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October 30, 2026
•Jesse LandryJesse Landry

Solink Raises $100M+ to Expand AI Vision Intelligence

The camera above a service window has already earned a place in the building. Solink wants to give that installed equipment another commercial job: help the business understand how its working day is unfolding, while employees still have time to change it.

The Ottawa company announced more than $100M in funding on October 29, 2026, led by Vertu Capital. Returning investor Growth Equity at Goldman Sachs Alternatives participated alongside new investors Golub Growth and Comcast Ventures. The capital will support Solink's AI development, platform expansion and strategic opportunities as it widens the audience for video intelligence beyond security teams.

That expansion puts Solink in a practical corner of enterprise AI. Its software works with cameras already deployed in physical businesses, connecting footage with operating information. The opportunity is to make those observations useful to people responsible for service, safety and the ordinary decisions that determine how a location performs.

What Solink's New Financing Supports

The announcement describes more than $100M in new funding without giving the round a numbered series label or disclosing a valuation. It also leaves the dollar denomination unspecified. The amount should therefore remain an attributed lower bound, rather than being converted into a precise figure or an invented Series D.

Vertu Capital already lists Solink in its enterprise software portfolio. Its participation places an investor focused on software growth alongside a returning institution with experience of Solink's earlier expansion. For management, that combination supports a broader product mandate while keeping an existing capital partner involved.

The historical comparison is concrete. In July 2023, Solink closed a separate $60M USD Series C led by Goldman Sachs Asset Management's Growth Equity business, with OMERS Ventures and BDC IT Ventures participating. At that time, Solink reported more than 18,000 customer locations in 15 countries. The latest release reports more than 35,000 locations, 500,000 cameras under management and a presence in 65 countries.

Those figures describe Solink's reported deployment footprint. They do not supply revenue, retention or a common measure of customer returns. For a business selling additional applications through installed infrastructure, however, the footprint gives product development a substantial existing environment in which to find its next buyer.

A Restaurant Lane Makes the Product Argument

Solink's Drive-Thru AI launch in May shows how its operating ambition becomes a specific application. The company describes camera-based detection zones covering the journey through a restaurant lane, including the queue, menu board, service windows and pull-forward area. A kitchen display combines live lane video with operating data.

The commercial implication reaches into the relationship between front-of-house demand and the employees preparing orders. A vehicle can leave a queue before a purchase appears in the point-of-sale system. Observing the lane gives an operator another way to investigate that missing demand, although a camera observation still needs to be interpreted in the context of staffing, menu complexity and service conditions.

This is a useful expansion path for a company already connected to physical premises. Each additional application has to explain itself in the language of the employee using it. Security staff may ask for evidence of an incident; a kitchen team needs a view that helps during service, with an interface and timing that fit the work already happening.

Keeping the application close to an identifiable decision also gives the buyer a more concrete evaluation. The relevant questions include whether employees can use the information during a rush, whether the camera view covers the area that matters and whether the resulting action improves the operation. Solink's launch describes the capability; a customer's deployment supplies the local evidence.

AI Agents Bring the Observation Into the Shift

Solink made its AI Agents generally available in June. Its announced applications include overnight security, loss prevention and store readiness, with custom agents intended to address an organization's own workflows. These releases preceded the new financing, giving the development roadmap an existing product base.

The important operating distinction concerns attention. Recording more footage adds material to an archive; identifying an event for someone to handle adds a decision to a working day. The usefulness of that decision depends on its relevance, its timing and the employee's ability to understand the evidence behind it.

Solink's product FAQ describes a platform that joins video with operational systems such as point-of-sale software. That context matters because the same visible activity can have different meanings in different businesses. A retailer reviewing a transaction and a restaurant monitoring service may use overlapping infrastructure while asking quite different questions of it.

The broader category sits alongside other efforts to make physical operations readable by software. DevCuration's coverage of Torch Systems' outdoor asset intelligence financing follows a different deployment model, built around a field device. Solink's approach starts with cameras inside existing businesses, making installed infrastructure and operational context central to its commercial expansion.

The Leadership Work Behind a Wider Mandate

Co-founder and CEO Mike Matta leads Solink, with Martin Soukup serving as CTO on the company's current leadership page. An October executive update named Chris Sisto CPO and Jamie Greenberg Chief Corporate & Legal Officer, while Kiel Hume joined as Head of Communications & Government Relations. Sisto and Greenberg report to Matta, and Hume reports to Greenberg.

Those responsibilities become more relevant as the product reaches additional parts of a customer's business. Product leadership has to decide which operating problems deserve a supported application. Corporate and legal leadership sits closer to the obligations that accompany software observing activity across locations and customer workflows.

For buyers, the resulting relationship will be experienced through particular people and particular shifts. A store manager using a readiness alert needs enough context to decide whether to interrupt an employee. A restaurant team using lane information needs it early enough to change service. Solink's new capital follows those decisions into the premises where its cameras already have a view, and where the employees receiving the next alert are still trying to finish the work in front of them.

Frequently Asked Questions

How does Solink use cameras that a business already owns?

Solink connects camera footage with operating information such as point-of-sale data. Its announced applications include security review, store readiness and drive-thru monitoring, allowing different teams to use an existing view of the premises.

What does Drive-Thru AI add to a restaurant operator's view?

Solink describes camera-based detection zones across the lane and a kitchen display pairing live video with operating data. This can help teams investigate queues and vehicles leaving before a transaction, with usefulness depending on local coverage and operating conditions.

How does the new financing relate to Solink's earlier Series C?

The October 29, 2026 announcement is a separate investment of more than $100M led by Vertu Capital. Goldman Sachs returns after leading the $60M USD Series C announced in July 2023; the current official release does not name a new series or specify the dollar denomination.

Which operating tasks are covered by Solink's AI Agents?

Solink announced general availability in June 2026 with applications for overnight security, loss prevention and store readiness, plus custom agents. These are company-described capabilities; the funding announcement does not provide independently audited accuracy or customer-return benchmarks.

What should a multi-location operator evaluate before expanding a deployment?

An operator should examine whether camera coverage, operating-system context and alert timing fit the decisions employees need to make. The useful evidence comes from the customer's own workflow, including whether staff can interpret and act on an observation during service.

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Solink

AI vision intelligence linking cameras to security and operational decisions across physical sites.

  • Ottawa
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Key Executives

  • Mike Matta
  • CEO; Martin Soukup
+3 more (coming soon)

Investors

Vertu Capital
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