ModelFusion.ai™ — Fusion as Infrastructure

Stop trusting single-model confidence.

ModelFusion™ is the API for teams shipping AI into workflows where wrong answers create real downstream cost.

Route one prompt through multiple models, detect agreement and conflict, and return one traced, verified answer.

Every AI user has had this moment:

"Is this answer actually right, or is the model just confident-sounding?"

Single-model AI outputs carry a structural risk: there's no second opinion, no conflict detection, and no provenance trail. When the model is wrong, you find out downstream. The hallucination problem is not just a model quality problem. It's a single-source-of-truth problem.

One API call. Three frontier models. One verified answer.

ModelFusion™ routes your prompt through Claude Opus 4.6, OpenAI o1-pro, and DeepSeek-V3 in parallel. A judge model then analyzes agreement, conflict, unique insights, and blind spots, and synthesizes one authoritative response with provenance.

Step 1

Proposers

Three frontier models process your prompt in parallel

Step 2

Analysis

Judge model identifies agreement, conflict, and blind spots

Step 3

Synthesis

One authoritative response with full source attribution

Step 4

Verification

Provenance trail and confidence scoring for every claim

Vendor-agnostic by design

Works with cloud frontier models, private endpoints, and self-hosted inference stacks. The fusion engine is decoupled from model origin.

Air-gapped enterprise deployment

Deploy via Docker inside your own infrastructure boundary. Keep fusion logic, logs, and storage inside your environment.

Transparent cost and provenance

Every response includes cost breakdown, latency by model, token usage, and paragraph-level source attribution.

REST API. JSON or SSE streaming. Ten minutes to first fusion.

Request

curl -X POST https://modelfusion-api.vercel.app/api/fusion \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Analyze this contract for risk",
    "preset": "legalfusion",
    "models": ["opus-4.6", "o1-pro", "deepseek-v3"]
  }'

Response

{
  "id": "fusion_abc123",
  "answer": "The contract contains three primary risk areas...",
  "confidence": 0.94,
  "sources": [
    { "model": "opus-4.6", "agreed": true },
    { "model": "o1-pro", "agreed": true },
    { "model": "deepseek-v3", "agreed": true, "unique_insight": true }
  ],
  "cost_usd": 0.042,
  "latency_ms": 2847
}

Live in production. In use by early integration partners.

ModelFusion™ is running in real Telegram bot workflows today, integrated with Hermes Agent and OpenClaw for first-tier testing.

Frequently asked questions