Glossary

Learn the language of the signal.

Search technical, financial, and governance terms used across Boreal Signal coverage.

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All terms15Compute2AI systems3Hardware4Finance4Governance2
Glossary results
Finance2 Aliases

Burn rate

How quickly a company is spending cash relative to its inflows.

Definition
Burn rate measures how much cash a company uses over a given period, usually a month. It helps readers understand how long the company can operate before needing new funding or positive cash flow.
Why it matters
A fast burn rate can change the meaning of a growth story if the runway is short or the capital plan is fragile.
Aliases
cash burnrunway
Related signals
FundraisingRunwayCapital efficiency
Governance2 Aliases

Sovereign AI

AI infrastructure that keeps strategic control, data, and deployment choices close to home.

Definition
Sovereign AI describes systems built or operated so that an organization or country retains control over compute, data, model hosting, and operational policy.
Why it matters
It is one of the clearest signals for procurement, policy, and infrastructure spending in Canadian tech.
Aliases
sovereign infrastructuredomestic AI control
Related signals
AI infrastructureProcurementData residency
Hardware2 Aliases

ASIC

A chip designed for one narrow task instead of general-purpose computing.

Definition
ASIC stands for application-specific integrated circuit. It is built to do one job extremely well, which usually means better performance, lower power use, and tighter cost control than a general-purpose chip.
Why it matters
ASICs matter when a company needs predictable throughput and economics at scale, especially in AI infrastructure, telecom, and industrial systems.
Aliases
application-specific integrated circuitcustom chip
Related signals
AI infrastructureSemiconductor strategyCompute efficiency
AI systems1 Aliases

LLM

A large language model built to understand and generate text.

Definition
LLM stands for large language model. It is a model trained on large text datasets so it can summarize, draft, translate, answer, and transform language in useful ways.
Why it matters
LLM coverage usually signals that product, data, and governance choices are about to matter more than the demo itself.
Aliases
large language model
Related signals
AI productsInferenceGovernance
Hardware1 Aliases

QPU

The quantum equivalent of a processing unit used to run quantum workloads.

Definition
QPU stands for quantum processing unit. It is the hardware layer that runs quantum algorithms and experiments rather than classical software workloads.
Why it matters
QPU coverage usually signals that a company is moving from research language into hardware delivery, platform strategy, or commercial pilots.
Aliases
quantum processing unit
Related signals
Quantum computingHardware roadmapFault tolerance
Finance1 Aliases

ARR

Annual recurring revenue from subscription-style contracts.

Definition
ARR stands for annual recurring revenue. It is a common metric for software and services businesses that sell repeatable contracts and want to show the expected revenue run-rate over a year.
Why it matters
ARR is a shorthand for scale and retention, but it only matters if the underlying revenue is durable and collectible.
Aliases
annual recurring revenue
Related signals
SaaSEnterprise revenueGrowth quality
Governance2 Aliases

Data residency

Where data is stored and which legal rules apply to it.

Definition
Data residency refers to the physical and legal location of data storage and processing. It becomes important when customers, regulators, or governments want tighter control over where information can live.
Why it matters
For founders and operators, data residency can influence vendor choice, contract structure, and whether a product can win public-sector deals.
Aliases
data locationdata sovereignty
Related signals
Sovereign AIProcurementCompliance
AI systems2 Aliases

Inference

The stage where a trained model is used to produce answers, predictions, or actions.

Definition
Inference is what happens after a model is trained. It is the process of using the model in production to classify, generate, rank, or recommend outputs.
Why it matters
Inference economics often decide whether an AI product is scalable, profitable, or stuck in pilot mode.
Aliases
model servingproduction AI
Related signals
Model deploymentAI pricingLatency