Train, Evaluate & Deploy
Custom Language Models in Minutes

Test 30+ models in our playground, and finetune them on proprietary data,  tailored to your needs—all without needing machine learning expertise.

Compare Leading Models Side-by-Side

Generative AI Playground

Explore 30+ state-of-the-art AI models in one unified environment. Generate outputs, monitor performance, and find the perfect foundation for your custom solution.

Instant access to open-source and proprietary LLMs

Side-by-side comparison of Claude, Llama-3, Deepseek R-1 and more

Interactive parameter tuning and system prompt testing

Evaluate model performance on bespoke evaluators

Expert ML Engineering Without the Expertise

Meet Sid: Your AI Engineering Partner

Sid is like having a senior machine learning engineer on your team 24/7. It handles all the complex technical details of machine learning development while you focus on solving your business problems. No coding or ML experience required.

Translate business problems to AI solutions

Analyze and understand your data

Select optimal model architecture

Run parallel experiments

Deploy models with one click.

Your AI Engineering Partner

Sid Works Like a Senior AI Engineer on Your Team

Collaborate with Sid just as you would with a human AI engineer. Describe your business problem, and Sid will handle all the technical complexity of building production-ready AI systems.

Expert-Level ML Engineering, No Experience Required

Skip the technical complexities and focus on what matters: solving your business problems

Multi-Layer Learning Architecture

The Technology Behind Sid

Sid combines supervised learning, reinforcement techniques, and active learning to create models that continuously improve with use. This powerful foundation ensures your AI solutions keep getting better over time.

Continuous Research Integration

Self-Improving Intelligence

Sid is constantly updated as our team delivers the latest in AI research, incorporating new techniques to keep your models at the forefront of technological advancement. This ensures you have access to fine-tuning and evaluation workflows using the most effective, up-to-date methods available.

New base models are added every month

Custom fine-tuning strategies implemented frequently

An Evolving LLM & Agent evaluation toolkit

Novel data parsing methodologies for multiple modalities

Workflow

The Complete AI Development Lifecycle

From initial idea to production deployment, our framework handles every step with minimal human intervention.

Task Identification

Sid understands your goals better than a junior Machine Learning Engineer

Natural language problem framing

Compliance guardrail integration

Performance benchmark mapping

Data Alchemy

Transform raw data into ML-ready datasets automatically

Smart synthetic data generation

Multi-source data unification

Automated data cleaning and preprocessing

Hyperparallel Training

Test multiple configurations simultaneously for optimal results

Multiple models tested in parallel

Automated hyperparameter racing

Cost-aware resource allocation

Simulation Crucible

Rigorous evaluation to ensure only the best model graduates

Adversarial testing environment

Real-world scenario simulations

Explainable performance reports

Multiple Experiments, One Optimal Solution

Hyperparallel Training Engine

Our system tests various training strategies simultaneously, identifying the perfect approach for your specific needs. This parallel experimentation accelerates development and ensures you get the best possible model.

Multi-experiment finetuning pipelines

Intelligent reward function optimization for RL fine-tuning

Automated hyperparameter tuning based on tax complexity

Cost-performance balance optimizers

Production-Ready in Minutes, Not Months

One-Click Deployment

Our system tests various training strategies simultaneously, identifying the perfect approach for your specific needs. This parallel experimentation accelerates development and ensures you get the best possible model.

Smart GPU allocation based on model requirements

Scalable API endpoints with rate limiting and monitoring

Performance and cost optimization tools

Flexible deployment options (cloud, on-prem, hybrid)

Multiple Experiments, One Optimal Solution

Active Learning System

Our continuous improvement engine captures real-world usage patterns and feedback, automatically refining your models over time. As your business grows and changes, your AI solutions adapt to maintain peak performance.

Coming Soon: RLHF Dashboard
Beta

Prioritize human evaluations where they matter most, combining automated feedback with expert review.

Preview available Q3 2023

Start with a free model test drive

Experience the difference in minutes. No credit card required to get started.