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DeepSee.ai
Created the world’s first Knowledge Process Automation platform to mine unstructured data, operationalize AI-powered insights, and automate results into real-time action for the enterprise
About DeepSee.ai
DeepSee.ai, founded in 2019 by a team of enterprise software veterans, operates from Salt Lake City, Utah, positioning itself within the artificial intelligence sector to address inefficiencies in data-heavy, regulated industries. The company was established by CEO Steve Shillingford and CFO Ken Saunders. Shillingford's background includes leadership roles at various startups, building cloud-scale platforms, and co-founding a cybersecurity platform for big data analytics. His experience at Oracle, witnessing the rise of Salesforce, informed his vision to create a solution-focused AI company that simplifies complex technology for business users, much like Salesforce did for CRM.
The firm has developed a Knowledge Process Automation (KPA) platform, which it describes as a new category of automation. This platform is designed to mine unstructured data from various sources like PDFs, emails, and other documents, apply AI-driven insights, and automate actions in real-time. The business model centers on providing this KPA platform as a cloud-based, software-as-a-service (SaaS) solution to enterprise clients. DeepSee.ai primarily serves companies in the capital markets and insurance sectors, including banks, hedge funds, and exchanges, helping them with functions ranging from complex risk analysis and fraud detection to post-trade reconciliations.
The KPA platform consists of a three-tiered product suite. The first tier, DeepSee Assembler, ingests and prepares unstructured data for analysis. The second, DeepSee Atlas, uses this data to train AI models for process automation. The third, DeepSee Advisor, utilizes text analysis to provide cognitive insights. A key differentiator is the platform's ability to handle complex, judgment-based processes that typically require human intellect, going beyond the capabilities of standard robotic process automation (RPA). The system is designed to be a no-code, customizable solution that integrates with clients' existing tools and allows subject matter experts to capture and apply their knowledge, turning inaccessible data into actionable insights.
A significant milestone for the company was securing $22.6 million in a Series A funding round in March 2021, which brought its total funding to $30.7 million. This round was led by ForgePoint Capital with participation from existing investors AllegisCyber Capital and Signal Peak Ventures. The capital was earmarked for accelerating product development and expanding into new vertical markets. The company has also gained industry recognition, being named a "Cool Vendor" by Gartner in 2021 and joining programs like the NVIDIA Inception program and the Microsoft for Startups Pegasus Program.
Source: Dealroom company dataKnowledge graph
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Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES A✓Equity / VC | Mar 2021 | $23M | $90M | AllegisCyber Capital · Signal Peak Ventures · ForgePoint Capital | — |
| SUPPORT PROGRAMOther financing | Mar 2020 | — | — | MassChallenge | — |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for DeepSee.ai is 14K monthly website visits, up 40% over the last three months. DeepSee.ai's team grew 15.2% over the past year.
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Series A3 investors entered at this stage
AllegisCyber Capital
Signal Peak Ventures
ForgePoint Capital
Other known investors6 additional known investors
MassChallenge
Allegis Capital
BankTech Ventures
EJF Capital
EJF Ventures
Oquirrh Ventures
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
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