Delivering Tomorrow's Solutions, Today
Customized solutions that deliver real business value. Our team specializes in creating tailored technology implementations that solve your unique challenges.
Solutions vs SaaS: The Clear Advantage
SOLUTIONS
- Customized to your requests
- You own the code and data
- As many users as you want for no charge
- Private system protects your data
SaaS
- Customized to your requests
- You own the code and data
- As many users as you want for no charge
- Private system protects your data
Our Strategic Approach
Complete Initial Proof-of-Value
Build confidence in both the technology and our team through targeted demonstrations.
Operationalize the Solution
Polish for real-world use and continue improvements based on team requests.
Expand to New Use Cases
Create new AI Assistants for other departments and leverage as a strategic platform.
Our Charter: Delivering Value at Every Stage
Rapid Value
We utilize AI to provide immediate benefits that solve pressing business challenges.
Strategic Foundation
While delivering quick wins, we simultaneously lay the groundwork for long-term strategic value.
Continuous Improvement
Our solutions evolve with your needs, ensuring ongoing relevance and effectiveness.
Key Points
Demonstration of Potential
Each deliverable is "Proof-of-Value" that extends a custom solution, not a finished SaaS product.
Expandable Features
New capabilities are be added based on our client's specific requirements and feedback.
Customizable Implementation
The solution can be tailored to integrate with existing systems and workflows.
Case Study: HR AI Assistant
1
Candidate Screening
Automated analysis of candidate qualifications against job requirements with match scoring.
2
Automated Communications
Generate personalized candidate communications with customizable templates.
3
Interview Analysis
AI-generated analysis of interview transcripts with key insights highlighted.
HR AI Assistant: Business Impact
Our HR AI Assistant is estimated to deliver quantifiable improvements across critical recruiting metrics:
65%
Time Savings
Reduction in screening time per candidate
42%
Cost Reduction
Lower recruiting costs through automation
3.8x
Candidate Quality
Improvement in qualified candidate identification
87%
Response Rate
Higher candidate engagement with automated communications
These improvements translate to faster hiring cycles, better talent acquisition, and significant HR team productivity gains.
Advanced Features
Voice Screening
AI can conduct initial voice phone calls to screen candidates for first-round selection.
Email Automation
AI can send actual emails on your behalf with appropriate approvals.
Multi-Interface Access
AI can take these steps through chat OR web interface based on user preference.
Custom Reporting
Reports and dashboards can include what you choose to see, tailored to your needs.
Case Study: Banking Domain
Our next case study showcases a P&L Attribution and Adjustment Summarizer developed for a major financial institution.
Financial Accuracy
Addressing discrepancies between front office, risk systems, and back office reporting.
Detailed Analysis
Highlighting breaks and providing comprehensive analysis of financial discrepancies.
Documentation
Summarizing adjustment rationales for transparent reporting and sign-off.
Banking Solution: Business Impact
75%
Time Reduction
Finance Controller's daily sign-off time reduced from 3-4 hours to less than 1 hour
99.8%
Accuracy
Improved consistency and precision in P&L calculations
3x
Efficiency Gain
Overall process efficiency from data pipeline to final sign-off
P&L Attribution and Adjustment Summarizer
AI-Powered Analysis
Advanced machine learning for financial data processing
Intelligent Adjustments
Data-driven recommendations based on historical patterns
Automated Summaries
Concise, accurate documentation of all adjustments
Banking Domain: Process Overview
Generate Flash Reports
Front office creates P&L reports at close of daily trading
Process Data Pipeline
Trade positions move through risk systems to back office
Calculate Daily P&L
Finance systems perform data enrichment and calculations
Obtain Approval
Finance Controller reviews and approves final summary
Banking Solution: Technical Approach
Automated Break Analysis
Implemented Isolation Forest algorithms to analyze discrepancies between systems and predict potential breaks by learning from historical data patterns.
Intelligent P&L Adjustment
Utilized regression models including Linear Regression and Lasso to recommend P&L adjustments based on past patterns and real-time data inputs.
Summary Generation
Deployed transformer-based LLM models (GPT-4, Llama) to automatically generate comprehensive summaries with contextual understanding.
Case Study: Hospitality Domain
Our next case study demonstrates how we transformed CapEx processing and procurement for a major hospitality client.
Industry Challenge
Complex procurement requirements with numerous variables across different CapEx types.
Time Constraints
Time-consuming RFP creation, vendor selection, and response consolidation processes.
Performance Measurement
Lack of consistent metrics for evaluating CapEx allocation and procurement effectiveness.
Hospitality Solution: Business Impact
93%
Time Savings
RFP process reduced from 3-4 weeks to just 2 days
90%
Reduced Dependency
Decrease in internal team coordination for supplier questions
99%
Process Consistency
Standardized approach across all business divisions
Hospitality Domain: Client Requirements
Governance
Maintain existing processes and policies
Automation
Reduce manual effort in CapEx requests
Standardization
Create consistent procurement processes
CapEx Processor & Procurement Automation
Request
AI Agent guides requesters through CapEx process
2
Approval
Hybrid AI-human approval application
RFP Creation
Automated RFP generation and supplier selection
Clarification
AI-powered supplier Q&A management
CapEx Solution: Architecture Overview
Our solution integrates multiple AI agents with existing systems to create a seamless, intelligent procurement process.
MS Teams Integration
Custom bot framework integration with Microsoft Teams allows users to initiate and manage CapEx requests directly from their collaboration platform.
Approval Workflow
Multi-stage approval process with role-based permissions and automated routing based on CapEx type, amount, and department.
Vendor Management
Comprehensive supplier database with performance metrics, compliance status, and historical interaction data to inform selection.
Hospitality Solution: Components
CapEx Request Agent
MS Teams integration guiding users through the process, collecting necessary information based on CapEx type and category.
CapEx Approval App
Application incorporating human oversight in the approval process, creating an ethical hybrid model between AI and human decision-making.
RFP Creator Agent
AI-powered system to automatically create RFPs, select appropriate suppliers from an approved list, and distribute to selected vendors.
Hospitality Solution: Additional Features
RFP Clarification Agent
AI system for suppliers to address questions regarding the RFP content, reducing dependency on internal teams.
Response Evaluator
AI-powered consolidation of all vendor responses with summarized recommendations and justifications for approvers.
Performance Monitor
AI-enabled platform to measure, analyze, and report on the end-to-end process performance with continuous improvement.
Case Study: Agriculture Domain
Our next case study showcases precision agriculture systems utilizing drone imagery for improved crop management and yield optimization.
Industry Challenge
Time-consuming crop estimation that quickly becomes outdated due to changing conditions.
Monitoring Complexity
Difficulty in assessing crop conditions across large cultivation areas to predict needs.
Pest Management
Inefficient pesticide application covering entire fields rather than targeting affected areas.
Agriculture Domain: Client Requirements
Enhance Productivity
Implement AI technologies to streamline agricultural processes for higher efficiency and output.
Improve Crop Yields
Utilize data analytics to monitor and enhance crop health, leading to increased yields.
Promote Sustainability
Adopt AI solutions to implement eco-friendly practices, ensuring long-term sustainability.
Optimize Supply Chain
Implement systems to improve efficiency from production to market with predictive analytics.
Precision Agriculture Systems
Plant Density Analyzer
Accurately counts plants in specified areas and compares to expected outcomes.
Vegetation Health Monitor
Identifies condition and lushness of vegetation to determine fertilization needs.
Crop Stress Detector
Locates stress zones where crops are affected by disease or drought.
Yield Estimator
Projects productivity and estimates crop yields using drone imagery analysis.
Plant Density Analyzer
Precise Plant Counting
The Plant Density Analyzer determines exact plant numbers in specified areas, comparing actual results to expected outcomes and calculating deviations.
Yield Loss Identification
Identifies zones with potential yield losses and evaluates seed quality through germination rate analysis.
Informed Decision Making
Provides early yield estimates to facilitate proactive planning for future agricultural operations and replanting efforts.
Vegetation Health Monitor
Precision Analysis
The Vegetation Health Monitor pinpoints the exact location, condition, strength, and lushness of vegetation across fields.
This detailed analysis helps determine optimal locations for soil sampling and targeted fertilization application.
By applying fertilizer based on Vegetation Health Analysis, farmers ensure plants receive appropriate nutrition, assuming no other biotic or abiotic factors are affecting them.
Crop Stress Detector
Stress Zone Identification
Identifies the precise percentage, size, and location of stress zones where crops are affected by diseases, drought, or other yield-limiting factors.
Detailed Mapping
Generates comprehensive maps that clearly highlight both healthy and problem areas within the field for targeted intervention.
Proactive Management
Enables timely and appropriate actions to mitigate issues before they significantly impact yield and crop quality.
Weed Infestation Analyzer
Precision Detection
Provides accurate identification of weed-infested areas in the field, enabling targeted treatment approaches rather than blanket application.
Prescription Mapping
Creates variable prescription maps for herbicide application, ensuring that treatments are applied only where needed for maximum effectiveness.
Resource Optimization
Reduces herbicide usage by enabling precise application, lowering costs while minimizing environmental impact from chemical treatments.
Crop Damage Assessor
Comprehensive Damage Analysis
The Crop Damage Assessment module precisely identifies the location and percentage of broken and lodged plants, as well as damaged zones within fields.
Instead of time-consuming manual measurements, a single drone flight collects comprehensive crop damage data quickly and accurately.
This tool generates essential information about crop damage, helping assess the extent and calculate economic impact for insurance claims and management decisions.
Crop Yield Estimator
Image Capture
Periodic drone imagery collection
Crop Analysis
Classification of crop types and densities
Yield Projection
Productivity and harvest estimates
Agriculture Solution: Architecture
Our precision agriculture solution combines drone technology, computer vision, and machine learning to deliver actionable insights for farmers.
Image Acquisition
Automated drone flight paths capture multispectral imagery across fields at regular intervals, with onboard processing for initial analysis.
Data Processing
Cloud-based analysis pipeline processes imagery using computer vision algorithms to identify plant counts, health indicators, and stress factors.
Insight Delivery
Results are delivered through web and mobile interfaces with actionable recommendations for fertilization, irrigation, and pest management.
Agriculture Solution: Business Impact
Cost Reduction
- Optimized resource usage for crops
- Lower labor and operational expenses
- Targeted application of fertilizers and pesticides
Efficiency Improvements
- Less time spent on field scouting
- Remote crop monitoring capabilities
- Increased overall productivity
Yield Optimization
- Detailed plant stress analysis
- Early problem identification
- Improved crop health management
Agricultural AI Agents
Crop Health Assistant
AI-powered language model providing information on crop diseases, treatments, and best practices for early detection and management.
Farm & Fertilizer Consultant
Chatbot assisting with farmland ecology, disease identification, fertilizer mapping, and usage methodologies.
Supply Chain Assistant
System aggregating data from analyzers and yield estimations to support supply chain planning and management.
Additional Agricultural AI Agents
Disaster Advisory Assistant
Processes data from Crop Damage Assessors to aid insurance agents and farmers with damage analysis and assessment reports.
Reporting Assistant
Aggregates data from various systems to generate comprehensive reports for different stakeholders and departments.
Herbicide Consultant
Assists farmers and herbicide sellers with weed management questions and optimal product selection.
Expanded Agricultural AI Models
Irrigation System Monitoring
Detects leaks or damage to irrigation systems by incorporating weather data and crop water requirements for enhanced water efficiency.
Intelligent Spraying
Leverages vegetation and weed data for precision UAV spraying with computer vision, reducing contamination risks to crops and environment.
Soil Analysis
Utilizes computer vision to analyze soil texture and organic matter content without traditional lab analysis, using data from handheld microscopes.
Price Forecasting
Extends yield estimation to predict total crop volumes and define pricing strategies for better market negotiations.
Case Study: Supply Chain Management
Our next case study demonstrates integrated material forecasting for improved supply chain management and material planning.
Industry Challenge
Complex coordination between material planning and finished goods forecasting.
Data Integration
Need for comprehensive data pipelines to predict sales versus demand ahead of time.
System Transition
Migration from legacy systems to integrated business planning platforms.
Supply Chain Solution: Business Impact
Improved Delivery
Products delivered at the right time, to the right place, at the right price through enhanced forecasting and coordination.
Decreased Lead Times
Smoother fulfillment processes with better coordination among suppliers, distribution, and production teams.
Cost Reduction
Significant resource efficiency gains throughout the supply chain with optimized inventory levels and production planning.
Forecasting Accuracy
Substantial improvement in demand prediction accuracy, reducing both stockouts and excess inventory situations.
Integrated Material Forecasting
Data Pipeline Creation
Build Airflow-driven pipelines to move supply chain data
AI Forecasting Models
Implement advanced prediction algorithms
Cloud Migration
Move legacy workloads to AWS for scalability
System Integration
Connect with O9 integrated business planning
Supply Chain Data Streams
Our solution integrates multiple data streams to create a comprehensive view of the supply chain, enabling better forecasting and decision-making.
Supplier Data Integration
Real-time feeds from supplier systems provide visibility into material availability, lead times, and potential disruptions.
Production Planning
Integration with manufacturing execution systems captures production rates, yields, and resource utilization for accurate capacity planning.
Demand Signals
Sales data, market trends, and promotional calendars are incorporated to generate more accurate demand forecasts.
Supply Chain Data Processing Architecture
Our architecture leverages AWS services and Apache Airflow to create a scalable, reliable data processing platform for supply chain analytics.
Data Ingestion
Multiple ingestion methods including API connections, file transfers, and streaming data capture ensure comprehensive data collection.
Processing Pipeline
Airflow orchestrates hundreds of data transformation and enrichment tasks, ensuring data quality and consistency.
Analytics Layer
Processed data feeds into forecasting models and business intelligence tools for actionable insights.
Case Study: Data Lake House
Our next case study showcases a real-time curation solution combining batch and stream processing for comprehensive data management.
Industry Challenge
Data in various formats from structured tables to unstructured feeds requiring unified processing.
Processing Balance
Need to balance between thorough batch processing and immediate real-time insights.
Legacy Systems
Migration from outdated infrastructure to modern, scalable architecture.
Real-time Curation Solution
2
Lambda Architecture
Hybrid approach combining batch and stream processing
2
Centralized Data Platform
Extraction, cleansing, and persistence of all source data
Cloud-Native Implementation
AWS services for scalability and reliability
Data Lake House: Technical Components
Snowflake Data Warehouse
Used for comprehensive analytics with structured data from multiple sources, enabling complex queries and reporting.
Stream Consumer
Real-time processing of product changes and updates, providing immediate visibility into data modifications.
ElasticSearch
Hot persistence and caching layer used in stores to quickly scan products for details with minimal latency.
AWS S3 Data Lake
Storage for downstream teams to consume changes made in the last 24 hours, with comprehensive historical data access.
Data Lake House: Additional Features
EMR with Auto-scaling
Dynamically adjusts resources based on workload demands and traffic spikes for optimal performance and cost efficiency.
Centralized Orchestration
Apache Airflow implementation for streamlining workflow management and reducing complexity across the data platform.
Security Integration
Comprehensive security controls with fine-grained access management and encryption for sensitive data protection.
Target Data Platform Architecture
Our target architecture creates a unified data platform that supports both batch and real-time processing needs while maintaining scalability and reliability.
Data Ingestion Layer
Multiple ingestion methods handle various data sources and formats, with validation and initial transformation capabilities.
Processing Framework
Parallel processing paths for batch (thoroughness) and streaming (speed) with reconciliation mechanisms to ensure consistency.
Serving Layer
Multiple data access patterns including APIs, direct query, and file exports to support diverse consumer needs.
Data Lake House: Business Impact
60%
Decision Speed
Faster insights through real-time processing
75%
Efficiency Gain
Reduction in data bottlenecks and processing delays
40%
Revenue Growth
New opportunities from real-time insights
Case Study: Cybersecurity Revamp
Our next case study demonstrates how we transformed information and cyber security operations for a major financial institution.
Industry Challenge
Legacy security systems with disjointed structure and inconsistent policies across IT units.
Capacity Planning
Mismatches between IT team capabilities and evolving user security needs.
Regulatory Compliance
Need to align with strict financial industry security regulations and audit requirements.
Cybersecurity Solution: Business Impact
Secure Service Delivery
Improved speed and security for new service deployments with consistent security controls.
Operational Efficiency
Streamlined coordination among stakeholders with decreased SLAs and smoother service delivery processes.
Cost Optimization
Reduced operational costs through improved resource efficiency and optimized security operations.
Regulatory Compliance
Successfully cleared compliance audits and regulator's offensive simulations with robust security posture.
Cybersecurity Solution Approach
Strategic Roadmap
Created comprehensive strategy to integrate security into the bank's culture, establishing current baseline and desired future state.
Policy Framework
Developed comprehensive policies, procedures, standards, and guidelines for all major services in the service catalog.
Service Design
Built services with defined SLAs and escalation paths focused on confidentiality, integrity, and availability based on business impact analysis.
Technology Implementation
Deployed modern security technology stack aligned with the target architecture to support all security domains.
Target Cybersecurity Architecture
Our target architecture creates a comprehensive security framework covering all aspects of information and cyber security.
Identity & Access Management
Centralized identity management with multi-factor authentication, privileged access controls, and comprehensive audit logging.
Threat Protection
Multi-layered defense including network security, endpoint protection, and advanced threat detection with security analytics.
Security Operations
24/7 monitoring with automated incident response workflows and integration with IT service management processes.
Case Study: Cloud Migration
Our final case study showcases a comprehensive cloud migration and transformation for a major retail organization.
Legacy Challenges
Monolithic, tightly coupled systems with limited scaling and reliability capabilities.
Deployment Constraints
Difficult continuous deployment with long release cycles hampering innovation.
Cost Pressures
High operational costs with inefficient resource utilization during peak and off-peak periods.
Cloud Migration: Business Impact
Our cloud migration solution delivered exceptional results across multiple business dimensions:
96%
Accelerated Time-to-Market
Reduction in new feature deployment time, from 48 hours to just 2 hours, enabling rapid innovation.
1.2M
Expanded Product Catalog
Third-party SKUs onboarded within weeks, creating new revenue opportunities and market expansion.
100%
Zero Downtime
Availability maintained during peak seasons for mobile channel, ensuring uninterrupted customer experience.
40%
Cost Efficiency
Reduction in hosting and processing costs through optimized resource utilization and auto-scaling.
Cloud Migration Scope
200+
Applications
Services migrated or refactored for cloud
20+
New Services
Greenfield applications developed
300+
Servers
Migrated with auto-scaling capabilities
New Revenue Stream Enablement
1
Development & Integration
Building cloud-native systems for product onboarding and management.
2
Supervised Ingestion
Initial product catalog expansion with monitored data quality.
3
Automated Ingestion
Fully automated product onboarding with validation.
4
Sales & Updates
Continuous catalog expansion with daily automated updates.
Cloud Strategy Expectations
Burst Capacity
Support for high transaction periods with dynamic scaling.
2
2
Secure Hybrid Cloud
Hardware isolation between on-premises and cloud infrastructure.
3
3
Hybrid Workloads
Support for both Linux and Windows with unified management.
4
4
Single Control Plane
Consistent management across multiple environments.
Vendor Independence
Cloud-agnostic approach preventing vendor lock-in.
Target Cloud Architecture
Our target architecture creates a flexible, secure multi-cloud environment that supports diverse workloads while maintaining operational consistency.
Multi-Cloud Management
Unified control plane for consistent deployment and operations across cloud providers and on-premises infrastructure.
Service Mesh
Istio implementation providing granular control, transparency, and visibility across all container clusters regardless of location.
Disaster Recovery
Automated failover between cloud providers and on-premises systems with comprehensive data replication and recovery procedures.
Data Platform Architecture
Our data platform architecture supports the retail operation with comprehensive data management capabilities across the cloud environment.
Data Ingestion
Multiple ingestion patterns for batch, micro-batch, and streaming data from various sources including stores, e-commerce, and third-party systems.
Processing Framework
Scalable data processing with both batch and real-time capabilities, supporting diverse analytical workloads.
Analytics & ML
Comprehensive analytics environment with support for traditional BI, self-service analytics, and machine learning model development and deployment.
DevOps CI/CD Architecture
Our DevOps architecture enables rapid, reliable software delivery with comprehensive automation and quality controls.
Source Control
Centralized code repositories with branching strategies supporting feature development, testing, and production releases.
Continuous Integration
Automated build, test, and validation processes ensuring code quality and compatibility before deployment.
Deployment Automation
Infrastructure-as-code and containerization enabling consistent, repeatable deployments across environments.
Monitoring & Feedback
Comprehensive monitoring with automated alerting and feedback loops for continuous
Our Commitment to Your Success
Client-Centric Approach
We prioritize your business needs and challenges above all else.
Continuous Innovation
Our solutions evolve with emerging technologies and changing market demands.
Measurable Results
We deliver quantifiable business impact with transparent metrics and reporting.
Long-Term Partnership
Our relationship extends beyond implementation to ongoing optimization and support.
Contact us today to discuss how our tailored solutions can transform your business capabilities and drive sustainable growth.
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