Alternatives to The LLM Data Company

Open-source coding agent with long-horizon execution and 300-agent swarm orchestration

Frontier code models with 5M-token context, built to automate software engineering and research.

Expert-curated reasoning data that trains frontier models to think like specialists.

Open-source synthetic data generation grounded in real tool execution traces.

Chinese enterprise AI platform with open-source GLM models, MaaS APIs, and autonomous agents

Open-weight multilingual AI with hybrid Transformer-Mamba architecture from TII.

Open-weight agentic coding models for regulated enterprises needing auditable, on-prem AI

Open-weight agentic coding models for secure, on-prem enterprise software engineering.

Open-source multimodal model with native tool use for agents.

Open-source 35B MoE with 3B active — agentic coding and multimodal reasoning on a 16 GB Mac.

Open-weight coding models for autonomous code agents—Devstral 2 and Small 2 with Mistral Vibe CLI.

StableLM is an open-source, self-hostable LLM suite from Stability AI for transparent text and code generation, with 3B and 7B Alpha models under permissive

Expert data development for frontier AI models and agents

Open-source Qwen3.6-27B LLM for agentic coding and multimodal reasoning with 50% fewer thinking tokens.

Open-source library for parameter-efficient fine-tuning of transformer models.

Open-source real-time spoken dialogue model with voice cloning for low-latency voice agents.

Open-source annotation for text, audio, images, video, and AI agents with YAML setup.

Training data that gives frontier models taste and judgment for ambiguous work.

Open Somali AI datasets, ASR models, and benchmarks for low-resource NLP.

Open-source data annotation platform for vision AI teams

Open-weight on-device AI models for private, low-latency edge intelligence—free to use under $10M revenue.

Open-source text-to-video model from a two-person lab, Apache 2.0, self-hostable.

Local-first AI workbench for teams building, evaluating, and optimizing AI systems.

Autoscaled RL data for frontier tool-use and computer-use agents.

Verifier-grounded training data for frontier AI models, built on formal proofs, simulators, and oracles.

Open-source Dutch BERT model with state-of-the-art performance for Dutch NLP.

Open-source multimodal LLM for edge, mobile, and cloud—text, images, video understanding

Open-source omni-modal LLM for personalized, long-horizon speech with vision and text input.

Hard-to-find real-world data sourced, labeled, and enriched for frontier AI training.

Open-source multilingual BERT for 11 Indic languages and Indian-English.