Scale

No-code AI agent platform for government and defense teams

Intermediate API
Screenshot of Scale, No-code AI agent platform for government and defense teams

What is Scale?

Scale is a productivity tool. Donovan from Scale AI is an agent platform for public sector and defense teams. A no-code Agent Factory, model comparison and evaluation tools, a library of prebuilt agents and support for classified and air gapped networks cover the build-to-deploy cycle.

Donovan is Scale AI's platform for building, testing and deploying specialized AI agents inside public sector organizations. It targets defense, intelligence and civilian government teams that need agents for workflows such as intelligence analysis, planning and report writing, and it is offered for unclassified, classified and air gapped environments. The core of the product is the Agent Factory, a no-code interface where a user writes a system prompt, attaches knowledge bases (the homepage shows examples such as GDELT event data, policy documents and an operations database), picks a language model and assembles a pipeline of connector, retrieval, reranking and generation steps. An output preview shows how the agent answers before it goes live. A model comparison view places two models side by side on metrics like factual accuracy, hallucination rate, context recall and p95 latency, so a team can choose a model for its workflow with evidence rather than guesswork. Beyond building from scratch, an Agent Arsenal lists ready-made agents and applications, including a GDELT analysis agent, exhaustive document search, a flashpoint monitoring chat, a mission analyst for operational reports and an address extraction agent. Underneath sit data ingestion through prebuilt connectors, local upload, cloud or API, agentic retrieval, guardrails and red teaming, monitoring, evaluations and a data flywheel. Agents show their reasoning and the resources they used, which supports traceability. Donovan is model agnostic and cloud agnostic. It runs as a Kubernetes containerized platform, can use a customer's preferred cloud and model provider, and Scale can fine-tune models or supply options such as Defense Llama. Authorizations listed include DISA IL4 and FedRAMP High for the unclassified and CUI GovCloud. Compared with general enterprise agent builders, Donovan competes on compliance posture and deployment reach into secure networks rather than on consumer convenience, which makes it a specialist choice for government buyers.

How do you use Scale?

  1. 1Request a demo
    Start from the Book a Demo option to talk with the Scale team about your mission, environment and security requirements. A trial request option also appears on the homepage.
    Scale — Request a demo
  2. 2Connect your data sources
    Ingest documents by local upload, cloud or API, or use prebuilt connectors to external databases such as GDELT. These feed the knowledge bases your agents retrieve from.
  3. 3Build an agent in the Agent Factory
    Write the system prompt, attach knowledge bases, choose a model and arrange the pipeline of connector, retrieval, reranker and LLM steps through the no-code interface.
  4. 4Compare and evaluate models
    Use the model comparison view to test two models on factual accuracy, hallucination rate, context recall and latency, then pick the one that suits the workflow.
  5. 5Deploy and monitor
    Choose a hosting method, embed the agent in existing tools, and track behavior through monitoring, guardrails and reasoning traces. Prebuilt agents in the Agent Arsenal can be used as a starting point.

Pros and cons

Pros

  • No-code Agent Factory lets mission teams build agents without relying on outside developersAI
  • Side-by-side model comparison reports accuracy, hallucination rate, recall and latencyAI
  • Runs on classified and air gapped networks, with DISA IL4 and FedRAMP High listed for GovCloudAI
  • Model and cloud agnostic, with Kubernetes containerized deployment and fine-tuning availableAI
  • Agents expose their reasoning steps and sources, which helps traceability and reviewAI

Cons

  • Built for government and defense buyers, so it is a poor fit for individuals or small commercial teamsAI
  • Pricing is not published, and access appears to run through a demo or sales processAI
  • Homepage lists few concrete third-party integrations beyond data sources like GDELTAI
  • Full value depends on Scale's services, such as fine-tuning, which adds vendor dependenceAI

How much does Scale cost?

Free trial

The homepage offers a Try Donovan option alongside Book a Demo, but it does not state trial length or terms.

Learn more

Integrations

Prebuilt data connectors including external databases like GDELT, document ingestion by local upload, cloud or API, integration with SGP, and embedding into existing applications. Works with a customer's preferred cloud and model provider.

Features

No-code Agent Factory, knowledge bases, pipeline builder, model comparison with accuracy and latency metrics, Agent Arsenal of prebuilt agents, data connectors, agentic RAG, guardrails and red teaming, monitoring, evaluations, reasoning traceability and model fine-tuning.

Frequently asked questions about Scale

  • Does Scale offer a free trial?
    The homepage offers a Try Donovan option alongside Book a Demo, but it does not state trial length or terms.
  • Does Scale have an API?
    Yes, Scale offers an API.
  • How do you use Scale?
    The walkthrough on this page covers 5 steps: 1. Request a demo 2. Connect your data sources 3. Build an agent in the Agent Factory 4. Compare and evaluate models 5. Deploy and monitor.
  • What platforms does Scale support?
    Scale is available on Web App.
  • What does Scale integrate with?
    Prebuilt data connectors including external databases like GDELT, document ingestion by local upload, cloud or API, integration with SGP, and embedding into existing applications. Works with a customer's preferred cloud and model provider.
  • What are the limitations of Scale?
    Built for government and defense buyers, so it is a poor fit for individuals or small commercial teams. Pricing is not published, and access appears to run through a demo or sales process. Homepage lists few concrete third-party integrations beyond data sources like GDELT.

Status

StatusActive
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Added10/7/2026

Platforms

Web App

Pricing

Paid