Frontier models
The top closed models, for the tasks that need them — never more than the task requires.
The Platform
One layer between your company and every model.
Your context, any model, one bill — routed per task, governed, and on the record.
any model
your context, kept
one bill
Model for this task
ROUTED
The router picks from 30+ models — your context stays in the layer, whichever one runs.
AUDIT_LOG · append-onlylive
Approval A human decides
The research assistant wants to share 2 things with the legal team.
One router
One expensive model for every task
One layer. 30+ models. The right one for each task.
CarveAI runs on a catalog of 30+ frontier and open-source models on AWS Bedrock. You set the pool; the choice is weighed on quality, cost, and security for the task — with automatic per-task routing across the full catalog. No subscriptions with every provider.
Everything on. Frontier, open-source, and models fine-tuned for you — routed per task.
Frontier only. Restrict the pool to vetted frontier models when policy demands it.
Open-source, on your terms. Include open-source and local fine-tunes to cut spend — per agent or company-wide.
One task · the right model
Drag to set what matters — the router re-picks
Routed to Claude · frontier
Open-source models
Included or dismissed by company policy — a cheaper, controllable option for the right jobs.
Fine-tuned & local
Company-specific models fine-tuned on open-source bases — cutting spend and running close to your data.
Your AI team
One tool that claims to do everything
A team of AI assistants, each focused on one job.
Everyone gets an assistant that pulls in the right helper for each task.
Your assistant
YOUR HELPER
Handles it, or brings in the right helper.
brings in the right one ↓
research
coding
documents
data
browser
Research
Looks things up online and brings back sources.
Coding
Runs tasks in a walled-off sandbox, and works with GitHub.
Documents
Reads and writes your docs — Drive, Box, PDFs.
Data
Read-only queries against your database, Sheets, and Excel.
Browser
Drives a real browser session, with a human watching.
…and more
Calendar, email, Notion, Slack and your files — right on your assistant.
Your context
Context trapped inside one model
Your context lives in the layer — and it's yours.
Private by default, shared only with a human's yes, secrets in a vault — and portable to whichever model runs next.
Stays with you. The default — never passed to anyone else.
Cleared to share. Reaches others only after a human approves.
Locked in the vault. Secrets that are never shared.
Quarterly board summary
SHARED
Approved to share.
Open deal pipeline notes
PRIVATE
Never handed to anyone else.
Personal history
VAULT
Kept in the vault, never shared.
A human approves
AI that acts on its own, behind your back
It pauses. A person decides. Then it carries on.
Before anything important, it stops and asks a person.
- Always asks before sending a message or making a change.
- Picks up right where it left off.
- You can steer it mid-task.
Approval A human decides
The compliance assistant wants to send an outside message with private pricing.
on the recordwritten
14:21:09HUMAN_APPROVALh.approver
Company Brain
A company brain, built on the knowledge you already have.
CarveAI turns the documents and tools your team already works in into one shared brain of how your company runs. An admin seeds it on day one, and from there it compounds — every interaction across your team makes it sharper, so the more people use CarveAI, the more it knows and the better every assistant gets.
Your company brainorganized by meaning
Overview
Policies
How we work
Security
Product
Every fact is filed by meaning, so an assistant can pull the right knowledge for the task — not a keyword match.
- 1
Seed it on day one
An admin connects your core docs and the systems your team already uses — how you work, your policies, the basics. CarveAI turns them into memory.
- 2
The right answer surfaces
Each fact lands in the right part of the brain, so the knowledge that fits the task comes up first.
- 3
Held for an admin's approval
New answers are held for review. An admin approves them — one or a whole batch — and a safety check screens every one first.
- 4
Gets sharper over time
Every approved answer makes it smarter. A plain-language history shows what's new — and old facts retire instead of being silently overwritten.
Preview — how a change is reviewed
Review A change wants into the brain safety check passed
+Refunds above $5,000 now need a manager's sign-off.
-Refunds above $2,000 need a manager's sign-off.replaced
Onboard fast
New people get up to speed fast — and knowledge stays.
A new hire's assistant picks up a colleague's know-how, with their sign-off.
STEP 01
The new assistant asks
It reaches the colleague most likely to know.
STEP 02
Sensitive details are kept back
Vaulted secrets never cross over — a hard line.
STEP 03
The colleague signs off
They approve only what should be passed on.
request openedstep 01
10:02:14MEMORY_REQUEST_CREATED#4821
SHAREDPRIVATEVAULT ✕ filtered
Vaulted details never cross the line.
Approval Pick what to share
3 of 5 things chosen to pass on.
Cost
Control every dollar of spend.
Cheap tasks run on cheap models, repetitive work stops paying frontier prices, and it all lands on one bill.
The right model for the job
The router sends routine work to cheaper models and saves frontier spend for the tasks that truly need it.
Workflows become endpoints
Detecting repetitive tasks and turning common workflows into deterministic endpoints — predictable, fast, near-zero cost.
One bill, no stacked subscriptions
Usage-based and consolidated — one bill instead of a separate subscription with every provider.
0
models, one bill
0
per-provider subscriptions to manage
0%
usage-based — pay for work done
Where you work · inside AWS
No setup. Inference stays inside AWS.
We get you live right in Slack and the apps your team already uses — with inference running on AWS Bedrock, so your company's data never leaves the AWS boundary.
How it fits together
See it on your use case
See your context outlive any model.
A 30-minute walkthrough on a workflow your team actually runs.