Sprinto vs Adept
Detailed side-by-side comparison to help you choose the right tool
Sprinto
Business AI Solutions
Sprinto is an AI-native compliance, risk, and GRC automation platform. It uses AI agents and LLM-powered workflows to automate evidence collection, vendor reviews, security questionnaires, policy alignment, and audit readiness.
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CustomAdept
🔴DeveloperBusiness AI Solutions
Adept AI licenses its ACT-1 Action Transformer technology to enterprise partners, enabling them to build AI agents that visually control any computer software using natural language commands. Through its partnership model, Adept provides screen-reading AI models, proprietary training datasets, and technical consultation for building custom agentic automation solutions—offering an alternative to traditional RPA platforms for organizations with complex, multi-application workflows.
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Sprinto - Pros & Cons
Pros
- ✓Supports 15+ compliance frameworks in a single platform, including emerging ones like ISO 42001 for AI governance
- ✓200+ native integrations across AWS, GCP, Azure, Okta, GitHub, Jira, and HRIS systems automate the bulk of evidence collection
- ✓AI agents materially reduce time spent on security questionnaires and vendor reviews, often the most manual GRC tasks
- ✓Used by 2,500+ companies across 75+ countries, with strong adoption among Series A–C SaaS companies preparing for enterprise sales
- ✓Dedicated compliance experts and CSMs are included, not gated behind premium tiers — useful for first-time SOC 2/ISO buyers
- ✓Continuous monitoring catches control drift in near real-time rather than surfacing it only at annual audit
Cons
- ✗Pricing is opaque and quote-based; no public tiers, which makes early-stage budgeting harder
- ✗Heavy customization (custom controls, non-standard frameworks) can require professional services
- ✗UI and workflows are dense and have a learning curve for non-security stakeholders like engineering managers
- ✗Some integrations are read-only and still require manual evidence uploads for niche tools
- ✗Reporting and dashboarding are functional but less polished than competitors like Drata for executive-level views
Adept - Pros & Cons
Pros
- ✓Works with any desktop or web application without requiring API integrations - ideal for legacy systems and custom enterprise software
- ✓Natural language interface makes automation accessible to non-technical business users without requiring Python, JavaScript, or RPA scripting knowledge
- ✓Advanced reinforcement learning adaptation handles interface changes and unexpected scenarios, reducing the 30-40% maintenance overhead typical of traditional RPA deployments
- ✓Backed by $415M in funding with founding team including Ashish Vaswani (transformer architecture co-inventor) and former Google/OpenAI research leads
- ✓ACT-1 model can execute multi-step workflows spanning 10+ applications in a single natural language command, eliminating manual context switching
- ✓Enterprise-grade partnership model provides deep customization and dedicated technical consultation unavailable from off-the-shelf RPA vendors
Cons
- ✗Partnership-only access model with no self-service signup or public availability—requires direct enterprise sales engagement and significant upfront investment
- ✗No transparent pricing published; licensing fees, professional services, and ongoing consultation costs are negotiated per partnership
- ✗Requires extensive screen access permissions that may conflict with zero-trust security policies and SOC 2/HIPAA compliance frameworks
- ✗Following 2024 strategic shift, key talent moved to Amazon—raising questions about long-term product roadmap continuity for partners
- ✗Visual-only automation cannot handle command-line interfaces, headless servers, or API-only backend systems common in modern DevOps workflows
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