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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Deep AI systems expertise from the world’s leading institutions and enterprises.

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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.

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 / 4
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.

Fusion API
$1/M in · $5/M out
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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

FAQ

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One API for the Fusion Model.

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