What is MokSa.AI?
MokSa.AI is an AI video intelligence platform that adds real-time threat detection and business analytics to the security cameras a company already owns. It watches live feeds for shoplifting and unusual behaviour, sends instant alerts, and also counts customers, maps store traffic, tracks staff activity and checks food safety routines. The official site lists retail, hospitality, education, fuel stations and food handling as its main sectors, and it offers demos rather than self-serve sign-up.
The company was founded in 2021 and is a seed-stage startup, according to Techstars and G2. Its co-founder Nikhil Teja Kolli told American Bazaar in May 2025 that the firm is headquartered in Troy, Michigan, with its technology team in Hyderabad, and that it had raised $1.6 million in pre-seed funding led by Array Ventures. Another report cites $1.5 million, and some directories list Wyoming as its base. The same interview reported 88 paying customers at the time. The website was live in October 2026 and states SOC 2 Type 2 certification and GDPR compliance.
Key Features
- Real-time theft detection: MokSa.AI watches camera feeds for shoplifting behaviour and sends alerts to staff phones as incidents happen. Owners can respond during the event instead of reviewing footage after the loss.
- Works with existing cameras: MokSa.AI connects to the cameras a business already owns, using the RTSP standard according to the B12 directory. Its founder has said the oldest camera onboarded dates back to 2011.
- People counting: MokSa.AI counts visitors and tracks busy hours, then projects foot traffic for planning. Store managers can match staff rotas to the times when customers actually arrive.
- Store heat maps: MokSa.AI builds heat maps of where customers move and linger inside a store. Retailers use these maps to rethink shelf layout and product placement based on observed behaviour.
- Employee efficiency tracking: MokSa.AI measures staff activity patterns to show how time is spent across a shift. The AWS Marketplace listing presents this as one of five separate AI models a business can switch on.
- Food safety monitoring: MokSa.AI checks adherence to food safety and hygiene protocols in kitchens and food handling areas. Earlier directory listings also mention PPE and distancing checks for labs and restaurants.
- POS integration and alerts: MokSa.AI lists point-of-sale integration alongside its automated alert system on the official site. Linking sales data with video helps owners connect till activity to what cameras recorded.
Pros
- No new hardware needed: MokSa.AI runs on existing security cameras, so businesses avoid buying a new camera system. That keeps setup costs lower for small shops and fuel stations with older equipment.
- Privacy-minded design: MokSa.AI analyses activity rather than identifying faces, according to the B12 directory and its AWS listing. This reduces the privacy concerns that come with facial recognition in shops.
- Independent security audit: MokSa.AI states that it holds SOC 2 Type 2 certification and complies with GDPR. Buyers get audited evidence of data controls, which is unusual for a startup of its size.
- Several uses from one system: MokSa.AI combines loss prevention, footfall analytics, staff tracking and food safety checks in one platform. A single subscription can replace separate counting sensors and monitoring tools.
- Pay only for active streams: MokSa.AI on AWS Marketplace bills per stream per hour while streams are active. Businesses can switch on only the AI models they need instead of paying for a full bundle.
Cons
- No public price list: MokSa.AI asks prospects to book a demo rather than publishing prices on its website. You need a sales call before you can compare costs with other video analytics vendors.
- Very few independent reviews: MokSa.AI had no verified reviews on G2 when we checked in October 2026. Most information comes from the company, press interviews and short directory summaries.
- Young, small company: MokSa.AI was founded in 2021 and is a seed-stage startup with a small team, according to Techstars and G2. Large chains may want assurances on support and roadmap before a wide rollout.
- Depends on camera quality: MokSa.AI relies on the coverage and image quality of cameras already installed. Blind spots or poor footage will limit what the AI can detect, whatever the software does.
- Conflicting public details: MokSa.AI appears with different headquarters across Michigan, Wyoming and India in various company listings. Funding figures also vary between reports, which makes background checks harder.
Who is Using MokSa.AI?
- Convenience and liquor stores: Catch shoplifting and get alerts on staff phones.
- Fuel stations: Monitor forecourts and shops from existing cameras.
- Restaurants and food handlers: Check hygiene and food safety routines.
- Retail chains: Compare footfall, heat maps and staff activity across sites.
Pricing
MokSa.AI does not publish prices on its website and asks buyers to book a demo, while its AWS Marketplace listing shows hourly usage rates (checked October 2026).
| Plan | Price | What you get |
|---|---|---|
| Official website | Contact for pricing | Book a demo for a quote |
| AWS Marketplace | $0.19/hour per stream for each AI model | Five separate models; billed hourly only while streams are active; listing mentions the first 15 streams free under its contract base |
| Small business (reported) | $350 to $550/month | Range quoted by the founder in a May 2025 American Bazaar interview |
The founder’s quoted monthly range and the AWS hourly rates measure cost differently, so expect a custom quote based on camera count and the models you enable. Ask for a written per-camera price during the demo, and check whether alerts, storage and support are included before you sign.
What Makes MokSa.AI Unique?
MokSa.AI is camera agnostic, so a corner shop with ten-year-old cameras can add theft alerts, footfall counts and food safety checks without replacing hardware. Each capability runs as a separate AI model billed per stream, and it reads behaviour rather than faces, which gives small retailers a lower-cost and less intrusive route into video analytics than full camera replacement projects.
Compatibilities and Integrations
- Cameras: Existing IP security cameras through the RTSP standard, including older models
- Point of sale: POS integration listed on the official site
- Cloud: Cloud-based analysis, sold as SaaS on AWS Marketplace
- Alerts: Instant notifications to mobile devices
MokSa.AI Tutorials
Getting started runs through the company’s sales team.
- Book a demo on the MokSa.AI website.
- List your cameras and confirm they can share an RTSP stream.
- Choose the AI models you need, such as theft detection or people counting.
- Connect the camera streams and set who receives alerts.
- Review heat maps, footfall and incident reports in the dashboard each week.
How We Rated It
| Criterion | Score | Why |
|---|---|---|
| Accuracy and Reliability | 3.6 | Few independent results published |
| Ease of Use | 3.9 | Uses cameras already installed |
| Functionality and Features | 4.0 | Five models plus alerts |
| Performance and Speed | 3.9 | Real-time alerts claimed |
| Customization and Flexibility | 3.6 | Pick models per stream |
| Data Privacy and Security | 4.2 | SOC 2 Type 2, no faces |
| Support and Resources | 3.0 | Small team, scarce documentation |
| Cost-Efficiency | 3.6 | No hardware, opaque pricing |
| Integration Capabilities | 3.5 | POS, RTSP cameras, AWS |
| Overall Score | 3.7 | Average of the nine criteria |
Summary
MokSa.AI suits small and mid-sized retailers, fuel stations and food businesses that already have cameras and want theft alerts and store analytics without new hardware. Its main limitation is the lack of public pricing and independent reviews, as most evidence comes from the company itself. The firm is also young, so support depth is unproven. Ask for a short pilot on a few cameras and measure alert accuracy before committing every site.
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