Krevyos is the
AI workspace
for life sciences
Where people and their agents work together, in a GxP-ready environment.
The workspace
People decide and sign.Agents execute.All within the workspace.
Agents take the steps their person allows, some on their own and some after approval, never more than that person may do. Every act carries both names.
Inside the workspace:
Data agents can read.
Context they can cite.
Workflows they can act in.
Limits they cannot cross.
Their own identity, tied to a person.
A record of everything they do.
Krevyos is that workspace by design, for whichever agent you bring.
Step 1: Connect
Bring the agent you already use
Microsoft Copilot, Gemini, Claude, ChatGPT: your teams connect the assistants they already use, each as the agent of a named person who approves it and chooses what it may do. Technical teams can also connect agents such as Claude Code from the command line.
- Any agent can connect
- You approve it and choose what it may do
- Or Claude Code, from the command line
- Every agent, in one list
Composed from the product's component library and its command line, with illustrative records, not a customer's system.
Step 2: Work
Your agent does the work. You keep the final say.
It drafts and updates records on its own. When an act needs you, it asks and waits. What only a person may do, such as signing, it cannot do at all.
- You ask in plain words
- It asks when it needs you
- You approve, as yourself
- The record names both
Composed from the product's component library, with illustrative records and an illustrative conversation, not a customer's system.
What this changes
The operation, documented by default
Quality · Regulatory · Safety & labeling
01 / 03
An agent prepares the work: the draft, the evidence and every record the change reaches, each with its source.
02 / 03
A person decides and signs. The decision becomes a record: versioned, dated, with its reasoning attached.
03 / 03
Every step names who took it: the agent, the person it works for, who approved it, when and why. A structure the next agent can read, cite and act on.
The ground truth for AI, created by the work itself
What runs on it
One foundation. A workspace for every vertical
Krevyos Generics
Generic pharmaceuticals
Krevyos APIs
Active pharmaceutical ingredients
Krevyos Innovatives
Innovative pharmaceuticals
Krevyos Supplements
Dietary supplements and nutraceuticals
Krevyos Cosmetics
Cosmetic products and safety
Krevyos Veterinary
Veterinary medicines
Krevyos Medical Devices
Medical devices and diagnostics
Krevyos Domisanitary
Sanitization and household care
/01
Documents carried compliance for a century
Regulated industries built their operations around documents, and for good reason. A document could be signed, filed, archived and audited. For decades it was the most reliable way to show who did what, and why.
So the work became a chain of documents: drafted, reviewed, approved, then restated in the next one downstream. The same fact ends up in the dossier, the specification, the tracker and an email thread, each copy a chance to diverge.
That was the right answer for teams working by hand. It is the wrong foundation for teams working with AI.
/02
An agent can read a document. It cannot work inside one
Point an agent at an archive and it inherits every inconsistency in it. When the same value appears in five versions of a file, it cannot tell which one is current. At best you get a faster search. At worst, a confident answer with no source.
And reading is the easy part. To be useful, an agent has to act: draft the change, update the record, prepare the review. A document gives it nowhere to act, no limits on what it may do, and no record of what it did.
That is why so many AI initiatives stall after the demo. The models are capable. What they lack is a governed place to work.
/03
In a workspace, compliance is part of the work itself
People and agents work on structured records, not on files about them. Every change is versioned, every act names who took it and for whom, and the rules apply at the moment of the act.
That is what GxP has always asked for: records that are attributable, contemporaneous and complete. A workspace produces them as the work happens, so an inspection reads the record instead of reconstructing it.
It is also faster. A value is entered once and read wherever it is needed, instead of being copied from one document into the next.
/04
AI should make your experts more capable, not less needed
Experts in regulated teams spend too much of their time restating, reconciling and chasing documents. In a workspace, their agents take on that preparation: the draft, the cross-check, the first pass.
People keep the judgment: the decision, the approval, the signature. The FDA expects exactly that. In an April 2026 warning letter (320‑26‑58), it wrote that "any output or recommendations from an AI agent must be reviewed and cleared by an authorized human representative of your firm's Quality Unit."
The result is a team that spends its time on the work only it can do, with a record that shows how every result was reached.
Built by
Julieta Villafañe
Founder & CEO
Biotechnologist. 10+ years inside pharma.
Alejo Hernández
Co-founder & CTO
Physicist. 10+ years modeling complex systems.
Your people, your agents,
one set of rules
When you're ready to put agents to work, we are.