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Donovan | Scale AI logo

Donovan | Scale AI

Paid

Build, deploy, and govern mission-ready AI agents—secure, explainable, and fast.

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#secure#cloud-agnostic#platform#public sector#AI#defense#government#no-code#Kubernetes#data integration#testing#evaluation#Department of Defense#GovCloud#FedRAMP#auditability#high-stakes
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Type
Saas
Founded
2016
Company
Scale AI
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About Donovan | Scale AI

Donovan by Scale AI is a secure, model- and cloud-agnostic platform designed specifically for public sector organizations to build, deploy, and govern mission-ready AI agents. It supports defense and government workflows across unclassified, GovCloud, IL4, FedRAMP High, and classified or air-gapped environments. The platform offers no-code customization through an Agent Factory, deep data integration via prebuilt connectors, rigorous testing and evaluation of models, and transparent reasoning to ensure accountability. Its Kubernetes-based architecture includes guardrails, monitoring, and auditability for scalable, accountable AI operations in high-stakes missions. Donovan is part of Scale AI's broader suite of AI solutions for the public sector, emphasizing security, explainability, and speed.

Key Features

No-code AI agent customization
Agent Factory for connecting tools and systems
Secure data access via local uploads, cloud connectors, and APIs
Integration with external databases like GDELT
Model-agnostic support for closed and open-source models
Cloud-agnostic deployment options
Kubernetes-based, containerized architecture
Rigorous testing and performance evaluation frameworks
Model comparison and benchmark tooling
Security guardrails and policy enforcement

Pros & Cons

Pros
  • Designed for high-security environments including classified and air-gapped networks
  • No-code interface enables rapid agent customization without deep technical expertise
  • Model-agnostic approach allows selection of best-fit models for specific missions
  • Built-in testing and evaluation frameworks support DoD AI readiness goals
  • Prebuilt agents and data connectors accelerate deployment for common workflows
  • Kubernetes-based architecture provides scalability and operational consistency
Cons
  • Pricing requires contacting sales; no publicly available pricing information
  • Primarily targeted at public sector and defense organizations, limiting broader commercial applicability
  • Free tier or trial availability should be verified; appears to require booking a demo
  • Dependence on Scale AI's ecosystem may create vendor lock-in for some users
  • Full feature set and model availability may vary by security classification level

Best For

Defense operations planners: Run course-of-action analysis and generate briefings with transparent reasoning on IL4 or air-gapped networks.Intelligence analysts: Fuse multi-source intelligence, query GDELT, and perform RAG over secure document stores with traceable outputs.Mission operations centers: Coordinate incident response and automate playbooks across ticketing and communications tools with full audit trails.Logistics and sustainment teams: Optimize maintenance and supply routing by integrating ERP and sensor data with monitored, governed agents.Acquisition and procurement: Automate requirement drafting, market research, and compliance checks with guardrails and model comparisons.Cybersecurity teams (SOC): Triage alerts, summarize incidents, and simulate adversaries with redteaming and explainable reasoning in GovCloud.Public safety and emergency management: Create live situation reports and resource allocation plans using prebuilt data connectors and transparent traces.Policy and legal units: Accelerate FOIA processing and document review with secure access controls, explainability, and auditing.Training and readiness leaders: Evaluate agent and model performance against mission metrics using built-in testing frameworks and evaluations.Enterprise IT and data offices: Standardize secure data integration, API orchestration, and multi-cloud deployment with Kubernetes support.

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