Compress AI Models.Deploy Anywhere.
Condense compresses large models into small, deployable networks — automatically.
Big Models.
Bigger Problems.
Today's neural networks are too large, too slow, too expensive.
Latency
Models take too long to respond
Cost
GPU inference bills skyrocket
Hardware
Cannot deploy to edge devices
Condense reduces models from billions to millions of parameters — while keeping their accuracy.
Distillation-as-a-Service
Upload your model. Choose your objective. Get a distilled, deployable version — automatically.
Upload Model
Provide your model or Hugging Face link
Choose Objective
Select target size, latency, or hardware
Distillation Runs
Automated distillation, pruning, quantization
Download Model
Get optimized model in your format
Export Formats
Proven Performance
Real-world results on production hardware.
Model Size
Latency (A100)
Inference Cost
30 Seconds to Value
Install, compress, deploy. It's that simple.
# Install CLI
npm install -g condense-cli
# Login
condense login
# Compress a model
condense compress llama-3-8b --target-size 800M --output ./modelBuilt for Production
Enterprise-grade compression with the simplicity of a service.
Custom Compression Pipelines
Tailor pruning, quantization, and distillation strategies to your specific needs.
Automatic Benchmarking
Real-time accuracy, latency, and throughput metrics for every compressed model.
Hosted Model Monitoring
Monitor accuracy and performance in one dashboard. Track drift and degradation.
CLI + SDK Interface
Integrate distillation into your CI/CD. Python SDK for programmatic access.
Quantization Modules
INT8, INT4, and mixed-precision quantization with minimal accuracy loss.
GPU-Accelerated Jobs
Scale distillation workloads with on-demand GPU clusters. Fast iteration cycles.
Simple, Transparent Pricing
Choose the plan that fits your compression needs.
Starter
For small teams and early-stage startups
- 10 compression jobs/month (per run)
- Additional jobs: $20/run
- Standard distillation pipeline
- Basic benchmarking
- Community support
Professional
For growing teams with production workloads
- 50 compression jobs/month (per run)
- Additional jobs: $15/run
- Custom compression pipelines
- Advanced benchmarking & monitoring
- Priority support
- CLI + Python SDK
Enterprise
For organizations at scale
- Unlimited compression jobs
- Dedicated infrastructure
- Custom model architectures
- SLA & dedicated support
- On-premise deployment
- Advanced security & compliance
The Path Forward
Building the future of neural network compression.
- Knowledge Distillation
- Structured Pruning
- Post-Training Quantization
- Hugging Face Integration
- LoRA Compression
- Multi-Teacher Distillation
- Quantization-Aware Training
- Custom Architecture Search
- RL-based Distillation
- Synthetic Data Generation
- Neural Architecture Search
- Edge Device Optimization
- Self-Play Compression
- Continuous Learning
- Multi-Modal Compression
- Zero-Shot Distillation
Stay Updated.
Join the Community.
Get the latest updates on model compression research and features.