Every AI request,
on the right model.

Sovereign is one gateway for your people, coding agents and apps. Each request goes to the model that does the work as well for less, so AI gets cheaper and faster, and leadership sees what it cost, what it saved and what it was for.

Talk to usSee a demo
The Sovereign dashboard: what the company saved and spent, sensitive data found, spend per model each day against what it would have cost without Sovereign, and recent sessions.

Route across

  • Anthropic
  • OpenAI
  • Google
  • Meta
  • Mistral
  • DeepSeek
  • xAI
  • Qwen

Spend less on AI
without settling for less.

Models page: each model's intelligence index, Sovereign score, calls, spend and savings.

The right model for every request

Each request goes to the model that does the work as well for less, and to a stronger one when the work needs it. Conversations stay with one provider, so caches keep paying off.

Spend per model each day, with gray bars for what the same calls would have cost without Sovereign.

Savings you can check

Every call is priced against the model it asked for. The gray is what the same calls would have cost without Sovereign.

An insight: the system prompt changes on every call, costing 10% of spend, with the fix.

Insights worth acting on

A finding appears only when a change on your side saves real money, with the fix and where it happens.

Sensitive data by person: card numbers, email addresses, API keys, phone numbers and SSNs.

Sensitive data, caught in transit

Secrets, card numbers, SSNs, emails and phone numbers are found in every request and masked before anything is stored.

Adding a model: search, with intelligence scores and prices per million tokens.

Any model, from any lab

Add models with their prices and benchmark scores, set a default for the company, and remove what you don't use.

How Sovereign learns

  1. Decision model

    Built to route

    A purpose-built decision model reads each request in context and chooses across every model you can use, in a fraction of a second.

  2. Continual learning

    It learns your work

    Sovereign measures every model on your own traffic, and keeps learning as models improve and your prompts change.

  3. Thompson sampling

    New models earn their place

    A new model gets its fair share of real work, never above your default's price, until Sovereign knows where it shines.

Benchmark

97% of Opus's accuracy for 66% less,
22% faster.

We sent 320 tasks from four public benchmarks through Sovereign the way Claude Code sends them, asking for Claude Opus 5.5 every time, and checked each answer against the dataset's own answer key or unit tests. The same tasks went straight to Opus, and to Haiku, at the same time.

Accuracy
Cost per 1,000 tasks
Median response
Always Claude Opus 5.5what the tools asked for
95.6%
$7.77
3.6 s
Sovereignasking for Claude Opus 5.5
92.8%
$2.61
2.8 s
Always Claude Haiku 5.5the cheapest model
90.6%
$0.25
2.3 s
MMLU-Pro

Claude Opus 5.590%

Sovereign86%

Claude Haiku 5.581%

GSM8K

Claude Opus 5.598%

Sovereign97%

Claude Haiku 5.598%

MATH-500

Claude Opus 5.598%

Sovereign93%

Claude Haiku 5.590%

HumanEval

Claude Opus 5.5100%

Sovereign100%

Claude Haiku 5.5100%

Run on October 21, 2026 through OpenRouter, every request streamed. Costs at list prices, reasoning included. First words arrive 43% sooner with Sovereign. How we measured

Others route, or watch.
Sovereign does both, and learns.

SovereignOpenRouterNot DiamondLiteLLMPortkey
Smart routingYesYesYesYesPartly1
Learns your workYesNoPartly2Partly3No
Verified savingsYesNoPartly4Partly5No
Automatic use casesYesPartly6Partly7Partly8Partly8
Leadership reportYesNoNoNoNo
Non-blocking budgetsYesNoNoPartly9No
Claude Code and CodexYesYesPartly10YesYes
Zero markupYesPartly11Partly12YesYes

YesPartlyNot in its documentation

Checked against each product's public documentation on October 21, 2026.

  1. Routing rules you write
  2. Trains on scored examples you upload
  3. Signals read from wording alone
  4. Savings shown; the baseline isn't documented
  5. Measured against the router's priciest model
  6. Classifier presets an admin turns on, billed per call
  7. Usage and cost, not what it's for
  8. Grouped by tags or metadata you set
  9. Per key, not per team
  10. Claude Code through a local proxy
  11. 5.5% fee on credits; 5% on your own keys past $25k a month
  12. $0.05 per million tokens routed

See how your company
actually uses AI.

01

A report for leadership

The month on one page: where AI money goes, how much of the work is about your business, and which teams get the most from it, each compared fairly on the same kinds of work. Save it as a PDF and send it.

The Report: AI spend and savings, people using AI, quality, response time, where the money goes by kind of work, and how much of people's work is about the business.
02

Use cases

What your people and apps use AI for, by day, kind of work and person, read from the requests themselves.

Conversations per day by use case, and the top use cases by share.
03

Workflows

Repeated work, like a support bot or contract review, becomes a named workflow. Confirm it, rename it or turn it off.

Workflows: sales email drafting, customer support replies, invoice extraction and contract review.
04

Sessions

Every conversation: who had it, which model answered each step and what it saved. Prompts and replies stay out of view.

One session: the person, team, spend and savings, and a timeline of each call with the model that answered.
05

Teams and budgets

Spend, savings and cache use for every team, with monthly budgets tracked as the month goes.

Teams with calls, spend, savings, cache use and monthly budget.

One URL change.
No new SDK.

  1. 01

    Create keys

    Add people, apps and teams in the dashboard. Each gets a key of its own.

  2. 02

    Change the base URL

    Point Claude Code, the Anthropic and OpenAI SDKs, or any compatible client at Sovereign.

  3. 03

    Keep working

    Requests go to the right model from the first call. Nothing else in your code changes.

Claude Code
# in your shell profile
export ANTHROPIC_BASE_URL=https://sov.solibra.ai
export ANTHROPIC_AUTH_TOKEN=sov_live_…

# then work as usual
claude
OpenAI SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://sov.solibra.ai/v1",
    api_key="sov_live_…",
)

Enterprise controls
from the first request.

People and apps hold Sovereign keys. The gateway holds the provider keys, checks every request on the way through and records what it cost.

  • A key for every person and appShown once, stored only as a hash, revoked in one click.
  • Your provider keys stay putPeople and apps never hold a provider key; the gateway does.
  • Your cloud accounts, tooConnect Amazon Bedrock, Azure AI Foundry or Google Vertex AI, and spend counts against your commitment.
  • Sensitive data, inspected inlineCredentials and personal data found in flight, masked at capture, never stored raw.
  • Prompts stay out of the dashboardAdmins see who, what for and what it cost, never the conversation.
  • You choose the modelsAdd or remove any model, and set a default for the whole company.
  • Requests don't breakIf a chosen model fails, the request goes to the model it asked for.
  • Budgets per teamA team past its monthly budget moves to cheaper models on its own.
  • Every dollar accounted forSpend and savings by person, team, app and model.
  • Answers, not waitingSimple work goes to faster models, so most requests come back sooner.

Stop guessing what AI costs.
Run it through Sovereign.

Talk to usSee a demo