Platform Features

Every primitive you need
to build production AI.

01 / Inference Engine

Sub-20ms latency.Not a benchmark. A guarantee.

Our inference engine combines speculative decoding with custom attention kernels to deliver GPT-4-class response times at 40% of the typical infrastructure cost. Every deployment comes with a contractual latency SLA.

  • Speculative decoding
  • Custom CUDA kernels
  • Dynamic batching
  • Automatic quantization
  • Multi-region routing
<20ms
P95 latency
3×
Throughput gain
axon/inference.ts
// 01 / Inference Engine
import { axon } from '@axon/sdk'

const result = await axon.inference({
  model: "llama-3-70b",
  config: {
    latency_target_ms: 20,
    auto_scale: true
  }
})

// → <20ms P95 latency
02 / MLOps Pipeline

Every training run.Fully observable.

From dataset versioning to automated drift detection, AXON's MLOps layer gives you complete visibility into your model lifecycle — without the ops burden of stitching tools together.

  • Experiment tracking
  • Model registry
  • A/B deployment
  • Data drift detection
  • Auto-rollback on regression
99.4%
Pipeline success rate
4 min
Mean deploy time
axon/mlops.ts
// 02 / MLOps Pipeline
import { axon } from '@axon/sdk'

const result = await axon.mlops({
  model: "llama-3-70b",
  config: {
    latency_target_ms: 20,
    auto_scale: true
  }
})

// → 99.4% Pipeline success rate
03 / Vector Database

Semantic search thatnever goes stale.

ANN indexes with built-in embedding drift detection. When your upstream model retrains, AXON detects the distribution shift and alerts your team before users feel the quality drop.

  • 100M vector capacity
  • HNSW + IVF indexes
  • Embedding drift alerts
  • Hybrid keyword + semantic
  • Real-time upserts
98.7%
Recall@10
<5 min
Drift detection lag
axon/vector.ts
// 03 / Vector Database
import { axon } from '@axon/sdk'

const result = await axon.vector({
  model: "llama-3-70b",
  config: {
    latency_target_ms: 20,
    auto_scale: true
  }
})

// → 98.7% Recall@10
04 / Evaluation Suite

10,000 test cases.Overnight. Always.

Ship with confidence, not hope. AXON's eval framework lets you run comprehensive model evaluations — automated, reproducible, and connected to your CI/CD pipeline.

  • Custom eval metrics
  • Human feedback integration
  • Regression tracking
  • CI/CD integration
  • Batch evaluation API
10K/night
Eval throughput
96%
Regression catch rate
axon/evals.ts
// 04 / Evaluation Suite
import { axon } from '@axon/sdk'

const result = await axon.evals({
  model: "llama-3-70b",
  config: {
    latency_target_ms: 20,
    auto_scale: true
  }
})

// → 10K/night Eval throughput
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