⚖️Side-by-Side Comparison

Agiloft vs Modulos: Which is Better in 2026?

We've compared 2 tools across pricing, features, ratings, and reviews to help you make an informed decision. No paid placements — just facts.

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Feature
Agiloft logo
Agiloft

Legal & Compliance

Modulos logo
Modulos

Legal & Compliance

RatingNo reviews yetNo reviews yet
Pricing
  • Astra:Free
  • Agiloft CLM:Contact Sales

as of Oct 3, 2026

  • Contact for Pricing:Contact Sales

as of Sep 7, 2026

Pricing ModelContact SalesContact Sales
Free Plan
Free Trial
API Available
Verified
Founded1991—
HQRedwood City, California, USSwitzerland
Team Size201-500Medium Business, Large Enterprises
Platforms——
Top Integrations
SalesforceSAPOracleDocuSign+1 more
GitHubBitbucketAWSAzure+9 more
Key Features
  • No-Code Customization
  • Pre- and Post-Signature Management
  • Advanced Search & AI Extraction
  • Real-Time Dashboards & Reporting
  • Astra Contracts AI
  • +3 more
  • Risk Quantification
  • One Control, Many Frameworks
  • Scout & Agent Tests
  • Governance
  • One Governance Graph
  • +1 more
Description

Agiloft is a contract lifecycle management (CLM) platform that centralizes, automates, and governs every stage of the contract process, from request and negotiation through execution, obligation tracking, and renewal. Its no-code architecture lets teams configure data models, workflows, and approval chains without technical support, while its embedded AI (branded Astra) extracts key terms and obligations, flags risk and compliance gaps, and turns contracts into searchable business intelligence. It offers real-time dashboards and reporting across both pre-signature and post-signature stages. Agiloft has raised $45M in total disclosed funding and has around 405 employees (Tracxn, verified 2026-10-03).

Modulos is an AI governance platform that automates documentation, risk assessment, and continuous compliance evidence for AI systems against frameworks like the EU AI Act, NIST AI RMF, and ISO 42001. It uses an AI agent to monitor deployed models and adjust controls as regulations change, integrating with existing MLOps and LLMOps pipelines. It targets compliance, risk, and AI teams in regulated industries, particularly in the EU and Switzerland.