More work within the same budget.
At a fraction of frontier pricing, the same budget covers far more usage, so you can run workloads that were too expensive to justify before.
Aligned is sovereign AI: frontier-class capability that runs on US infrastructure, inside a boundary you control, at 10 to 50x lower cost than the frontier APIs. The capability is what you expect. The cost is the reason to move.
Frontier-class capability
Sovereign by design: US-hosted, inside your boundary
Your data is never used for training
At a fraction of frontier pricing, the same budget covers far more usage, so you can run workloads that were too expensive to justify before.
Every team works through one set of OpenAI-compatible endpoints, so you are not tied to a single lab's pricing, release schedule, or deprecations.
The safety and data controls are part of the platform, not added afterward, so AI can go into workflows that compliance would otherwise rule out.
Aligned performs at the level of ChatGPT, Claude, and Gemini on the work enterprises actually run: reasoning, coding, math, and instruction-following. Under the hood it composes across the best available models and routes each task to the strongest one, so as the field advances, Aligned advances with it instead of aging out. You are not trading capability for the savings.
Read how the compound system worksThis is not a discount and it is not a smaller model. It is an architecture that spends compute only where it changes the answer, routing each request to the most efficient path that still meets the bar. Aligned runs from $0.006 per chat against $0.12 to $0.50 for the frontier APIs. Send us one month of your real volume and we will model the difference.
Model your costUp to 50× less
Same traffic · 5M chats / year
Frontier APIs
$2.5M
Aligned
$30k
In most AI products, safety is layered on after the model is built. At Aligned it is part of the structure—built in, not bolted on, so controls cannot be disabled or bypassed.
Classify before inference. Every prompt is policy-checked before any model processes it.
Verify before delivery. Every response is verified against your configuration before it reaches a user.
Built for regulated, data-sensitive, and customer-facing work.
Your prompts, your context, and your outputs stay inside a perimeter you can write into a contract and point to in an audit. Inference runs on US infrastructure. Nothing is sent offshore, and nothing reaches a third-party model you did not approve, so you can say exactly where your data goes, which most providers cannot. The platform runs on SOC 2-compliant infrastructure with certification underway, and dedicated deployment is available for strict residency needs.
This is what sovereign AI means in practice. Every guarantee below is what keeps it true.
Never trained on
Your conversations never train our models unless you explicitly opt in, on any tier.
Never sold or shared
Your prompts and outputs are never sold, rented, or handed to a third party.
No ads, ever
We earn from subscriptions, not your attention, with no ad model on any plan.
Encrypted in transit
Every request and response is encrypted on the wire, by default, with no exceptions.
Encrypted at rest
Stored data is encrypted, with keys we can scope to your own environment.
US-hosted
Inference runs on US infrastructure, inside a boundary you can name in a contract.
No third-party leakage
Requests never reach an outside model that you have not explicitly approved.
You control retention
Set how long your data is kept, and delete any of it on demand.
Audited access
Every access to your data is logged, queryable, and exportable for your own review.
Stage 1
Get a capability comparison against what you run today, plus a cost model built on your real volume
Stage 2
Point your existing OpenAI-compatible integration at Aligned with a base-URL and key change, no application rewrite
Issue per-environment API keys with self-serve revocation
Stage 3
Configure SSO, role-based access, and audit logging in the admin console
Move a first production workload over and review the side-by-side cost report
Aligned adapts to each team's work through one set of endpoints. Pick a function to see what it does.
Example prompt
Output
Regulated functions like Finance, Legal, and HR can adopt Aligned at all because of the data policy above.
Sovereignty is not only where your data lives, it is who controls it. The data guarantees are in the matrix above; these are the operational controls your admins manage.
[PLANNED: confirm availability]
fine-grained permissioning [PLANNED: confirm]
self-serve issuance and revocation
[PLACEHOLDER: scope, retention, export]
billed in messages
for strict residency and scale needs
automated user lifecycle management [PLANNED: confirm]
running on SOC 2-compliant infrastructure, certification in process
We are opening Aligned to a small group of enterprises evaluating sovereign AI in private preview. Tell us what you run today, and we will model your cost and run a capability comparison on your own data, so we can both see whether this is a fit.
Frontier-class, sovereign, and a fraction of the cost.