Applied AI & commercial robotics
XIO’s operating work connects practical AI implementation with physical systems and customer workflows. The venture program builds on that experience.
Inspect the builder record
+ XIO FRONTIER VENTURES ONTARIO, CANADA
Intelligence for
the physical world.
We’re building the path from intelligent software to useful machines. Starting with drone inspection. Expanding through simulation, reusable skills and a common control layer.
01 / FEATURED DEVELOPMENT PROGRAMAutonomous inspection & site intelligence
CONCEPT RENDER · PROPOSED HARDWARE
Built fromApplied AI + robotics
First development focusRepeatable inspection
Existing seed targetC$2.5M · indicative
Explore the thesis01 /THE INVESTMENT THESIS
A useful machine.
A bigger software opportunity.
The first drone is a way into a recurring job: inspect the same environment, understand what changed, and give a team something useful to act on.
Each deployment should improve the reusable layer beneath it: task definitions, simulation, controller adapters, activity records and operator review. That is the platform XIO is building toward.
See the route to commercializationStart with a real task
Inspection and documentation for environments with repeat work.
Make the workflow reusable
Build software that can move across sites and hardware.
Expand with evidence
Add new skills and controllers when the results justify them.
02 /THE CONNECTED PROGRAM
Three layers.
One direction.
Hardware gets us into the environment.
Simulation makes experiments repeatable.
The control layer connects the two.
THE PHYSICAL LAYERDevelopment program
Give every site a repeatable inspection loop.
Develop compact inspection drones, docking and the software that turns a flight into a useful operational record. Start with construction and indoor facilities.
- Who it serves
- Construction teams and facility operators
- Proposed business model
- Pilot integration → recurring site software
NEXT PROOF POINT
Explore drone developmentSelect a reference airframe and prove one supervised inspection route.
CONCEPT RENDER · DEVELOPMENT TARGET03 /WHY XIO
A builder’s starting point.
A visible path to proof.
Work you can inspect
Explore BrainSNN, CRUMB and XIO’s public development repositories. Software prototypes provide a starting point for the next set of experiments.
Explore the repositoriesThe first drone workflow
The next step is a reference system and a documented inspection result. Hardware performance, docking and customer economics must be demonstrated in pilots.
See the validation plan04 /THE LONGER VIEW · XIO BRIDGE
Explore the intelligence.
Keep the task constant.
A proposed interface for comparing controllers under the same task conditions. Select a research path to see what it would need to prove.
First baseline
Conventional AI
Vision models and conventional controllers establish the reference result before introducing experimental approaches.
INPUTImages · observations · task context
XIO BridgeAction limits · operator override · activity record
OUTPUTProposed action · confidence
WHAT THE EXPERIMENT MUST SHOW
Task completion, latency, failure cases and operator interventions.
Research pathways are development targets. Provider references describe the research landscape and do not imply partnerships or completed integrations.
Explore the research foundations
05 /MILESTONES THAT MATTER
Fund the next proof point.
Earn the next stage.
Illustrative 18–24 month program from funding and team mobilization. Progress depends on passing each evidence gate.
REFERENCE SYSTEM
Prove one useful loop.
One simulated inspection route, one reference drone configuration and a common record of observations, actions and results.
Reference airframe and sensor selection
Supervised inspection workflow with operator override
Conventional AI baseline and replayable test record
ADVANCE WHEN
Repeat the task under documented conditions and show an operator a useful inspection record.
Depends on: Hardware access, a suitable test site and a defined customer task.06 /THE INVESTOR VIEW
EXPLORING A SEED ROUNDBuild the system.
C$2.5M
Existing indicative financing target
18–24 months from funded kickoff
Build the system.
Prove the recurring value.
The proposed round supports one connected program: an inspection reference system, reusable control software, simulation and the evidence needed to test commercial demand.
ILLUSTRATIVE USE OF FUNDS
ILLUSTRATIVE ALLOCATIONCAD 750,000
The common interface, workflow software and reusable hardware connections.
Allocation carries forward the current public seed illustration. Final budget, terms and timing remain to be agreed.
PROGRAM RECORD · 7 SEPTEMBER 2026
Take the evidence into the next conversation.
A dated overview of what can be inspected today, what remains proposed and the next validation gate for each program.
A focused first market. A reusable platform thesis.
Validate demand through a paid inspection pilot. Measure deployment effort, operating cost, report usefulness and willingness to continue before scaling. Recurring revenue is a business-model hypothesis to test.
BUILD WITH XIO
The next frontier needs
a path into the real world.
We’re opening conversations with investors, robotics partners and research teams who want to help prove the first useful loop.
Start the investor conversation.
This development program describes targets and research hypotheses. Proposed hardware, integrations, partners and results remain subject to validation. Financing details are indicative and subject to final structure; this page is not an offer to sell securities.