What skan.ai does

Skan AI, founded in 2018 and headquartered at 101 Jefferson Dr, Menlo Park, operates an enterprise process intelligence platform that continuously captures real work execution through lightweight desktop sensors across mainframe, legacy desktop, VDI, web, and office applications — no backend integrations required. Observations are distilled into a Context Graph of Work and dynamic Agent Operating Procedures (AOPs) using a proprietary Neurosymbolic Fusion architecture that combines Neural AI for pattern recognition with Symbolic AI for rule-based reasoning, and are formalized through the Agentic Ontology of Work (AOW) and Agentic Business Context Foundation (ABCF) frameworks. The platform's stated purpose is to provide AI agents with the operational context — exceptions, workarounds, tribal knowledge — that traditional enterprise systems miss.

The platform spans Process Intelligence, Skan AI Agents, Engineering Intelligence, Process Discovery, Automation Explorer, and ProcessDoc (free trial). Skan serves Fortune 500 enterprises primarily in financial services (4 in 5 top US banks, 7 of top 10 US banks as customers), insurance (3 in 5 top US insurers, 2 in 3 top global insurers), healthcare (2 in 5 top US healthcare), and high tech, with additional reach into logistics, manufacturing, retail/CPG, telecom, energy, and shared services. Named customers include Unum, Protective, Mitie, Capita, a Fortune 100 financial services firm, and multiple F500 case-study clients. Documented customer outcomes include 30–45% cycle time reductions, 20–35% workforce productivity gains, and $10M–$28M in annual savings identified within 3–8 weeks of observation, with cumulative client savings cited above $340M.

The company monetizes through quote-based enterprise SaaS subscriptions on annual billing, sold via a direct enterprise field sales motion with demonstration-based evaluation; no public pricing is disclosed. Skan raised a $40 million Series B in April 2022 led by Dell Technologies Capital, with participation from Cathay Innovation, Citi Ventures, Bloomberg Beta and others; third-party estimates put ARR at $22.2 million as of December 2025. In October 2025, Skan acquired Metaculars Inc. to accelerate its agentic AI roadmap, and in 2026 launched the AOW and ABCF frameworks, partnered with Vibrant Capital for GCC and European expansion, and entered a research collaboration with the University of Missouri. The company is led by co-founder and CEO Avinash Misra, co-founder and CPO Manish Garg, Chief Customer Officer Vinay Mummigatti, and CRO Aman Rangrass, with 11–50 employees reported.

Name

skan.ai

Legal name

Skan, Inc.

Website

https://skan.ai

Company type

Private

Founded year

2018

Operating status

Operating

Headcount range

251–500 employees

Short description

Skan AI operates an enterprise process intelligence platform that captures real work execution via desktop telemetry and uses a Neurosymbolic Fusion AI architecture to build AI agents grounded in observed operations. It serves Fortune 500 organizations across financial services, insurance, healthcare, and high tech via a direct enterprise SaaS sales motion.

Ownership category

akta.pro rank

Product category

Enterprise Process Intelligence / Agentic AI Platform

NAICS

Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

iBPMS (Intelligent BPM Suites) & Process Automation Suites (HDAEAHAG)

akta.pro secondary industries

Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE)

Keywords

• Process intelligence
• AI agents
• Task mining
• Workflow automation
• Process mining

Headquarters

HQ city

Menlo Park

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Enterprise SaaS Subscription: Subscription-based pricing for process intelligence and AI agent platform targeting Fortune 500 enterprises. Platform deployed for operational transformation with typical enterprise contract values.

Pricing tiers

Go-to-market motion3 records

Distribution channels1 record

Marketing channels12 records

Core offering

Skan AI provides an enterprise process intelligence platform that continuously observes how work actually gets done across all enterprise applications via desktop telemetry. The platform builds a Context Graph of Work and auto-generates Agent Operating Procedures (AOPs) that govern governed AI agents capable of executing complex, high-impact enterprise workflows without integrations.

Product overview

Skan AI offers a unified enterprise process intelligence platform organized around a Context Graph of Work architecture. The platform consists of core capabilities including Process Intelligence for discovering and analyzing workflows through continuous screen-level observation, Skan AI Agents for autonomous execution of complex workflows, and supporting modules like Engineering Intelligence, Process Discovery, Automation Explorer, and ProcessDoc (free trial). The platform is grounded by foundational data layers including the Context Graph of Work and Work Context Graph, which continuously capture how work actually happens across every application. Key frameworks include the Agentic Ontology of Work (AOW) — a standardized semantic framework for agentic automation — and the Agentic Business Context Foundation (ABCF) for capturing operational context. The platform employs a Neurosymbolic Fusion architecture combining Neural AI for pattern recognition with Symbolic AI for rule-based reasoning, outputting dynamic Agent Operating Procedures (AOPs) that govern AI agent execution. The platform enables enterprises to observe work, distill observations into actionable intelligence, deploy governed AI agents, and continuously monitor performance.

Differentiator

Problem solved

Functional benefit

Brands

• Agentic Business Context Foundation (ABCF): Technical framework designed to capture operational context including human reasoning, exceptions, and workarounds that traditional enterprise systems miss, enabling AI agents to execute autonomously in complex environments
• Agentic Ontology of Work (AOW)
• Neurosymbolic Fusion Architecture
• Context Graph of Work

Products and services

• Skan AI Platform (Context Graph of Work) Core enterprise platform delivering continuous, screen-level observation of work execution across all enterprise applications and a living system of record for process execution that serves as the foundational context layer for AI agents.
• Process Intelligence Product offering for discovering and analyzing business processes through continuous behavioral observation, identifying bottlenecks, inefficiencies, and automation opportunities across enterprise operations without backend integrations.
• Skan AI Agents Autonomous AI agent platform that executes complex, multi-step workflows grounded in real operational context. Agents are auto-generated from observed human behavior using a Neurosymbolic Fusion architecture, enabling governed, ready-to-run agents that adapt to actual work execution.
• Engineering Intelligence Process intelligence module focused on engineering and software development operations. Captures developer workflows and task patterns to identify optimization and automation opportunities within technical teams.
• Agentic Ontology of Work (AOW) Standardized semantic framework for describing, coordinating, and governing work across humans and AI agents in enterprise environments. Formalizes core entities including Agents, Skills, Intents, Contexts, Policies, Memory, Confidence, and Outcomes to enable interoperability and explainability in agentic automation.
• Agentic Business Context Foundation (ABCF) Technical framework that captures operational context including human reasoning, exceptions, and workarounds that traditional enterprise systems miss, providing AI agents with the contextual understanding needed to execute autonomously in complex environments.
• ProcessDoc (Free Trial) Free trial / sandbox offering that lets prospective users experience Skan's process documentation capabilities.

Quantifiable outcome

• 30-45% cycle time reduction for high-volume processes like claims adjudication and loan origination
• +6 more outcomes

Named customers11 records

Segments10 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability10 records

Feature8 records

Partnerships

Three partnerships are on record, tiered strategic and minor.

• University of MissouristrategicStrategic or Co-development Partner · 10 June 2026Strategic research collaboration to study how knowledge work is performed in enterprise environments and how AI systems can better understand and replicate human work processes. Collaboration aims to create a 'Context Graph of Work' using real-world execution data, exploring human judgment in hybrid human-AI workflows, decision-making systems, and AI agent governance frameworks.
• Vibrant CapitalstrategicGTM or Marketing Partner · 10 February 2026Skan.ai partnered with Vibrant Capital as a Growth Partners Network launch partner. Vibrant Capital is an operator-led investment and company-building platform focused on scaling AI in real-economy workflows. Partnership targets financial services, healthcare, industrial, transportation, and business services sectors across US, Europe, and GCC countries.
• CouchbaseminorGTM or Marketing Partner · 10 February 2026Couchbase and Skan.ai were both launch partners in Vibrant Capital's Growth Partners Network initiative, targeting enterprise AI adoption across multiple sectors.

Scale indicators18 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Celonis: Celonis is the leading pure-play process intelligence and process mining platform, directly competing with Skan's process discovery and analysis capabilities for large enterprise customers. It pioneered the event-log-based process mining category that Skan explicitly contrasts its observation-first approach against.
• Soroco: Soroco offers a work graph platform using desktop telemetry to discover, analyze, and improve enterprise processes — directly comparable to Skan's Context Graph of Work and zero-integration capture approach. Both target large enterprise operations with AI-driven process insights.
• ABBYY Timeline: ABBYY Timeline is a task mining and process intelligence platform that captures user desktop activity to reconstruct processes, directly overlapping with Skan's process discovery and analysis capabilities. Both are named in the Gartner Market Guide for Task Mining Tools.

Broad incumbents

• UiPath: UiPath is a leading RPA platform that bundles process mining (UiPath Process Mining) and task mining capabilities as part of a broader automation suite. It competes with Skan in enterprise process intelligence while offering adjacent automation, document understanding, and AI capabilities.
• SAP Signavio: SAP Signavio is a process transformation suite acquired by SAP that combines process mining, modeling, and analytics for enterprise customers. It competes with Skan for enterprise process intelligence deals, particularly within SAP's installed base of large enterprises.
• Microsoft (Power Automate Process Mining): Microsoft offers process mining and task mining capabilities within the Power Platform, leveraging its enterprise software distribution and integration with the Microsoft 365 ecosystem. Microsoft also acquired FortressIQ, a direct task mining competitor to Skan.
• IBM Process Mining: IBM Process Mining is part of IBM's broader automation and AI portfolio (including watsonx), targeting large enterprise customers in regulated industries. It competes with Skan in financial services, insurance, and other verticals where IBM has an established enterprise presence.
• Pegasystems: Pega provides intelligent business process management, low-code automation, and AI-driven decisioning for enterprise customers. It overlaps with Skan's process intelligence and automation vision while operating as a broader enterprise application platform.
• Appian: Appian is a low-code process automation and BPM platform with built-in process mining capabilities, targeting regulated industries including financial services and government. It competes with Skan for enterprise process transformation budgets.

Emerging players

• Aisera: Aisera is an enterprise AI agent platform for IT, customer service, and operations that overlaps with Skan AI Agents' vision of autonomous workflow execution. It is comparable on the agentic AI side of Skan's business while being less differentiated on the underlying process intelligence observation layer.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/skan_ai
• YouTubeyoutube.com/channel/UC2uskAjFO6F_YkCf8Lmk8QA
• Facebookfacebook.com/SkanAI.Official
• LinkedInlinkedin.com/company/skan-ai

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Subsidiaries1 record

Funding overview

Funding rounds4 records

Investors11 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A1 record

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about skan.ai