The world has a billion cameras. Almost none of them act.
Walk into any warehouse, fuel station, stadium, retail store, manufacturing floor, or distribution depot, and you will find cameras on every ceiling, every aisle, every entrance, recording continuously and costing real money to operate, while almost nothing they capture ever drives a decision inside the window where that decision would still have changed the outcome.
A spill spreads across a forecourt for forty minutes before the cashier finds out from a customer. A delivery truck idles in the wrong bay until someone walks past and notices. A piece of equipment keeps running overnight because nobody was watching the feed at the moment it should have been shut down. The footage always exists, and it is almost always reviewed long after the moment when acting on it would have mattered.
For twenty years, the industry's answer to this problem was to hire specialist vision teams, license dedicated platforms, train custom models for individual use cases, buy new hardware, and integrate everything with existing operational systems through long and expensive professional services engagements. Rollouts routinely ran into six figures per site and took months to complete, which is why a handful of flagship deployments worked as intended while the rest of the global camera estate continued operating in exactly the mode it had occupied since the cameras were first installed.
Manako was built to close that gap at a scale and a price point that the legacy approach was never going to reach.
What Manako is
Manako is a Vision Agent platform that turns any camera into a real-time source of action. You describe what matters to your operation in plain English, and Manako builds, deploys, and runs a Vision Agent that acts on what the camera sees, automatically, on the hardware you already own. There is no new infrastructure to buy, no specialist staff to hire, and no code to maintain once the Vision Agent is live.
A Vision Agent is not a model or a dashboard or a monitoring tool. It is a self-contained unit that identifies the specific situation it was built for and triggers a workflow the moment that situation occurs, plugging directly into the dispatch, maintenance, compliance, or operational systems the business is already running.
How it works
The experience is deliberately simple for the person using it, because the complexity has been absorbed into the platform underneath. An operations leader describes the situation that matters, using whatever language feels natural, whether that is a fuel spill on a forecourt, a delivery vehicle parked in the wrong bay, a customer waiting too long at a service counter, or an item being concealed in a backpack in a high-shrinkage aisle.
From that description, Manako builds the Vision Agent automatically, without labelling training data, writing code, or configuring infrastructure. The Vision Agent can be tested against the operator's own footage before a single camera is connected, which means the team knows exactly how the agent will perform in their real environment before it goes live anywhere near production.
Deployment then runs on the cameras and the computing hardware that are already on site, with footage remaining on the premises throughout. From the moment the Vision Agent is live, every event it was built to identify produces a structured record that flows directly into the systems the business is already using, surfacing on the devices the team is already carrying, and triggering action inside the window where that action still changes the outcome.
Built to act, not observe
Most vision tools stop at detection, producing an alert that joins a queue of notifications the team learned to ignore years ago, and leaving the responsibility for translating that alert into action on the shoulders of a human reviewer whose attention was already stretched thin across dozens of other feeds and systems. The practical result, repeated across thousands of operations every day, is that the alert gets generated, the moment passes, and the business never meaningfully acts on what the camera captured.
Manako is built around the opposite assumption, which is that the alert is the trigger for action rather than the end product of the system. When a Vision Agent identifies an event, the platform routes it to the system and the person best positioned to respond, records the evidence automatically, and closes the loop between observation and action without requiring a human reviewer to notice the notification in the first place. The full audit trail is constructed in the background, which means compliance, safety reporting, and incident investigation are all served by the same underlying workflow that drove the operational response in real time.
Built to run anywhere
The platform's efficiency is a direct consequence of how it is engineered at the infrastructure layer rather than a marketing claim added after the fact. Vision Agents are sub-50MB and run locally on the standard computing hardware that is already deployed across most enterprise sites, which removes the GPU requirement, the cloud dependency, and the ongoing infrastructure cost that dominated the economics of traditional vision platforms.
In practical terms, this makes Manako around 145× more efficient than foundation vision models like SAM3, and roughly 5× more efficient than existing commercial tools like Roboflow, at equivalent accuracy. What that efficiency translates into for the operator is a rollout timeline measured in weeks rather than months, a capital expenditure profile that requires no new infrastructure approval, and a cost structure that makes it economically viable to deploy Vision Agents across the full camera estate rather than only the handful of flagship sites that dedicated systems were ever able to reach.
Already in production
Manako is live across multiple industries, with partnerships spanning fuel stations, sports operations, car wash networks, and more, deployed in every case on the cameras and hardware that the operators already owned before the platform was introduced. The operational pattern is consistent across every vertical, with the cameras staying where they are, the existing infrastructure continuing to run as normal, and the Vision Agents producing structured events that integrate with the operational systems the business was already using.
Partnerships across these industries continue to expand as operations teams identify new situations worth acting on, with additional Vision Agents deployed into the same estates without engineering work, which means the platform's coverage grows continuously in response to each business's own priorities rather than being constrained by the next software release cycle.
Who Manako is for
Operations leaders running physical sites are the primary audience, because the gap between what cameras capture and what the business acts on is, in almost every case, the single largest source of avoidable operational cost sitting inside their estate. Retail shrinkage, forecourt incidents, warehouse safety events, manufacturing line disruptions, and stadium crowd management all share the same structural pattern, which is that the camera already saw the thing happen and the business did not act on it inside the window when acting would have made a difference.
Procurement and enterprise technology teams are the second audience, because Manako's deployment pattern answers the specific objections that have historically blocked vision projects from reaching production. The platform runs on hardware the business already owns, it does not require new capital expenditure, footage never leaves the premises, and it integrates with the dispatch, ticketing, maintenance, and compliance systems the enterprise has already standardised on.
The third audience is the broader ecosystem of developers, integrators, and smaller operators who were historically excluded from serious computer vision work by the cost and complexity of building everything from scratch. Through Manako, those teams can build solutions on top of the same platform that runs enterprise deployments, which turns what used to be a capital-intensive engineering project into something closer to configuring a software product.
The bigger picture
The underlying shift that Manako represents is not primarily a technology shift, although the underlying technology is what makes the shift economically possible at scale. The shift is that the installed base of cameras, which has existed in most enterprises for twenty years without ever functioning as a serious operational asset, finally becomes a system of action rather than a system of record.
The consequences of that shift compound across every vertical the platform is deployed into, because every incident the cameras now act on is an incident the business no longer absorbs as operational cost, reputational damage, regulatory exposure, or insurance liability. The platform does not replace the cameras, the hardware, the operational systems, or the people on site, because none of those assets were ever the problem. The missing layer has always been the one that turns what the cameras see into something the business does.
Tell Manako what you need. It does the rest.
Join the waitlist to be the first to build with Manako, or get in touch to discuss an enterprise deployment across your operation.