Reasoning
Frontier-level on GPQA, DROP, and BIG-Bench Hard — the evals that decide real work.
Frontier-class AI, hosted in the US, at a fraction of the cost.
Aligned matches the pioneer models on the benchmarks that decide real work — and adds what they will not: US-hosted inference, 10–50x lower costs, and safety built into the architecture.
AAI Terminal — supervised · policy: aligned-default
operator@aligned:~/workspace$ aai train --playbook ./agents/policy.yaml --dry-run
→ checkpoint: waiting for operator confirm (no silent deploy)
→ dry-run complete · no writes
How do we migrate 12M support chats to the US-hosted lane without downtime?
Run a 10% shadow cutover, compare hallucination and cost vs your current provider, then flip by policy ring.
Est. 22x lower cost on pilot volume; all data stays inside the US boundary.
Live chat — migration pilot
Top 3
accuracy across 13 deployed models, and #1 on accuracy per dollar
20–80x
lower cost per chat than frontier APIs, at comparable accuracy
100% US
hosted inference, inside a boundary you can name in a contract
Put a frontier-class model to work, without the trade-offs
The same caliber of output the pioneer models give you — on the evaluations enterprises actually run.
Do more
Do more, for less.
Run the workloads you have been rationing because of cost. At $0.006 per chat against $0.12–$0.50 for frontier APIs, the budget that bought one workload now buys ten.
Talk to our team
Accuracy
Capability without the trade-offs.
Aligned performs at the level of the pioneer models on reasoning, coding, math, and instruction-following — all reproducible on public Hugging Face datasets and independent leaderboards.
Talk to our team
Just as good, a fraction of the cost.
Top-3 accuracy across 13 deployed models, and #1 on accuracy per dollar — with the benchmark named and the source public.
Aligned AITop 3 frontierOther frontier
Residency
Your data stays in the United States.
Inference runs on US infrastructure with encrypted data in transit and at rest. Dedicated capacity and private deployment are available, with data-flow diagrams under NDA.
Talk to our team
Safety
Safety is the architecture, not a filter on top.
Classification and verification wrap every call before and after inference. Independent red-team coverage and hallucination reduction are built into the stack — not promised around it.
Talk to our team
Benchmarks
Compare us to the models you are already evaluating.
We publish our numbers next to theirs, with the benchmark named and the source public. “n/r” means a provider has no official score.
| Benchmark | Aligned | GPT-4o | Gemini 1.5 Pro | Llama 3 405B |
|---|---|---|---|---|
| GPQA Diamond (graduate science) | 58.2% | 53.6% | n/r | n/r |
| MMLU 5-shot (knowledge breadth) | 87.3% | n/r | n/r | n/r |
| HumanEval (coding, pass@1) | 89.3% | 90.2% | 84.1% | 84.1% |
| MGSM (multilingual math) | 91.2% | 85.5% | 87.5% | n/r |
| DROP F1 (discrete reasoning) | 84.9% | 83.4% | 74.0% | 83.5% |
| BIG-Bench Hard (3-shot CoT) | 88.5% | n/r | 89.2% | 85.3% |
| MATH (competition math) | 75.2% | 76.6% | n/r | 67.0% |
| Avg. cost per chat | $0.006 | $0.045 | $0.29 | n/a |
| US-hosted | Yes | No | No | self-host |
| Trains on your data by default | Never | Varies | Varies | n/a |
Deploy with confidence.
Enterprise-grade access controls, and we never train our models on your data unless you opt in.
Architected to SOC 2 standards- US-hosted inference, encrypted in transit and at rest
- No training on your data by default, on any tier, in writing
- No ads, on any plan, ever
- Single sign-on (roadmap; confirm for your org)
- Role-based access with fine-grained permissioning
- Per-environment API keys, self-serve issue & revoke
- Audit logging with export
- Data retention and deletion controls
- Usage and spend analytics, billed in messages
- Dedicated capacity and private deployment options
- Built on SOC 2-compliant infrastructure
Choose how you engage.
Enterprise API
Frontier-class output through OpenAI-compatible endpoints. Billed in messages with volume pricing. Custom terms available; minimums set per deployment.
Talk to our teamDedicated & private deployment
For strict residency, security, or scale needs. Dedicated capacity, custom data-flow, a named account team, and tailored terms. Pricing on request.
enterprise@joinaligned.ai