DataRobot vs DeepKeep
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified September 2026.
https://aicompliancevendors.com/compare/datarobot-vs-deepkeepDataRobot
Meet the only agent workforce platform built for outcomes — not endless pilots.
DataRobot is an enterprise AI platform that provides end-to-end automation for building, deploying, monitoring, and governing predictive, generative, and agentic AI models. Key differentiators include comprehensive AI governance with built-in support for frameworks like EU AI Act and NIST AI RMF, real-time monitoring and intervention, automated compliance documentation, and a centralized registry for all AI assets. It targets large enterprises in sectors like financial services, healthcare, and manufacturing needing scalable ML ops and risk management. Recognized as a leader in Gartner Magic Quadrant for DSML platforms and #1 in governance use case by Gartner Critical Capabilities.
DeepKeep
End-to-end AI security platform for GenAI applications, agents, and models across the AI lifecycle.
DeepKeep positions itself as an end-to-end AI security platform that protects generative AI applications, agents, models, users, and developers throughout the AI lifecycle. Coverage per the vendor extends across model risk, prompt/response security, and application-layer protection for LLM-backed systems.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: None documented in common.
- Only DataRobot covers: Colorado AI Act, EU AI Act, NIST AI RMF, NYC LL 144
- Shared capabilities: 0 of 11 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | DataRobot | DeepKeep |
|---|---|---|
| Founded | 2012 | Undisclosed |
| Headquarters | Boston, United States | Israel |
| Employees | 1000+ | Undisclosed |
| Funding | $1B total (Series G, undisclosed date) | Undisclosed |
| Pricing | Contact for pricing | Contact for pricing |
| Website | Visit site | Visit site |
Framework coverage
| Framework | DataRobot | DeepKeep |
|---|---|---|
| Colorado AI Act | Comprehensive | — |
| EU AI Act | Comprehensive | — |
| NIST AI RMF | Comprehensive | — |
| NYC LL 144 | Comprehensive | — |
Capabilities
| Capability | DataRobot | DeepKeep |
|---|---|---|
| AI Model Inventory | ✓ | — |
| Audit Evidence Collection | ✓ | — |
| Bias & Fairness Testing | ✓ | — |
| Data Lineage | ✓ | — |
| Drift Detection | ✓ | — |
| Explainability | ✓ | — |
| LLM Evaluation | ✓ | — |
| LLM Red Teaming | ✓ | — |
| Model Monitoring | ✓ | — |
| Policy Management | ✓ | — |
| Risk Assessment Workflow | ✓ | — |
Industries served
DataRobot
- Financial Services
- Healthcare
- Manufacturing
- Insurance
- Government & Public Sector
- SaaS & Technology
DeepKeep
- None listed
Integrations
DataRobot
- NVIDIA
- Snowflake
- Apache Airflow
- AWS SageMaker
- Azure ML
- Databricks
- MLflow
- OpenAI API
DeepKeep
- None listed
Frequently asked
What is the difference between DataRobot and DeepKeep?+
DataRobot is Meet the only agent workforce platform built for outcomes — not endless pilots; DeepKeep is End-to-end AI security platform for GenAI applications, agents, and models across the AI lifecycle. The full side-by-side covers framework coverage (0 shared, 4 unique to DataRobot, 0 unique to DeepKeep), pricing model, and capability overlap.
How do DataRobot and DeepKeep pricing compare?+
DataRobot: Pricing not publicly disclosed. DeepKeep: Pricing not publicly disclosed.
Which AI compliance frameworks do DataRobot and DeepKeep both support?+
There is no published overlap in framework coverage between DataRobot and DeepKeep based on each vendor's own materials.
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.