Forefront

Forefront is a web and API platform for developers and technical teams that need to fine-tune and deploy open-source language models on proprietary data.

Key capabilities include:

• Fine-tuning on custom datasets, with dataset upload and management for training and validation
• Model evaluation and training insights, including validation results, built-in loss charts, and automated evals (for example MMLU, TruthfulQA, MT-Bench, ARC, HumanEval)
• Inference via API, with chat and completion endpoints plus a Playground for testing before integration
• Team collaboration, including multi-member support with role-based access

Pricing: Subscription plus usage-based token fees. Free ($0/month, 1 member, 3 fine-tuned models, 10 KB max dataset), Team ($99/month, 5 members, 10 fine-tuned models, 1 MB max dataset), Enterprise (custom pricing, unlimited members and models, 1 GB max dataset). Inference costs $0.001 per 1k tokens and fine-tuning costs $0.008 per 1k tokens. All plans include $20 in free credits.

What makes it notable: it focuses on open-source model customization and deployment without requiring teams to build and operate GPU infrastructure from scratch, and it supports exporting models for teams that prefer self-hosting or another provider.