AI Dispatch
agent · research

Paramus vs Slate

55 fields both were evaluated on, 17 of them different — including where one discloses something the other does not. Every value links to the document it came from. 38 further fields are disclosed by neither and are listed at the end rather than tabled.

Assurance

FieldParamusSlate
Explainability·
every result labeled Exact , Estimated , or Generative , so you always know what kind of number you have.
paramus.ai · checked Aug 2, 2026
Results Connected to Verified Source Get research-backed insights cited to scientific literature, patents, and technical data
slate.greyb.com · checked Aug 1, 2026
Runtime governance·
Each skill routes an agent to tested tools instead of writing and running its own Python — auditable, no arbitrary code execution.
paramus.ai · checked Aug 2, 2026
Compliance certifications·
Regulatory alignment·
Slate strictly adheres to the requirements of both SOC 2 and GDPR
slate.greyb.com · checked Aug 1, 2026

Safety

FieldParamusSlate
Data handling·
Your data never leave your walls.
paramus.ai · checked Aug 2, 2026
Slate AI is trained on proprietary GreyB data. It does not use customer data to train AI or algorithms unless explicitly requested.
slate.greyb.com · checked Aug 1, 2026

Practicality

FieldParamusSlate
Pricing model·
Commercial licenses include priority support and cloud features.
paramus.ai · checked Aug 2, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Availability·
Download the installer from paramus.ai, run the setup wizard, and start using INTENT to ask questions or run computations in natural language.
paramus.ai · checked Aug 2, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Deployment options·
Private Deployment Slate works behind your company’s firewall
slate.greyb.com · checked Aug 1, 2026
Integrations·
Paramus exposes 1,200+ chemistry tools via the Model Context Protocol (MCP), allowing AI assistants like Claude, GitHub Copilot, and Cursor to run computations through natural language.
paramus.ai · checked Aug 2, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Slate supports integration with internal research data
slate.greyb.com · checked Aug 1, 2026
Support model·
Commercial licenses include priority support and cloud features.
paramus.ai · checked Aug 2, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Industry-Best Support We’re always here to hear your concerns, email, chat or call.
slate.greyb.com · checked Aug 1, 2026

Foundation models

FieldParamusSlate
Model provider·
Slate AI is trained on proprietary GreyB data
slate.greyb.com · checked Aug 1, 2026
Fine-tuning·
Slate allows for custom taxonomies and categorization
slate.greyb.com · checked Aug 1, 2026

Ecosystem

FieldParamusSlate
Protocols supported·
Paramus exposes 1,200+ chemistry tools via the Model Context Protocol (MCP)
paramus.ai · checked Aug 2, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Multi-agent·
Predict properties, optimize reactions, and accelerate drug discovery with multi-agent workflows and secure local inference.
paramus.ai · checked Aug 2, 2026
API access·
Use the Paramus Python API to speed up your tool availability.
paramus.ai · checked Aug 2, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Impact

FieldParamusSlate
Target sectors·
High-risk domains·
Medicinal Chemistry and Process Development Learn more → Predict properties, optimize reactions, and accelerate drug discovery with multi-agent workflows and secure local inference.
paramus.ai · checked Aug 2, 2026

Disclosed by neither

Both Paramus and Slate publish nothing on these 38 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 38 identical table rows. Each is shown with its source check on the individual profiles.

  • Autonomy level
  • Human oversight
  • Goal complexity
  • Action space
  • Operating environment
  • Initiative
  • User base
  • Deployment scale
  • Documented incidents
  • Price point
  • Supported regions
  • Base models
  • Model swappable
  • Open weights
  • Context window
  • Tool use
  • Open source
  • Marketplace presence
  • Safety evaluations
  • Red teaming
  • Safety policy
  • Usage restrictions
  • Model or system card
  • Incident reporting
  • Third-party evaluations
  • Insurance available
  • Insurance carriers
  • Coverage limits
  • Indemnification
  • Liability cap
  • Audit trail
  • Tamper-evident log
  • Permission scopes
  • Outcome-based pricing
  • Settlement mechanism
  • Dispute process
  • SLA terms
  • Evaluation coverage