We Own the
Entire Data Lifecycle,
Not Just Pieces of It
Data only delivers value when the platform behind it is engineered to scale. We help product companies build secure, reliable, analytics-ready data platforms across the full data lifecycle—ingestion, processing, storage, and consumption. Our data engineering teams design batch and streaming pipelines, analytics layers, and cloud-native architectures that support real-time insights without compromising reliability or cost control.
We’ve delivered data platforms that handle terabytes of data, process millions of events daily, and support both operational and analytical workloads across multiple industries.
From modernizing legacy pipelines to building new data foundations for AI and analytics, we focus on one thing: engineering data systems that perform consistently in production.
WHAT WE OFFER
End-to-end services across the data lifecycle
AI-Ready Data Backbone (RAG & Agentic AI)
We build data foundations that support RAG & agent-based systems, enabling vector search, unstructured data persistence, and analytics modeling to provide AI workloads with secure, real-time, access to enterprise data.
- Vector Data Enablement
- Unstructured Data Foundations
- AI-Optimized Data Modeling
- Secure AI Data Access
Real-Time & Streaming Data Pipelines
We engineer real-time & batch data pipelines using Kafka, Spark, and Flink to support high-throughput ingestion, data transformations, event processing, fraud detection workflows, & real-time analytics at scale.
- High-Throughput Ingestion
- Event Processing & Transformation
- Fraud & Anomaly Detection
- Hybrid Batch + Streaming
Data Platform Modernization
We implement modern lakehouse and warehouse architectures on S3, GCS, and Azure, integrating platforms like Snowflake, BigQuery, and Redshift to support structured and unstructured data with analytics-ready models.
- Lakehouse Architecture Design
- Cloud-Native Warehousing
- Analytics-Ready Data Models
- Structured & Unstructured Data Support
Cloud Data FinOps & Optimization
We reduce cloud spend by matching resources to actual demand. Our team tunes your Snowflake, Databricks, or BigQuery environments to eliminate idle capacity and lower the cost of every query and pipeline.
- Cost Visibility & Attribution
- Query & Pipeline Optimization
- Capacity Right-Sizing
- Usage Governance Controls
Security, Compliance & Governance
We build secure, compliant data platforms using industry-standard frameworks, automated governance, vulnerability assessments, and continuous monitoring to ensure audit readiness & protect sensitive at scale.
- Data Access & Privacy Controls
- Audit & Compliance Readiness
- Automated Data Governance
- Continuous Security Monitoring
Scaling, DevOps & DataOps
We implement scalable architectures using Kubernetes-based autoscaling, sharding, replication, & partitioning strategies, supported by DevOps, DataOps, & MLOps practices to ensure reliability & performance at scale.
- Elastic Scaling Architecture
- Reliable Release Pipelines
- Operational Observability
- Controlled Change Management
WHAT WE OFFER
End-to-end services across the data lifecycle
AI-Ready Data Backbone (RAG & Agentic AI)
We build data foundations that support RAG & agent-based systems, enabling vector search, unstructured data persistence, and analytics modeling to provide AI workloads with secure, real-time, access to enterprise data.
Real-Time & Streaming Data Pipelines
We engineer real-time & batch data pipelines using Kafka, Spark, and Flink to support high-throughput ingestion, data transformations, event processing, fraud detection workflows, & real-time analytics at scale.
Data Platform Modernization
We implement modern lakehouse and warehouse architectures on S3, GCS, and Azure, integrating platforms like Snowflake, BigQuery, and Redshift to support structured and unstructured data with analytics-ready models.
Cloud Data FinOps & Optimization
We reduce cloud spend by matching resources to actual demand. Our team tunes your Snowflake, Databricks, or BigQuery environments to eliminate idle capacity and lower the cost of every query and pipeline.
Security, Compliance & Governance
We build secure, compliant data platforms using industry-standard frameworks, automated governance, vulnerability assessments, and continuous monitoring to ensure audit readiness & protect sensitive at scale.
Scaling, DevOps & DataOps
We implement scalable architectures using Kubernetes-based autoscaling, sharding, replication, & partitioning strategies, supported by DevOps, DataOps, & MLOps practices to ensure reliability & performance at scale.
Customers who grew with us
OUR WORK IN ACTION
Proven Data Platforms at Scale
2x Faster Feature Development for Legacy Marketing Software
We modernized a channel marketing automation platform by transforming its monolith into a microservices architecture — improving feature cycle time and boosting user engagement.
Concurrent Processing of 10K Rows for a Supply Chain Platform
We modernized a global supply chain platform serving 10K buyers and 200K suppliers, improving concurrency and scalability to support business expansion across 20 countries.
2x Faster Feature Delivery for Legacy Recruitment Software
We re-architected a 17-year-old recruitment automation platform, moving from an on-premise legacy system to a modern architecture — enabling faster feature releases.
Revolutionizing AdTech with Real-Time Analytics and Predictive AI
We modernized a media ad platform with real-time analytics and predictive AI—boosting rating accuracy by 50%.
Reimagining a Data Management & Observability Platform
We modernized a decade-old data management platform by redesigning its architecture, upgrading the UI, and enhancing backend performance across Private, Public, and Hybrid Cloud.
Our Partners
Customer Speak
“What I like most about Talentica is their ability to solve tough, cutting-edge problems with skilled engineers who are proactive and committed. They’ve consistently delivered high-quality products on tight timelines, making them a reliable partner for building innovative solutions from the ground up.”
Sudhir Menon
Co-founder & CPO
“Talentica has been part of the family at Mist, and they have been a key part of our engineering team. They bring us startup spirit and a wide range of required skills like Data Science, AI, Cloud, DevOps, UI, and Embedded.”
Bob Friday
Co-founder & CTO
“For an early-stage startup like ours, Talentica understood what we thought about user needs and the problems we were trying to solve. They imbibed our vision and helped us design and build a product that will sell and get to the market successfully. They brought expertise in emerging technologies like artificial intelligence and blockchain to enable innovation for us.”
Carmelle Cadet
Founder & CEO
“With Talentica, you get your engineering solution in one place. You can depend on them as you would depend on a family member. It allows you to be confident that all your engineering team needs will be met and grow in one space as opposed to trying to find them (solutions) with individual services or individual skill sets of people from the outside.”
Luke Jubb
President & COO
DIG DEEPER
Insights from our Product Modernization Journey
Frequently Asked Questions
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.