Company profile: Nanonets
1.1 - Company Overview
Company description
- Provider of AI-powered document processing and workflow automation, using advanced OCR and deep learning to extract data and automate document-heavy processes such as accounts payable, order processing, and insurance underwriting. Offers Flow for AP automation, Instant Learning AI for training-free data extraction, extensive ERP integrations, and an intuitive user experience.
Products and services
- Extensive ERP Integrations: Enterprise-grade support for integrations with major ERP systems, ensuring broad compatibility and seamless connectivity to automate document-driven AP, order processing, and underwriting workflows
- Flow: Secure AP automation product that manages supplier communications and processes invoices within a protected ecosystem, streamlining document-heavy accounts payable operations across enterprises
- Instant Learning AI: Self-learning AI that extracts data from documents without prior training and continually improves accuracy using user feedback, leveraging advanced OCR and deep learning models
Key contacts
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Financial details
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1.2 - Competitors and similar companies to Nanonets
Saagie
HQ: France
Website
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- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
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- Total funding raised: $●●●m
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ProFacto
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- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
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Strategy Software
HQ: United States
Website
- Description: Provider of AI-driven, cloud-native enterprise analytics software for thousands of customers worldwide.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
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Datawave
HQ: United Kingdom
Website
- Description: Provider of data migration automation software and expertise, focusing on automating migration processes to significantly cut client costs.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
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DataScience
HQ: United States
Website
- Description: Provider of an enterprise data science platform that combines tools, libraries, and languages for data scientists. Founded in 2014 and headquartered in Culver City, California.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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2.M&A buyers
2.1 Potential strategic acquirers in the sector
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2.2 - Strategic buyer groups for Nanonets
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Buyer group 2: ████████ ████████
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Buyer group 3: ████████ ████████
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3. Investors and private equity firms
3.1 - Buyout funds investing in similar companies to Nanonets
2.2 - Growth funds investing in similar companies to Nanonets
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4 - Top valuation comps for Nanonets
4.2 - Public trading comparable groups for Nanonets
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