4677 Old Ironsides Drive
Suite #410
Santa Clara CA 95054
[ Services ]
Data Engineering and AI Solutions
Unlock the power of your data with advanced technologies to streamline operations, enhance decision-making, and enable real-time innovation.
Our Data Engineering & AI Solutions empower organizations to harness the full potential of their data. We design, build, and optimize data pipelines, implement advanced machine learning models, and integrate AI-driven insights to deliver scalable, efficient solutions.
From data migration to analytics, we ensure that your data infrastructure is robust and capable of supporting your business’s evolving needs, all while adhering to the highest industry standards.
AI-Powered Analytics
Create tailored digital roadmaps that align with your strategic business objectives, focusing on innovation and market competitiveness.
Data Integration & Automation
Streamline data workflows by automating integration processes across multiple sources, ensuring consistency, accuracy, and efficiency in your data operations.
Custom AI Solutions
Solutions like automating workflows, optimizing supply chains, and implementing anomaly or fraud detection, ensuring seamless integration and measurable impact.
Data Pipeline Architecture
Design and implement robust, scalable data pipelines that ensure smooth data ingestion, transformation, and delivery for efficient real-time and batch processing.
Machine Learning Model Development
Develop, train, and deploy machine learning models to automate processes, improve predictions, and uncover hidden patterns in your data.
Custom AI Solutions
Guide legacy system modernization efforts, leveraging cloud technologies and modern architectures to enhance scalability and performance.
Our approach to data engineering focuses on creating a solid, scalable infrastructure that supports both immediate business needs and long-term growth.
We work closely with your teams to design flexible data pipelines that ensure smooth data integration, processing, and accessibility. By aligning our solutions with your organization’s strategic goals, we help drive more informed decision-making and greater operational efficiency.In addition to data engineering, we integrate advanced AI technologies, including generative AI, into your data ecosystem.
This allows for enhanced data-driven insights and automation across various use cases. Our team ensures that AI models are seamlessly deployed, monitored, and continuously improved, helping your business unlock the full potential of artificial intelligence.
Background
A North American telecommunications provider faced 2+ month release cycles due to manual processes, fragmented environments and multiple dependent, yet disconnected, systems and pipelines. The program focused on automating and integrating the various systems, pipelines, and verification processes to unify releases and reduce manual dependencies, achieving 80% automation coverage in < 12 months.
Approach
Defined the target operating model and streamlined environment and pipeline integration across multiple systems. Integrated several disparate third-party tools within the DevOps stack to enable seamless orchestration of builds, validations, and deployments, establishing a repeatable framework to accelerate delivery and reduce cycle time.
Impact
60+
APIs and microservices integrated into a unified automation and deployment framework across Dev, QA, and Prod environments.
75%
Reduction in manual configuration effort through scripted environment provisioning and CI/CD integration.
$2.5M+
Annual operational savings achieved by consolidating test, deployment, and monitoring workflows under a single automation framework.
10+
Enterprise-grade integrations (Billing, Provisioning, Networks, Tracking, Devices, etc.) automated, reused and validated across environments & services.
Background
A leading U.S. financial institutionsought to modernize its Commercial Card Expense Reporting platform to handlegrowing transaction volumes and deliver real-time insights. Legacy systemsstruggled with long query times, fragmented data, and manual processes limitingvisibility for clients and finance teams.
Approach
3Qi Labs, an Elastic Reseller and SystemIntegrator, implemented a real-time analytics platform leveraging the Elastic(ELK) Stack — Elasticsearch, Logstash, and Kibana — along with Kafka, AWS, andPython ETL pipelines. The solution delivers sub-second query speeds, unifiedAPIs, and a secure, scalable cloud architecture.
Impact
10M+
Transactions/hourprocessed — Real-time analytics at scale
<1sec
Query latency — Instant search across terabytes of data
1M+
Activeusers — Self-service analytics for clients and teams
1M+
Activeusers — Self-service analytics for clients and teams
Background
A U.S.-based financial institution neededto modernize its escrow operations to replace manual processes and fragmenteddata systems. The goal was to create a secure, cloud-hosted escrowplatformtightly integrated with the bank’s core systems, paymentsinfrastructure,and enterprisedata warehouse.
Approach
3Qi Labs engineered a microservices-basedintegration layeron AWS, connecting the escrow platform to existing banking and compliancesystems. The solution included real-time APIs, event-drivenmessaging, andSnowflakeintegration forunified data analytics, account reconciliation, and reporting — all securedthrough SSO/SAML and end-to-endencryption.
Impact
85%
Reductionin manual account setup and maintenance effort through API-driven escrowlifecycle automation.
95%
Improvement in reconciliation accuracy between escrow ledgers and core banking systems via event-driven data validation.
3× Faster
Averageturnaround time for escrow account onboarding and fund disbursement throughintegrated workflows and automated approvals.
65+
Enterprise APIs and microservices integrated across account, payments, and reporting systems.