Vlincta. From idea to done, within budget.
AI for teams that aren't technical.
Costs 50% less than the price of frontier models, at the same quality.
One workspace your team shares
For a small business, or a team that is not technical: the work, the conversation, the tools and the budget in one place, with the people you invite.
Chat, projects and files
Ask in plain words and get the work back. Conversations, documents and the facts your team keeps, organised in projects and shared with the people in your workspace.
Channels for your team
Talk to each other where the work is: channels in the same workspace, with their threads, open to the people you invite.
Memory you control
Vlincta can keep short facts from your chats to help later; ask what it remembers, tell it to forget, or turn memory off.
Scheduled agents
Agents that run by hand or on a schedule, inside spend limits, and wait for a person before they change anything outside Vlincta.
Web fetching and file management
Built-in tools read public pages and your workspace's files, and write new versions of a file instead of overwriting it.
Integrations and MCP
Connect the services your work lives in and your team's own MCP servers, or connect Vlincta to the assistant you already use.
Seat plans and your own keys
Bring a frontier plan or connect a provider key; both run on the same platform at the same output quality.
GDPR-compliant processing
Named subprocessors under EU standard contractual clauses; EU-region processing on request; nothing you send trains a shared model.
Open-weight models
Models whose weights are published, chosen by Vlincta's own evaluation loop, listed in your registry with a price and a date.
Two kinds of number, never added together
Your report shows what you spent and what the same work would have cost at a fixed model. They are different kinds of number, they live in different sections, and the invoice is only ever the first.
Measured spend
What the ledger metered: every call, every token, priced at the snapshot date the report shows, reconciled against your provider's invoice.
Modelled saving
What the same tokens would have cost at a baseline model, by a method the report names and prints in full. A model, not a measurement — and never the basis of a bill.
Next: never running out, the AI in your channels, and more
Five things being built, said as coming until they ship. Nothing you send trains anything by default.
Keeps going when the budget runs low
When your team reaches its budget, the work carries on with lower-cost models instead of stopping — no surprise bill, no running out halfway through a task.
On the roadmap
The AI in your channels
Ask Vlincta inside a channel's thread and the answer lands there for everyone in it, with its cost on the same ledger as every other call.
On the roadmap
Large tasks, split into sub-tasks
A request with several parts is split into sub-tasks, each routed to the model it needs, and composed back into one answer — and a split that would cost more than answering it whole does not happen.
On the roadmap
A judge that grades the work
Vlincta's evaluation judge already scores every model per task. Next it grades each routing decision, whether the task was completed, and whether a model you picked by hand did better than the router's choice.
On the roadmap
A model that serves just your organisation
Trained on your organisation's own requests, serving it alone. Opt-in and off until your organisation turns it on; personal data is filtered out first; proven on the evaluation loop before it serves, and called on a ledger row like any other model.
On the roadmap
Questions
What is Vlincta?
Vlincta is an AI workspace for small and medium businesses and teams that aren't technical. You write what you need in plain words, and Vlincta's AI does the work on the right model, inside the budget you set. Your team shares one workspace, with chat, files, projects and channels to talk in.
Do I need technical skills or API keys?
No. Create an account, sign in and write what you need. Vlincta chooses the model for you. If your company already pays an AI provider, you can connect that key too, but you don't have to.
What can my team do with it?
Ask questions and get drafts, summaries and analysis; work with your files and projects; let Vlincta remember useful facts (which you can see and delete); run agents by hand or on a schedule, which ask a person before they change anything outside Vlincta; read web pages; connect the tools you already use; and talk to each other in channels.
How does Vlincta keep costs down?
It doesn't use an expensive model when a cheaper one does the job just as well. The result is 50 percent less than the price of frontier models, at the same quality. Three systems do the work, and every call is on the record:
- Semantic caching. Reuses results the platform has already produced for an equivalent task, so a question asked twice is paid for once.
- Context compression. Sends a model only the facts, constraints and evidence the task needs, instead of the whole history. A smaller request costs fewer tokens.
- Routing. Gives each request to the cheapest model that can still hold the quality the task requires — open-weight where it can, your frontier key where it must.
- Every call on a ledger row. The saving is engineered, not taken out of the answer. Every request goes through one path and lands on one ledger row: metered, priced at a snapshot date, reconciled against your provider's invoice.
How much does it cost, and can we go over budget?
There is a Free plan and paid plans (Starter, Team and Business), each with a monthly allowance. Your plan's limit stops spending before it is crossed, never after, and your report shows what you spent. Coming soon: when the budget runs low, work carries on with lower-cost models instead of stopping.
Which AI models does Vlincta use?
Open-weight models where they are good enough, and leading frontier models where they are needed. Vlincta picks for each request, and you can always choose a model yourself. New models are added as they are released and tested.
Can we keep using ChatGPT, Claude or the tools we already have?
Yes. Connect your provider key and those models work inside Vlincta, alongside the lower-cost ones. Your team's other tools, such as Slack, connect through Integrations, and so do your team's own MCP servers, whose tools ask you before they change anything.
What happens to the data I enter?
It is used to answer you, and nothing else. We don't sell it or share it with advertisers, and you can delete your chats at any time. GDPR-compliant processing by named subprocessors under EU standard contractual clauses; EU-region processing on request. On the Free plan, some requests may go to free-tier providers in the United States on their published terms; every provider is named in our privacy notice.
Does Vlincta train AI models on my data?
Not by default, and never on shared data. Nothing you send trains a shared model, ours or anyone else's. Later, training will be opt-in per organisation: an organisation that turns it on gets a private model trained on its own requests, serving only that organisation, with personal data removed first.
Who is behind Vlincta?
Vlincta is built in Berlin, Germany. Every request is metered, so you always see what your AI work cost.