Enterprise AI Platforms for Org-Wide Deployment
Enterprise AI platforms divide by deployment shape, not by feature list. Glean and Moveworks arrive finished: connect the systems, and staff get answers. Dify, Together AI and Dust AI are substrate for teams that will build the application themselves. Weights & Biases sits under both, tracking what models do once they are live. This category holds eight tools, four freemium and four paid. Decide first whether you are buying an outcome or a foundation, because the security review, the budget line and the staffing all follow from that.
8 tools · Catalog updated
Enterprise AI tools
Do you buy a finished copilot or build on a platform?
Settle this before the first demo. Buying finished means Glean, which connects company apps and knowledge into one searchable hub, or Moveworks, which resolves IT, HR and finance requests through conversational AI. Value shows up in weeks, and the real work is integration and change management. Building means Dify, an open-source platform for LLM apps, agents and workflows with any model, or Together AI for running and fine-tuning open models on your own inference budget. Dust AI sits between them: model-agnostic, aimed at deploying custom agents across the tools and data a company already has. Building costs engineers and buys control over the model and the data path.
What will security and procurement ask you?
The same short list, every time. Where does company data sit while the model runs, who at the vendor can reach it, and can the deployment be pinned somewhere specific. Which model produces the answer, and can it be swapped when the contract or the price moves. Model-agnostic and open-source options such as Dust AI and Dify answer that swap question more easily than a closed copilot does. Then the evidence question: what proves the system still behaves after an update. That is the argument for Weights & Biases, which tracks experiments, versions models and monitors them in production. Bring the monitoring story to the review rather than after it.
Frequently asked questions
- How many tools are in this category?
- Eight. Four are freemium and four are paid, with no fully free option. They span finished enterprise copilots, LLM application platforms, model hosting and fine-tuning, data labeling and evaluation, and MLOps monitoring. Most organizations end up with one tool from the deployment layer and one from the monitoring layer.
- Can we start on a freemium tier at enterprise scale?
- For a pilot, often yes. Dify, Dust AI, Together AI and Weights & Biases all have freemium tiers, which is enough to prove a workflow with a small group. The paid platforms, including Glean, Moveworks, Cohere and Scale AI, expect a contract first, so plan procurement time into the evaluation.
- Where does model evaluation fit?
- Before rollout and continuously after it. Scale AI covers data labeling, evaluation and AI development, which matters when you are training or fine-tuning on your own data. Weights & Biases covers the running system: experiment tracking, model versioning and production monitoring. Neither replaces a human review of the answers your staff actually receive.