Our private beta has ended. We're taking a short development break —
get updates
when we're back.
The all-in-one platform for models and agents. On our cloud or yours.
Run LLMs, diffusion, classifiers, knowledge bases, and agents behind one runtime. Start on
SynapsAI Cloud, then take the same stack to GPUs you already operate.
Everything under one hood
Stop stitching five platforms together. This is what running your own OpenAI API Platform
would feel like, except every model on it is yours.
Wide model support — LLMs, diffusion, vision, speech, embeddings
Dedicated agents — tools and traces, no extra orchestration
Integrated knowledge bases — search your files from the same private API
Deploy from a Hugging Face repo, get a private endpoint, and skip provisioning infra.
Step 2 — Move to your hardware (or stay)
Point the same runtime at your own GPUs — on-prem, colo, or a major cloud.
Supported targets include on-prem, AWS, Azure, Google Cloud, Oracle, Nebius, and CoreWeave.
Deploy SynapsAI where you need it.
Access GPU infrastructure across multiple providers and regions through a single platform.
How a model actually reaches production
You point at the checkpoint. SynapsAI builds, serves, and monitors it.
You: model source — Hugging Face, S3, or local
SynapsAI runtime — build, package, schedule
Endpoint — OpenAI-compatible API
Dashboards — latency, cost, replay
SynapsAI offers exceptional flexibility in model deployment. It is incredibly straightforward to launch models and manage sessions efficiently.
SynapsAI in the wild
Vertical AI products
Serve customer-specific models in the cloud, then pin sensitive tenants to on-premises
infrastructure without changing the API.
Evaluation platforms
Load and switch among many checkpoints with built-in scheduling, storage, and monitoring controls.
Enterprise AI teams
Deploy classification, vision, speech, and language workloads behind private APIs — on GPUs you already operate.
The platform
Everything you need to run models in production, not just serve them
Agents, knowledge, request replay, cost and latency, and the access model behind every private API.
Wide model range support
Deploy LLMs, diffusion models, classifiers, vision, audio, video, and embedding pipelines
behind one runtime — using standard Hugging Face pipeline tasks.
Text & language
Vision
Image generation
Audio & speech
Embeddings & ranking
Classification
40+ pipeline tasks. Deploy any Hugging Face pipeline task on SynapsAI Cloud.
Attach knowledge bases, web search, HTTP fetch, a calculator, Python execution, and
sub-agents. Set a step limit. No orchestration code required.
Point it at where your knowledge already lives
OneDrive
Dropbox
Notion
Google Drive
S3 / object storage
Direct upload
Every request, replayable
Opt-in per-endpoint logging stores the raw input and output so you can inspect a failed
call the same way you would a terminal capture. Data never leaves the customer's own
project.
Cost, latency, and utilization in one place
Spend by model
See which checkpoints actually consume budget, not a blended average.
Percentiles, not averages
p50 / p95 / p99 so tail latency is visible before users feel it.
GPUs you already own
How much of the pool is busy versus sitting idle between bursts.
Role-based access, API keys, and audit logs — as a table, not a diagram
The same controls named on the landing page: roles, keys, audit logs, and network isolation.
This is the permission model those sentences refer to.
Role
Deploy models
Manage billing
View analytics
Manage team
Create API keys
Owner
Yes
Yes
Yes
Yes
Yes
Admin
Yes
—
Yes
Yes
Yes
Developer
Yes
—
Yes
—
Yes
Viewer
—
—
Yes
—
—
Taking a short development break
Leave your email and we'll let you know when this stack is ready for the next chapter.
Everything on this page applies to our managed cloud. Deploying on your own infrastructure or
bringing your own cloud (on-prem / BYOC) is priced separately.
Compute depends on model size, precision, and GPU memory. Use the estimator for your
Hugging Face model, or scan the example rates below.
Billing plan
Per-hour — steady workloads with predictable throughput
Per-token (common) — variable generation; pay for input and output volume
You choose one billing model for compute; you are not charged both ways at once.
Estimator
Estimate your model costs
Enter your model details for a preliminary cost estimation. For precise quotes, please contact us.
Example LLM rates
BF16 · 128k context · per hour
35B Parameters — $5.4/hr
24B Parameters — $4.5/hr
8B Parameters — $3.0/hr
Example transcription rates
per hour
2B — $0.70/hr
Estimated costs cover Super-Fast storage per month, hourly compute, and per-token compute
for input and output. These are estimates. Actual costs may vary based on exact model
architecture and resource utilization. Storage costs only apply if Super-Fast Readiness is chosen.
Tool usage
Agent tools
When agents call external tools, usage is metered per invocation. Rates below are loaded
from the live catalog when available.
Tool
Rate
Unit
Web search
$0.01
per search unit
Knowledge-base retrieval
$0.0050
per search
Knowledge
Ingestion
Adding documents to a knowledge base runs an embedding pass over the text so chunks can be
retrieved later. You pay for the tokens processed during that ingestion step—not again on
each agent search (retrieval is listed under tool usage).
Operation
Rate
Unit
Document ingestion (embeddings)
$0.04
per million tokens embedded
Storage
What you keep
Stored bytes are billed by the gigabyte each month. That covers model artifacts, documents
in a knowledge base, and request payloads when request logging is turned on. The rate is
loaded from the live catalog when available.
Stored data
Rate
Unit
Model artifacts — prepared checkpoints and related files
$0.25
per GB / month
Knowledge-base documents — source files kept for retrieval
$0.25
per GB / month
Saved request payloads — inputs and outputs, when logging is enabled
$0.25
per GB / month
Get in touch
Contact us
Cloud, on-prem, or a custom deployment on hardware you already run — tell us what you need.
How we help
Whether you need a demo, an on-prem conversation, or a partnership — complete the form and
our team will respond promptly.
Demo requests
On-prem & client hardware
Sales & pricing questions
Technical support
All-in-one AI platform ops, on our cloud or yours
Serve your own models, knowledge, and agents from one runtime — start hosted, then take the
same stack to hardware you control.