Super.AI

Name: Super.AI
Brand: Super.AI

Process 100% of complex documents

Est 2017|Valuation $71.5M|Raised $33.6M|13 Ref Customers

LinkedIn 6K|Web traffic 9K|FTEs 41|HQ San Francisco, California, US

MarketsInvoice Data Capture & Processing

01Competitive Landscape

Narrative analysis

Where Super.AI differentiates (vendor-claimed): - Decomposition of complex documents with routing to AI, human reviewers, and software workers - Use of HITL to maintain processing coverage - Workflow builder designed for plain-language definitions and template-based starts Where larger suites may be preferred: - UiPath and Automation Anywhere can be selected when organizations want a single standard platform for broader automation (desktop + attended/unattended bots + governance + marketplace) - ABBYY is often chosen when procurement teams prioritize document AI pedigree and analyst recognition for vendor maturity assessments Customer decision dynamics (inferred): - Buyers may select Super.AI when document variability is high and the buyer prefers a managed accuracy outcome that includes HITL - Buyers may select UiPath/Automation Anywhere when automation scope extends beyond documents and a unified RPA+IDP operating model is desired - Buyers may select ABBYY when seeking deep document AI expertise and analyst-backed vendor positioning

	Super.AI	UiPath (Document Understanding)	ABBYY (Vantage/Document AI)
Starting Price	Not public (custom quote)	Typically enterprise quote-based	Typically enterprise quote-based
Best fit for	Complex document workflows that integrate HITL, validation, and orchestration	Organizations standardized on UiPath RPA seeking integrated IDP	Enterprises seeking mature document AI capabilities with broad analyst recognition
Key Strength	HITL model marketed to support high coverage and a plain-language workflow builder with validation sync	Tight RPA integration, large ecosystem and deployment patterns	Longstanding IDP focus and market recognition in document technologies
Key Weakness	Limited transparent pricing; limited independent review volume; vendor-risk signals from employee sentiment	May require CoE governance and skilled setup for complex cases	Potentially higher cost/complexity and perceptions of legacy product models

01Competitive Landscape

Narrative analysis

Where Super.AI differentiates (vendor-claimed):

Decomposition of complex documents with routing to AI, human reviewers, and software workers
Use of HITL to maintain processing coverage
Workflow builder designed for plain-language definitions and template-based starts

Where larger suites may be preferred:

UiPath and Automation Anywhere can be selected when organizations want a single standard platform for broader automation (desktop + attended/unattended bots + governance + marketplace)
ABBYY is often chosen when procurement teams prioritize document AI pedigree and analyst recognition for vendor maturity assessments

Customer decision dynamics (inferred):

Buyers may select Super.AI when document variability is high and the buyer prefers a managed accuracy outcome that includes HITL
Buyers may select UiPath/Automation Anywhere when automation scope extends beyond documents and a unified RPA+IDP operating model is desired
Buyers may select ABBYY when seeking deep document AI expertise and analyst-backed vendor positioning

	Super.AI	UiPath (Document Understanding)	ABBYY (Vantage/Document AI)
Starting Price	Not public (custom quote)	Typically enterprise quote-based	Typically enterprise quote-based
Best fit for	Complex document workflows that integrate HITL, validation, and orchestration	Organizations standardized on UiPath RPA seeking integrated IDP	Enterprises seeking mature document AI capabilities with broad analyst recognition
Key Strength	HITL model marketed to support high coverage and a plain-language workflow builder with validation sync	Tight RPA integration, large ecosystem and deployment patterns	Longstanding IDP focus and market recognition in document technologies
Key Weakness	Limited transparent pricing; limited independent review volume; vendor-risk signals from employee sentiment	May require CoE governance and skilled setup for complex cases	Potentially higher cost/complexity and perceptions of legacy product models