and PGDM students

Business internship

2 monthsStipend

Work next to the people who sell, plan and deliver our products. You get real accounts, real rollouts and real numbers.

  • Sales and MarketingProspect, pitch and grow the pipeline for SpaceZap, Sakshi and DataDime.
  • Project ManagementPlan and track customer rollouts from kickoff to go-live.
  • OperationsKeep deployments, vendors and internal processes running on time.
For engineering students

Engineering internship

6 monthsStipendOpportunity to join full time

Six months is long enough to own something. You build alongside our engineers on products running at customer sites today.

  • Computer visionModels that turn CCTV feeds into data for Sakshi.
  • Spatial AI and design automationLayouts, MEP and BOQ generation for SpaceZap.
  • LLMs, cloud and full stackDataDime, the platform and the apps our customers use.
How to apply

Simple. Three steps.

  1. Send your CV

    Tell us which internship you want and when you can start.

  2. Talk to us

    A short conversation with the team you would join.

  3. Get started

    Join a live project from your first week.

Send your CV to careers@tneuralai.com. Mention the internship in the subject line.

Open roles

Jobs for experienced people.

We post openings for experienced candidates here as they come up. Check back often.

No open roles right now.

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.

Policies

Privacy Policy

Last Updated: March 27, 2025

1. Introduction

At ThinkNeural.ai, we are committed to safeguarding your privacy and ensuring the security of your personal data. This Privacy Policy outlines how we collect, use, process, store, and disclose your information when you use our agentic AI solutions, visit our website (www.thinkneural.ai), or interact with our services (collectively, the “Services”). Our Services provide businesses in India and beyond with advanced AI-driven solutions to enhance productivity, decision-making, and operational efficiency.

This Privacy Policy complies with the Digital Personal Data Protection Act, 2023 (DPDP Act) and other applicable Indian laws. By using our Services, you consent to the practices described herein. If you do not agree, please refrain from using our Services.

2. Information We Collect

We collect information to deliver and improve our Services. Under the DPDP Act, “personal data” refers to any data about an individual who is identifiable. The types of information we may collect include:

a. Information You Provide to Us

  • Personal Data: Name, email address, phone number, or company details when you register for our Services, request a demo, or contact us.
  • Business Data: Data provided by you or your organization to enable our AI solutions, such as operational data, customer information, or other inputs required for our agentic AI to function effectively.
  • Account Information: Login credentials, preferences, and settings when you create an account.

b. Information Collected Automatically

  • Usage Data: Details of your interaction with our Services, such as IP address, browser type, device information, pages visited, and timestamps.
  • Cookies and Similar Technologies: We use cookies and tracking tools to enhance user experience and analyze usage, with your consent where required under applicable law.

c. Information from Third Parties

  • Partner Data: Information shared by business partners or clients integrating our AI solutions, subject to lawful agreements.
  • Publicly Available Data: Data from public sources used to improve our AI models, processed in compliance with the DPDP Act.

3. Lawful Basis for Processing

We process your personal data based on the following grounds under the DPDP Act:

  • Consent: Where you have provided explicit consent (e.g., for marketing communications or data processing).
  • Legitimate Purpose: For delivering our Services, improving AI functionality, or fulfilling contractual obligations with your organization.
  • Legal Obligation: To comply with Indian laws or regulatory requirements.

4. How We Use Your Information

We use your information for the following purposes:

  • To Provide and Improve Services: Deliver agentic AI solutions, process inputs, generate outputs, and enhance functionality.
  • To Communicate: Respond to inquiries, provide support, and send updates or promotional materials (with your consent).
  • To Train Our AI: Use anonymized or aggregated data to refine our algorithms, ensuring compliance with data minimization principles.
  • To Ensure Security: Protect against unauthorized access, fraud, or misuse of our Services.
  • To Comply with Laws: Meet obligations under the DPDP Act or other Indian regulations.

5. How We Share Your Information

We do not sell your personal data. We may share it under the following circumstances:

  • With Data Fiduciaries/Processors: Third-party vendors (e.g., cloud providers, analytics services) acting on our behalf, bound by data protection agreements as per the DPDP Act.
  • With Business Partners: To deliver AI solutions to your organization, with your consent or as part of a contract.
  • For Legal Compliance: To respond to lawful requests from government authorities or courts in India.
  • In Business Transfers: During a merger, acquisition, or asset sale, with safeguards to protect your data.

6. Data Security

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.

7. Your Rights Under the DPDP Act

As a “Data Principal” under the DPDP Act, you have the following rights regarding your personal data:

  • Right to Confirmation and Access: Confirm whether we process your data and request details or a copy of it.
  • Right to Correction: Update or correct inaccurate or incomplete data.
  • Right to Erasure: Request deletion of your data, subject to legal or contractual retention requirements.
  • Right to Data Portability: Receive your data in a structured format, where feasible.
  • Right to Withdraw Consent: Revoke consent for processing at any time, where consent is the basis for processing.
  • Right to Nominate: Designate a nominee to exercise your rights in case of incapacity or death.

To exercise these rights, contact our Data Protection Officer (details below). We will respond within the timelines prescribed by the DPDP Act.

8. Data Retention

We retain your personal data only for as long as necessary to fulfill the purposes outlined in this Privacy Policy, comply with legal obligations (e.g., tax or business laws), or resolve disputes. Business data provided for AI processing is retained as per our agreement with your organization or as specified by you, after which it is securely deleted or anonymized.

9. Cross-Border Data Transfers

Your data may be stored or processed outside India (e.g., on cloud servers in the United States) to deliver our Services. We ensure such transfers comply with the DPDP Act, including obtaining your consent where required or ensuring the recipient country provides adequate data protection as per Indian government guidelines.

10. Cookies and Tracking

We use cookies and similar technologies to improve your experience. You may manage these through your browser settings. Where required by law, we will seek your consent before deploying non-essential cookies.

11. Children’s Privacy

Our Services are not intended for individuals under 18 years of age, as defined under Indian law. We do not knowingly collect personal data from minors. If we become aware of such data, we will take steps to delete it promptly.

12. Changes to This Privacy Policy

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.

13. Data Protection Officer (DPO)

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.

14. Contact Us

For questions about this Privacy Policy or our data practices, reach out to:

ThinkNeural.ai
info@thinkneural.ai

Policies

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Policies

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Cookies Policy

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A contractor-ready BOQ: starting procurement the day design is approved

3 min read

A contractor-ready BOQ is a bill of quantities that lists every item in the design with a unit and a count, so a contractor can price it and procurement can order from it. SpaceZap produces one straight from the store design, so procurement can start the day the design is approved.

What holds up procurement in a typical store project?

Procurement cannot begin until someone knows what to buy and how much. In many projects that knowledge comes late.

The design is approved. Then a quantity surveyor or a site engineer goes through the drawings and counts. They measure wall lengths, flooring areas, partition runs, light fittings, fixtures and signage. It is careful work and it takes time. If the design changes after approval, the count has to be redone.

Meanwhile the clock is running. Orders for fixtures and materials with long lead times wait for the numbers. The contractor, who needs the same numbers to price the job, waits too.

Manual counting also brings the risk of mismatch. The drawing says one thing and the BOQ says another. The difference is found when material arrives short, or when extra material is left over on site.

How does SpaceZap build the BOQ?

SpaceZap counts from the model itself. Every item in the design is counted and measured as part of the same store you see on screen. The quantities are taken from the store on screen, not from a separate document that someone had to keep in sync.

The bill is organised by item, unit and quantity. It is simple to read, which is the point. A contractor, a purchase manager and a finance reviewer can all look at the same list and understand it.

Because the BOQ comes from the same model as the layout and the drawings, it stays consistent with them. If the layout is updated, the drawings and the BOQ are updated with it.

Count once, from the designWhen quantities come from the model, the BOQ matches the drawings by construction and is ready when approval is given.

What does a ready BOQ change for your team?

The benefit is mostly about time and clarity.

  • Procurement: can place orders for long-lead items right after approval.
  • Contractors: can price from the same list that purchasing uses, so quotes are easier to compare.
  • Finance: can see the scope of the store in one list before spending starts.
  • Project managers: spend less time reconciling drawings against counts.

Say a 40-store chain is rolling out a new format. If each store has its own hand-counted BOQ, each one is a small project of its own. If quantities come from the model, procurement can see how each store differs from the last, and plan bulk orders accordingly. That is where a rollout starts to feel manageable, which we describe in rolling out at scale.

A BOQ is only as good as the design behind it. That is why the earlier steps matter. A layout that follows your standards, as described in brand standards applied to every store, gives predictable quantities. A drawing set that is complete, as in GFC and MEP dockets explained, leaves less to chance.

It is also worth being clear about what a BOQ is not. It is not a price. It tells you what and how much. Your teams and contractors still negotiate rates and delivery terms. What changes is that they start from a list everyone trusts. You can see the full workflow in the SpaceZap section.

How to get started

  1. Approve the design. Finish the layout and 3D review, so quantities reflect the final store.
  2. Generate the BOQ. Produce the bill of every counted and measured item from the design.
  3. Check it with the drawings. Compare a few key lines, such as flooring area and partition length, with the GFC set.
  4. Share it with procurement and the contractor. Give both the same list and ask the contractor for rates.
  5. Order long-lead items first. Start with the fixtures and materials that take the longest to arrive.
See SpaceZap on your own storesA live thirty-minute demo on a real space from your own network. No commitment.
Request a demo