Give your company a team of agents that know it.
Generic chatbots are brilliant strangers — they forget you every session, guess instead of citing your docs, and have no hands when work needs doing. CurionOS gives every agent durable memory of your organization, grounds it in your knowledge, scopes it to who's asking, and gives it a real computer to get the work done.
Model-agnostic · Runs in your cloud · Never trained on your data
The problem
The models are brilliant. They're also total strangers.
The bottleneck was never intelligence. It's that a frontier model doesn't know your company, forgets everything the moment a session ends, and has nowhere to actually do the work.
Amnesia by default
Every session starts from zero. Decisions, commitments and hard-won context evaporate — nothing compounds across people, tasks or time.
Ungrounded & unscoped
It guesses instead of citing your documents, and answers the intern exactly like the CFO. No sources, no access control.
No hands when it counts
Most real work lives behind GUIs and files, not APIs. When a task actually needs doing, a chatbot has nowhere to do it.
The platform
SaaS gave every company software. CurionOS gives it agents that know it.
Four things every generic agent is missing — built into the operating system, so every agent you create arrives with them on day one.
Remembers
Durable, bi-temporal memory of your people, decisions and work — compounding across every agent in the org.
Grounded
Answers from your knowledge base, citing sources. It knows, instead of guessing.
Scoped
Four access tiers plus groups. Each agent surfaces only what the person asking is allowed to see.
Acts
When a task needs hands, it spins up a real cloud computer, does the work, and remembers how.
Capabilities
Everything an enterprise needs to trust agents in production.
Model-agnostic — and you own the memory
Run OpenAI, Anthropic, or local models, fully flexible — swap freely (one-click switching via OpenRouter is coming). Your organization's memory lives with you, never locked inside a single model vendor.
Meets your team in chat
Alive 24/7 in Slack, Teams and Telegram. A single command runs the agent and posts progress in-thread — where your team already works.
Real computers, on demand
A full desktop — browser, shell, files — boots per task, does the work, and tears down. Not a headless browser.
One shared memory that compounds
Every run is written back and recalled by the next. The fleet gets cheaper and more reliable the more your organization uses it.
Expert skills
Agents that arrive with expertise.
Beyond memory and knowledge, a CurionOS agent can be equipped with a skill pack designed by experts — the tools, methods and judgment of a specialist, built in. Start with ours, or encode your own.
Biostatistician
NCA, population PK, survival analysis, and submission-ready tables, listings and figures — the methods and conventions of a working statistician.
Pharmacometrician
nlmixr2 / NONMEM workflows, VPCs, allometric scaling and human-dose projection, grounded in your study data.
Regulatory Affairs
Submission structure and health-authority conventions, with gap checks against current guidance.
IND Medical Writer
Protocol and IND section drafting grounded in your source documents and your house style.
Program Manager
Ingests and records meeting minutes, sends the minutes and reminders, looks up the calendar, and keeps every workstream on track.
Build your own
Compose skills from your team's tools, SOPs and playbooks — the expertise of a specialist, encoded once and reused. MCP integrations coming.
OpenAI, Anthropic or local — you choose, and switch without re-platforming
agents alive where your team already works — Slack, Teams and Telegram
of agent actions observable — a live screen and streamed steps you can watch
Security & governance
Safe enough to hand real work to.
One agent per isolated machine, access scoped to who's asking, and every action observable on a live screen. It runs in your own cloud, and your organization's memory is namespaced to you alone — not locked inside a model vendor.
Use cases
Put agents to work where the busywork lives.
Program management
Meeting minutes ingested and recorded, minutes and reminders sent, the calendar checked — every workstream kept on track.
Research & briefs
Multi-source research compiled into documents — on demand, or every morning at 8.
Portal operations
Log in, extract, reconcile and file across vendor and government portals that will never have an API.
Agent-run data science
Agents pull data, analyze it with pandas and numpy, and produce charts inside one machine.
Scheduled monitoring
Watch competitor pricing, portfolio news or study milestones and report the deltas to Slack.
Document ops
Invoices, statements and forms: download, parse, cross-check and file the results.
See what your company looks like running on agents.
Book a 30-minute walkthrough. We'll map CurionOS to one workflow you'd automate first.