ALEXIS Fusion

A frontier fusion model

An agentic LLM architecture that fuses specialist models, consensus reasoning, and verification into one autonomous inference layer. Built to beat leading frontier models at a lower cost and eliminate single-vendor dependency through one API.

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Frontier-quality answers, verified, at one fifth the price. One API, no retraining.

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What is ALEXIS Fusion?

A frontier fusion model, delivered through one API.

ALEXIS Fusion is a frontier fusion model delivered through one API. It autonomously selects and coordinates specialist LLM models, runs competing reasoning paths, verifies what can be checked, and produces a final answer with higher confidence than single-model inference. For enterprise use cases, every critical response can include a cryptographic trust receipt showing how the answer was evaluated.

Inside one call

  1. 01
    Your question
    One API call, drop-in.
  2. 02
    Private LLM pool
    Specialist models solve blind and in parallel.
  3. 03
    Computation layer
    Claims become executable checks wherever possible.
  4. 04
    Consensus engine
    Independent agreement decides what is certified.
  5. 05
    Verification add-on · optional
    Optional cryptographic trust receipt.
  6. 06
    Answer + trust receipt
    The value, and the proof it was checked.

ALEXIS Verifier

Every answer checked. Every check signed.

The ALEXIS Verifier is an optional add-on that checks an answer before you rely on it. Independent judges return a verdict, and every result carries a signed receipt showing how it was evaluated.

PASSFAILUNVERIFIABLE
  • Judge panels
    One judge or a Fusion panel of several models, decided by majority, any or unanimous vote. Use the ALEXIS Fusion judge or bring your own providers.
  • Signed receipts
    Every verdict comes with a cryptographically signed receipt that anyone can check.
  • Web search, bias and repair
    Pull outside evidence, flag biased spans, and repair failed claims. Switch each on per run.
  • Policies
    Set how strict verification is for your organization, from Standard to Maximum.
  • Human Review
    Anything rejected or unverifiable goes to a review queue, assigned to a reviewer who approves, repairs or rejects it. Every decision feeds back into the Verifier.
  • Evidence Library
    Upload your organization's own documents. Answers are checked against immutable snapshots of them.

Post-cutoff pilot benchmark

Benchmarked blind.

See how ALEXIS Fusion compares on accuracy, cost, and latency. The full method and downloadable evidence live in the case study.

Read the full case study
Accuracy, cost & latency1 / 5
Combined benchmark of accuracy, cost, and latency for ALEXIS Fusion and eleven comparator models.

Three bars per model on the same private pilot. Higher accuracy is better; lower cost and latency are better.

Pricing

Measured, not estimated.

The playground prices the same input and output token counts across ALEXIS Fusion and frontier comparators.

Watch the 3-minute demo

Fusion API
$1/M in · $5/M out
Sign up for API

Verification receipts can be added when the use case needs signed proof.

GPT-5.5
$5/M in · $30/M out
Opus 4.8
$5/M in · $25/M out
Fable 5
$10/M in · $50/M out
Verifier add-on
$0.005 per unit
Try the Verifier
  • 1 unit per judge on the panel
  • +1 unit for High strictness, +2 for Maximum
  • +1 unit each for web search, bias scoring and repair
  • Exact computations: a flat 1 unit

Example: one judge is 1 unit ($0.005). A three-judge panel with web search is 4 units ($0.02).

Judges that fail to return a verdict are not charged.

FAQ

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One API for the Fusion Model.

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