GLM-5.2
Zai-org
Ready
New$10 in starter credits free when you create an account
New$10 in starter credits free when you create an account
Run the world's best AI entirely inside your own organization - on your own systems, even fully offline. Your data never leaves your control, on infrastructure proven where failure is not an option - all the power of a top AI provider, none of the exposure.
GLM-5.2
Zai-org
Ready
Qwen3.6-27B
Qwen
Ready
Gemma-4-31B-it
Ready
10-50x
cheaper than closed APIs
$10
in free credits to start
Zero
data retention, by default
Customers
Most business comes down to relationships. Knowing I can call these guys and say ‘here’s what I’m trying to do, what’s going on here, how do we do this?’ — that’s the difference.
What it means
The models, your data, and every inference run entirely inside your own environment - none of it ever leaves your network. That's how you meet the strictest data-residency and security mandates without giving up frontier-level capability.
Zero data retention
Every prompt and output stays inside your boundary. Nothing is kept once a request completes, and nothing is ever used for training.
Your hardware
Models run on infrastructure you own, in a facility you control. Air gapped or private, with nothing calling in or out.
Your rules
Classification, retention, and access follow your policy, not a vendor default. Audit logs stay on your side, so you can prove compliance instead of asserting it.
Data sovereignty
Every prompt, token, and model weight stays inside your network. Privacy and residency are enforced by architecture, not by policy.
Compliance-ready
Engineered for the toughest data-residency, national-security, and regulated-industry mandates — your data never leaves your jurisdiction.
Frontier quality
Run GLM, Qwen, Gemma and more privately — frontier-level quality, added the day they launch, with none of it behind a closed API.
Air-gapped by design
Deploy with no link to the public internet — no external calls, no telemetry, no third-party dependencies at inference time.
Proven reliability
Built on TurbOS, the compute platform trusted in national labs and mission-critical systems where the wrong answer is worse than none.
No lock-in
Open weights on your own hardware — audit it, extend it, or walk away anytime. No vendor ever holds the keys.
NOT JUST FAST
Every inference provider is fast — throughput and latency are the price of entry. What sets Hoonify apart is everything around the token: a price you can see up front, data that's never retained, and one API that runs the same from your first prototype to your own air-gapped hardware — without changing a line of code.
Every rate is published per million tokens, right next to the model — no "contact us" to learn what you'll pay, no surge, no idle GPU-tax, no per-seat math. You see the number before you turn the key.
Nothing is retained after a request and we never train on your prompts. Privacy is the default, not an enterprise upsell.
Start serverless in minutes and, when a workload needs it, run the exact same models and API in private-cloud, on-premises or fully air-gapped. Same car, more isolation — no re-platforming, no second vendor.
WHAT YOU CAN RUN
The workloads teams have been holding back from public APIs — now safe to run, because they never leave your environment.
Knowledge & search on sensitive data
Answer questions across regulated, controlled, or classified document sets — grounded and accurate, without any of it leaving your network.
Coding on proprietary source
Give engineers AI assistance on code and systems that can never touch a third-party API.
Citizen & constituent services
Public-sector chat and case handling with full data residency, auditability, and control.
Analysis on regulated records
Summarize, classify, and extract from PII, PHI, or controlled data entirely in-boundary.
Same SDK. Same code. One new base URL.
PAY PER TOKEN
Per-million-token pricing, billed for exactly what you send — no surge, no seats, no reserved capacity, and no idle GPU-tax. You pay for tokens, not for hardware sitting warm between requests, so there are no surprises at the end of the month.
MONTHLY TOKENS: 100M
MONEY SPENT: $40
MONTHLY TOKENS: 100M
MONEY SPENT: $1600
blended in/out rate · taxes excluded
Transparent rates
Every model lists its in and out price per million tokens, up front. What you see in the catalog is what lands on the invoice.
No idle GPU-tax
You're billed per token, never per GPU-hour. Reserved capacity and self-hosting make you pay for silicon whether it's working or idle — here, capacity you're not using costs you nothing.
No surge pricing
Rates don't spike with demand or time of day. Budget once and it holds, whether you send a thousand tokens or a billion.
$10 in credits free
Every account starts with $10 in credits and no credit card. Enough to run your real prompts and see the numbers before you spend a cent.
How it works
No infrastructure to set up and no migration project — most teams are running their first request the same afternoon.
Step 1
Browse the catalog or try one live in the workbench — no commitment and no credit card required.
Step 2
Swap in the OpenAI-compatible base URL and an API key. Your existing code keeps working as-is.
Step 3
Transparent per-million-token pricing with no surge. Every account starts with $10 in credits free.
Idea to first call in minutes
Prototype in the workbench, then move the same request into production behind one base URL. No infrastructure stands between you and a working solution.
Iterate at the speed of the problem
Swap models, tune prompts, and re-run against real traffic in the same setup. When the problem shifts — or a better model lands — you adapt in a config change, not a project.
Solve the workloads you'd shelved
The jobs that were too expensive or too sensitive to ship on a closed API — high volume, proprietary data, always-on — become the easy ones. The bottleneck stops being cost or infrastructure and goes back to being your idea.
Outcomes, not overhead
No clusters to stand up, no capacity to forecast, no on-call rotation. Your team spends its hours on the solution, not the plumbing underneath it.
Proof in production
One platform powers every team — start with the model that fits the job, and switch anytime without changing your setup.
Start saving — $10 in credits free-68%
lower inference spend
after moving everyday workloads from a closed API to Hoonify.
We can reduce our initial analyst load by more than 90%. Our future is all the brighter thanks to Hoonify's involvement
TRUST & PRIVACY
Regulation or contracts
require data to stay in your country or network
Compliance or security
has blocked you from using closed AI APIs
You work with classified,
controlled, or IP-sensitive material in controlled industries
You want frontier AI
without sending a single prompt to a third party
BUILT TO NOT FAIL
Hoonify Inference runs on TurbOS — the compute platform built for national labs, scientific computing, and mission-critical systems. That same operational discipline routes every request you send, so latency stays low and capacity scales under you without a page to your team.
Intelligent request routing and model-weight caching put your call on warm capacity fast — streaming tokens back in milliseconds, not seconds.
GPU scheduling scales from your first request to peak volume automatically. No capacity planning, no reserved instances, no idle spend.
Provisioning, scaling, and on-call are ours, not yours. Your team ships product instead of babysitting a GPU fleet.
What teams build
Start with the model that fits the job and switch anytime without changing your setup.
Answer customers and deflect routine tickets around the clock — at a fraction of the per-seat cost of a closed AI tool.
Runs great on Gemma 4.
Turn your own documents and data into instant, accurate answers — reliable enough to put in front of customers.
Runs great on GLM-5.2.
Review code, draft tests, and explain unfamiliar services right inside your stack — on models you host and control.
Runs great on Qwen Coder.
Tag, route, and structure high-volume records end to end — the always-on jobs that were too expensive to run on a closed API.
Runs great on Gemma 4.
Questions, Answered
Still deciding? Talk to our team about your workloads and we will map out the numbers with you.
What does 'sovereign AI' actually mean here?
Can Hoonify run fully air-gapped?
Which models can we run on-premises?
How does this help with data residency and compliance?
Because data never leaves your jurisdiction or your network, sovereign deployments are engineered for data-residency, national-security, and regulated-industry mandates. We work with your team on the specifics.
Do you retain or train on our data?
Never. We do not train on your prompts and retain nothing after a request. In a sovereign deployment, that data physically never leaves your environment in the first place.
What infrastructure do we need?
TurbOS runs on your GPU hardware and is Hoonify-managed. Our team scopes the right configuration for your models, throughput, and security posture during onboarding.
Get Started
Tell us about your environment and requirements — our team will scope a sovereign deployment for your models, throughput, and security posture.
New accounts start with $10 in credits free
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