Compare · Discreetly AI
Digby vs Discreetly AI
Discreetly AI sells a deployment project. Digby is a Canadian-hosted assistant you can use in a minute — with a self-hosted path for when you do want it inside your walls.
01
At a glance
02
What Discreetly AI actually is
Discreetly AI deploys a private retrieval assistant directly into your own infrastructure — on-premises or private cloud, with air-gap capability — aimed at manufacturing, healthcare, legal and financial organisations. Their central promise is that documents, queries and answers never leave your environment and never reach a third-party model API.
The site is genuinely bilingual English and French, and the framing is built around the standards their buyers already answer to: ISO 9001, ISO 45001 and IATF 16949 in manufacturing, PIPEDA and Law 25 for Canadian data, PHIPA named on their healthcare page, and HIPAA-aligned handling for health. As of November 2026 their homepage also names CCPA for US buyers, which was not on the pages we recorded in October. The wording is deliberate and worth reading closely: they say deployments are “built to align with” those frameworks depending on where data has to stay, rather than claiming certification — which is the same distinction we draw for ourselves. Every answer cites the source document and page number, they index scanned PDFs and training videos (with self-hosted transcription), and pricing is a fixed monthly infrastructure cost rather than per-token billing — quoted rather than published, through a consultative sale.
For a buyer whose requirement is that nothing leaves the building, that posture is genuinely stronger than a hosted product. That is worth saying plainly.
Sources Discreetly AI — deployment, sourcing and pricing modelDiscreetly AI — industries and standards framing
03
Where Digby differs
- 01
Usable today
open digby.ai and ask, with no deployment project, no procurement cycle and no account.
- 02
Canadian-hosted by default for everyone
storage in Montréal, inference on Canadian-located GPU hardware, including for guests.
- 03
A self-host path you can take later
the full stack on your servers with any OpenAI-compatible endpoint, so “on-prem” is a step you can reach rather than a project you must start with.
- 04
Verified answers
sources on grounded answers, an independent second model checking high-stakes replies, and a deep research council for the hardest questions.
- 05
A coding agent in the same product
Digby Code works in a real workspace and opens pull requests.
04
On-prem is not automatically more private
A server in your building that you have not patched, logged or access-controlled is not a privacy win. Discreetly AI is right that on-premises removes a class of vendor risk; it also moves the operating burden onto you. Digby’s position is that most organisations should start hosted — where the security work is done for them — and self-host when a specific obligation demands it, with the same product on both sides of that line.
05
When Discreetly AI suits you better
Choose them if your security review requires an air-gapped or fully on-premises deployment from day one, if you need a vendor to run the deployment with you, if you want a supplier whose compliance framing names your industry standards explicitly, or if audit logs are a hard procurement requirement.
Choose Digby if you want to evaluate the tool this afternoon rather than after a deployment, if Canadian hosting is acceptable and a self-host option is enough for the future, or if you want research, coding and chat in one assistant.
06
Either way, ask these
- 01
What exactly runs in our environment, and what still calls out?
- 02
Where is the data stored, and where is inference performed?
- 03
Do you hold the certifications you name, or are they your customers’ certifications?
- 04
What does the deployment cost in staff time, not just licence fees?
- 05
What happens to our data if we leave, and how do we get it out?
Frequently asked questions
Is Discreetly AI Canadian?
Their pages present a bilingual Canadian business selling on-premises and private-cloud AI, with PIPEDA and PHIPA framing for Canadian buyers. Digby is also built in Canada.
Is on-premises more private than hosted?
It removes a class of vendor risk and adds an operating burden. For most organisations, hosted with Canadian storage and Canadian inference is enough; self-hosting is the right choice when a specific obligation demands it.
Can Digby run fully on-premises?
Yes. Self-hosted Digby runs the full stack — database, interface, integrations and coding workspace — on your servers with your own model endpoints.
Does Digby have audit logs?
Digby keeps grounded answers tied to the passages they came from and gives you deletion and sharing controls. It does not market itself as a compliance audit-log platform, and we do not claim a logging certification.
Can I try Digby before talking to anyone?
Yes — open digby.ai and ask a question. No account, no sales call.
Try asking Digby
Keep reading
Try Digby now.
No account needed. Models and data stay in Canada.