Efficiency
Productivity
Risk Mitigation
How We Help
DeepSee Agents analyze disparate data sets and automate banking-specific tasks, while also providing the transparency compliance teams require.
Community
Banks
Supercharge your teams to focus on what matters most. Whether you’re just beginning your automation journey or enhancing existing processes, our AI Agents are designed to streamline labor-intensive tasks, improve operational efficiency, and unlock new revenue opportunities. Let us help you transform productivity while enabling your team to prioritize strategic growth initiatives.
See Agents
Financial Markets Infrastructure
Enhance your offerings with domain-specific expertise. While large system integrators and horizontal AI platforms provide scale, we bring deep financial services knowledge to the table. Our AI Agents integrate with existing systems, enriching them with contextual intelligence to tackle the complexities of financial markets. Together, we’re elevating the standard for innovation in financial infrastructure.
See Agents
Capital
Markets
Built for the most sophisticated firms on Wall Street. Our AI Agents deliver proven results across front, middle, and back-office operations at leading financial institutions. From streamlining workflows to scaling complex processes, we help broker-dealers and capital markets achieve operational excellence and drive measurable outcomes in the most demanding and heavily regulated environments.
See AgentsOur AI Agents for Banking
DeepSee’s specialized AI agents are designed to solve specific challenges in the banking sector, from streamlining operations to enhancing customer experiences.
Check Processing
Agent Role:
Extract and validate
incoming checks
Agent Outcomes:
Enables more trading activity
- Ingests images in any format and quality
- Automatically applies validation logic
- Detects anomalies and potential fraud
Check Scanning for Marketing
Agent Role:
Scan and record info
on inbound checks
Agent Outcomes:
Target marketing campaigns
- Use during key acquisitions
- Enhanced prospecting data
- Create easy mailer list for potential new members
Client/Advisor Retention
Agent Role:
AUM retention prediction
Agent Outcomes:
Retain your advisors and clients
- Analyze historical trade and balance activity
- Predict clients and advisor departure
- Alerts 3-6 mos. in advance
Commercial Loan Funding
Agent Role:
Automate reading, extraction and data entry of legal documents
Agent Outcomes:
Faster loan throughput & accuracy
- Capture accurate floating/variable rates
- Eliminate complexity of legalese
- Zero risk of manual entry error
Core Reconciliation
Agent Role:
Extract, label, and reconcile processes from disparate systems of records
Agent Outcomes:
Streamline data silos / systems
- Eliminate manual data entry/checks
- Advanced integration to core systems
- Provide intelligence and HITL feedback
DeepGPT
Agent Role:
AI content and context mining of proprietary data with financial services context
Agent Outcomes:
Chat with your data
- Knowledge base for team to use
- Easily updates and refines data
- Capture domain knowledge
Email Automation
Agent Role:
Email analytics and automation
Agent Outcomes:
Optimize your email flow
- Generated responses rooted in your data
- Data to drive immediate automation
- Streamlined workflow
Indirect Lending
Agent Role:
Automate manual & error prone work for loan applications
Agent Outcomes:
Faster loan throughput and funding
- Eliminate manual data entry
- Provide inline data quality
- Focus FTEs on Member/Customer Service
KYC Case File Analysis
Agent Role:
Resolve trade and documentation risk
Agent Outcomes:
Augment client due diligence
- Extract critical data from client documents
- Suggests reasoning narratives & actions
- Coordinates across teams
Loan Operations
Agent Role:
Automate manual & error prone
work for loan applications
Agent Outcomes:
Originate more loans faster
- Eliminates manual data entry
- Provide inline data quality
- Focus FTEs on higher value work
Loan Portfolio Audit/Data Quality
Agent Role:
Scrub loan portfolio to confirm accuracy of rates in core system
Agent Outcomes:
Accurate floating interest rates
- Change from spot check to full audit
- Improve reporting and insights
- Eliminate discrepancies across LOS & Core
Matching Engine
Agent Role:
Content matching from
multiple Systems of Record
Agent Outcomes:
ID and manage external breaks
- Daily highlights of trading breaks
- Escalate risks on daily close-outs
- Focus team on resolution instead of review
One View
Agent Role:
Connects content from
disconnected data sets
Agent Outcomes:
Unlocks optimization insights
- Single pane of glass to track system flows
- Simulate enhanced flows in client pitches
- Supports more volume
Security Settlements
Agent Role:
Resolve Settlement
Breaks
Agent Outcomes:
Enables more trading activity
- Generates responses based on your data
- Eliminates duplication and repeat tasks
- Generates cost-per-trade data
Standing Settlement Instructions
Agent Role:
Maintains SSI data
in any format
Agent Outcomes:
Accurate SSI data
- Zero delay in updating SSI data from clients
- Elimination of fails due to bad SSI data
- Identification of missing data
Trade Reconciliation
Agent Role:
Resolve Trade and
Documentation Risk
Agent Outcomes:
Enables more trading activity
- Resolve trade breaks with 100% accuracy
- Focus team on faster resolutions
- Auditability and transparency
Watch Tower
Agent Role:
Monitor Critical
Events & News
Agent Outcomes:
Enables more trading activity
- Automatically monitors for external news
- Organizes and summarizes per deal
- Audit trail to justify investment decisions
Community Banks
Check Processing
Agent Role:
Extract and validate
incoming checks
Agent Outcomes:
Enables more trading activity
- Ingests images in any format and quality
- Automatically applies validation logic
- Detects anomalies and potential fraud
Check Scanning for Marketing
Agent Role:
Scan and record info
on inbound checks
Agent Outcomes:
Target marketing campaigns
- Use during key acquisitions
- Enhanced prospecting data
- Create easy mailer list for potential new members
Commercial Loan Funding
Agent Role:
Automate reading, extraction and data entry of legal documents
Agent Outcomes:
Faster loan throughput & accuracy
- Capture accurate floating/variable rates
- Eliminate complexity of legalese
- Zero risk of manual entry error
Core Reconciliation
Agent Role:
Extract, label, and reconcile processes from disparate systems of records
Agent Outcomes:
Streamline data silos / systems
- Eliminate manual data entry/checks
- Advanced integration to core systems
- Provide intelligence and HITL feedback
DeepGPT
Agent Role:
AI content and context mining of proprietary data with financial services context
Agent Outcomes:
Chat with your data
- Knowledge base for team to use
- Easily updates and refines data
- Capture domain knowledge
Email Automation
Agent Role:
Email analytics and automation
Agent Outcomes:
Optimize your email flow
- Generated responses rooted in your data
- Data to drive immediate automation
- Streamlined workflow
Indirect Lending
Agent Role:
Automate manual & error prone work for loan applications
Agent Outcomes:
Faster loan throughput and funding
- Eliminate manual data entry
- Provide inline data quality
- Focus FTEs on Member/Customer Service
KYC Case File Analysis
Agent Role:
Resolve trade and documentation risk
Agent Outcomes:
Augment client due diligence
- Extract critical data from client documents
- Suggests reasoning narratives & actions
- Coordinates across teams
Loan Operations
Agent Role:
Automate manual & error prone
work for loan applications
Agent Outcomes:
Originate more loans faster
- Eliminates manual data entry
- Provide inline data quality
- Focus FTEs on higher value work
Loan Portfolio Audit/Data Quality
Agent Role:
Scrub loan portfolio to confirm accuracy of rates in core system
Agent Outcomes:
Accurate floating interest rates
- Change from spot check to full audit
- Improve reporting and insights
- Eliminate discrepancies across LOS & Core
Financial Market Infrastructure
Core Reconciliation
Agent Role:
Extract, label, and reconcile processes from disparate systems of records
Agent Outcomes:
Streamline data silos / systems
- Eliminate manual data entry/checks
- Advanced integration to core systems
- Provide intelligence and HITL feedback
DeepGPT
Agent Role:
AI content and context mining of proprietary data with financial services context
Agent Outcomes:
Chat with your data
- Knowledge base for team to use
- Easily updates and refines data
- Capture domain knowledge
Email Automation
Agent Role:
Email analytics and automation
Agent Outcomes:
Optimize your email flow
- Generated responses rooted in your data
- Data to drive immediate automation
- Streamlined workflow
Matching Engine
Agent Role:
Content matching from
multiple Systems of Record
Agent Outcomes:
ID and manage external breaks
- Daily highlights of trading breaks
- Escalate risks on daily close-outs
- Focus team on resolution instead of review
One View
Agent Role:
Connects content from
disconnected data sets
Agent Outcomes:
Unlocks optimization insights
- Single pane of glass to track system flows
- Simulate enhanced flows in client pitches
- Supports more volume
Security Settlements
Agent Role:
Resolve Settlement
Breaks
Agent Outcomes:
Enables more trading activity
- Generates responses based on your data
- Eliminates duplication and repeat tasks
- Generates cost-per-trade data
Standing Settlement Instructions
Agent Role:
Maintains SSI data
in any format
Agent Outcomes:
Accurate SSI data
- Zero delay in updating SSI data from clients
- Elimination of fails due to bad SSI data
- Identification of missing data
Trade Reconciliation
Agent Role:
Resolve Trade and
Documentation Risk
Agent Outcomes:
Enables more trading activity
- Resolve trade breaks with 100% accuracy
- Focus team on faster resolutions
- Auditability and transparency
Watch Tower
Agent Role:
Monitor Critical
Events & News
Agent Outcomes:
Enables more trading activity
- Automatically monitors for external news
- Organizes and summarizes per deal
- Audit trail to justify investment decisions
Capital Markets
Check Processing
Agent Role:
Extract and validate
incoming checks
Agent Outcomes:
Enables more trading activity
- Ingests images in any format and quality
- Automatically applies validation logic
- Detects anomalies and potential fraud
Client/Advisor Retention
Agent Role:
AUM retention prediction
Agent Outcomes:
Retain your advisors and clients
- Analyze historical trade and balance activity
- Predict clients and advisor departure
- Alerts 3-6 mos. in advance
Core Reconciliation
Agent Role:
Extract, label, and reconcile processes from disparate systems of records
Agent Outcomes:
Streamline data silos / systems
- Eliminate manual data entry/checks
- Advanced integration to core systems
- Provide intelligence and HITL feedback
DeepGPT
Agent Role:
AI content and context mining of proprietary data with financial services context
Agent Outcomes:
Chat with your data
- Knowledge base for team to use
- Easily updates and refines data
- Capture domain knowledge
Email Automation
Agent Role:
Email analytics and automation
Agent Outcomes:
Optimize your email flow
- Generated responses rooted in your data
- Data to drive immediate automation
- Streamlined workflow
KYC Case File Analysis
Agent Role:
Resolve trade and documentation risk
Agent Outcomes:
Augment client due diligence
- Extract critical data from client documents
- Suggests reasoning narratives & actions
- Coordinates across teams
Matching Engine
Agent Role:
Content matching from
multiple Systems of Record
Agent Outcomes:
ID and manage external breaks
- Daily highlights of trading breaks
- Escalate risks on daily close-outs
- Focus team on resolution instead of review
Security Settlements
Agent Role:
Resolve Settlement
Breaks
Agent Outcomes:
Enables more trading activity
- Generates responses based on your data
- Eliminates duplication and repeat tasks
- Generates cost-per-trade data
Standing Settlement Instructions
Agent Role:
Maintains SSI data
in any format
Agent Outcomes:
Accurate SSI data
- Zero delay in updating SSI data from clients
- Elimination of fails due to bad SSI data
- Identification of missing data
Trade Reconciliation
Agent Role:
Resolve Trade and
Documentation Risk
Agent Outcomes:
Enables more trading activity
- Resolve trade breaks with 100% accuracy
- Focus team on faster resolutions
- Auditability and transparency
Check
Processing
Agent Role:
Extract and validate
incoming checks
Agent Outcomes:
Enables more trading activity
- Ingests images in any format and quality
- Automatically applies validation logic
- Detects anomalies and potential fraud
Check
Scanning
for
Marketing
Agent Role:
Scan and record info
on inbound checks
Agent Outcomes:
Target marketing campaigns
- Use during key acquisitions
- Enhanced prospecting data
- Create easy mailer list for potential new members
Client/Advisor
Retention
Agent Role:
AUM retention prediction
Agent Outcomes:
Retain your advisors and clients
- Analyze historical trade and balance activity
- Predict clients and advisor departure
- Alerts 3-6 mos. in advance
Commercial
Loan
Funding
Agent Role:
Automate reading, extraction and data entry of legal documents
Agent Outcomes:
Faster loan throughput & accuracy
- Capture accurate floating/variable rates
- Eliminate complexity of legalese
- Zero risk of manual entry error
Core
Reconciliation
Agent Role:
Extract, label, and reconcile processes from disparate systems of records
Agent Outcomes:
Streamline data silos / systems
- Eliminate manual data entry/checks
- Advanced integration to core systems
- Provide intelligence and HITL feedback
DeepGPT
Agent Role:
AI content and context mining of proprietary data with financial services context
Agent Outcomes:
Chat with your data
- Knowledge base for team to use
- Easily updates and refines data
- Capture domain knowledge
Email
Automation
Agent Role:
Email analytics and automation
Agent Outcomes:
Optimize your email flow
- Generated responses rooted in your data
- Data to drive immediate automation
- Streamlined workflow
Indirect
Lending
Agent Role:
Automate manual & error prone work for loan applications
Agent Outcomes:
Faster loan throughput and funding
- Eliminate manual data entry
- Provide inline data quality
- Focus FTEs on Member/Customer Service
KYC
Case
File
Analysis
Agent Role:
Resolve trade and documentation risk
Agent Outcomes:
Augment client due diligence
- Extract critical data from client documents
- Suggests reasoning narratives & actions
- Coordinates across teams
Loan
Operations
Agent Role:
Automate manual & error prone
work for loan applications
Agent Outcomes:
Originate more loans faster
- Eliminates manual data entry
- Provide inline data quality
- Focus FTEs on higher value work
Loan
Portfolio
Audit/Data
Quality
Agent Role:
Scrub loan portfolio to confirm accuracy of rates in core system
Agent Outcomes:
Accurate floating interest rates
- Change from spot check to full audit
- Improve reporting and insights
- Eliminate discrepancies across LOS & Core
Matching
Engine
Agent Role:
Content matching from
multiple Systems of Record
Agent Outcomes:
ID and manage external breaks
- Daily highlights of trading breaks
- Escalate risks on daily close-outs
- Focus team on resolution instead of review
One
View
Agent Role:
Connects content from
disconnected data sets
Agent Outcomes:
Unlocks optimization insights
- Single pane of glass to track system flows
- Simulate enhanced flows in client pitches
- Supports more volume
Security
Settlements
Agent Role:
Resolve Settlement
Breaks
Agent Outcomes:
Enables more trading activity
- Generates responses based on your data
- Eliminates duplication and repeat tasks
- Generates cost-per-trade data
Standing
Settlement
Instructions
Agent Role:
Maintains SSI data
in any format
Agent Outcomes:
Accurate SSI data
- Zero delay in updating SSI data from clients
- Elimination of fails due to bad SSI data
- Identification of missing data
Trade
Reconciliation
Agent Role:
Resolve Trade and
Documentation Risk
Agent Outcomes:
Enables more trading activity
- Resolve trade breaks with 100% accuracy
- Focus team on faster resolutions
- Auditability and transparency
Watch
Tower
Agent Role:
Monitor Critical
Events & News
Agent Outcomes:
Enables more trading activity
- Automatically monitors for external news
- Organizes and summarizes per deal
- Audit trail to justify investment decisions
What are DeepSee AI Agents?
DeepSee AI agents are specialized digital assistants purpose-built for banking operations. They combine deep financial expertise with advanced technology to automate complex processes.
01
Vertically Focused Agents That Work for You
Mine any content to identify banking requirements, assign tasks to the right agent, and reduce manual work—so teams focus on exceptions, scaling expertise and reducing risk.
02
AI Platform Training and Tuned for Banking Use Cases
Agents use AI to extract and categorize content by context, not layout, enabling automation, compliance, and real-time data reconciliation across any format.
03
Next-Gen Content Understanding and Knowledge Retention
Agents label, fact-check, and extract key information, storing insights in a knowledge graph for advanced AI and continuous learning with human feedback.
Who We Serve
DeepSee’s intelligent platform is designed to address the unique needs of key stakeholders across the financial organization.
Analyst
Hands-on keyboard end users
who implement and interact with
AI agents daily.
- Reducing tedious manual processes
- Increasing daily productivity
- Eliminating errors in routine tasks
- Gaining time for higher-value work
Team Manager
Focused on team performance and operational visibility, seeking insights to drive efficiency gains.
- Reducing tedious manual processes
- Increasing daily productivity
- Eliminating errors in routine tasks
- Gaining time for higher-value work
Executive
Concerned with overall business outcomes, seeking ways to reduce risk and drive revenue growth.
- Reducing tedious manual processes
- Increasing daily productivity
- Eliminating errors in routine tasks
- Gaining time for higher-value work
Core Capabilities
Intelligence Engine
- Sector-specific models and ontologies
- Grounded, advanced reasoning framework
- Continuous-learning architecture
- API integration to external knowledge/data sources
Enterprise Architecture
- Zero-trust architecture
- Data lifecycle encryption (CMK, BYOK)
- Discrete, per-customer enclaves
- Kubernetes, cloud-scale security & resilience
Integration & Scale
- Infrastructure as Code (IaC)
- Policy as Code (PAC)
- Global availability, regional confinement
- Cloud-native, secure APIs
Operational Excellence
- Process transparency/observability
- Near-real-time monitoring
- Mature risk management practice
- Security, confidentiality and availability first
Evident AI
Outcomes Report
Is there a formal process at the bank to capture ideas for AI use cases?
Which AI use cases should banks be prioritizing?
How is AI unlocking value for banks?
How do banks’ AI outcomes compare to their peers?
Does the bank have a central repository of the organization’s AI/ML use case portfolio?
Platform Benefits
DeepSee empowers your entire organization: developers benefit from modern, documented architecture for quick deployment, operations teams leverage no-code controls, and executives see immediate ROI through reduced risk and enhanced banking efficiency.
