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mokSa AI
Techstars '23Sterling Heights, US · Founded 2022 · Delaware corporation · 44 employees on LinkedIn · 2 known investors
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MokSa develops a video management and analytics platform that converts surveillance footage into real-time operational intelligence for enterprises. The platform uses AI to detect threats, optimize operations, and enhance security across industries through camera-agnostic technology.
Also known as MokSa ai · MokSa.ai · MokSa.AI
Founders & leadership
mokSa AI was founded in 2022 by Kranthi Mottu and Nikhil Teja Kolli.
Investors · 2
How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · open dataset · 5k.vc investor directory · Not right? Tell us
Reported raises · per SEC filings
Form D private placements$3M disclosed across 2 rounds · 2024–2026
▶$1.8MraisedFeb 2026 · 3 investors · Other TechnologyRule 506(b)
- Kranthi MottuExecutive Officer, Director
- Nikhil Teja KolliExecutive Officer, Director
- Amount sold
- $1.8M
- First sale
- Jan 2026
- Incorporated
- Corporation, Delaware, 2022
- Federal exemptions
- 06b
▶$1.1MraisedMar 2024 · 3 investors · Other TechnologyRule 506(b)
- KRANTHI MOTTUExecutive Officer, Director
- Amount sold
- $1.1M
- First sale
- Feb 2024
- Incorporated
- Corporation, Delaware, 2022
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Sep 2026mokSa AI (moksa.ai) develops an AI-powered surveillance and video-analytics platform that turns feeds from existing camera systems into real-time threat detection, automated alerts and operational decision support. The platform is positioned around security, safety and compliance monitoring across multiple physical locations, combining live video monitoring with analytics that summarize what is happening on site.
Stated capabilities include AI-driven people and customer counting, real-time video analysis, behavior analysis, aisle heat mapping, incident prevention and surveillance audit functions aimed at detecting shoplifting and employee fraud. The company describes hands-off hardware integration that works with pre-existing cameras, a cloud-based delivery model that avoids major infrastructure investment, and a privacy posture that avoids facial recognition in order to align with data-protection standards. The company also states that its security and compliance practices are independently audited and certified.
Industry verticals named by the company include retail spaces such as convenience stores, general stores and supermarkets; hospitality and lodging including hotels, guest houses and resorts; educational institutions; fuel and service stations; and food-handling or kitchen areas requiring food safety monitoring.
Business model
Software platform sold to businesses that operate camera-monitored physical sites, delivered as a cloud-based service that layers analytics onto customers' existing camera hardware rather than requiring new infrastructure.
Traction
Reported headcount of 11-50 employees and seed stage as listed on the Techstars and Everywhere Ventures job boards; the company was profiled in the ECR Retail Loss 2024 innovation listing.
Latest developments
The company maintains a live product website marketing real-time video analytics across retail, hospitality, education, fuel station and food-safety segments, and has recruited for MLOps cloud engineering and Scrum Master roles supporting its product organization.
▸Full profile — market position, technology, go-to-market, geography
Market position
Operates in AI video analytics for retail loss prevention, safety and security; listed among innovators profiled by ECR Retail Loss for risk, safety and security in 2024 and categorized under artificial intelligence, retail technology, security and video.
Camera-agnostic integration with pre-existing hardware, cloud delivery that avoids significant infrastructure spend, and a deliberate avoidance of facial recognition for privacy and data-protection alignment; the company also cites independent audit and certification of its security and compliance practices.
Technology
Computer-vision and machine-learning models applied to live video streams for threat detection, people/customer counting, behavior analysis and aisle heat mapping. The system integrates with pre-existing camera systems and is delivered from the cloud. The company states it avoids facial recognition in order to align with global data-protection standards. Engineering roles posted by the company reference cloud platforms (AWS, GCP), containerization and orchestration (Docker, Kubernetes), CI/CD for model training and deployment, infrastructure-as-code (Terraform, Ansible) and ML frameworks such as TensorFlow, PyTorch and Scikit-learn.
Go-to-market
Direct sales supported by a demo request flow on the company website, plus visibility through retail-industry innovation programs such as the ECR Retail Loss innovation listing and through accelerator networks.
Businesses operating physical premises monitored by cameras, including convenience stores, general stores and supermarkets, hotels, guest houses and resorts, schools and universities, gas stations, and any location with kitchens or food-handling areas.
Geography
United States-based, with locations listed in Detroit and Sterling Heights, Michigan, and additional listed locations in Wyoming and Iowa; job postings indicate an engineering presence in Hyderabad, Telangana, India.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 1
launches, deals, and filingsMokSa.ai was profiled in the ECR Retail Loss ECR Top30 Risk, Safety and Security 2024 innovation challenge listing for its AI-driven surveillance and security solutions for retail operations.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structure▸Research sources · 8
primary sources listed
- mokSa AImoksa.ai · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does mokSa AI do?
- AI-powered video surveillance and analytics platform providing real-time threat detection, alerts and operational insight.
- Who founded mokSa AI?
- mokSa AI was founded by Kranthi Mottu, Nikhil Teja Kolli in 2022.
- Who are mokSa AI's investors?
- mokSa AI's investors include Techstars, Array Ventures Management Llc.
- How much funding has mokSa AI raised?
- mokSa AI has disclosed $3M raised across 2 rounds.
- Where is mokSa AI headquartered?
- mokSa AI is headquartered in Sterling Heights, US.