Context about anything
A memory can hold what your company is, what a product does, what is true about a market, or the contents of a document. It is not a fixed schema you have to fit your business into.
Context & Knowledge
Vitra Memory — One Context Store for Every Workflow
VitraTM remembers your wording. Vitra Memory remembers your facts. It holds what is true about your company, your products, your markets and your source documents, and every content workflow — creation, translation, personalization, across video, image, audio, text, documents, web and app — reads from it. So does chat. One store, so context does not have to be re-explained per tool, per format or per market.
Free to start · 75+ languages · No credit card required
1 store
for chat and every workflow
No limit
on memories, organized by category
Per-org
isolation, down to the client
How the context works
Say it once. Everything that generates reads it.
VitraTM remembers your wording. Vitra Memory remembers your facts — and chat, workflows and every format resolve against the same store.
- Company — who we arepositioningbrand
- Product — what it doesspec, claimsproduct
- Market — Indiawhat we may claimregion
- Market — Germanywhat we may notregion
- Client — Meridianagency tenancyclient
Step 1 of 5
A memory per thing you actually have.
One per product, per brand, per market, per client. Created by name, with no limit — because a single blended store is slightly wrong for every use.
No limit
memories, created by name
Capabilities
What Vitra Memory does
One store, every modality
The same memory informs video, images, audio, text, documents, websites and apps. A positioning decision made once does not have to be re-explained to the tool that happens to be producing the next asset.
The same memory in chat and in workflows
What you ask in chat and what a batch workflow generates at three in the morning resolve against the same context. Answers and outputs cannot drift apart, because there is nothing for them to drift between.
As many memories as you need
Create memories by name, without a limit. A memory per product, per brand, per market, per client — whatever matches how the business is actually organized.
Categories that keep it navigable
Cluster memories under categories so a large estate stays organized rather than becoming a flat list nobody can find anything in. Organization is the difference between a knowledge base and a folder.
Grounded in what you maintain
Generation draws on material you curated rather than on whatever the model inferred, which is what makes an output traceable to something a person wrote and someone else checked.
Regional context, not just translated context
A market memory carries what differs locally — claims you can make, terms you cannot use, the competitor set — so localized content is adapted rather than merely translated.
Organization-scoped access
Memories are scoped per organization with role- and entitlement-based control, so an agency keeps a separate context store per client and nothing leaks between them.
What comes out
One context store, read by everything
Why it matters
Consistent is not the same as correct.
The case for a context store
Why ground generation at all
A model that does not know what is true about your company will confidently produce something that is not.
Re-explaining context is the hidden cost of AI
Every tool, every prompt, every new team member starts by restating who you are and what the product does. That work is repeated forever unless it is stored somewhere.
What is true differs by market
Claims you can make, terms you cannot use and the competitor set all change across borders. That is context, not translation, and generation needs to read it.
Ungrounded output has to be fully checked
If nothing constrains the model, every sentence is a claim to verify. Grounding narrows review to the things that genuinely need judgement.
Answers and assets must agree
When the chat assistant and the overnight batch draw on different context, a customer eventually receives two different versions of the truth.
Consistency you can automate. Correctness has to come from somewhere, and it has to be somewhere the generation step can read.
Why Vitra.ai
Why Vitra Memory is different
VitraTM remembers your wording. Vitra Memory remembers your facts — and every workflow reads it.
One store, every modality
The same memory informs video, images, audio, text, documents, websites and apps. A positioning decision made once does not have to be re-explained to whichever tool produces the next asset.
Chat and workflows share it
What a person is told in chat and what a scheduled batch generates at three in the morning resolve against the same context, so they cannot drift apart.
As many memories as the business has shapes
One per product, brand, market or client, with no limit — organized under categories so an estate of three hundred stays navigable instead of becoming a flat list.
Curated, not scraped
What goes in is what you decided should be relied on, which is what makes an output traceable to something a person wrote and someone else checked.
Scoped per organization
An agency holds a separate context store per client with no leakage between them, under role- and entitlement-based access.
1 store
for chat and every workflow
No limit
on memories, organized by category
Per-org
isolation, down to the client
How it works
Four steps, one orchestrated run
Every stage runs on the same platform, so nothing is exported, re-uploaded, or handed between tools.
- 01
Create a memory, name it
Start one per product, brand, market or client. The name is how workflows and chat will refer to it later, so it is worth choosing deliberately.
- 02
Fill it with what is true
Company and product context, market facts, positioning, constraints, and the source documents themselves. This is curation rather than upload — what goes in is what gets relied on.
- 03
Organize with categories
Cluster related memories so the estate stays navigable as it grows from three memories to three hundred.
- 04
Point everything at it
Creation, translation and personalization workflows, and chat, all resolve against the memory you select — across every format they produce.
Who it is for
Teams using Vitra Memory
Brand context that survives the format
The positioning holds whether the next asset is a dubbed video, a translated banner or an app screen, because all three read the same context.
A memory per product line
Forty products with genuinely different claims and constraints stay separate, instead of one blended context that is slightly wrong for all of them.
A memory per market
What can be claimed in one market and not another is context, not translation — and it belongs somewhere the generation step can actually read.
Agencies with client context
A separate, access-controlled memory per client, so the work done for one never informs the output produced for another.
FAQ
Questions people ask
How is Vitra Memory different from VitraTM?
VitraTM remembers your wording — approved translations, matched exact, fuzzy then semantic, so a sentence translated once is reused rather than regenerated. Vitra Memory remembers your facts — what your company is, what a product does, what is true in a market. TM makes translated content consistent; Memory makes generated content correct. Most workflows use both.
What can go into a memory?
Company context, product detail, market information, positioning and constraints, and source documents themselves. It is deliberately not a fixed schema, because the context that matters differs between a bank and a travel brand.
How many memories can I create?
There is no limit. Memories are created by name, so teams typically run one per product, per brand, per market or per client rather than trying to fit everything into a single store that would be slightly wrong for every use.
Why do categories matter?
Because an estate of three memories needs no organization and an estate of three hundred is unusable without it. Categories cluster related memories so the right context is findable, which is what keeps people using it rather than working around it.
Does chat use the same memory as workflows?
Yes, and that is the point. A question answered in chat and an asset generated by a scheduled workflow resolve against the same context, so what a person is told and what the platform produces cannot diverge.
Does this reduce hallucination in generated content?
It narrows the problem by grounding generation in material you curated rather than in whatever the model inferred. It does not remove the obligation to review claims — anything stating a price, an entitlement or a regulated fact should still pass quality control and a named reviewer.
Who can see a memory?
Access is scoped per organization with role- and entitlement-based control. An agency can hold a separate memory per client with no leakage between them, and a reviewer sees only what their role permits.
Start with Vitra Memory. Grow into the whole platform.
Everything in Vitra Universe shares one translation memory, one brand kit, and one quality bar — so the work you do here makes everything you do next faster.