Slinai

Slinai turns existing CCTV feeds into operational analytics, combining cloud and on-site processing with automated alerts. It suits retail and other multi-site operators that need video tied to staffing, compliance, transactions, or incidents. The per-camera model is practical for focused deployments, but costs rise with every monitored camera.

Overview

Slinai connects to compatible IP cameras and NVRs through RTSP or ONVIF, so organizations can add analytics without replacing their camera estate. Its hybrid deployment supports cloud analysis or an on-site gateway that keeps processing local while optionally synchronizing selected events, clips, or KPIs. That flexibility is useful where bandwidth, data control, or site policy matters.

The product is aimed at operational use rather than basic recording management. Retail, QSRs, dark stores, cloud kitchens, manufacturing, logistics, and education are named target sectors, and industry templates can help frame common monitoring tasks. Slinai Technologies Pvt. Ltd. is based in Bengaluru, India.

Key features

Analytics cover footfall, queues, dwell, PPE and SOP compliance, plus loss and incident detection. This breadth can support both customer-flow analysis and frontline compliance, although teams should define the signals that matter before putting cameras on a paid plan.

A natural-language assistant accepts questions in English or Hindi. Users can also assign agents to watch feeds continuously. Real-time, verified alerts include supporting clips and can be delivered through WhatsApp, Slack, Teams, or email, giving responders context instead of an unsubstantiated notification.

POS events including voids, refunds, discounts, and no-sales can be paired with synchronized camera playback. That is particularly relevant to operators investigating suspicious transactions or process exceptions. The edge gateway can keep video processing on site, while encryption in transit and at rest, role-based access, and audit logs address core controls. Slinai describes behavioural analytics without biometric identity capture, with facial recognition off by default, and says its design aligns with India's DPDP principles; Enterprise engagements support data-principal rights.

Slinai offers a tailored 30-minute live demo and says most pilots go live within one to two weeks, a useful path for teams that need a defined rollout rather than a self-directed setup.

Pricing

The Free plan costs free for one camera for one month, with all Core analytics, 24–72-hour clip history, and no card required. After the month, customers can upgrade or pause without an automatic charge. It is a sensible proof-of-fit for a single location, but the one-camera and short-history limits make it unsuitable for ongoing multi-site monitoring.

Core costs ₹1,499 a month, billed per camera monthly. It adds seven-day clip and event history and alerts through WhatsApp, Slack, and Teams while retaining all Core analytics. This is the entry choice for teams that need regular operational visibility and can work within per-camera billing.

Ops+ is ₹2,999 a month per camera, billed monthly. It includes Core, behaviour and posture alerts, 30-day history, and priority routing. The extra cost is justified when investigations need longer context or when posture and behaviour signals are central to operations.

Business costs ₹5,999 a month per camera, billed monthly. It adds extended retention, multi-site roles and audit logs, API/webhooks, and SSO where applicable. This is the plan for larger organizations with distributed governance and integration requirements; it is excessive for a single small site.

On-prem / Edge uses custom pricing based on camera count, gateway sizing, and support. It is the route for local processing requirements, but budget planning requires a quote.

Platforms

Slinai is offered through web, API, and self-hosted deployment models. The hybrid approach lets a business combine local gateway processing with selective cloud synchronization rather than committing every stream to one location.

Who it's for

Slinai is a good fit for retailers, QSR groups, dark stores, cloud kitchens, factories, logistics operations, and educational organizations that already operate IP cameras and want measurable operational signals. It is strongest when alerts, POS correlation, and compliance workflows have clear owners. A small user who only needs recording or occasional viewing will likely find per-camera analytics spending difficult to justify.

Pros and cons

• Pros: Works with existing RTSP/ONVIF cameras and NVRs, avoiding a replacement project.
• Pros: Combines operational analytics, clip-backed alerts, and POS-event correlation in one workflow.
• Pros: Local gateway processing, encryption, access controls, and audit logs support controlled deployments.
• Cons: Monthly billing is per camera, so costs scale directly with estate size.
• Cons: The free offer covers only one camera for one month, with limited history.
• Cons: Edge deployment requires a custom quote, making upfront comparison less straightforward.

Alternatives

AI Video Analytics Software is the broader category to explore when you want to compare more products. Choose Roboflow instead for model training and inference, including a free tier with monthly credits and API, mobile, web, and self-hosted access. Frigate is the better fit for an open-source NVR running as a Docker container on your own host.

Amazon Rekognition Content Moderation suits API-based video moderation with a 12-month free tier, while Camio offers usage-based service levels matched to requirements. Google Cloud Video Intelligence is an alternative for stored-video annotation with a monthly free-minute allowance. Scylla Command Center targets enterprise video-wall and multi-site management. Spot AI provides a limited dashboard free tier and separately quoted paid services. Triya AI is another paid option with Android, iOS, self-hosted, and web support.

Verdict

Choose Slinai if you already have compatible cameras and need video translated into alerts, compliance signals, and transaction investigations, especially across multiple operational sites. Its main strengths are broad analytics, POS linkage, and the choice of cloud or local processing. Look elsewhere if you only need an NVR, require predictable fleet-wide pricing, or cannot justify recurring per-camera charges.