everything your agent needs.
run any model. compose agents. stack knowledge.
trusted by employees at
Amazon
AMD
Atlassian
Bain & Company
Bayer
ByteDance
Canonical
Capgemini
Capital One
Cisco
Citrix
Danfoss
DoorDash
Electronic Arts
GitHub
Google
HubSpot
Lenovo
Microsoft
Miro
monday.com
Netflix
NVIDIA
Okta
Oracle
Pendo
PwC
Salesforce
SAP
Shopee
Spotify
Stanford University
Tencent
Under Armour
Unity
Vercel
Wix
Amazon
AMD
Atlassian
Bain & Company
Bayer
ByteDance
Canonical
Capgemini
Capital One
Cisco
Citrix
Danfoss
DoorDash
Electronic Arts
GitHub
Google
HubSpot
Lenovo
Microsoft
Miro
monday.com
Netflix
NVIDIA
Okta
Oracle
Pendo
PwC
Salesforce
SAP
Shopee
Spotify
Stanford University
Tencent
Under Armour
Unity
Vercel
Wixbased on registrations using verified company email addresses. company affiliation does not imply endorsement.
tools
any ai model. one api call. image, video, audio, text, search, 3D - one key, pay per run, zero vendor lock-in.
exploreskills
don't write the same prompt twice. proven instructions that just work. versioned, security-scanned, fitness-ranked.
exploreagents
from demo to production in an afternoon. durable execution, persistent state, human-in-the-loop.
exploreui
ai-native react components. chat, generative ui, tool approvals. 30+ widgets.
exploreteams
coming soonyour team's ai workspace. shared memory, automations, self-hostable.
explorebelt cli
one install. your agent never starts cold again. skills, knowledge, and tools surface automatically.
explorewhy we built this
the pain points that made us build inference.sh.
"the agent framework is not the moat. prompt engineering is not the moat. the base LLM is not the moat."
"the specialized tools that encode domain knowledge - are the moat."
"i spent 6 hours debugging a workflow that had zero error logs. when something breaks at 2 AM, i don't want to trace through 47 nodes."
"i want to see exactly what payload caused the issue."
"i felt like a 'button person' in my IDE. the agent works in quanta - cut off by time every 2 minutes."
"long tasks require pipeline thinking, not chat sessions."
"our multi-step agent produced great results but took 45+ seconds. users thought it crashed."
"if they see the internal monologue, they wait. if they see a spinner, they leave."
"spent 10 hours deploying agents on EC2. switched to serverless."
"why is this so hard?"
"systems record that a ticket was escalated, but not why it happened."
"without that reasoning, agents treat every edge case as a brand new problem."
frequently asked questions
the ai runtime that compounds with every session. run any model, compose agents, stack knowledge - it never forgets. also includes a skill registry, react components, and a team workspace.
ready to ship?
start with the hosted platform. deploy your own when you're ready.
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