Models
" fs-copyclip-element="click" fs-copyclip-message="Copied to clipboard" class="sub-nav-item">Copy Logo as SVG
Visit Brand Kit
Solutions
Developers
PricingResources
Company
Log inSign up
Coding Apps Websites Shield Lock Streamline Icon: https://streamlinehq.com coding-apps-websites-shield-lock<br>Your code never leaves Europe
Coding Apps Websites Programming Browser Streamline Icon: https://streamlinehq.com
coding-apps-websites-programming-browser
20% faster inference, with no accuracy tradeoff
Design Layer Streamline Icon: https://streamlinehq.com design-layer<br>Compliant, verified, and secure, down to the GPU
Business Products Performance Money Decrease Streamline Icon: https://streamlinehq.com business-products-performance-money-decrease<br>Cut AI coding spend up to 10x
No operational control
Inference location, security, and underlying changes sit with the provider - not with you.
One-vendor lock-in
Prompts and workflows harden around a single API. Unwinding costs more than building did.
Costs you can't forecast
Rates and limits move on their schedule, so capability gets rationed to budget.
Foreign jurisdiction
Contract and access terms can shift with a political decision, not a commercial one.
Path 01
Agentic coding in the terminal
Point OpenCode, ForgeCode, Crush, or Pi at Corti Models with the Corti CLI. Keep the workflow you already have.
# run the setup wizard<br>npx @corti/cli init models<br># load credentials, then launch your agent<br>set -a; source ~/.env; set +a<br>opencode
Path 02
Direct API in your product
OpenAI-compatible. Existing app code works with a base URL change and a new key.
client = OpenAI(<br>base_url="https://ai.eu.corti.app/v1",<br>api_key="")<br>r = client.chat.completions.create(<br>model="corti-s1", messages=msgs
Model<br>Best for<br>Reasoning<br>Cost per 1M tokens
corti-s1 Recommended<br>Complex agentic coding and repo-wide refactors<br>Yes<br>$2.00 in · $8.00 out$0.20 cached input
corti-s1-instant<br>Fast interactive coding and inline completion<br>No<br>$2.00 in · $8.00 out$0.20 cached input
corti-s1-mini<br>High-volume review, tests, and refactors at lower cost<br>Yes<br>$1.00 in · $4.00 out$0.10 cached input
corti-s1-mini-instant<br>Cost-sensitive completion at scale<br>No<br>$1.00 in · $4.00 out$0.10 cached input
corti-s1-embedding<br>Codebase search, retrieval, and indexing<br>n/a<br>$0.03 inno output charge
A working prototype
Someone on your team builds the feature against OpenAI or Anthropic. It demos well. The business case is obvious.
Security, legal, procurement
Data residency cannot be answered. The transfer cannot be justified. The cost at scale cannot be approved. The feature sits in review and the quarter ends.
The same code, cleared
Change the endpoint and the credentials. Keep your application logic, your prompts, and your evaluation set. Run it on infrastructure that passes review the first time.
Verifiable
Verifiable at every layer
Most vendors claim sovereignty in the contract, then rent the stack. Corti Models runs on Kommodity, an open source infrastructure layer, so the entire stack, including encryption, isolation, and security, is public and auditable, not just claimed.
Attestation before inference - isolation enforced by hardware, not policy<br>No US cloud provider in the request path<br>Infrastructure code open source on GitHub for anyone to review
Explore Kommodity on Github
Request traceEU-CPH
10:24:07.004 request receivedeu-copenhagen
10:24:07.006 attestation verifiedquote ok
10:24:07.009 routed to nodegefion / n-04
10:24:07.011 model loadedcorti-s1
10:24:07.788 completion returnedeu-copenhagen
10:24:07.789 prompt retainednone
10:24:07.789 used for trainingnever
Private
Private by architecture
Prompts and completions process in memory and end with the request. Nothing is retained, nothing trains a model, nothing is visible to another tenant.
Central control over access, data handling, and per-team budget<br>Sovereign cloud or on-premises - same platform as clinical AI in production<br>ISO 27001, ISO 42001, GDPR, NIS2, DORA, and EU AI Act posture by default
GovernanceDefault
Prompt retention<br>none
Training on your data<br>never
Data residency<br>your region
Deployment<br>cloud / on-prem
Usage reporting<br>per team
Capacity management
Monitoring and observability
Failover and resilience
Tool calling
Structured outputs
Prompt caching
Access controls
Auditability
Model evaluation
Managed model upgrades
Predictable pricing
Enterprise support
Today’s leader isn't tomorrow’s
Corti evaluates and operates the best available models as the market moves - without you rebuilding integrations every leaderboard cycle.
Economics
Pay for tokens, not seats
Per-seat coding assistants charge whether developers use them or not. Governed consumption charges for what runs, at European infrastructure cost.
One credit balance across Corti APIs<br>Same credits for development, testing, and production<br>Per-team limits and request-level reporting
EstimateDirectional
Developers with AI...