Propilot Selected for ALL IN’s Top 100 AI Startups

Estimated reading time: 10 minutes

Key Takeaways

• ALL IN selected Propilot as one of Canada’s Top 100 AI Startups for 2026.
• The official announcement says more than 330 companies applied and names Propilot in the selected cohort.
• Selected startups will showcase in Montreal on September 16 and 17, 2026.
• Propilot is building AI property operations that prepare work for an operator’s review, not a black-box replacement for judgment.
• Book a meeting with Propilot at ALL IN if you want to compare notes on practical AI workflows for leasing, maintenance, or inspections.

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Table of Contents

1. A selection we are proud to share
2. What ALL IN announced
3. Why this recognition matters to Propilot
4. The property operations work behind Propilot
5. What we want to discuss in Montreal
6. Meet Propilot at ALL IN
7. Related Reading
8. Frequently Asked Questions

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A selection we are proud to share

Propilot has been selected as one of Canada’s Top 100 AI Startups for 2026 by ALL IN. It is a meaningful moment for a company focused on a very practical question: how can AI make property work easier to understand, review, and move forward without taking control away from the person accountable for the outcome?

We build for property managers and independent landlords who have real work in motion. Leasing inquiries arrive at inconvenient times. Showing requests need context. Maintenance reports need to become coordinated work orders. An inspection may begin with a tenant opening a link, but it still needs to end in evidence that an operator can use. The best AI in those moments does not perform a clever conversation for its own sake. It prepares the next decision.

The ALL IN Top 100 AI Startups selection gives us a chance to share that point of view with a wider Canadian AI community. It also gives us a clear reason to meet people working on the same hard problems: making software useful in complex, human-led operations.

What ALL IN announced

In its 2026 Top 100 announcement, ALL IN says more than 330 companies applied to the program. The announcement identifies Propilot among the selected Canadian startups and says the cohort will showcase in Montreal on September 16 and 17, 2026.

Those are the facts we are celebrating. This is a selection into a 2026 cohort, not a claim about an individual rank, a product certification, or a guarantee of results. The distinction matters. Recognition can open a conversation, but property operators still need to evaluate a workflow against their own team, properties, policies, and review responsibilities.

For us, the value of the moment is direct. It creates space to talk about what practical AI should look like when someone must approve a showing, evaluate an application, handle a maintenance exception, or review an inspection report. Those decisions need traceable context. They cannot be reduced to a generic assistant saying it has handled everything.

Why this recognition matters to Propilot

AI is often presented as a choice between two extremes. One story says that an assistant should replace the person doing the work. The other says AI is little more than a chat window that gives suggestions without knowing the actual workflow. Neither is enough for property operations.

Operators need work to become decision-ready. That means a leasing inquiry should carry the listing facts, timing, fit details, and next available action. A maintenance issue should preserve the resident report, vendor handoff, invoice, and closeout context in one work order. An inspection should keep its evidence and report together. A lease or screening step should surface the information a human needs to review, including the points where policy, privacy, or a tenancy rule requires care.

That operating model is why the ALL IN selection resonates with us. Propilot is not trying to create a more elaborate demo of AI conversation. We are building software around the handoffs that consume a property team’s time and attention. The benchmark is not whether an interface sounds impressive. The benchmark is whether the operator can see what happened, understand the next step, and make the final call with the right context attached.

For a broader view of this model, read our guide to AI landlord software in Canada. It covers the practical questions that should sit beside any product conversation: privacy, human review, audit trails, and the limits of automation in a tenancy workflow.

The property operations work behind Propilot

The work begins before an operator opens a dashboard. A prospect may send a leasing inquiry late in the evening. A tenant may report a maintenance issue with an incomplete description. A manager may need a remote inspection without sending a staff member across the city. These are not isolated messages. Each is the beginning of a workflow with context, handoffs, and a decision that someone has to own.

Propilot is designed to help turn those starting points into a visible next step. The platform supports leasing inquiry handling, fit and prequalification, screening and background-check workflows, showing coordination, jurisdiction-supported lease agreements, AI due diligence and terms analysis, and RemoAI remote inspections. The aim is not to remove human approval. It is to make the work that reaches a person more complete and easier to assess.

Consider a showing request. A useful workflow can capture timing, relevant fit details, and available windows before the operator reviews the handoff. It can keep approved listing information close to the conversation, rather than leaving a manager to reconstruct the situation from disconnected messages. But a team still decides what to offer, how to handle an exception, and what policy applies.

The same principle applies to screening and tenancy terms. An AI tool can organize inputs, identify missing information, and prepare a review packet. It should not silently make a final tenancy decision or substitute its own judgment for the person responsible for a rights-sensitive case. Our AI leasing agent compliance checklist explains why privacy, human-rights considerations, tenancy terms, and exceptions each need a visible review step.

Remote inspection work follows the same logic. RemoAI can guide a tenant through a video inspection by SMS or email link, capture video-frame snapshots for analysis, and prepare a report that can use the operator’s standard template. The result should be a prepared report that a property team can review, not an inaccessible stream of media that must be sorted later.

What we want to discuss in Montreal

ALL IN is a useful setting for a more grounded AI conversation. We want to meet property operators, proptech teams, and builders who are asking hard implementation questions rather than only looking for a broad promise. What workflow is genuinely ready to automate? What should always be escalated to a human? Which source of truth will the team trust? What happens when property information changes? How can an operator understand the basis for a recommendation or a drafted response?

Those questions shape whether an AI initiative earns trust after the first demonstration. A workflow that handles an easy case but hides its uncertainty is not ready for a team to depend on. A workflow that shows the input, applies an approved process, and prepares a clear handoff can become genuinely useful even when it passes complex cases to a person.

We also want to compare notes on measurement. The point of a new workflow is not to manufacture a generic time-saved claim. It is to make a property team’s own work easier to measure. For leasing, that can mean tracking response time, showing coordination, review hours, and the number of exceptions that need a human. Our leasing automation ROI guide lays out a way to keep those inputs separate and testable.

If you manage properties, build software for the industry, or work with teams that do, bring a real operating problem. A recent leasing handoff, an inspection bottleneck, a screening review, or a maintenance process is more useful than a vague AI wish list. We would rather talk through the exact point where work gets stuck and determine whether a workflow can make it clearer.

Meet Propilot at ALL IN

The ALL IN 2026 showcase is scheduled for Montreal on September 16 and 17. If you will be there, book a meeting with Propilot and tell us which part of property operations you want to discuss.

We can start with a narrow, concrete question:

1. What message, request, document, or inspection starts the work?
2. Which facts need to stay with that work as it moves?
3. Which actions can follow an approved workflow?
4. Where must a person review an exception or make the final decision?
5. What would make the resulting handoff useful enough to act on?

That structure is intentionally simple. It keeps the conversation focused on the work, the decision, and the operator who must stand behind it. If there is a fit, we can show how Propilot approaches the workflow. If there is not, the discussion can still clarify what a useful AI operating model should require.

Before the event, you can also read our real estate copilot guide for landlords. It explains how a copilot should organize leasing, screening, and tenant communication while keeping the human checks that matter.

A practical next step

We are grateful to be included in ALL IN’s 2026 Top 100 AI Startups cohort. The recognition is encouraging because it points toward a Canadian AI ecosystem that is not only interested in technical capability, but also in the work of making capability dependable in the field.

For Propilot, that work remains concrete. We will keep building around property operations that need a prepared, visible next decision. We will keep treating human approval as a design requirement, not an afterthought. And we will keep listening to the people who must use the workflow when the initial excitement has passed and the day’s work still needs to move.

If you will be in Montreal, let’s meet at ALL IN.

Related Reading

• AI Landlord Software Canada: 2026 Guide for the privacy, review, and audit-trail questions that should shape an AI property workflow.
• AI Leasing Agent Compliance: BC Review Checklist for human-review controls around screening, tenancy terms, and exceptions.
• Leasing Automation ROI for Small Landlords for a testable way to measure response, coordination, and review work.
• Real Estate Copilot for Landlords: 2026 Guide for the operating model behind a useful property-management copilot.

Frequently Asked Questions

What was Propilot selected for at ALL IN 2026?

ALL IN selected Propilot as one of Canada’s Top 100 AI Startups for 2026. The official announcement lists Propilot in the selected cohort.

When and where is ALL IN 2026?

ALL IN’s announcement says the selected startups will showcase in Montreal on September 16 and 17, 2026. Check the official event channels for the latest timing and venue details.

Can I meet the Propilot team at ALL IN 2026?

Yes. Request a meeting with Propilot during the event, and include the property workflow or operating question you want to cover.

Does the Top 100 selection mean Propilot has a rank within the cohort?

No individual rank is claimed here. Propilot is announcing that it was selected as one of the Top 100 startups in ALL IN’s 2026 cohort.

What does Propilot build?

Propilot helps property managers and independent landlords prepare leasing, maintenance, inspection, and review work so a person can make the next decision with the relevant context in view.